Overview

Dataset statistics

Number of variables24
Number of observations3261
Missing cells17930
Missing cells (%)22.9%
Duplicate rows101
Duplicate rows (%)3.1%
Total size in memory621.1 KiB
Average record size in memory195.0 B

Variable types

Text16
Categorical5
Numeric3

Dataset

Description한국원자력연구원_방사선 반응 실험에 대한 원문 정보 데이터 입니다. 데이터 칼럼 리스트는 샘플명(영문), 샘플명(국문), 분류군, 원산지, 형태, 부위, 숙주명, 숙주분류군, 숙주원신지, 원문명, 저자, 게재지, 원문링크, 피인용지수1(Impact Factor), 피인용지수2(Eigen Factor), 색인인용디비(SCIE여부), , 게재년도, 권, 호, 첫페이지, 끝페이지, 문서코드번호(PMID(doi)), 초록, 주요결과요약 입니다.
Author한국원자력연구원
URLhttps://www.data.go.kr/data/15034318/fileData.do

Alerts

숙주원신지 has constant value ""Constant
Dataset has 101 (3.1%) duplicate rowsDuplicates
원산지 is highly imbalanced (96.3%)Imbalance
형태 is highly imbalanced (98.0%)Imbalance
숙주분류군 is highly imbalanced (98.6%)Imbalance
부위 has 3255 (99.8%) missing valuesMissing
숙주명 has 3250 (99.7%) missing valuesMissing
숙주원신지 has 3260 (> 99.9%) missing valuesMissing
피인용지수1(Impact Factor) has 2357 (72.3%) missing valuesMissing
피인용지수2(Eigen Factor) has 2357 (72.3%) missing valuesMissing
has 444 (13.6%) missing valuesMissing
has 708 (21.7%) missing valuesMissing
첫페이지 has 375 (11.5%) missing valuesMissing
끝페이지 has 384 (11.8%) missing valuesMissing
문서코드번호(PMID(doi)) has 1338 (41.0%) missing valuesMissing
초록 has 148 (4.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:16:24.963416
Analysis finished2023-12-12 18:16:28.302751
Duration3.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2555
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2023-12-13T03:16:28.656514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length152
Median length70
Mean length16.59215
Min length1

Characters and Unicode

Total characters54107
Distinct characters384
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2229 ?
Unique (%)68.4%

Sample

1st row'Allahabad Safeda' Guava fruit; Psidium guajava L.(구아바)
2nd row'Lucknow-49' Guava fruit; Psidium guajava L.(구아바)
3rd row* 샘플명은 추후 Codex 식품 분류 기준으로 정리예정임
4th row1,8-cineol
5th row13-Day-old larvae
ValueCountFrequency (%)
red 150
 
1.9%
pepper 139
 
1.8%
l 119
 
1.5%
beef 92
 
1.2%
kimchi(irradiated 80
 
1.0%
pork 71
 
0.9%
meat 58
 
0.7%
seed 57
 
0.7%
egg 54
 
0.7%
white 53
 
0.7%
Other values (2616) 6980
88.9%
2023-12-13T03:16:29.347705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4880
 
9.0%
4593
 
8.5%
a 4484
 
8.3%
i 3481
 
6.4%
r 3415
 
6.3%
o 2638
 
4.9%
s 2492
 
4.6%
n 2368
 
4.4%
t 2351
 
4.3%
l 1945
 
3.6%
Other values (374) 21460
39.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41705
77.1%
Space Separator 4593
 
8.5%
Uppercase Letter 3659
 
6.8%
Other Letter 1572
 
2.9%
Decimal Number 712
 
1.3%
Other Punctuation 700
 
1.3%
Close Punctuation 427
 
0.8%
Open Punctuation 413
 
0.8%
Dash Punctuation 296
 
0.5%
Connector Punctuation 14
 
< 0.1%
Other values (4) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
2.8%
42
 
2.7%
38
 
2.4%
36
 
2.3%
26
 
1.7%
26
 
1.7%
25
 
1.6%
24
 
1.5%
24
 
1.5%
24
 
1.5%
Other values (287) 1263
80.3%
Lowercase Letter
ValueCountFrequency (%)
e 4880
11.7%
a 4484
 
10.8%
i 3481
 
8.3%
r 3415
 
8.2%
o 2638
 
6.3%
s 2492
 
6.0%
n 2368
 
5.7%
t 2351
 
5.6%
l 1945
 
4.7%
c 1903
 
4.6%
Other values (19) 11748
28.2%
Uppercase Letter
ValueCountFrequency (%)
C 428
 
11.7%
S 334
 
9.1%
P 316
 
8.6%
B 260
 
7.1%
L 244
 
6.7%
A 239
 
6.5%
M 223
 
6.1%
R 173
 
4.7%
T 171
 
4.7%
G 169
 
4.6%
Other values (16) 1102
30.1%
Decimal Number
ValueCountFrequency (%)
1 145
20.4%
2 128
18.0%
0 119
16.7%
3 67
9.4%
9 56
 
7.9%
4 52
 
7.3%
5 50
 
7.0%
7 33
 
4.6%
6 31
 
4.4%
8 31
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 273
39.0%
; 190
27.1%
, 148
21.1%
% 28
 
4.0%
/ 21
 
3.0%
' 18
 
2.6%
: 17
 
2.4%
& 3
 
0.4%
* 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 423
99.1%
] 4
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 409
99.0%
[ 4
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 4
66.7%
~ 2
33.3%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
4593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 296
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 45351
83.8%
Common 7169
 
13.2%
Hangul 1572
 
2.9%
Greek 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
2.8%
42
 
2.7%
38
 
2.4%
36
 
2.3%
26
 
1.7%
26
 
1.7%
25
 
1.6%
24
 
1.5%
24
 
1.5%
24
 
1.5%
Other values (287) 1263
80.3%
Latin
ValueCountFrequency (%)
e 4880
 
10.8%
a 4484
 
9.9%
i 3481
 
7.7%
r 3415
 
7.5%
o 2638
 
5.8%
s 2492
 
5.5%
n 2368
 
5.2%
t 2351
 
5.2%
l 1945
 
4.3%
c 1903
 
4.2%
Other values (44) 15394
33.9%
Common
ValueCountFrequency (%)
4593
64.1%
) 423
 
5.9%
( 409
 
5.7%
- 296
 
4.1%
. 273
 
3.8%
; 190
 
2.7%
, 148
 
2.1%
1 145
 
2.0%
2 128
 
1.8%
0 119
 
1.7%
Other values (20) 445
 
6.2%
Greek
ValueCountFrequency (%)
α 9
60.0%
μ 3
 
20.0%
β 3
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52514
97.1%
Hangul 1572
 
2.9%
None 15
 
< 0.1%
Punctuation 4
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4880
 
9.3%
4593
 
8.7%
a 4484
 
8.5%
i 3481
 
6.6%
r 3415
 
6.5%
o 2638
 
5.0%
s 2492
 
4.7%
n 2368
 
4.5%
t 2351
 
4.5%
l 1945
 
3.7%
Other values (71) 19867
37.8%
Hangul
ValueCountFrequency (%)
44
 
2.8%
42
 
2.7%
38
 
2.4%
36
 
2.3%
26
 
1.7%
26
 
1.7%
25
 
1.6%
24
 
1.5%
24
 
1.5%
24
 
1.5%
Other values (287) 1263
80.3%
None
ValueCountFrequency (%)
α 9
60.0%
μ 3
 
20.0%
β 3
 
20.0%
Punctuation
ValueCountFrequency (%)
4
100.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct2353
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2023-12-13T03:16:29.751338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length152
Median length71
Mean length11.08893
Min length1

Characters and Unicode

Total characters36161
Distinct characters588
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1957 ?
Unique (%)60.0%

Sample

1st row'Allahabad Safeda' Guava fruit; Psidium guajava L.(구아바)
2nd row'Lucknow-49' Guava fruit; Psidium guajava L.(구아바)
3rd row* 샘플명은 추후 Codex 식품 분류 기준으로 정리예정임
4th row1,8-cineol
5th row13-Day-old larvae
ValueCountFrequency (%)
red 112
 
1.8%
pepper 102
 
1.6%
kimchi(irradiated 80
 
1.3%
egg 42
 
0.7%
beef 42
 
0.7%
pork 39
 
0.6%
soybean 37
 
0.6%
분말 36
 
0.6%
white 32
 
0.5%
건조 32
 
0.5%
Other values (2487) 5752
91.2%
2023-12-13T03:16:30.393976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3045
 
8.4%
e 2688
 
7.4%
a 2305
 
6.4%
i 1875
 
5.2%
r 1806
 
5.0%
o 1403
 
3.9%
s 1323
 
3.7%
t 1272
 
3.5%
n 1236
 
3.4%
c 1058
 
2.9%
Other values (578) 18150
50.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22441
62.1%
Other Letter 6909
 
19.1%
Space Separator 3045
 
8.4%
Uppercase Letter 1827
 
5.1%
Decimal Number 654
 
1.8%
Close Punctuation 372
 
1.0%
Open Punctuation 370
 
1.0%
Other Punctuation 303
 
0.8%
Dash Punctuation 225
 
0.6%
Math Symbol 6
 
< 0.1%
Other values (3) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
196
 
2.8%
158
 
2.3%
154
 
2.2%
130
 
1.9%
129
 
1.9%
113
 
1.6%
110
 
1.6%
97
 
1.4%
89
 
1.3%
87
 
1.3%
Other values (493) 5646
81.7%
Lowercase Letter
ValueCountFrequency (%)
e 2688
12.0%
a 2305
 
10.3%
i 1875
 
8.4%
r 1806
 
8.0%
o 1403
 
6.3%
s 1323
 
5.9%
t 1272
 
5.7%
n 1236
 
5.5%
c 1058
 
4.7%
l 1056
 
4.7%
Other values (19) 6419
28.6%
Uppercase Letter
ValueCountFrequency (%)
C 179
 
9.8%
A 138
 
7.6%
S 131
 
7.2%
B 126
 
6.9%
P 125
 
6.8%
K 118
 
6.5%
I 111
 
6.1%
M 107
 
5.9%
G 93
 
5.1%
E 91
 
5.0%
Other values (15) 608
33.3%
Decimal Number
ValueCountFrequency (%)
1 134
20.5%
2 119
18.2%
0 107
16.4%
3 66
10.1%
9 50
 
7.6%
4 46
 
7.0%
5 45
 
6.9%
8 34
 
5.2%
7 30
 
4.6%
6 23
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 114
37.6%
. 106
35.0%
% 28
 
9.2%
/ 21
 
6.9%
' 18
 
5.9%
: 7
 
2.3%
; 4
 
1.3%
& 3
 
1.0%
* 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 368
98.9%
] 4
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 366
98.9%
[ 4
 
1.1%
Math Symbol
ValueCountFrequency (%)
+ 4
66.7%
~ 2
33.3%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
3045
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24255
67.1%
Hangul 6909
 
19.1%
Common 4982
 
13.8%
Greek 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
196
 
2.8%
158
 
2.3%
154
 
2.2%
130
 
1.9%
129
 
1.9%
113
 
1.6%
110
 
1.6%
97
 
1.4%
89
 
1.3%
87
 
1.3%
Other values (493) 5646
81.7%
Latin
ValueCountFrequency (%)
e 2688
 
11.1%
a 2305
 
9.5%
i 1875
 
7.7%
r 1806
 
7.4%
o 1403
 
5.8%
s 1323
 
5.5%
t 1272
 
5.2%
n 1236
 
5.1%
c 1058
 
4.4%
l 1056
 
4.4%
Other values (43) 8233
33.9%
Common
ValueCountFrequency (%)
3045
61.1%
) 368
 
7.4%
( 366
 
7.3%
- 225
 
4.5%
1 134
 
2.7%
2 119
 
2.4%
, 114
 
2.3%
0 107
 
2.1%
. 106
 
2.1%
3 66
 
1.3%
Other values (19) 332
 
6.7%
Greek
ValueCountFrequency (%)
α 9
60.0%
μ 3
 
20.0%
β 3
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29235
80.8%
Hangul 6909
 
19.1%
None 15
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3045
 
10.4%
e 2688
 
9.2%
a 2305
 
7.9%
i 1875
 
6.4%
r 1806
 
6.2%
o 1403
 
4.8%
s 1323
 
4.5%
t 1272
 
4.4%
n 1236
 
4.2%
c 1058
 
3.6%
Other values (70) 11224
38.4%
Hangul
ValueCountFrequency (%)
196
 
2.8%
158
 
2.3%
154
 
2.2%
130
 
1.9%
129
 
1.9%
113
 
1.6%
110
 
1.6%
97
 
1.4%
89
 
1.3%
87
 
1.3%
Other values (493) 5646
81.7%
None
ValueCountFrequency (%)
α 9
60.0%
μ 3
 
20.0%
β 3
 
20.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

분류군
Categorical

Distinct26
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
기타 (Etc)
1098 
채소 및 채소류 (Vegetables and Vegetable Products)
544 
과실류 및 과일 주스 (Fruits and Fruit Juices)
334 
향신료 및 조미료류 (Spices and Herbs)
262 
어패류 (Finfish and Shellfish Products)
154 
Other values (21)
869 

Length

Max length44
Median length38
Mean length25.308188
Min length8

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row과실류 및 과일 주스 (Fruits and Fruit Juices)
2nd row과실류 및 과일 주스 (Fruits and Fruit Juices)
3rd row기타 (Etc)
4th row기타 (Etc)
5th row기타 (Etc)

Common Values

ValueCountFrequency (%)
기타 (Etc) 1098
33.7%
채소 및 채소류 (Vegetables and Vegetable Products) 544
16.7%
과실류 및 과일 주스 (Fruits and Fruit Juices) 334
 
10.2%
향신료 및 조미료류 (Spices and Herbs) 262
 
8.0%
어패류 (Finfish and Shellfish Products) 154
 
4.7%
쇠고기 제품 (Beef Products) 134
 
4.1%
콩류 및 그 제품 (legume-products-icon) 99
 
3.0%
곡류 및 제품 (Cereal Grains and Pasta) 97
 
3.0%
돼지고기 제품 (Pork Products) 90
 
2.8%
유제품류 및 난류 (Dairy and Egg Products) 88
 
2.7%
Other values (16) 361
 
11.1%

Length

2023-12-13T03:16:30.572460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
and 1653
 
10.6%
1592
 
10.2%
products 1198
 
7.7%
기타 1113
 
7.2%
etc 1098
 
7.1%
채소 544
 
3.5%
채소류 544
 
3.5%
vegetables 544
 
3.5%
vegetable 544
 
3.5%
제품 519
 
3.3%
Other values (79) 6212
39.9%

원산지
Categorical

IMBALANCE 

Distinct28
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
3206 
korea
 
27
한국
 
3
-
 
1
korea(대전)
 
1
Other values (23)
 
23

Length

Max length23
Median length4
Mean length4.0371052
Min length1

Unique

Unique25 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3206
98.3%
korea 27
 
0.8%
한국 3
 
0.1%
- 1
 
< 0.1%
korea(대전) 1
 
< 0.1%
thailand 1
 
< 0.1%
국내산 1
 
< 0.1%
Korea 1
 
< 0.1%
한국산 1
 
< 0.1%
kprea 1
 
< 0.1%
Other values (18) 18
 
0.6%

Length

2023-12-13T03:16:30.787145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3206
98.0%
korea 28
 
0.9%
한국 3
 
0.1%
spain 1
 
< 0.1%
los 1
 
< 0.1%
angeles 1
 
< 0.1%
china 1
 
< 0.1%
tunis 1
 
< 0.1%
경기도 1
 
< 0.1%
안성시 1
 
< 0.1%
Other values (28) 28
 
0.9%

형태
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
3244 
dried
 
3
고체
 
3
분말
 
3
dry
 
3
Other values (4)
 
5

Length

Max length9
Median length4
Mean length4
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3244
99.5%
dried 3
 
0.1%
고체 3
 
0.1%
분말 3
 
0.1%
dry 3
 
0.1%
powder 2
 
0.1%
compoi\u 1
 
< 0.1%
Extracted 1
 
< 0.1%
raw 1
 
< 0.1%

Length

2023-12-13T03:16:30.936056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:16:31.095157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3244
99.5%
dried 3
 
0.1%
고체 3
 
0.1%
분말 3
 
0.1%
dry 3
 
0.1%
powder 2
 
0.1%
compoi\u 1
 
< 0.1%
extracted 1
 
< 0.1%
raw 1
 
< 0.1%

부위
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing3255
Missing (%)99.8%
Memory size25.6 KiB
2023-12-13T03:16:31.276092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7.5
Mean length6.1666667
Min length3

Characters and Unicode

Total characters37
Distinct characters17
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st rowleaf
2nd row닭고기
3rd rowground pork
4th rowground pork
5th rowpeel
ValueCountFrequency (%)
ground 2
25.0%
pork 2
25.0%
leaf 1
12.5%
닭고기 1
12.5%
peel 1
12.5%
loin 1
12.5%
2023-12-13T03:16:31.945702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 5
13.5%
r 4
10.8%
p 3
 
8.1%
e 3
 
8.1%
n 3
 
8.1%
l 3
 
8.1%
g 2
 
5.4%
k 2
 
5.4%
2
 
5.4%
d 2
 
5.4%
Other values (7) 8
21.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 32
86.5%
Other Letter 3
 
8.1%
Space Separator 2
 
5.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 5
15.6%
r 4
12.5%
p 3
9.4%
e 3
9.4%
n 3
9.4%
l 3
9.4%
g 2
 
6.2%
k 2
 
6.2%
d 2
 
6.2%
u 2
 
6.2%
Other values (3) 3
9.4%
Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32
86.5%
Hangul 3
 
8.1%
Common 2
 
5.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 5
15.6%
r 4
12.5%
p 3
9.4%
e 3
9.4%
n 3
9.4%
l 3
9.4%
g 2
 
6.2%
k 2
 
6.2%
d 2
 
6.2%
u 2
 
6.2%
Other values (3) 3
9.4%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34
91.9%
Hangul 3
 
8.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 5
14.7%
r 4
11.8%
p 3
8.8%
e 3
8.8%
n 3
8.8%
l 3
8.8%
g 2
 
5.9%
k 2
 
5.9%
2
 
5.9%
d 2
 
5.9%
Other values (4) 5
14.7%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

숙주명
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing3250
Missing (%)99.7%
Memory size25.6 KiB
2023-12-13T03:16:32.192108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length12.818182
Min length4

Characters and Unicode

Total characters141
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)81.8%

Sample

1st rowsweetpotato
2nd rowcitrus fruit
3rd rowCitrus fruit
4th rowsweet potato tuberous root
5th rowMango, papaya,Lychee
ValueCountFrequency (%)
rice 3
13.6%
fruit 2
 
9.1%
beans 2
 
9.1%
citrus 2
 
9.1%
sweet 1
 
4.5%
potato 1
 
4.5%
tuberous 1
 
4.5%
root 1
 
4.5%
sweetpotato 1
 
4.5%
papaya,lychee 1
 
4.5%
Other values (7) 7
31.8%
2023-12-13T03:16:32.610598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 16
11.3%
t 13
 
9.2%
r 11
 
7.8%
11
 
7.8%
a 10
 
7.1%
i 9
 
6.4%
o 9
 
6.4%
u 8
 
5.7%
s 8
 
5.7%
n 7
 
5.0%
Other values (21) 39
27.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 120
85.1%
Space Separator 11
 
7.8%
Uppercase Letter 7
 
5.0%
Other Punctuation 3
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 16
13.3%
t 13
10.8%
r 11
9.2%
a 10
8.3%
i 9
 
7.5%
o 9
 
7.5%
u 8
 
6.7%
s 8
 
6.7%
n 7
 
5.8%
c 5
 
4.2%
Other values (12) 24
20.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
14.3%
O 1
14.3%
M 1
14.3%
A 1
14.3%
L 1
14.3%
C 1
14.3%
B 1
14.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 127
90.1%
Common 14
 
9.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 16
12.6%
t 13
10.2%
r 11
 
8.7%
a 10
 
7.9%
i 9
 
7.1%
o 9
 
7.1%
u 8
 
6.3%
s 8
 
6.3%
n 7
 
5.5%
c 5
 
3.9%
Other values (19) 31
24.4%
Common
ValueCountFrequency (%)
11
78.6%
, 3
 
21.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 16
11.3%
t 13
 
9.2%
r 11
 
7.8%
11
 
7.8%
a 10
 
7.1%
i 9
 
6.4%
o 9
 
6.4%
u 8
 
5.7%
s 8
 
5.7%
n 7
 
5.0%
Other values (21) 39
27.7%

숙주분류군
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
3252 
과실류_및_과일_주스_(Fruits_and_Fruit_Juices)
 
3
곡류_및_제품 (Cereal_Grains_and_Pasta)
 
3
채소_및_채소류 (Vegetables_and_Vegetable_Products)
 
2
기타_(Etc)
 
1

Length

Max length44
Median length4
Mean length4.0827967
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3252
99.7%
과실류_및_과일_주스_(Fruits_and_Fruit_Juices) 3
 
0.1%
곡류_및_제품 (Cereal_Grains_and_Pasta) 3
 
0.1%
채소_및_채소류 (Vegetables_and_Vegetable_Products) 2
 
0.1%
기타_(Etc) 1
 
< 0.1%

Length

2023-12-13T03:16:32.824403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:16:32.988458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3252
99.6%
과실류_및_과일_주스_(fruits_and_fruit_juices 3
 
0.1%
곡류_및_제품 3
 
0.1%
cereal_grains_and_pasta 3
 
0.1%
채소_및_채소류 2
 
0.1%
vegetables_and_vegetable_products 2
 
0.1%
기타_(etc 1
 
< 0.1%

숙주원신지
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing3260
Missing (%)> 99.9%
Memory size25.6 KiB
2023-12-13T03:16:33.102563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowHawaii
ValueCountFrequency (%)
hawaii 1
100.0%
2023-12-13T03:16:33.354644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2
33.3%
i 2
33.3%
H 1
16.7%
w 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5
83.3%
Uppercase Letter 1
 
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
i 2
40.0%
w 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2
33.3%
i 2
33.3%
H 1
16.7%
w 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2
33.3%
i 2
33.3%
H 1
16.7%
w 1
16.7%
Distinct1542
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
2023-12-13T03:16:33.660181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length233
Median length161
Mean length92.285495
Min length15

Characters and Unicode

Total characters300943
Distinct characters554
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique968 ?
Unique (%)29.7%

Sample

1st rowIonizing radiation treatment to improve postharvest life and maintain quality of fresh guava fruit
2nd rowIonizing radiation treatment to improve postharvest life and maintain quality of fresh guava fruit
3rd row방사선(放射線) 조사(照射)에 의한 수세된 수삼(水蔘)의 저장(貯藏)
4th rowEffects of y Irradiation on the Volatile Compounds of Ginger Rhizome (Zingiber oficinale Roscoe)
5th rowEffect of gamma irradiation on food consumption, assimilation and digestive enzymes in Ephestia cautella (Walker) larvae
ValueCountFrequency (%)
of 3693
 
8.3%
and 2086
 
4.7%
on 1371
 
3.1%
irradiation 1302
 
2.9%
gamma 1097
 
2.5%
the 876
 
2.0%
in 783
 
1.8%
effect 696
 
1.6%
radiation 499
 
1.1%
effects 449
 
1.0%
Other values (4147) 31488
71.0%
2023-12-13T03:16:34.132056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41274
 
13.7%
a 22897
 
7.6%
i 21707
 
7.2%
e 19473
 
6.5%
o 19292
 
6.4%
t 16862
 
5.6%
n 16309
 
5.4%
r 14903
 
5.0%
s 10145
 
3.4%
d 9125
 
3.0%
Other values (544) 108956
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 209769
69.7%
Space Separator 41274
 
13.7%
Uppercase Letter 25154
 
8.4%
Other Letter 18849
 
6.3%
Other Punctuation 1931
 
0.6%
Dash Punctuation 1536
 
0.5%
Open Punctuation 843
 
0.3%
Close Punctuation 842
 
0.3%
Decimal Number 666
 
0.2%
Other Number 22
 
< 0.1%
Other values (5) 57
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1060
 
5.6%
814
 
4.3%
778
 
4.1%
708
 
3.8%
522
 
2.8%
465
 
2.5%
455
 
2.4%
409
 
2.2%
402
 
2.1%
401
 
2.1%
Other values (443) 12835
68.1%
Lowercase Letter
ValueCountFrequency (%)
a 22897
10.9%
i 21707
10.3%
e 19473
 
9.3%
o 19292
 
9.2%
t 16862
 
8.0%
n 16309
 
7.8%
r 14903
 
7.1%
s 10145
 
4.8%
d 9125
 
4.4%
c 8723
 
4.2%
Other values (21) 50333
24.0%
Uppercase Letter
ValueCountFrequency (%)
E 2615
 
10.4%
I 2319
 
9.2%
A 1824
 
7.3%
S 1786
 
7.1%
R 1727
 
6.9%
T 1591
 
6.3%
C 1580
 
6.3%
P 1484
 
5.9%
O 1227
 
4.9%
F 1057
 
4.2%
Other values (17) 7944
31.6%
Other Punctuation
ValueCountFrequency (%)
, 998
51.7%
. 398
 
20.6%
: 347
 
18.0%
/ 40
 
2.1%
· 40
 
2.1%
* 36
 
1.9%
27
 
1.4%
' 19
 
1.0%
; 13
 
0.7%
& 10
 
0.5%
Other values (3) 3
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 172
25.8%
7 169
25.4%
5 102
15.3%
0 63
 
9.5%
2 53
 
8.0%
6 36
 
5.4%
3 28
 
4.2%
4 18
 
2.7%
8 13
 
2.0%
9 12
 
1.8%
Other Number
ValueCountFrequency (%)
16
72.7%
5
 
22.7%
1
 
4.5%
Other Symbol
ValueCountFrequency (%)
° 12
63.2%
4
 
21.1%
3
 
15.8%
Math Symbol
ValueCountFrequency (%)
± 4
44.4%
~ 3
33.3%
+ 2
22.2%
Open Punctuation
ValueCountFrequency (%)
( 835
99.1%
[ 8
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 834
99.0%
] 8
 
1.0%
Final Punctuation
ValueCountFrequency (%)
11
73.3%
4
 
26.7%
Initial Punctuation
ValueCountFrequency (%)
8
66.7%
4
33.3%
Space Separator
ValueCountFrequency (%)
41274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1536
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 234716
78.0%
Common 47169
 
15.7%
Hangul 18526
 
6.2%
Han 323
 
0.1%
Greek 209
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1060
 
5.7%
814
 
4.4%
778
 
4.2%
708
 
3.8%
522
 
2.8%
465
 
2.5%
455
 
2.5%
409
 
2.2%
402
 
2.2%
401
 
2.2%
Other values (365) 12512
67.5%
Han
ValueCountFrequency (%)
38
 
11.8%
30
 
9.3%
21
 
6.5%
17
 
5.3%
12
 
3.7%
12
 
3.7%
9
 
2.8%
8
 
2.5%
7
 
2.2%
7
 
2.2%
Other values (68) 162
50.2%
Latin
ValueCountFrequency (%)
a 22897
 
9.8%
i 21707
 
9.2%
e 19473
 
8.3%
o 19292
 
8.2%
t 16862
 
7.2%
n 16309
 
6.9%
r 14903
 
6.3%
s 10145
 
4.3%
d 9125
 
3.9%
c 8723
 
3.7%
Other values (44) 75280
32.1%
Common
ValueCountFrequency (%)
41274
87.5%
- 1536
 
3.3%
, 998
 
2.1%
( 835
 
1.8%
) 834
 
1.8%
. 398
 
0.8%
: 347
 
0.7%
1 172
 
0.4%
7 169
 
0.4%
5 102
 
0.2%
Other values (32) 504
 
1.1%
Greek
ValueCountFrequency (%)
γ 150
71.8%
α 34
 
16.3%
β 21
 
10.0%
λ 3
 
1.4%
δ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281742
93.6%
Hangul 18521
 
6.2%
CJK 315
 
0.1%
None 288
 
0.1%
Punctuation 55
 
< 0.1%
CJK Compat Ideographs 8
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Letterlike Symbols 4
 
< 0.1%
Misc Symbols 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41274
14.6%
a 22897
 
8.1%
i 21707
 
7.7%
e 19473
 
6.9%
o 19292
 
6.8%
t 16862
 
6.0%
n 16309
 
5.8%
r 14903
 
5.3%
s 10145
 
3.6%
d 9125
 
3.2%
Other values (70) 89755
31.9%
Hangul
ValueCountFrequency (%)
1060
 
5.7%
814
 
4.4%
778
 
4.2%
708
 
3.8%
522
 
2.8%
465
 
2.5%
455
 
2.5%
409
 
2.2%
402
 
2.2%
401
 
2.2%
Other values (364) 12507
67.5%
None
ValueCountFrequency (%)
γ 150
52.1%
· 40
 
13.9%
α 34
 
11.8%
β 21
 
7.3%
16
 
5.6%
° 12
 
4.2%
5
 
1.7%
± 4
 
1.4%
λ 3
 
1.0%
1
 
0.3%
Other values (2) 2
 
0.7%
CJK
ValueCountFrequency (%)
38
 
12.1%
30
 
9.5%
21
 
6.7%
17
 
5.4%
12
 
3.8%
12
 
3.8%
9
 
2.9%
8
 
2.5%
7
 
2.2%
7
 
2.2%
Other values (66) 154
48.9%
Punctuation
ValueCountFrequency (%)
27
49.1%
11
20.0%
8
 
14.5%
4
 
7.3%
4
 
7.3%
1
 
1.8%
CJK Compat Ideographs
ValueCountFrequency (%)
6
75.0%
2
 
25.0%
Compat Jamo
ValueCountFrequency (%)
5
100.0%
Letterlike Symbols
ValueCountFrequency (%)
4
100.0%
Misc Symbols
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%

저자
Text

Distinct1517
Distinct (%)46.6%
Missing4
Missing (%)0.1%
Memory size25.6 KiB
2023-12-13T03:16:34.363459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length154
Mean length49.227203
Min length2

Characters and Unicode

Total characters160333
Distinct characters299
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique941 ?
Unique (%)28.9%

Sample

1st rowSP Singh, RK Pal
2nd rowSP Singh, RK Pal
3rd row조한옥,변명우,권중호,이재원
4th rowJia-Jiu Wu,Jui-Sen Yang
5th rowS.A. Boshra
ValueCountFrequency (%)
525
 
2.6%
a 356
 
1.8%
m 284
 
1.4%
kim 245
 
1.2%
s 179
 
0.9%
r 144
 
0.7%
e 128
 
0.6%
j 124
 
0.6%
c 113
 
0.6%
byun 113
 
0.6%
Other values (5980) 17704
88.9%
2023-12-13T03:16:34.786923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16803
 
10.5%
a 11298
 
7.0%
, 10940
 
6.8%
n 7922
 
4.9%
e 7428
 
4.6%
i 6658
 
4.2%
o 6082
 
3.8%
. 5694
 
3.6%
r 4459
 
2.8%
u 4442
 
2.8%
Other values (289) 78607
49.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 74065
46.2%
Uppercase Letter 38975
24.3%
Space Separator 16803
 
10.5%
Other Punctuation 16730
 
10.4%
Other Letter 11335
 
7.1%
Dash Punctuation 2384
 
1.5%
Decimal Number 21
 
< 0.1%
Modifier Symbol 11
 
< 0.1%
Final Punctuation 5
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
807
 
7.1%
601
 
5.3%
413
 
3.6%
362
 
3.2%
362
 
3.2%
321
 
2.8%
315
 
2.8%
315
 
2.8%
280
 
2.5%
270
 
2.4%
Other values (216) 7289
64.3%
Lowercase Letter
ValueCountFrequency (%)
a 11298
15.3%
n 7922
10.7%
e 7428
10.0%
i 6658
 
9.0%
o 6082
 
8.2%
r 4459
 
6.0%
u 4442
 
6.0%
h 3336
 
4.5%
l 2873
 
3.9%
g 2687
 
3.6%
Other values (18) 16880
22.8%
Uppercase Letter
ValueCountFrequency (%)
A 3889
 
10.0%
S 3074
 
7.9%
M 3017
 
7.7%
H 2697
 
6.9%
K 2306
 
5.9%
J 2185
 
5.6%
R 2003
 
5.1%
L 1978
 
5.1%
E 1741
 
4.5%
N 1626
 
4.2%
Other values (17) 14459
37.1%
Other Punctuation
ValueCountFrequency (%)
, 10940
65.4%
. 5694
34.0%
; 47
 
0.3%
* 22
 
0.1%
· 10
 
0.1%
' 7
 
< 0.1%
& 6
 
< 0.1%
/ 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 11
52.4%
4 6
28.6%
2 2
 
9.5%
3 2
 
9.5%
Space Separator
ValueCountFrequency (%)
16803
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2384
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 11
100.0%
Final Punctuation
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
] 3
100.0%
Control
ValueCountFrequency (%)
 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 113006
70.5%
Common 35958
 
22.4%
Hangul 11284
 
7.0%
Han 51
 
< 0.1%
Cyrillic 34
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
807
 
7.2%
601
 
5.3%
413
 
3.7%
362
 
3.2%
362
 
3.2%
321
 
2.8%
315
 
2.8%
315
 
2.8%
280
 
2.5%
270
 
2.4%
Other values (187) 7238
64.1%
Latin
ValueCountFrequency (%)
a 11298
 
10.0%
n 7922
 
7.0%
e 7428
 
6.6%
i 6658
 
5.9%
o 6082
 
5.4%
r 4459
 
3.9%
u 4442
 
3.9%
A 3889
 
3.4%
h 3336
 
3.0%
S 3074
 
2.7%
Other values (44) 54418
48.2%
Han
ValueCountFrequency (%)
4
 
7.8%
4
 
7.8%
4
 
7.8%
3
 
5.9%
3
 
5.9%
3
 
5.9%
3
 
5.9%
3
 
5.9%
3
 
5.9%
2
 
3.9%
Other values (19) 19
37.3%
Common
ValueCountFrequency (%)
16803
46.7%
, 10940
30.4%
. 5694
 
15.8%
- 2384
 
6.6%
; 47
 
0.1%
* 22
 
0.1%
´ 11
 
< 0.1%
1 11
 
< 0.1%
· 10
 
< 0.1%
' 7
 
< 0.1%
Other values (8) 29
 
0.1%
Cyrillic
ValueCountFrequency (%)
М 34
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 148916
92.9%
Hangul 11279
 
7.0%
CJK 50
 
< 0.1%
None 43
 
< 0.1%
Cyrillic 34
 
< 0.1%
Punctuation 5
 
< 0.1%
Compat Jamo 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16803
 
11.3%
a 11298
 
7.6%
, 10940
 
7.3%
n 7922
 
5.3%
e 7428
 
5.0%
i 6658
 
4.5%
o 6082
 
4.1%
. 5694
 
3.8%
r 4459
 
3.0%
u 4442
 
3.0%
Other values (57) 67190
45.1%
Hangul
ValueCountFrequency (%)
807
 
7.2%
601
 
5.3%
413
 
3.7%
362
 
3.2%
362
 
3.2%
321
 
2.8%
315
 
2.8%
315
 
2.8%
280
 
2.5%
270
 
2.4%
Other values (186) 7233
64.1%
Cyrillic
ValueCountFrequency (%)
М 34
100.0%
None
ValueCountFrequency (%)
´ 11
25.6%
ı 11
25.6%
ł 11
25.6%
· 10
23.3%
Punctuation
ValueCountFrequency (%)
5
100.0%
Compat Jamo
ValueCountFrequency (%)
5
100.0%
CJK
ValueCountFrequency (%)
4
 
8.0%
4
 
8.0%
4
 
8.0%
3
 
6.0%
3
 
6.0%
3
 
6.0%
3
 
6.0%
3
 
6.0%
3
 
6.0%
2
 
4.0%
Other values (18) 18
36.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct458
Distinct (%)14.1%
Missing3
Missing (%)0.1%
Memory size25.6 KiB
2023-12-13T03:16:35.064926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length156
Median length81
Mean length27.560467
Min length4

Characters and Unicode

Total characters89792
Distinct characters213
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)6.8%

Sample

1st rowRadiation physics and chemistry
2nd rowRadiation physics and chemistry
3rd rowApplied Biological Chemistry
4th rowJournal of Agricultural and Food Chemistry
5th rowJournal of Stored Products Research
ValueCountFrequency (%)
of 1411
 
11.3%
food 1330
 
10.6%
journal 1244
 
9.9%
and 1070
 
8.5%
science 644
 
5.1%
chemistry 589
 
4.7%
radiation 392
 
3.1%
physics 352
 
2.8%
한국식품영양과학회지 227
 
1.8%
nutrition 203
 
1.6%
Other values (535) 5053
40.4%
2023-12-13T03:16:35.592152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 9641
 
10.7%
9260
 
10.3%
n 6125
 
6.8%
i 5313
 
5.9%
a 5116
 
5.7%
e 4811
 
5.4%
r 4208
 
4.7%
t 3981
 
4.4%
c 3557
 
4.0%
l 3192
 
3.6%
Other values (203) 34588
38.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 62089
69.1%
Uppercase Letter 10541
 
11.7%
Space Separator 9260
 
10.3%
Other Letter 6764
 
7.5%
Decimal Number 483
 
0.5%
Other Punctuation 281
 
0.3%
Dash Punctuation 214
 
0.2%
Math Symbol 68
 
0.1%
Open Punctuation 42
 
< 0.1%
Close Punctuation 42
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
748
11.1%
636
9.4%
614
 
9.1%
590
 
8.7%
590
 
8.7%
563
 
8.3%
544
 
8.0%
439
 
6.5%
238
 
3.5%
237
 
3.5%
Other values (127) 1565
23.1%
Lowercase Letter
ValueCountFrequency (%)
o 9641
15.5%
n 6125
9.9%
i 5313
8.6%
a 5116
 
8.2%
e 4811
 
7.7%
r 4208
 
6.8%
t 3981
 
6.4%
c 3557
 
5.7%
l 3192
 
5.1%
d 3144
 
5.1%
Other values (16) 13001
20.9%
Uppercase Letter
ValueCountFrequency (%)
F 1302
12.4%
J 1228
11.6%
C 1057
10.0%
S 859
 
8.1%
P 814
 
7.7%
A 740
 
7.0%
R 708
 
6.7%
E 573
 
5.4%
I 494
 
4.7%
T 414
 
3.9%
Other values (16) 2352
22.3%
Decimal Number
ValueCountFrequency (%)
1 105
21.7%
0 72
14.9%
2 54
11.2%
3 51
10.6%
5 46
9.5%
6 42
 
8.7%
7 40
 
8.3%
8 27
 
5.6%
9 26
 
5.4%
4 20
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 101
35.9%
. 60
21.4%
& 55
19.6%
: 48
17.1%
' 7
 
2.5%
; 6
 
2.1%
/ 4
 
1.4%
Space Separator
ValueCountFrequency (%)
9260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%
Math Symbol
ValueCountFrequency (%)
= 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 72630
80.9%
Common 10398
 
11.6%
Hangul 6705
 
7.5%
Han 59
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
748
11.2%
636
9.5%
614
9.2%
590
 
8.8%
590
 
8.8%
563
 
8.4%
544
 
8.1%
439
 
6.5%
238
 
3.5%
237
 
3.5%
Other values (110) 1506
22.5%
Latin
ValueCountFrequency (%)
o 9641
13.3%
n 6125
 
8.4%
i 5313
 
7.3%
a 5116
 
7.0%
e 4811
 
6.6%
r 4208
 
5.8%
t 3981
 
5.5%
c 3557
 
4.9%
l 3192
 
4.4%
d 3144
 
4.3%
Other values (42) 23542
32.4%
Common
ValueCountFrequency (%)
9260
89.1%
- 214
 
2.1%
1 105
 
1.0%
, 101
 
1.0%
0 72
 
0.7%
= 68
 
0.7%
. 60
 
0.6%
& 55
 
0.5%
2 54
 
0.5%
3 51
 
0.5%
Other values (14) 358
 
3.4%
Han
ValueCountFrequency (%)
9
15.3%
5
 
8.5%
4
 
6.8%
4
 
6.8%
4
 
6.8%
4
 
6.8%
4
 
6.8%
4
 
6.8%
4
 
6.8%
4
 
6.8%
Other values (7) 13
22.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 83020
92.5%
Hangul 6705
 
7.5%
CJK 55
 
0.1%
Punctuation 8
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 9641
 
11.6%
9260
 
11.2%
n 6125
 
7.4%
i 5313
 
6.4%
a 5116
 
6.2%
e 4811
 
5.8%
r 4208
 
5.1%
t 3981
 
4.8%
c 3557
 
4.3%
l 3192
 
3.8%
Other values (64) 27816
33.5%
Hangul
ValueCountFrequency (%)
748
11.2%
636
9.5%
614
9.2%
590
 
8.8%
590
 
8.8%
563
 
8.4%
544
 
8.1%
439
 
6.5%
238
 
3.5%
237
 
3.5%
Other values (110) 1506
22.5%
CJK
ValueCountFrequency (%)
9
16.4%
5
9.1%
4
7.3%
4
7.3%
4
7.3%
4
7.3%
4
7.3%
4
7.3%
4
7.3%
4
7.3%
Other values (6) 9
16.4%
CJK Compat Ideographs
ValueCountFrequency (%)
4
100.0%
Punctuation
ValueCountFrequency (%)
4
50.0%
4
50.0%
Distinct1546
Distinct (%)47.4%
Missing2
Missing (%)0.1%
Memory size25.6 KiB
2023-12-13T03:16:35.892815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length362
Mean length67.234121
Min length12

Characters and Unicode

Total characters219116
Distinct characters78
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique975 ?
Unique (%)29.9%

Sample

1st rowhttps://www.sciencedirect.com/science/article/pii/S0969806X08002326
2nd rowhttps://www.sciencedirect.com/science/article/pii/S0969806X08002326
3rd rowhttps://academic.naver.com/article.naver - doc_id=38207108
4th rowhttps://pubs.acs.org/doi/abs/10.1021/jf00047a038
5th rowhttp://linkinghub.elsevier.com/retrieve/pii/S0022474X05000755
ValueCountFrequency (%)
1108
 
20.2%
https://academic.naver.com/article.naver 500
 
9.1%
via%3dihub 219
 
4.0%
http://www.ndsl.kr/ndsl/search/detail/article/articlesearchresultdetail.do 122
 
2.2%
doc_id=187806017 80
 
1.5%
http://linkinghub.elsevier.com/retrieve/pii/s0956713508001059 40
 
0.7%
http://koreascience.or.kr/journal/view.jsp 34
 
0.6%
http://www.riss.kr/search/detail/detailview.do 34
 
0.6%
http://www.iaea.org/inis/collection/nclcollectionstore/_public/23/027/23027665.pdf#page=131 34
 
0.6%
https://pubs.acs.org/doi/abs/10.1021/jf00047a038 30
 
0.5%
Other values (1587) 3274
59.8%
2023-12-13T03:16:36.355010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 15797
 
7.2%
e 12955
 
5.9%
i 12718
 
5.8%
t 11610
 
5.3%
0 11339
 
5.2%
. 10038
 
4.6%
c 9603
 
4.4%
r 8428
 
3.8%
1 7737
 
3.5%
a 7283
 
3.3%
Other values (68) 111608
50.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 121295
55.4%
Decimal Number 47521
 
21.7%
Other Punctuation 32634
 
14.9%
Uppercase Letter 9527
 
4.3%
Dash Punctuation 2686
 
1.2%
Space Separator 2216
 
1.0%
Math Symbol 1465
 
0.7%
Connector Punctuation 1280
 
0.6%
Open Punctuation 246
 
0.1%
Close Punctuation 246
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 12955
 
10.7%
i 12718
 
10.5%
t 11610
 
9.6%
c 9603
 
7.9%
r 8428
 
6.9%
a 7283
 
6.0%
o 6851
 
5.6%
p 5999
 
4.9%
n 5404
 
4.5%
l 5375
 
4.4%
Other values (16) 35069
28.9%
Uppercase Letter
ValueCountFrequency (%)
S 1342
14.1%
E 1210
12.7%
D 1142
12.0%
A 1006
10.6%
C 808
8.5%
X 614
6.4%
B 563
 
5.9%
O 542
 
5.7%
N 467
 
4.9%
R 301
 
3.2%
Other values (16) 1532
16.1%
Decimal Number
ValueCountFrequency (%)
0 11339
23.9%
1 7737
16.3%
2 4236
 
8.9%
9 3993
 
8.4%
6 3874
 
8.2%
3 3756
 
7.9%
8 3674
 
7.7%
4 3078
 
6.5%
5 2989
 
6.3%
7 2845
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/ 15797
48.4%
. 10038
30.8%
: 3299
 
10.1%
% 2945
 
9.0%
& 427
 
1.3%
# 96
 
0.3%
* 12
 
< 0.1%
; 12
 
< 0.1%
, 8
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 1375
93.9%
+ 90
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 2686
100.0%
Space Separator
ValueCountFrequency (%)
2216
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 130822
59.7%
Common 88294
40.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 12955
 
9.9%
i 12718
 
9.7%
t 11610
 
8.9%
c 9603
 
7.3%
r 8428
 
6.4%
a 7283
 
5.6%
o 6851
 
5.2%
p 5999
 
4.6%
n 5404
 
4.1%
l 5375
 
4.1%
Other values (42) 44596
34.1%
Common
ValueCountFrequency (%)
/ 15797
17.9%
0 11339
12.8%
. 10038
11.4%
1 7737
 
8.8%
2 4236
 
4.8%
9 3993
 
4.5%
6 3874
 
4.4%
3 3756
 
4.3%
8 3674
 
4.2%
: 3299
 
3.7%
Other values (16) 20551
23.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 15797
 
7.2%
e 12955
 
5.9%
i 12718
 
5.8%
t 11610
 
5.3%
0 11339
 
5.2%
. 10038
 
4.6%
c 9603
 
4.4%
r 8428
 
3.8%
1 7737
 
3.5%
a 7283
 
3.3%
Other values (68) 111608
50.9%

피인용지수1(Impact Factor)
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)7.7%
Missing2357
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean3.8296272
Minimum1.963
Maximum41.577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.8 KiB
2023-12-13T03:16:36.518062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.963
5-th percentile2.379
Q12.821
median3.451
Q34.09
95-th percentile5.158
Maximum41.577
Range39.614
Interquartile range (IQR)1.269

Descriptive statistics

Standard deviation2.2074235
Coefficient of variation (CV)0.57640688
Kurtosis102.98426
Mean3.8296272
Median Absolute Deviation (MAD)0.639
Skewness7.7628621
Sum3461.983
Variance4.8727184
MonotonicityNot monotonic
2023-12-13T03:16:36.704514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.667 136
 
4.2%
4.946 117
 
3.6%
2.383 116
 
3.6%
3.412 81
 
2.5%
3.451 62
 
1.9%
4.09 60
 
1.8%
2.821 54
 
1.7%
2.379 21
 
0.6%
14.357 18
 
0.6%
3.52 17
 
0.5%
Other values (60) 222
 
6.8%
(Missing) 2357
72.3%
ValueCountFrequency (%)
1.963 1
 
< 0.1%
1.968 1
 
< 0.1%
1.97 2
 
0.1%
2.011 1
 
< 0.1%
2.031 8
0.2%
2.047 2
 
0.1%
2.16 4
0.1%
2.173 2
 
0.1%
2.175 1
 
< 0.1%
2.201 1
 
< 0.1%
ValueCountFrequency (%)
41.577 1
 
< 0.1%
14.357 18
0.6%
9.523 4
 
0.1%
7.9 1
 
< 0.1%
6.02 11
0.3%
5.807 4
 
0.1%
5.789 2
 
0.1%
5.738 1
 
< 0.1%
5.554 1
 
< 0.1%
5.189 2
 
0.1%

피인용지수2(Eigen Factor)
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)7.5%
Missing2357
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean0.22804753
Minimum0.00054
Maximum1.86235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.8 KiB
2023-12-13T03:16:36.874672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00054
5-th percentile0.00565
Q10.10112
median0.1523
Q30.2808
95-th percentile0.7417
Maximum1.86235
Range1.86181
Interquartile range (IQR)0.17968

Descriptive statistics

Standard deviation0.24140055
Coefficient of variation (CV)1.0585537
Kurtosis2.9849409
Mean0.22804753
Median Absolute Deviation (MAD)0.1285
Skewness1.6031711
Sum206.15497
Variance0.058274227
MonotonicityNot monotonic
2023-12-13T03:16:37.060605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2808 136
 
4.2%
0.10112 117
 
3.6%
0.00895 116
 
3.6%
0.7417 81
 
2.5%
0.2028 62
 
1.9%
0.124 60
 
1.8%
0.1523 54
 
1.7%
0.1737 21
 
0.6%
0.72853 18
 
0.6%
0.3282 17
 
0.5%
Other values (58) 222
 
6.8%
(Missing) 2357
72.3%
ValueCountFrequency (%)
0.00054 1
 
< 0.1%
0.001 3
 
0.1%
0.00109 1
 
< 0.1%
0.00226 2
 
0.1%
0.00247 14
0.4%
0.00276 2
 
0.1%
0.00324 4
 
0.1%
0.00357 4
 
0.1%
0.00414 8
0.2%
0.00435 1
 
< 0.1%
ValueCountFrequency (%)
1.86235 1
 
< 0.1%
1.35581 1
 
< 0.1%
0.9696 2
 
0.1%
0.8137 6
 
0.2%
0.7417 81
2.5%
0.72853 18
 
0.6%
0.7189 8
 
0.2%
0.6431 11
 
0.3%
0.5506 1
 
< 0.1%
0.5092 2
 
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.6 KiB
<NA>
1974 
SCIE
1287 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSCIE
2nd rowSCIE
3rd rowSCIE
4th rowSCIE
5th rowSCIE

Common Values

ValueCountFrequency (%)
<NA> 1974
60.5%
SCIE 1287
39.5%

Length

2023-12-13T03:16:37.241332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:16:37.368552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1974
60.5%
scie 1287
39.5%

게재년도
Real number (ℝ)

Distinct56
Distinct (%)1.7%
Missing14
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean2004.6043
Minimum1950
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.8 KiB
2023-12-13T03:16:37.504629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1950
5-th percentile1986
Q12001
median2006
Q32012
95-th percentile2017
Maximum2019
Range69
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.277338
Coefficient of variation (CV)0.0051268664
Kurtosis5.6501905
Mean2004.6043
Median Absolute Deviation (MAD)6
Skewness-1.8461298
Sum6508950
Variance105.62368
MonotonicityNot monotonic
2023-12-13T03:16:37.654503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2005 236
 
7.2%
2009 195
 
6.0%
2006 170
 
5.2%
2007 157
 
4.8%
2015 155
 
4.8%
2013 146
 
4.5%
2004 135
 
4.1%
2001 135
 
4.1%
2016 129
 
4.0%
2002 128
 
3.9%
Other values (46) 1661
50.9%
ValueCountFrequency (%)
1950 20
0.6%
1964 5
 
0.2%
1966 8
 
0.2%
1967 4
 
0.1%
1968 2
 
0.1%
1969 4
 
0.1%
1970 4
 
0.1%
1971 5
 
0.2%
1972 4
 
0.1%
1973 9
0.3%
ValueCountFrequency (%)
2019 1
 
< 0.1%
2018 82
2.5%
2017 94
2.9%
2016 129
4.0%
2015 155
4.8%
2014 127
3.9%
2013 146
4.5%
2012 104
3.2%
2011 106
3.3%
2010 123
3.8%


Text

MISSING 

Distinct185
Distinct (%)6.6%
Missing444
Missing (%)13.6%
Memory size25.6 KiB
2023-12-13T03:16:38.005607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0124246
Min length1

Characters and Unicode

Total characters5669
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)1.1%

Sample

1st row78
2nd row78
3rd row29
4th row42
5th row43
ValueCountFrequency (%)
10 92
 
3.3%
42 79
 
2.8%
15 70
 
2.5%
30 70
 
2.5%
20 67
 
2.4%
28 59
 
2.1%
57 57
 
2.0%
65 51
 
1.8%
35 46
 
1.6%
8 43
 
1.5%
Other values (175) 2183
77.5%
2023-12-13T03:16:38.547285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 944
16.7%
2 656
11.6%
3 583
10.3%
6 554
9.8%
4 548
9.7%
7 546
9.6%
5 525
9.3%
0 505
8.9%
8 447
7.9%
9 356
 
6.3%
Other values (5) 5
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5664
99.9%
Uppercase Letter 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 944
16.7%
2 656
11.6%
3 583
10.3%
6 554
9.8%
4 548
9.7%
7 546
9.6%
5 525
9.3%
0 505
8.9%
8 447
7.9%
9 356
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
I 1
33.3%
X 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5666
99.9%
Latin 3
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 944
16.7%
2 656
11.6%
3 583
10.3%
6 554
9.8%
4 548
9.7%
7 546
9.6%
5 525
9.3%
0 505
8.9%
8 447
7.9%
9 356
 
6.3%
Other values (2) 2
 
< 0.1%
Latin
ValueCountFrequency (%)
L 1
33.3%
I 1
33.3%
X 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5669
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 944
16.7%
2 656
11.6%
3 583
10.3%
6 554
9.8%
4 548
9.7%
7 546
9.6%
5 525
9.3%
0 505
8.9%
8 447
7.9%
9 356
 
6.3%
Other values (5) 5
 
0.1%


Text

MISSING 

Distinct60
Distinct (%)2.4%
Missing708
Missing (%)21.7%
Memory size25.6 KiB
2023-12-13T03:16:38.822006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.4398747
Min length1

Characters and Unicode

Total characters3676
Distinct characters17
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)1.0%

Sample

1st row2
2nd row2
3rd row3
4th row11
5th row1
ValueCountFrequency (%)
1 509
18.9%
3 416
15.4%
2 334
12.4%
4 322
11.9%
5 183
 
6.8%
6 179
 
6.6%
10 84
 
3.1%
7 84
 
3.1%
8 76
 
2.8%
11 72
 
2.7%
Other values (52) 437
16.2%
2023-12-13T03:16:39.242102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 884
24.0%
3 475
12.9%
2 436
11.9%
0 359
9.8%
4 357
9.7%
6 225
 
6.1%
5 220
 
6.0%
143
 
3.9%
143
 
3.9%
143
 
3.9%
Other values (7) 291
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3242
88.2%
Other Letter 286
 
7.8%
Space Separator 143
 
3.9%
Lowercase Letter 3
 
0.1%
Uppercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 884
27.3%
3 475
14.7%
2 436
13.4%
0 359
11.1%
4 357
11.0%
6 225
 
6.9%
5 220
 
6.8%
7 110
 
3.4%
8 98
 
3.0%
9 78
 
2.4%
Other Letter
ValueCountFrequency (%)
143
50.0%
143
50.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
66.7%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
143
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3386
92.1%
Hangul 286
 
7.8%
Latin 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 884
26.1%
3 475
14.0%
2 436
12.9%
0 359
10.6%
4 357
10.5%
6 225
 
6.6%
5 220
 
6.5%
143
 
4.2%
7 110
 
3.2%
8 98
 
2.9%
Other values (2) 79
 
2.3%
Latin
ValueCountFrequency (%)
s 2
50.0%
B 1
25.0%
p 1
25.0%
Hangul
ValueCountFrequency (%)
143
50.0%
143
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3390
92.2%
Hangul 286
 
7.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 884
26.1%
3 475
14.0%
2 436
12.9%
0 359
10.6%
4 357
10.5%
6 225
 
6.6%
5 220
 
6.5%
143
 
4.2%
7 110
 
3.2%
8 98
 
2.9%
Other values (5) 83
 
2.4%
Hangul
ValueCountFrequency (%)
143
50.0%
143
50.0%

첫페이지
Text

MISSING 

Distinct749
Distinct (%)26.0%
Missing375
Missing (%)11.5%
Memory size25.6 KiB
2023-12-13T03:16:39.748496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length2.9348579
Min length1

Characters and Unicode

Total characters8470
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)9.9%

Sample

1st row135
2nd row135
3rd row288
4th row2574
5th row49
ValueCountFrequency (%)
22 83
 
2.9%
200 40
 
1.4%
121 38
 
1.3%
1 34
 
1.2%
2574 30
 
1.0%
79 29
 
1.0%
581 28
 
1.0%
181 28
 
1.0%
291 23
 
0.8%
490 23
 
0.8%
Other values (739) 2530
87.7%
2023-12-13T03:16:40.455540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1531
18.1%
2 1189
14.0%
3 896
10.6%
4 763
9.0%
7 759
9.0%
9 736
8.7%
5 710
8.4%
8 674
8.0%
0 630
7.4%
6 553
 
6.5%
Other values (5) 29
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8441
99.7%
Uppercase Letter 27
 
0.3%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1531
18.1%
2 1189
14.1%
3 896
10.6%
4 763
9.0%
7 759
9.0%
9 736
8.7%
5 710
8.4%
8 674
8.0%
0 630
7.5%
6 553
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
M 12
44.4%
S 8
29.6%
C 6
22.2%
E 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8441
99.7%
Latin 29
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1531
18.1%
2 1189
14.1%
3 896
10.6%
4 763
9.0%
7 759
9.0%
9 736
8.7%
5 710
8.4%
8 674
8.0%
0 630
7.5%
6 553
 
6.6%
Latin
ValueCountFrequency (%)
M 12
41.4%
S 8
27.6%
C 6
20.7%
e 2
 
6.9%
E 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1531
18.1%
2 1189
14.0%
3 896
10.6%
4 763
9.0%
7 759
9.0%
9 736
8.7%
5 710
8.4%
8 674
8.0%
0 630
7.4%
6 553
 
6.5%
Other values (5) 29
 
0.3%

끝페이지
Text

MISSING 

Distinct787
Distinct (%)27.4%
Missing384
Missing (%)11.8%
Memory size25.6 KiB
2023-12-13T03:16:40.989918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length2.950643
Min length1

Characters and Unicode

Total characters8489
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique300 ?
Unique (%)10.4%

Sample

1st row140
2nd row140
3rd row293
4th row2577
5th row52
ValueCountFrequency (%)
28 82
 
2.9%
204 48
 
1.7%
132 35
 
1.2%
2577 30
 
1.0%
589 25
 
0.9%
288 24
 
0.8%
86 23
 
0.8%
885 21
 
0.7%
189 21
 
0.7%
69 21
 
0.7%
Other values (777) 2547
88.5%
2023-12-13T03:16:41.682513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1346
15.9%
2 1097
12.9%
3 896
10.6%
4 879
10.4%
8 820
9.7%
7 748
8.8%
5 743
8.8%
6 701
8.3%
9 682
8.0%
0 550
6.5%
Other values (5) 27
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8462
99.7%
Uppercase Letter 26
 
0.3%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1346
15.9%
2 1097
13.0%
3 896
10.6%
4 879
10.4%
8 820
9.7%
7 748
8.8%
5 743
8.8%
6 701
8.3%
9 682
8.1%
0 550
6.5%
Uppercase Letter
ValueCountFrequency (%)
M 12
46.2%
S 7
26.9%
C 6
23.1%
E 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8462
99.7%
Latin 27
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1346
15.9%
2 1097
13.0%
3 896
10.6%
4 879
10.4%
8 820
9.7%
7 748
8.8%
5 743
8.8%
6 701
8.3%
9 682
8.1%
0 550
6.5%
Latin
ValueCountFrequency (%)
M 12
44.4%
S 7
25.9%
C 6
22.2%
e 1
 
3.7%
E 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1346
15.9%
2 1097
12.9%
3 896
10.6%
4 879
10.4%
8 820
9.7%
7 748
8.8%
5 743
8.8%
6 701
8.3%
9 682
8.0%
0 550
6.5%
Other values (5) 27
 
0.3%
Distinct990
Distinct (%)51.5%
Missing1338
Missing (%)41.0%
Memory size25.6 KiB
2023-12-13T03:16:42.012067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length55
Mean length29.044722
Min length1

Characters and Unicode

Total characters55853
Distinct characters78
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique641 ?
Unique (%)33.3%

Sample

1st rowhttp://dx.doi.org/10.1016/j.radphyschem.2008.09.007
2nd rowhttp://dx.doi.org/10.1016/j.radphyschem.2008.09.007
3rd row10.1021/jf00047a038
4th row10.1016/j.jspr.2005.11.001
5th row10.1016/0925-5214(96)00004-X
ValueCountFrequency (%)
10.1016/j.foodcont.2008.04.005 40
 
2.1%
10.1021/jf00047a038 30
 
1.6%
10.1016/s0969-806x(00)00350-9 21
 
1.1%
10.1111/j.1365-2621.1950.tb16728.x 20
 
1.0%
10.4315/0362-028x-57.9.758 15
 
0.8%
10.1016/s0308-8146(03)00050-5 15
 
0.8%
10.1021/jf020739n 13
 
0.7%
10.1016/j.fm.2014.09.013 12
 
0.6%
10.1016/j.meatsci.2013.07.034 12
 
0.6%
10.1016/j.fm.2016.02.007 12
 
0.6%
Other values (984) 1745
90.2%
2023-12-13T03:16:42.493793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9852
17.6%
1 8517
15.2%
. 6876
12.3%
2 2875
 
5.1%
6 2831
 
5.1%
/ 2359
 
4.2%
3 1823
 
3.3%
9 1648
 
3.0%
5 1647
 
2.9%
4 1513
 
2.7%
Other values (68) 15912
28.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33287
59.6%
Lowercase Letter 10160
 
18.2%
Other Punctuation 9392
 
16.8%
Dash Punctuation 1342
 
2.4%
Uppercase Letter 954
 
1.7%
Open Punctuation 339
 
0.6%
Close Punctuation 337
 
0.6%
Space Separator 15
 
< 0.1%
Connector Punctuation 15
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
j 1276
12.6%
o 1026
 
10.1%
h 707
 
7.0%
d 697
 
6.9%
t 633
 
6.2%
c 572
 
5.6%
e 548
 
5.4%
s 546
 
5.4%
r 521
 
5.1%
f 520
 
5.1%
Other values (16) 3114
30.6%
Uppercase Letter
ValueCountFrequency (%)
X 273
28.6%
S 267
28.0%
A 50
 
5.2%
J 47
 
4.9%
E 45
 
4.7%
P 43
 
4.5%
C 43
 
4.5%
I 32
 
3.4%
F 30
 
3.1%
B 20
 
2.1%
Other values (14) 104
 
10.9%
Decimal Number
ValueCountFrequency (%)
0 9852
29.6%
1 8517
25.6%
2 2875
 
8.6%
6 2831
 
8.5%
3 1823
 
5.5%
9 1648
 
5.0%
5 1647
 
4.9%
4 1513
 
4.5%
8 1346
 
4.0%
7 1235
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 6876
73.2%
/ 2359
 
25.1%
: 148
 
1.6%
; 4
 
< 0.1%
% 3
 
< 0.1%
, 2
 
< 0.1%
Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 336
99.1%
[ 3
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 334
99.1%
] 3
 
0.9%
Math Symbol
ValueCountFrequency (%)
< 8
88.9%
> 1
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 1342
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44736
80.1%
Latin 11114
 
19.9%
Hangul 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
j 1276
 
11.5%
o 1026
 
9.2%
h 707
 
6.4%
d 697
 
6.3%
t 633
 
5.7%
c 572
 
5.1%
e 548
 
4.9%
s 546
 
4.9%
r 521
 
4.7%
f 520
 
4.7%
Other values (40) 4068
36.6%
Common
ValueCountFrequency (%)
0 9852
22.0%
1 8517
19.0%
. 6876
15.4%
2 2875
 
6.4%
6 2831
 
6.3%
/ 2359
 
5.3%
3 1823
 
4.1%
9 1648
 
3.7%
5 1647
 
3.7%
4 1513
 
3.4%
Other values (15) 4795
10.7%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55850
> 99.9%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9852
17.6%
1 8517
15.2%
. 6876
12.3%
2 2875
 
5.1%
6 2831
 
5.1%
/ 2359
 
4.2%
3 1823
 
3.3%
9 1648
 
3.0%
5 1647
 
2.9%
4 1513
 
2.7%
Other values (65) 15909
28.5%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

초록
Text

MISSING 

Distinct1461
Distinct (%)46.9%
Missing148
Missing (%)4.5%
Memory size25.6 KiB
2023-12-13T03:16:42.859648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1024
Mean length904.31545
Min length6

Characters and Unicode

Total characters2815134
Distinct characters1058
Distinct categories19 ?
Distinct scripts6 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique899 ?
Unique (%)28.9%

Sample

1st rowWe investigated the potential of ionizing radiation for improving physiological responses, quality, and storage time of fresh guava fruit. Ionizing radiation treatment suppressed the respiration and ethylene production rates and thus retarded the process of fruit ripening during storage. Irradiation treatment also retarded the physical and biochemical changes associated with ripening such as firmness, titratable acidity, soluble solids content, and vitamin C during storage, but for doses higher than 0.25 kGy the vitamin C content decreased. The positive effects of ionizing radiation treatment on delayed fruit ripening and other quality attributes diminished during 22 days of storage at 10 °C. Thus, a combination of ionizing radiation with low-temperature storage (10 °C) did not have much synergistic effect on storage life and quality of guava fruit. In conclusion, ionizing radiation treatment of guava fruit with 0.25 kGy dose increased the postharvest life by 3 - 4 days, maintained fruit quality, and reduced
2nd rowWe investigated the potential of ionizing radiation for improving physiological responses, quality, and storage time of fresh guava fruit. Ionizing radiation treatment suppressed the respiration and ethylene production rates and thus retarded the process of fruit ripening during storage. Irradiation treatment also retarded the physical and biochemical changes associated with ripening such as firmness, titratable acidity, soluble solids content, and vitamin C during storage, but for doses higher than 0.25 kGy the vitamin C content decreased. The positive effects of ionizing radiation treatment on delayed fruit ripening and other quality attributes diminished during 22 days of storage at 10 °C. Thus, a combination of ionizing radiation with low-temperature storage (10 °C) did not have much synergistic effect on storage life and quality of guava fruit. In conclusion, ionizing radiation treatment of guava fruit with 0.25 kGy dose increased the postharvest life by 3 - 4 days, maintained fruit quality, and reduced
3rd row위생적 가공을 고려하여 수세(水洗)한 수삼(水蔘)의 장기 저장을 목적으로 포장방법을 달리하여 0,1,3 kGy의 감마선(線)을 조사(照射)하고 $4~5^{\circ}C$에 냉장하면서 이화학적(理化學的) 특성변화(特性變化)와 오염 미생물(微生物) 살균(殺菌) 및 선충(線忠) 살충(殺忠)실험을 수행한 결과(結果)는 다음과 같다. 물리적(物理的) 변화(變化)에 있어서 부제 및 중량감소율은 비조사구(非照射區)가 저장 90일에 100%의 부피와 20% 이상적 중량감소를 보인데 반해 $2~3\;kGy$ 조사구(照射區)는 20% 및 10% 내외(內外)의 낮은 부피와 감량을 나타냈다. 또한 수삼의 비중, 육질의 색도 및 경도(硬度)는 조사(照射)직후에는 조사구(照射區)가 비조사구(非照射區)에 비해 다소 낮은 수치를 보였으나 저장 기간이 경과함에 따라 비조사구(非照射區)보다 높은 수치를 보였다. 화학성분 변화에 있어서 일반성분은 조사구(照射區)나 비조사구간(非照射區間)에 변화가 없었고 인삼정(人蓼精) 및 saponin의 수율은 조사구(照射區)가 증가되었으며, TLC 및 HPLC에 의한 saponin의 pattern에는 변화가 없었다. 미생물은 $2~3\;kGy$ 조사(照射)로서 2~3 log cycles 이상 감균시켰고 1 kGy조사(照射)로 선충(線忠)은 완전 사멸되었다. 따라서 수세수심에 $2~3\;kGy$ 정도의 감마선을 조사(照射)함으로써 이화학적 특성에는 거의 영향을 미치지 많으면서 오염 미생물의 살균과 선충을 제거함에 따라 비조사구(非照射區)에 비해 위생적으로 2~3개월(個月) 이상 저장성을 효과적으로 연장시킬 수 있을 것으로 기대된다.인 수도체(水稻體) 하반부중(下半部中) 살충제잔류량(殺충劑殘留量)이 높을수록 살충효과(殺蟲效果)는 증대(增大)되었다. 따라서 시제품(試製品)의 이화학적(理化學的) 성질(性質) 및 약효면(藥效面)에서 혼합입제(混合粒劑)로서의 개발(開發)이 가능(可能)한 조합(組合)은 carbofuran 조합(組合)과 propoxur 6% 함유(含有) 조합(組合)이었는데 제제시(製劑時) 안정제(
4th rowGlngera e hed - &tad t & doN ofO.O6 SGy to b - t &pu and conrv& quality. eR of Y irdiebo on the flavor pounde of nar era etudiad. ARa 3 oth of to Rr i&dig - an, tbe quanti - w ofoe or vo}atile copound um e a-in&ne, a-bergamokne, er, gereotal, and awume were ORntly loNer ia - r&diated iA urradiakd - Aer, &ldlanceaafond - mmtelyeRerdig - oo. AtrieAg&Bboadaodi&e tan - wdlakd nd uaiadia ara a for l montb &t &bientkperatuN but ebo&d 6ignificnt diarenca aAar 5 onthe ofatoge
5th rowThe effects of gamma irradiation on the consumption, digestion and utilization of food by 8-18-day-old larvae of Ephestia cautella treated as 1-day-old larvae with 80Gy, and also on the activity of protease, amylase and invertase enzymes, were studied. Gamma irradiation decreased the amount of food consumed and digested by the treated larvae in comparison with un-irradiated ones. It also reduced assimilation efficiency which further reduced weight gain. Protease, amylase and invertase enzyme activity was adversely affected in all irradiated larvae. The results revealed a positive correlation between the activity of the digestive enzymes and the amount of food digested by the larvae.
ValueCountFrequency (%)
the 19597
 
4.4%
of 17753
 
4.0%
and 16535
 
3.7%
in 8145
 
1.8%
to 7433
 
1.7%
were 6317
 
1.4%
irradiation 5451
 
1.2%
was 5096
 
1.2%
4767
 
1.1%
a 4403
 
1.0%
Other values (20967) 347438
78.4%
2023-12-13T03:16:43.419987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
440804
15.7%
e 239107
 
8.5%
a 188483
 
6.7%
t 170492
 
6.1%
i 169354
 
6.0%
o 148511
 
5.3%
r 141510
 
5.0%
n 134980
 
4.8%
s 117874
 
4.2%
d 105049
 
3.7%
Other values (1048) 958970
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1996966
70.9%
Space Separator 440804
 
15.7%
Other Letter 149520
 
5.3%
Uppercase Letter 65778
 
2.3%
Decimal Number 62630
 
2.2%
Other Punctuation 61843
 
2.2%
Dash Punctuation 12545
 
0.4%
Open Punctuation 9490
 
0.3%
Close Punctuation 9471
 
0.3%
Math Symbol 2270
 
0.1%
Other values (9) 3817
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4947
 
3.3%
4327
 
2.9%
4076
 
2.7%
3801
 
2.5%
3223
 
2.2%
3052
 
2.0%
2918
 
2.0%
2869
 
1.9%
2616
 
1.7%
2494
 
1.7%
Other values (891) 115197
77.0%
Lowercase Letter
ValueCountFrequency (%)
e 239107
12.0%
a 188483
 
9.4%
t 170492
 
8.5%
i 169354
 
8.5%
o 148511
 
7.4%
r 141510
 
7.1%
n 134980
 
6.8%
s 117874
 
5.9%
d 105049
 
5.3%
c 76476
 
3.8%
Other values (28) 505130
25.3%
Uppercase Letter
ValueCountFrequency (%)
T 8444
12.8%
G 8107
12.3%
C 5963
 
9.1%
A 5143
 
7.8%
S 4106
 
6.2%
P 3529
 
5.4%
I 2864
 
4.4%
E 2809
 
4.3%
L 2551
 
3.9%
D 2539
 
3.9%
Other values (20) 19723
30.0%
Other Punctuation
ValueCountFrequency (%)
. 28917
46.8%
, 25477
41.2%
% 2044
 
3.3%
/ 2006
 
3.2%
: 942
 
1.5%
; 788
 
1.3%
\ 559
 
0.9%
& 478
 
0.8%
* 281
 
0.5%
· 181
 
0.3%
Other values (7) 170
 
0.3%
Other Symbol
ValueCountFrequency (%)
° 953
75.3%
260
 
20.5%
14
 
1.1%
® 9
 
0.7%
5
 
0.4%
5
 
0.4%
3
 
0.2%
3
 
0.2%
2
 
0.2%
2
 
0.2%
Other values (7) 10
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 534
23.5%
± 383
16.9%
× 290
12.8%
= 230
10.1%
187
 
8.2%
< 159
 
7.0%
115
 
5.1%
110
 
4.8%
+ 95
 
4.2%
> 93
 
4.1%
Other values (5) 74
 
3.3%
Decimal Number
ValueCountFrequency (%)
0 16722
26.7%
1 11472
18.3%
5 7899
12.6%
2 7179
11.5%
3 4771
 
7.6%
4 3708
 
5.9%
7 3488
 
5.6%
6 2841
 
4.5%
8 2317
 
3.7%
9 2233
 
3.6%
Other Number
ValueCountFrequency (%)
² 53
31.4%
53
31.4%
19
 
11.2%
13
 
7.7%
¹ 11
 
6.5%
³ 10
 
5.9%
9
 
5.3%
½ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 8942
94.4%
} 450
 
4.8%
] 76
 
0.8%
3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 8990
94.7%
{ 422
 
4.4%
[ 78
 
0.8%
Modifier Symbol
ValueCountFrequency (%)
^ 414
97.0%
` 12
 
2.8%
˚ 1
 
0.2%
Currency Symbol
ValueCountFrequency (%)
$ 1394
99.9%
1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
135
68.5%
62
31.5%
Initial Punctuation
ValueCountFrequency (%)
100
64.1%
56
35.9%
Control
ValueCountFrequency (%)
 7
70.0%
 3
30.0%
Space Separator
ValueCountFrequency (%)
440804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12545
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 196
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2061627
73.2%
Common 602871
 
21.4%
Hangul 147275
 
5.2%
Han 2241
 
0.1%
Greek 1118
 
< 0.1%
Cyrillic 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4947
 
3.4%
4327
 
2.9%
4076
 
2.8%
3801
 
2.6%
3223
 
2.2%
3052
 
2.1%
2918
 
2.0%
2869
 
1.9%
2616
 
1.8%
2494
 
1.7%
Other values (590) 112952
76.7%
Han
ValueCountFrequency (%)
167
 
7.5%
140
 
6.2%
106
 
4.7%
76
 
3.4%
54
 
2.4%
50
 
2.2%
46
 
2.1%
45
 
2.0%
40
 
1.8%
40
 
1.8%
Other values (290) 1477
65.9%
Common
ValueCountFrequency (%)
440804
73.1%
. 28917
 
4.8%
, 25477
 
4.2%
0 16722
 
2.8%
- 12545
 
2.1%
1 11472
 
1.9%
( 8990
 
1.5%
) 8942
 
1.5%
5 7899
 
1.3%
2 7179
 
1.2%
Other values (79) 33924
 
5.6%
Latin
ValueCountFrequency (%)
e 239107
11.6%
a 188483
 
9.1%
t 170492
 
8.3%
i 169354
 
8.2%
o 148511
 
7.2%
r 141510
 
6.9%
n 134980
 
6.5%
s 117874
 
5.7%
d 105049
 
5.1%
c 76476
 
3.7%
Other values (49) 569791
27.6%
Greek
ValueCountFrequency (%)
γ 471
42.1%
α 217
19.4%
β 191
17.1%
μ 180
 
16.1%
λ 38
 
3.4%
Δ 11
 
1.0%
δ 4
 
0.4%
ω 4
 
0.4%
Υ 2
 
0.2%
Cyrillic
ValueCountFrequency (%)
а 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2661273
94.5%
Hangul 147264
 
5.2%
None 3322
 
0.1%
CJK 2214
 
0.1%
Punctuation 376
 
< 0.1%
Math Operators 336
 
< 0.1%
Letterlike Symbols 267
 
< 0.1%
CJK Compat 36
 
< 0.1%
CJK Compat Ideographs 27
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Other values (6) 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
440804
16.6%
e 239107
 
9.0%
a 188483
 
7.1%
t 170492
 
6.4%
i 169354
 
6.4%
o 148511
 
5.6%
r 141510
 
5.3%
n 134980
 
5.1%
s 117874
 
4.4%
d 105049
 
3.9%
Other values (84) 805109
30.3%
Hangul
ValueCountFrequency (%)
4947
 
3.4%
4327
 
2.9%
4076
 
2.8%
3801
 
2.6%
3223
 
2.2%
3052
 
2.1%
2918
 
2.0%
2869
 
1.9%
2616
 
1.8%
2494
 
1.7%
Other values (586) 112941
76.7%
None
ValueCountFrequency (%)
° 953
28.7%
γ 471
14.2%
± 383
11.5%
× 290
 
8.7%
α 217
 
6.5%
β 191
 
5.7%
· 181
 
5.4%
μ 180
 
5.4%
110
 
3.3%
² 53
 
1.6%
Other values (25) 293
 
8.8%
Letterlike Symbols
ValueCountFrequency (%)
260
97.4%
5
 
1.9%
2
 
0.7%
Math Operators
ValueCountFrequency (%)
187
55.7%
115
34.2%
33
 
9.8%
1
 
0.3%
CJK
ValueCountFrequency (%)
167
 
7.5%
140
 
6.3%
106
 
4.8%
76
 
3.4%
54
 
2.4%
50
 
2.3%
46
 
2.1%
45
 
2.0%
40
 
1.8%
40
 
1.8%
Other values (282) 1450
65.5%
Punctuation
ValueCountFrequency (%)
135
35.9%
100
26.6%
62
16.5%
56
14.9%
23
 
6.1%
CJK Compat
ValueCountFrequency (%)
14
38.9%
5
 
13.9%
3
 
8.3%
3
 
8.3%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
1
 
2.8%
1
 
2.8%
Compat Jamo
ValueCountFrequency (%)
7
63.6%
2
 
18.2%
1
 
9.1%
1
 
9.1%
CJK Compat Ideographs
ValueCountFrequency (%)
7
25.9%
6
22.2%
6
22.2%
4
14.8%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Cyrillic
ValueCountFrequency (%)
а 2
100.0%
Box Drawing
ValueCountFrequency (%)
2
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Geometric Shapes
ValueCountFrequency (%)
1
100.0%
Distinct1537
Distinct (%)47.6%
Missing31
Missing (%)1.0%
Memory size25.6 KiB
2023-12-13T03:16:43.779239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length693
Mean length395.40712
Min length18

Characters and Unicode

Total characters1277165
Distinct characters1003
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique973 ?
Unique (%)30.1%

Sample

1st row우리는 잠재적인 이온화조사가 생리학적 반응, 품질, 그리고 저장기간을 증가시킬 수 있는 가능성을 구아바를 이용하여 보았음. 이온화 조사는 호흡을 감소시키고 에틸렌 생성을 감소시켜서 저장기간동안의 과숙과정을 저해시킴. 이온화조사는 또한 숙성과 관련된 품질요소인 firmness 등의 물리적, 생화학적 변화를 지연시킴. 그러나 0.25 kGy이상의 조사는 비타민 C를 감소시킴. 조사의 긍정적인 효과는 10도에서의 저장 22일째에 감소되었음. 조사와 저온보관의 시너지효과는 미미하였음. 결론적으로, 이온화 조사를 구아바에 0.25 kGy에서 하면 3-4일 정도 품질을 더 보존할 수 있음.
2nd row우리는 잠재적인 이온화조사가 생리학적 반응, 품질, 그리고 저장기간을 증가시킬 수 있는 가능성을 구아바를 이용하여 보았음. 이온화 조사는 호흡을 감소시키고 에틸렌 생성을 감소시켜서 저장기간동안의 과숙과정을 저해시킴. 이온화조사는 또한 숙성과 관련된 품질요소인 firmness 등의 물리적, 생화학적 변화를 지연시킴. 그러나 0.25 kGy이상의 조사는 비타민 C를 감소시킴. 조사의 긍정적인 효과는 10도에서의 저장 22일째에 감소되었음. 조사와 저온보관의 시너지효과는 미미하였음. 결론적으로, 이온화 조사를 구아바에 0.25 kGy에서 하면 3-4일 정도 품질을 더 보존할 수 있음.
3rd row공기, 진공 및 질소가스가 채워진 봉투에 수삼을 1,2,3 kGy의 감마선을 조사하여 90일 동안 보관한 다음 미생물의 불활성화, 살균 및 물리화학적 영향에 조사하였음. 90일 저장 후 2~3kGy가 조사된 그룹은 20%의 무게 감소와 10%의 부패가 되었음. 조사 직후의 비중, 색조 및 색도는 조사 직후 다소 어둡게 나타났으나 비조사군보다 저장 시간이 길수록 높은 값을 나타내었음. 조사는 수삼 추출물과 saponin의 수율을 증가시켰으나 saponin의 TLC와 HPLC 패턴데 근접한 효과에는 영향을 미치지 않았음. 미생물은 3 kGy 방사선으로 생존 세포수를 감소시켰으며 1 kGy 방사선으로 완전히 소독되었음.
4th row조사 후 3개월 저장한 것은 주요휘발성 화합물의 양은 조사되지 않은 생강보다 조사된 것이 현저하게 낮앗다. triangle test는 1개월동안은 저장한 것에는 차이가 없었으나 5개월 저장 후에는 상당한 차이를 보였다.
5th row감마선 조사를 이용해 control과 비교하여 조사 처리 된 유충은 섭취되고 소화 된 음식의 양을 감소시켰고, 체중 증가를 감소시키는 동화 효율을 감소시켰다. - Protease, amylase 및 invertase 효소 활성은 조사 된 모든 유충에서 감소되는것을 확인 할수 있다. 이러한 연구로 해충으로 인한 작물 손실을 방지할수 있다.
ValueCountFrequency (%)
감마선 3563
 
1.4%
3191
 
1.3%
조사 2214
 
0.9%
the 2147
 
0.8%
2090
 
0.8%
kgy 1955
 
0.8%
of 1853
 
0.7%
and 1659
 
0.6%
방사선 1413
 
0.6%
경우 1197
 
0.5%
Other values (24147) 233988
91.7%
2023-12-13T03:16:44.767103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255194
 
20.0%
e 36244
 
2.8%
a 31895
 
2.5%
i 29868
 
2.3%
t 27671
 
2.2%
o 26129
 
2.0%
r 22835
 
1.8%
n 20777
 
1.6%
s 19559
 
1.5%
. 18533
 
1.5%
Other values (993) 788460
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 547632
42.9%
Lowercase Letter 345460
27.0%
Space Separator 255194
20.0%
Decimal Number 42867
 
3.4%
Other Punctuation 39512
 
3.1%
Uppercase Letter 33460
 
2.6%
Open Punctuation 3215
 
0.3%
Close Punctuation 3208
 
0.3%
Dash Punctuation 2920
 
0.2%
Math Symbol 2730
 
0.2%
Other values (7) 967
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17780
 
3.2%
16768
 
3.1%
16484
 
3.0%
14894
 
2.7%
12065
 
2.2%
10996
 
2.0%
10116
 
1.8%
10085
 
1.8%
9855
 
1.8%
9170
 
1.7%
Other values (871) 419419
76.6%
Lowercase Letter
ValueCountFrequency (%)
e 36244
 
10.5%
a 31895
 
9.2%
i 29868
 
8.6%
t 27671
 
8.0%
o 26129
 
7.6%
r 22835
 
6.6%
n 20777
 
6.0%
s 19559
 
5.7%
l 17073
 
4.9%
c 15669
 
4.5%
Other values (21) 97740
28.3%
Uppercase Letter
ValueCountFrequency (%)
G 6640
19.8%
C 2802
 
8.4%
P 2272
 
6.8%
A 2059
 
6.2%
T 1947
 
5.8%
S 1924
 
5.8%
L 1762
 
5.3%
E 1456
 
4.4%
B 1437
 
4.3%
R 1400
 
4.2%
Other values (18) 9761
29.2%
Math Symbol
ValueCountFrequency (%)
| 1356
49.7%
~ 549
20.1%
> 214
 
7.8%
± 176
 
6.4%
< 164
 
6.0%
= 81
 
3.0%
53
 
1.9%
× 46
 
1.7%
40
 
1.5%
+ 34
 
1.2%
Other values (4) 17
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 18533
46.9%
, 17793
45.0%
/ 1187
 
3.0%
% 1133
 
2.9%
: 524
 
1.3%
* 118
 
0.3%
; 115
 
0.3%
& 55
 
0.1%
' 27
 
0.1%
18
 
< 0.1%
Other values (2) 9
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 10759
25.1%
1 8507
19.8%
5 5845
13.6%
2 4793
11.2%
3 3549
 
8.3%
4 2451
 
5.7%
7 2205
 
5.1%
6 1705
 
4.0%
8 1599
 
3.7%
9 1454
 
3.4%
Other Symbol
ValueCountFrequency (%)
360
58.6%
° 203
33.1%
® 24
 
3.9%
8
 
1.3%
6
 
1.0%
6
 
1.0%
3
 
0.5%
2
 
0.3%
1
 
0.2%
1
 
0.2%
Other Number
ValueCountFrequency (%)
8
61.5%
² 3
 
23.1%
2
 
15.4%
Open Punctuation
ValueCountFrequency (%)
( 3203
99.6%
[ 12
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 3196
99.6%
] 12
 
0.4%
Modifier Symbol
ValueCountFrequency (%)
^ 179
84.4%
˚ 33
 
15.6%
Initial Punctuation
ValueCountFrequency (%)
29
96.7%
1
 
3.3%
Final Punctuation
ValueCountFrequency (%)
27
96.4%
1
 
3.6%
Space Separator
ValueCountFrequency (%)
255194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2920
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 69
100.0%
Currency Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 547602
42.9%
Latin 378628
29.6%
Common 350613
27.5%
Greek 321
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17780
 
3.2%
16768
 
3.1%
16484
 
3.0%
14894
 
2.7%
12065
 
2.2%
10996
 
2.0%
10116
 
1.8%
10085
 
1.8%
9855
 
1.8%
9170
 
1.7%
Other values (869) 419389
76.6%
Common
ValueCountFrequency (%)
255194
72.8%
. 18533
 
5.3%
, 17793
 
5.1%
0 10759
 
3.1%
1 8507
 
2.4%
5 5845
 
1.7%
2 4793
 
1.4%
3 3549
 
1.0%
( 3203
 
0.9%
) 3196
 
0.9%
Other values (53) 19241
 
5.5%
Latin
ValueCountFrequency (%)
e 36244
 
9.6%
a 31895
 
8.4%
i 29868
 
7.9%
t 27671
 
7.3%
o 26129
 
6.9%
r 22835
 
6.0%
n 20777
 
5.5%
s 19559
 
5.2%
l 17073
 
4.5%
c 15669
 
4.1%
Other values (44) 130908
34.6%
Greek
ValueCountFrequency (%)
γ 157
48.9%
α 74
23.1%
β 57
 
17.8%
μ 22
 
6.9%
Δ 7
 
2.2%
λ 4
 
1.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 728131
57.0%
Hangul 547564
42.9%
None 904
 
0.1%
Letterlike Symbols 360
 
< 0.1%
Punctuation 58
 
< 0.1%
Math Operators 48
 
< 0.1%
Compat Jamo 38
 
< 0.1%
Modifier Letters 33
 
< 0.1%
CJK Compat 27
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255194
35.0%
e 36244
 
5.0%
a 31895
 
4.4%
i 29868
 
4.1%
t 27671
 
3.8%
o 26129
 
3.6%
r 22835
 
3.1%
n 20777
 
2.9%
s 19559
 
2.7%
. 18533
 
2.5%
Other values (75) 239426
32.9%
Hangul
ValueCountFrequency (%)
17780
 
3.2%
16768
 
3.1%
16484
 
3.0%
14894
 
2.7%
12065
 
2.2%
10996
 
2.0%
10116
 
1.8%
10085
 
1.8%
9855
 
1.8%
9170
 
1.7%
Other values (858) 419351
76.6%
Letterlike Symbols
ValueCountFrequency (%)
360
100.0%
None
ValueCountFrequency (%)
° 203
22.5%
± 176
19.5%
γ 157
17.4%
α 74
 
8.2%
β 57
 
6.3%
53
 
5.9%
× 46
 
5.1%
º 29
 
3.2%
® 24
 
2.7%
μ 22
 
2.4%
Other values (11) 63
 
7.0%
Math Operators
ValueCountFrequency (%)
40
83.3%
6
 
12.5%
2
 
4.2%
Modifier Letters
ValueCountFrequency (%)
˚ 33
100.0%
Punctuation
ValueCountFrequency (%)
29
50.0%
27
46.6%
1
 
1.7%
1
 
1.7%
CJK Compat
ValueCountFrequency (%)
8
29.6%
6
22.2%
6
22.2%
3
 
11.1%
2
 
7.4%
1
 
3.7%
1
 
3.7%
Compat Jamo
ValueCountFrequency (%)
7
18.4%
5
13.2%
5
13.2%
5
13.2%
4
10.5%
4
10.5%
2
 
5.3%
2
 
5.3%
2
 
5.3%
1
 
2.6%
CJK
ValueCountFrequency (%)
1
100.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%

Sample

샘플명(영문)샘플명(국문)분류군원산지형태부위숙주명숙주분류군숙주원신지원문명저자게재지원문링크피인용지수1(Impact Factor)피인용지수2(Eigen Factor)색인인용디비(SCIE여부)게재년도첫페이지끝페이지문서코드번호(PMID(doi))초록주요결과요약
0'Allahabad Safeda' Guava fruit; Psidium guajava L.(구아바)'Allahabad Safeda' Guava fruit; Psidium guajava L.(구아바)과실류 및 과일 주스 (Fruits and Fruit Juices)<NA><NA><NA><NA><NA><NA>Ionizing radiation treatment to improve postharvest life and maintain quality of fresh guava fruitSP Singh, RK PalRadiation physics and chemistryhttps://www.sciencedirect.com/science/article/pii/S0969806X08002326<NA><NA>SCIE2009782135140http://dx.doi.org/10.1016/j.radphyschem.2008.09.007We investigated the potential of ionizing radiation for improving physiological responses, quality, and storage time of fresh guava fruit. Ionizing radiation treatment suppressed the respiration and ethylene production rates and thus retarded the process of fruit ripening during storage. Irradiation treatment also retarded the physical and biochemical changes associated with ripening such as firmness, titratable acidity, soluble solids content, and vitamin C during storage, but for doses higher than 0.25 kGy the vitamin C content decreased. The positive effects of ionizing radiation treatment on delayed fruit ripening and other quality attributes diminished during 22 days of storage at 10 °C. Thus, a combination of ionizing radiation with low-temperature storage (10 °C) did not have much synergistic effect on storage life and quality of guava fruit. In conclusion, ionizing radiation treatment of guava fruit with 0.25 kGy dose increased the postharvest life by 3 - 4 days, maintained fruit quality, and reduced우리는 잠재적인 이온화조사가 생리학적 반응, 품질, 그리고 저장기간을 증가시킬 수 있는 가능성을 구아바를 이용하여 보았음. 이온화 조사는 호흡을 감소시키고 에틸렌 생성을 감소시켜서 저장기간동안의 과숙과정을 저해시킴. 이온화조사는 또한 숙성과 관련된 품질요소인 firmness 등의 물리적, 생화학적 변화를 지연시킴. 그러나 0.25 kGy이상의 조사는 비타민 C를 감소시킴. 조사의 긍정적인 효과는 10도에서의 저장 22일째에 감소되었음. 조사와 저온보관의 시너지효과는 미미하였음. 결론적으로, 이온화 조사를 구아바에 0.25 kGy에서 하면 3-4일 정도 품질을 더 보존할 수 있음.
1'Lucknow-49' Guava fruit; Psidium guajava L.(구아바)'Lucknow-49' Guava fruit; Psidium guajava L.(구아바)과실류 및 과일 주스 (Fruits and Fruit Juices)<NA><NA><NA><NA><NA><NA>Ionizing radiation treatment to improve postharvest life and maintain quality of fresh guava fruitSP Singh, RK PalRadiation physics and chemistryhttps://www.sciencedirect.com/science/article/pii/S0969806X08002326<NA><NA>SCIE2009782135140http://dx.doi.org/10.1016/j.radphyschem.2008.09.007We investigated the potential of ionizing radiation for improving physiological responses, quality, and storage time of fresh guava fruit. Ionizing radiation treatment suppressed the respiration and ethylene production rates and thus retarded the process of fruit ripening during storage. Irradiation treatment also retarded the physical and biochemical changes associated with ripening such as firmness, titratable acidity, soluble solids content, and vitamin C during storage, but for doses higher than 0.25 kGy the vitamin C content decreased. The positive effects of ionizing radiation treatment on delayed fruit ripening and other quality attributes diminished during 22 days of storage at 10 °C. Thus, a combination of ionizing radiation with low-temperature storage (10 °C) did not have much synergistic effect on storage life and quality of guava fruit. In conclusion, ionizing radiation treatment of guava fruit with 0.25 kGy dose increased the postharvest life by 3 - 4 days, maintained fruit quality, and reduced우리는 잠재적인 이온화조사가 생리학적 반응, 품질, 그리고 저장기간을 증가시킬 수 있는 가능성을 구아바를 이용하여 보았음. 이온화 조사는 호흡을 감소시키고 에틸렌 생성을 감소시켜서 저장기간동안의 과숙과정을 저해시킴. 이온화조사는 또한 숙성과 관련된 품질요소인 firmness 등의 물리적, 생화학적 변화를 지연시킴. 그러나 0.25 kGy이상의 조사는 비타민 C를 감소시킴. 조사의 긍정적인 효과는 10도에서의 저장 22일째에 감소되었음. 조사와 저온보관의 시너지효과는 미미하였음. 결론적으로, 이온화 조사를 구아바에 0.25 kGy에서 하면 3-4일 정도 품질을 더 보존할 수 있음.
2* 샘플명은 추후 Codex 식품 분류 기준으로 정리예정임* 샘플명은 추후 Codex 식품 분류 기준으로 정리예정임기타 (Etc)<NA><NA><NA><NA><NA><NA>방사선(放射線) 조사(照射)에 의한 수세된 수삼(水蔘)의 저장(貯藏)조한옥,변명우,권중호,이재원Applied Biological Chemistryhttps://academic.naver.com/article.naver - doc_id=38207108<NA><NA>SCIE1986293288293<NA>위생적 가공을 고려하여 수세(水洗)한 수삼(水蔘)의 장기 저장을 목적으로 포장방법을 달리하여 0,1,3 kGy의 감마선(線)을 조사(照射)하고 $4~5^{\circ}C$에 냉장하면서 이화학적(理化學的) 특성변화(特性變化)와 오염 미생물(微生物) 살균(殺菌) 및 선충(線忠) 살충(殺忠)실험을 수행한 결과(結果)는 다음과 같다. 물리적(物理的) 변화(變化)에 있어서 부제 및 중량감소율은 비조사구(非照射區)가 저장 90일에 100%의 부피와 20% 이상적 중량감소를 보인데 반해 $2~3\;kGy$ 조사구(照射區)는 20% 및 10% 내외(內外)의 낮은 부피와 감량을 나타냈다. 또한 수삼의 비중, 육질의 색도 및 경도(硬度)는 조사(照射)직후에는 조사구(照射區)가 비조사구(非照射區)에 비해 다소 낮은 수치를 보였으나 저장 기간이 경과함에 따라 비조사구(非照射區)보다 높은 수치를 보였다. 화학성분 변화에 있어서 일반성분은 조사구(照射區)나 비조사구간(非照射區間)에 변화가 없었고 인삼정(人蓼精) 및 saponin의 수율은 조사구(照射區)가 증가되었으며, TLC 및 HPLC에 의한 saponin의 pattern에는 변화가 없었다. 미생물은 $2~3\;kGy$ 조사(照射)로서 2~3 log cycles 이상 감균시켰고 1 kGy조사(照射)로 선충(線忠)은 완전 사멸되었다. 따라서 수세수심에 $2~3\;kGy$ 정도의 감마선을 조사(照射)함으로써 이화학적 특성에는 거의 영향을 미치지 많으면서 오염 미생물의 살균과 선충을 제거함에 따라 비조사구(非照射區)에 비해 위생적으로 2~3개월(個月) 이상 저장성을 효과적으로 연장시킬 수 있을 것으로 기대된다.인 수도체(水稻體) 하반부중(下半部中) 살충제잔류량(殺충劑殘留量)이 높을수록 살충효과(殺蟲效果)는 증대(增大)되었다. 따라서 시제품(試製品)의 이화학적(理化學的) 성질(性質) 및 약효면(藥效面)에서 혼합입제(混合粒劑)로서의 개발(開發)이 가능(可能)한 조합(組合)은 carbofuran 조합(組合)과 propoxur 6% 함유(含有) 조합(組合)이었는데 제제시(製劑時) 안정제(공기, 진공 및 질소가스가 채워진 봉투에 수삼을 1,2,3 kGy의 감마선을 조사하여 90일 동안 보관한 다음 미생물의 불활성화, 살균 및 물리화학적 영향에 조사하였음. 90일 저장 후 2~3kGy가 조사된 그룹은 20%의 무게 감소와 10%의 부패가 되었음. 조사 직후의 비중, 색조 및 색도는 조사 직후 다소 어둡게 나타났으나 비조사군보다 저장 시간이 길수록 높은 값을 나타내었음. 조사는 수삼 추출물과 saponin의 수율을 증가시켰으나 saponin의 TLC와 HPLC 패턴데 근접한 효과에는 영향을 미치지 않았음. 미생물은 3 kGy 방사선으로 생존 세포수를 감소시켰으며 1 kGy 방사선으로 완전히 소독되었음.
31,8-cineol1,8-cineol기타 (Etc)<NA><NA><NA><NA><NA><NA>Effects of y Irradiation on the Volatile Compounds of Ginger Rhizome (Zingiber oficinale Roscoe)Jia-Jiu Wu,Jui-Sen YangJournal of Agricultural and Food Chemistryhttps://pubs.acs.org/doi/abs/10.1021/jf00047a0383.4120.7417SCIE199442112574257710.1021/jf00047a038Glngera e hed - &tad t & doN ofO.O6 SGy to b - t &pu and conrv& quality. eR of Y irdiebo on the flavor pounde of nar era etudiad. ARa 3 oth of to Rr i&dig - an, tbe quanti - w ofoe or vo}atile copound um e a-in&ne, a-bergamokne, er, gereotal, and awume were ORntly loNer ia - r&diated iA urradiakd - Aer, &ldlanceaafond - mmtelyeRerdig - oo. AtrieAg&Bboadaodi&e tan - wdlakd nd uaiadia ara a for l montb &t &bientkperatuN but ebo&d 6ignificnt diarenca aAar 5 onthe ofatoge조사 후 3개월 저장한 것은 주요휘발성 화합물의 양은 조사되지 않은 생강보다 조사된 것이 현저하게 낮앗다. triangle test는 1개월동안은 저장한 것에는 차이가 없었으나 5개월 저장 후에는 상당한 차이를 보였다.
413-Day-old larvae13-Day-old larvae기타 (Etc)<NA><NA><NA><NA><NA><NA>Effect of gamma irradiation on food consumption, assimilation and digestive enzymes in Ephestia cautella (Walker) larvaeS.A. BoshraJournal of Stored Products Researchhttp://linkinghub.elsevier.com/retrieve/pii/S0022474X05000755<NA><NA>SCIE2007431495210.1016/j.jspr.2005.11.001The effects of gamma irradiation on the consumption, digestion and utilization of food by 8-18-day-old larvae of Ephestia cautella treated as 1-day-old larvae with 80Gy, and also on the activity of protease, amylase and invertase enzymes, were studied. Gamma irradiation decreased the amount of food consumed and digested by the treated larvae in comparison with un-irradiated ones. It also reduced assimilation efficiency which further reduced weight gain. Protease, amylase and invertase enzyme activity was adversely affected in all irradiated larvae. The results revealed a positive correlation between the activity of the digestive enzymes and the amount of food digested by the larvae.감마선 조사를 이용해 control과 비교하여 조사 처리 된 유충은 섭취되고 소화 된 음식의 양을 감소시켰고, 체중 증가를 감소시키는 동화 효율을 감소시켰다. - Protease, amylase 및 invertase 효소 활성은 조사 된 모든 유충에서 감소되는것을 확인 할수 있다. 이러한 연구로 해충으로 인한 작물 손실을 방지할수 있다.
515-20% skin15-20% skin기타 (Etc)<NA><NA><NA><NA><NA><NA>Effect of gamma-irradiation on ripening papaya pectinMin Zhao,James Moy,Robert E. PaullPostharvest Biology and Technologyhttps://www.sciencedirect.com/science/article/pii/0925-5214(96)00004-X - via%3Dihub3.1120.00929SCIE19968320922210.1016/0925-5214(96)00004-XPapaya (Carica papaya, L., var. Sunset) at three initial ripeness stages were irradiated with 0.25, 0.50, 0.75, 1.0, or 1.5 kGy gamma-irradiation and pectin changes during ripening determined. A significant linear relationship was found between irradiation dose and firmness immediately after irradiation. Irradiation had no effect on fruit skin or flesh color of papaya fruit irradiated at the 5 to 30% yellow stage and allowed to ripen. Papaya irradiated when 5 to 30% yellow showed no significant changes in pectin methylesterase activity when ripe. Immediately after irradiation, the pectin in 10 to 30% yellow papaya showed depolymerization and demethoxylation, though no effect on pectin methylesterase activity was detected. There was an increase in water soluble pectin (WSP), while chelator soluble (CSP) and alkali soluble pectin (ASP) decreased, with a significant decline in the methanol content of the ASP fraction. After the 25 to 30% yellow ripeness stage, fruit irradiated at 0.50 to 1.0 kGy had less pectic조사 직후 방사선량과 견고함사이에 유의한 선형관계가 나타났다. 방사선 조사는 5~30%황숙기와 숙성된상태에 조사된 파파야열매의 살색과 과일 껍질에 영향을 미치지 않았다. 조사 직후 10~30%의 노란색 파파야에있는 펙틴은 depolymerization과 demethoxylation이보이며, pectin methylesterase활성에는 영향을 주지 않았다. WSP의 중가가 있었으며, CSP와ASP는 감소하였고 ASP분획의 메탄올 함량은 현전히 감소했다.
618-Day-old larvae18-Day-old larvae기타 (Etc)<NA><NA><NA><NA><NA><NA>Effect of gamma irradiation on food consumption, assimilation and digestive enzymes in Ephestia cautella (Walker) larvaeS.A. BoshraJournal of Stored Products Researchhttp://linkinghub.elsevier.com/retrieve/pii/S0022474X05000755<NA><NA>SCIE2007431495210.1016/j.jspr.2005.11.001The effects of gamma irradiation on the consumption, digestion and utilization of food by 8-18-day-old larvae of Ephestia cautella treated as 1-day-old larvae with 80Gy, and also on the activity of protease, amylase and invertase enzymes, were studied. Gamma irradiation decreased the amount of food consumed and digested by the treated larvae in comparison with un-irradiated ones. It also reduced assimilation efficiency which further reduced weight gain. Protease, amylase and invertase enzyme activity was adversely affected in all irradiated larvae. The results revealed a positive correlation between the activity of the digestive enzymes and the amount of food digested by the larvae.감마선 조사를 이용해 control과 비교하여 조사 처리 된 유충은 섭취되고 소화 된 음식의 양을 감소시켰고, 체중 증가를 감소시키는 동화 효율을 감소시켰다. - Protease, amylase 및 invertase 효소 활성은 조사 된 모든 유충에서 감소되는것을 확인 할수 있다. 이러한 연구로 해충으로 인한 작물 손실을 방지할수 있다.
7velvet bean seeds1년생 콩의 일종견과류 및 종실류 (Nut and Seed Products)<NA><NA><NA><NA><NA><NA>Free radicals in velvet bean seeds (Mucuna pruriens L. DC.) and their status after γ-irradiation and conventional processingRajeev Bhat, Kandikere R.Sridhar, Brij BhushanLWT - Food Science and Technologyhttps://www.sciencedirect.com/science/article/pii/S0023643806003173<NA><NA><NA>2006<NA><NA><NA><NA>10.1016/j.lwt.2006.12.002Free radicals in velvet bean seeds, a nutarceutically valued legume were examined by electron spin resonance (ESR) spectroscopy. The status of free radicals present naturally, after irradiation and conventional processing were recorded by entrapping small quantities of seed samples in potassium chloride powder in ESR quartz tubes. The ESR signal at g=2.0055(±0.0001) were more prominent in seed coat than cotyledon portion. Gamma irradiation of seeds (for hygienization and quarantine purposes) at different doses (0, 2.5, 5, 7.5, 10, 15 and 30 kGy) resulted in a dose-dependent increase of signal intensity at g=2.0055 in seed coat as well as in cotyledon. In seed coat, a weak triplet (satellite peak) accompanied the central line. This satellite peak (left line ‘g’) can be used as an authentic indication of radiation treatment of Mucuna seeds and can be employed as one of the detection methods for similarly irradiated legume seeds possessing prominent seed coat. In cotyledon, irradiation at high doses (15 and 30 k본 연구의 결과는 자연적으로 존재하거나 방사선 및 통상적 인 가공 후에 생성 된 자유 라디칼의 검출에 ESR 기술을 사용하는 것이 적합 함을 입증한다. 이 연구의 결과는 검역 목적으로 Mucuna 종자의 감마선 조사를 성공적으로 적용 할 경우에도 가능할 수있다
82-heptanol2-heptanol기타 (Etc)<NA><NA><NA><NA><NA><NA>Effects of y Irradiation on the Volatile Compounds of Ginger Rhizome (Zingiber oficinale Roscoe)Jia-Jiu Wu,Jui-Sen YangJournal of Agricultural and Food Chemistryhttps://pubs.acs.org/doi/abs/10.1021/jf00047a0383.4120.7417SCIE199442112574257710.1021/jf00047a038Glngera e hed - &tad t & doN ofO.O6 SGy to b - t &pu and conrv& quality. eR of Y irdiebo on the flavor pounde of nar era etudiad. ARa 3 oth of to Rr i&dig - an, tbe quanti - w ofoe or vo}atile copound um e a-in&ne, a-bergamokne, er, gereotal, and awume were ORntly loNer ia - r&diated iA urradiakd - Aer, &ldlanceaafond - mmtelyeRerdig - oo. AtrieAg&Bboadaodi&e tan - wdlakd nd uaiadia ara a for l montb &t &bientkperatuN but ebo&d 6ignificnt diarenca aAar 5 onthe ofatoge조사 후 3개월 저장한 것은 주요휘발성 화합물의 양은 조사되지 않은 생강보다 조사된 것이 현저하게 낮앗다. triangle test는 1개월동안은 저장한 것에는 차이가 없었으나 5개월 저장 후에는 상당한 차이를 보였다.
92-nomanone2-nomanone기타 (Etc)<NA><NA><NA><NA><NA><NA>Effects of y Irradiation on the Volatile Compounds of Ginger Rhizome (Zingiber oficinale Roscoe)Jia-Jiu Wu,Jui-Sen YangJournal of Agricultural and Food Chemistryhttps://pubs.acs.org/doi/abs/10.1021/jf00047a0383.4120.7417SCIE199442112574257710.1021/jf00047a038Glngera e hed - &tad t & doN ofO.O6 SGy to b - t &pu and conrv& quality. eR of Y irdiebo on the flavor pounde of nar era etudiad. ARa 3 oth of to Rr i&dig - an, tbe quanti - w ofoe or vo}atile copound um e a-in&ne, a-bergamokne, er, gereotal, and awume were ORntly loNer ia - r&diated iA urradiakd - Aer, &ldlanceaafond - mmtelyeRerdig - oo. AtrieAg&Bboadaodi&e tan - wdlakd nd uaiadia ara a for l montb &t &bientkperatuN but ebo&d 6ignificnt diarenca aAar 5 onthe ofatoge조사 후 3개월 저장한 것은 주요휘발성 화합물의 양은 조사되지 않은 생강보다 조사된 것이 현저하게 낮앗다. triangle test는 1개월동안은 저장한 것에는 차이가 없었으나 5개월 저장 후에는 상당한 차이를 보였다.
샘플명(영문)샘플명(국문)분류군원산지형태부위숙주명숙주분류군숙주원신지원문명저자게재지원문링크피인용지수1(Impact Factor)피인용지수2(Eigen Factor)색인인용디비(SCIE여부)게재년도첫페이지끝페이지문서코드번호(PMID(doi))초록주요결과요약
3251흑새치흑새치어패류 (Finfish and Shellfish Products)<NA><NA><NA><NA><NA><NA>Physicochemical evaluation of the effects of irradiation and evisceration on the conservation of refrigerated blackfin tuna (Thunnus atlanticus)Monteiro, Maria L.G.,Marsico, Eliane T.,Vital, Helio C.2009 International Nuclear Atlantic Conferencehttps://inis.iaea.org/search/search.aspx - orig_q=RN:41072608<NA><NA><NA>2009<NA><NA><NA><NA><NA>Tuna is among the most traded fishes in Brazil, however efficiently delaying its fast deterioration is still a major practical challenge. Irradiation has been proposed as a safe and powerful alternative tool for conservation of seafood. This work investigated the effects of irradiation on the physicochemical quality of refrigerated blackfin tuna (Thunnus atlanticus). Analyses of pH, total volatile bases (TVB-N), ammonia and biogenic amines (histamine, cadaverine and putrescine) were performed in order to determine the degree of conservation. The samples were subjected to four different treatments aiming at evaluating the efficiency of irradiation, evisceration and both combined. The figures measured for those parameters, all of them related to the degree of conservation, were found to increase with time regardless of the treatment. In addition, data for irradiated samples remained consistently lower than for unirradiated ones, indicating a better level of preservation that led to an extended shelf life of 14손질한 흑새치를 감마선 2.5 kGy 조사한군와 비조사군, 손질하지 않은 흑새치를 감마선 2.5kGy, 비조사군으로 나누어 Total volatile Bases(TVB-B)을 조사한 결과 감마선을 조사한 흑새치가 TVB-N의 값이 가장 낮게 함유하고 있었고, 저장기간 역시 가장 길었다.
3252Brown sugar흑설탕향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>EFFECT OF SUPERVOLTAGE CATHODE RAYS ON BACTERIAL FLORA OF SPICES AND OTHER DRY FOOD MATERIALSBERNARD E. PROCTOR,SAMUEL A. GOLDBLITH,HARVEY FRAMJournal of Food Sciencehttp://doi.wiley.com/10.1111/j.1365-2621.1950.tb16728.x2.3830.00895SCIE195015649049310.1111/j.1365-2621.1950.tb16728.x<NA>133 krep 과 266 krep의 선량으로 전자선을 15초 동안 설탕, 전분, 향신료, 건조된 재료(백설탕, 흑설탕, 콩가루, 감자전분, 옥수수전분, 파프리카, 생강, 강황, 타임, 세이지, 육두구, 칠리 파우더, 흑후추, 붉은 고추, 양파분, 마늘분, 칡전분, 전란분, 전지분유, 아라비아 검)에 조사하여 호기성 혹은 혐기성의 중온세균과 호열성세균의 살균 여부를 확인하였음. 실험 결과에서 133 krep의 선량의 전자선 조사만으로도 다양한 종류의 식품의 살균이 효과적으로 일어났음.
3253Black papper흑후추기타 (Etc)<NA><NA><NA><NA><NA><NA>Effect of dose rate on inactivation of microorganisms in spices by electron-beams and gamma-rays irradiationH Ito, MS IslamRadiation Physics and Chemistryhttps://www.sciencedirect.com/science/article/pii/0969806X94901651<NA><NA><NA>1994<NA><NA><NA><NA>doi.org/10.1016/0969-806X(94)90165-1Total aerobic bacteria in spices used in this study were determined to be 1 × 106 to 6 × 107 per gram. A study on the inactivation of microorganisms in spices showed that doses of 6 - 9kGy of EB (electron-beams) or γ-irradiation were required to reduce the total aerobic bacteria in many However, a little increase of resistance was observed on the inactivation of total aerobic bacteria in many spices in case of EB irradiation. These difference of radiation sensitivities between EB and γ-rays was explained by dose rate effect on oxidation damage to microorganisms from the results of radiation sensitivities of Bacillus pumilus and B. megaterium spores at dry conditions. On the other hand, these high dose rate of EB irradiation suppressed the increase of peroxide values in spices at high dose irradiation up to 80 kGy. However, components of essential oils in spices were not changed even irradiated up to 50 kGy with EB and γ-rays.본 연구에서 사용된 향신료들의 총 호기성 세균은 g 당 1*106 - 6*107 수준이었음. 총 호기성 세균의 수는 g 당 103이하로 미생물을 제어하기 위해서는 6-9 kGy 선량의 전자선이나 감마선의 조사가 필요했음. 그러나 전자선의 경우 총 호기성 세균의 제어에서 약간의 저항성 증진이 나타나는 경향을 보였음. 전자선과 감마선 사이의 방사선 민감성 차이의 경우 선량률에 의한 미생물의 산화 데미지 효과 차이에서 기인한다고 볼 수 있음. 80 kGy 까지의 높은 선량의 전자선 조사는 향신료의 peroxide 수치를 억제하는 경향을 보였음. 그러나 향신료에서 기인한 정유의 경우 50 kGy 까지의 전자선과 감마선의 조사에는 영향을 받지 않았음.
3254Black pepper흑후추향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>Radiosensitivity of toxigenic Aspergillus isolated from spices and destruction of aflatoxins by gamma-irradiationTamikazu Kume, Hitoshi Ito, Harsono Soedarman, Isao IshigakiInternational Journal of Radiation Applications and Instrumentation. Part C. Radiation Physics and Chemistryhttps://www.sciencedirect.com/science/article/pii/1359019789903378<NA><NA><NA>1989<NA><NA><NA><NA>10.1016/1359-0197(89)90337-8Radiosensitivities of Aspergillus flavus var columnaris isolated from spices were investigated. The D10 values and induction doses were 267 - 293 Gy and 75 - 165 Gy in wet conditions, respectively. In dry conditions, the survival curves were exponential and D10 values were 538 - 600 Gy. The survival curves of standard strain of A. parasiticus IFO 30179 were similar both in wet and dry conditions. The necessary dose of 8 kGy for the destruction of these toxigenic Aspergillus was calculated from these values. Two of 11 strains of A. flavus var columnaris produced aflatoxins and the content of B1 was especially high. In the study of irradiation effect on aflatoxins produced on polished rice, aflatoxins G1 and B1 were more radiosensitive than G2 and B2. However, these aflatoxins were very stable to radiation and the dose required for destruction was found to be more than 500 kGy. It is therfore concluded that the decontamination of molds by irradiation is necessary prior to their production of aflatoxins.nutmeg, black pepper, polished rice에 감마선 조사시 Aspergillus flavus의 사멸도 및 독소의 제거율 조사
3255black pepper흑후추향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>Comparative effects of gamma and microwave irradiation on the quality of black pepperOmar Ahmed Emam, Scrag Ahmed Farag, Nagy Haliem AzizZeitschrift f - r Lebensmittel-Untersuchung und Forschunghttps://link.springer.com/article/10.1007/BF01201585<NA><NA><NA>1995<NA><NA><NA><NA>10.1007/BF01201585Powdered black pepper from Egyptian markets, was irradiated with different recommended doses of gamma rays (5.0 and 10.0 kGy) and with microwaves for different periods (20, 40 and 75 s) to improve its hygienic quality. The most common bacterial isolates were of three genera Bacillus, Clostridium and Micrococcus (7.5 × 106), whereas the predominant fungi (7.8 × 104) were Aspergillus species,A. glaucus, A. flavus, A. niger andA. ochraceus. Doses of gamma irradiation used (5.0 and 10 kGy) were sufficient to decrease spore-forming bacteria (SFB) and to inhibit the fungal flora and coliforms which contaminated the black pepper powder. Microwave treatments for 40 s and 75 s were of the same effectiveness whereas treatment for 20 s was less so. GLC analysis proved the presence of 31 peaks, only 19 compounds were identified as monoterpene hydrocarbons (56.21%), the major one being β-phellandrene and limonene. Sesquiterpenes were also present, mainly β-caryollphyllene (3.69%) as well as oxygenated compounds such as te흑후추 가루에 감마선 조사 (5.0, 10.0 kGy) 및 마이크로파 조사 (20, 40, 75초)시 Total aerobic bacteria, total coliform, total clostridum, total thermophilic, total moulds 의 사멸도 확인
3256Whole black pepper흑후추향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>Screening of gamma irradiated spices in Korea by using a microbiological method (DEFT/APC)K.N. Oh,S.Y. Lee,H.J. Lee,K.E. Kim,J.S. YangFood Controlhttp://linkinghub.elsevier.com/retrieve/pii/S09567135020010813.6670.2808SCIE200314748949410.1016/S0956-7135(02)00108-1Irradiation can be used to control the microbiological spoilage and pathogen microorganisms of foods. Microbiological changes associated with food irradiation include the reduction or elimination of spoilage and pathogenic microorganisms, insect disinfestation and parasite disinfection. The effects on the microbial populations of irradiated foods have been used to develop detection methods for irradiated foods. The method used in this study was direct epifluorescent filter technique/aerobic plate count (DEFT/APC), which is based on the difference between DEFT counts and APC counts. The samples were imported spices and domestic spices produced in Korea. These samples were irradiated at 1.0, 3.0, 5.0, 7.0, and 10 kGy to reduce the spoilage organisms. Irradiation doses of 3.0 kGy or over eliminated viable microorganisms effectively, and the logDEFT/APC ratio gradually increased with dose increment in all the samples. It could be suggested that if the logDEFT/APC ratio is 2.5 or over for peppers in Korea, the sam3.0 kGy과 그 이상에서의 방사선 조사는 생존가능한 미생물을 제거함. logDEFT=logAPC의 비율은 모든 샘플에서 선량이 높아질수록 증가함. 한국의 고추에 대한 logDEFT / logAPC 비율이 2.5 이상인 경우, 3.0 kGy 이상의 선량 수준으로 시료를 조사 할 수 있다고 제안함. DEFT / APC method는 한국에서 생산 된 향신료의 조사하는 데 사용될 수 있음.
3257Black pepper흑후추향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>EFFECT OF SUPERVOLTAGE CATHODE RAYS ON BACTERIAL FLORA OF SPICES AND OTHER DRY FOOD MATERIALSBERNARD E. PROCTOR,SAMUEL A. GOLDBLITH,HARVEY FRAMJournal of Food Sciencehttp://doi.wiley.com/10.1111/j.1365-2621.1950.tb16728.x2.3830.00895SCIE195015649049310.1111/j.1365-2621.1950.tb16728.x<NA>133 krep 과 266 krep의 선량으로 전자선을 15초 동안 설탕, 전분, 향신료, 건조된 재료(백설탕, 흑설탕, 콩가루, 감자전분, 옥수수전분, 파프리카, 생강, 강황, 타임, 세이지, 육두구, 칠리 파우더, 흑후추, 붉은 고추, 양파분, 마늘분, 칡전분, 전란분, 전지분유, 아라비아 검)에 조사하여 호기성 혹은 혐기성의 중온세균과 호열성세균의 살균 여부를 확인하였음. 실험 결과에서 133 krep의 선량의 전자선 조사만으로도 다양한 종류의 식품의 살균이 효과적으로 일어났음.
3258Black pepper흑후추향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>방사선 조사한 향신료의 저장중 미생물 변화이병우,김형찬한국식품저장유통학회지https://academic.naver.com/article.naver - doc_id=38893255<NA><NA><NA>199521203207<NA>Spices(Tumeric, Celery-seed, Cumin, Black pepper, Coriander) were irradiated at dose levels of 0, 5, 7 and 9kGy using Co60 source and stored at room temperature. After 12 months of storage following 9kGy irradiated spice, total aerobic bacteria were significantly decreased. When the irradiation dose was 7kGy, microbial levels showed l02-103 levels. However, total lactic acid bacteria and E-coli were shown negative at below 5kGy.감마선 조사를 받은 강황에 대한 저장중 미생물 변화를 검토한 결과 조사량 9 kGy로 조사하였을 때 초기균수와 관계없이 12개월 경과후 호기성 전세균은 101수준으로 나타났으며, 7 kGy이하로 감마선 조사에서 102-103의 수준으로 나타남. 대장균, 전유산균은 5 kGy에서 모두 음성으로 나타났으며 포장재질에 따른 미생물 변화는 나타나지 않았음. | 감마선 조사를 받은 고수풀에 대한 저장중 미생물 변화를 검토한 결과 조사량 9 kGy로 조사하였을 때 초기균수와 관계없이 12개월 경과후 호기성 전세균은 101수준으로 나타났으며, 7 kGy이하로 감마선 조사에서 102의 수준으로 나타남. 대장균, 전유산균은 5 kGy에서 모두 음성으로 나타났으며 포장재질에 따른 미생물 변화는 나타나지 않았음. | 감마선 조사를 받은 셀러리씨에 대한 저장중 미생물 변화를 검토한 결과 조사량 9 kGy로 조사하였을 때 초기균수와 관계없이 12개월 경과후 호기성 전세균은 101수준으로 나타났으며, 7 kGy이하로 감마선 조사에서 103의 수준으로 나타남. 대장균, 전유산균은 5 kGy에서 모두 음성으로 나타났으며 7 kGy조사 시 PET/Al/CPP포장에서 세균은 음성으로 나타남. | 감마선 조사를 받은 쿠민에 대한 저장중 미생물 변화를 검토한 결과 조사량 9 kGy로 조사하였을 때 초기균수와 관계없이 12개월 경과후 호기성 전세균은 101수준으로 나타났으며, 7 kGy이하로 감마선 조사에서 102-103의 수준으로 나타남. 대장균, 전유산균은 5 kGy에서 모두 음성으로 나타났으며 초기균수가 적어 7 kGy로 조사하였을 때 세균은 음성으로 나타남. | 감마선 조사를 받은 흑후추에 대한 저장중 미생물 변화를 검토한 결과 조사량 9 kGy로 조사하였을 때 초기균수와 관계없이 12개월 경과후 호기성 전세균은 101수준으로 나타났으며, 7 kGy이하로 감마선 조사에서 102-103의 수준으로 나타남. 대장균, 전유산균은 5 kGy에서 모두 음성으로 나타났으며 포장재질에 따른 미생물 변화는 나타나지 않았음.
3259Black pepper powder흑후추 분말향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>RADIATION STERILIZATION OF SPICES FOR HOSPITAL FOOD SERVICES AND PATIENT CAREN. GRECZ,R. AL-HARITHY,R. JAWJournal of Food Safetyhttp://doi.wiley.com/10.1111/j.1745-4565.1986.tb00546.x<NA><NA>SCIE19867424125510.1111/j.1745-4565.1986.tb00546.xA survey of the commercial spices used by food services in a typical hospital environment revealed high contamination with microorganisms, i.e., 104 to 107 counts per gram. The predominant microorganisms were as followed (in colony counts/gram): (1) heat-resistant bacterial spores in black pepper, 1 × 107; thyme, 2 × 106; anise, 7 × 104; curry powder, 4 × 105; poultry seasoning, 8 × 104; pickling spice, cardamom, and cumin, 1.5 - 3 × 104; (2) mixed populations of vegetative cells and bacterial spores in cumin, 1 × 106; (3) molds in cream of tartar, 2 × 104. Sterility of food may be important in a hospital setting, especially in the care of immunocompromised patients. To eliminate the organisms, we recommend radiation treatment, accompanied by appropriate microbiological quality control. On the basis of radiation survival data, the composite natural flora would be reduced to the level of “commercial sterility” (defined as less than 10 organisms per gram((Kiss 1982) by the following minimum radiation doses (in병원의 식재료로 납품되는 향신료나 조미료(흑후추분, 타임분, 아니스분, 카레분, 치킨 시즈닝, 피클링 스파이스, 카다멈분, 커민분, 타르타르영)에 1.8 kGy/h의 방사선량률로 각각 2, 3, 4, 7, 9 kGy까지의 감마선을 조사하였을 때 감균을 확인하였음. 상업적인 살균처리에서 필요한 감마선 조사량은 흑후추분, 타임분, 아니스분, 카레분, 치킨 시즈닝, 피클링 스파이스, 카다멈분, 커민분, 타르타르영 각각에서 13, 13, 10, 7.3, 6, 7, 9.4, 12, 4 kGy으로 나타났음. 결론적으로 병원으로 납품되는 향신료나 조미료의 경우 낮은 미생물 수준의 경우 6-10 kGy의 조사량이, 높은 미생물 수준의 경우 10-15 kGy의 조사량이 추천됨.
3260Powdered black pepper흑후추 파우더향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>Screening of gamma irradiated spices in Korea by using a microbiological method (DEFT/APC)K.N. Oh,S.Y. Lee,H.J. Lee,K.E. Kim,J.S. YangFood Controlhttp://linkinghub.elsevier.com/retrieve/pii/S09567135020010813.6670.2808SCIE200314748949410.1016/S0956-7135(02)00108-1Irradiation can be used to control the microbiological spoilage and pathogen microorganisms of foods. Microbiological changes associated with food irradiation include the reduction or elimination of spoilage and pathogenic microorganisms, insect disinfestation and parasite disinfection. The effects on the microbial populations of irradiated foods have been used to develop detection methods for irradiated foods. The method used in this study was direct epifluorescent filter technique/aerobic plate count (DEFT/APC), which is based on the difference between DEFT counts and APC counts. The samples were imported spices and domestic spices produced in Korea. These samples were irradiated at 1.0, 3.0, 5.0, 7.0, and 10 kGy to reduce the spoilage organisms. Irradiation doses of 3.0 kGy or over eliminated viable microorganisms effectively, and the logDEFT/APC ratio gradually increased with dose increment in all the samples. It could be suggested that if the logDEFT/APC ratio is 2.5 or over for peppers in Korea, the sam3.0 kGy과 그 이상에서의 방사선 조사는 생존가능한 미생물을 제거함. logDEFT=logAPC의 비율은 모든 샘플에서 선량이 높아질수록 증가함. 한국의 고추에 대한 logDEFT / logAPC 비율이 2.5 이상인 경우, 3.0 kGy 이상의 선량 수준으로 시료를 조사 할 수 있다고 제안함. DEFT / APC method는 한국에서 생산 된 향신료의 조사하는 데 사용될 수 있음.

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샘플명(영문)샘플명(국문)분류군원산지형태부위숙주명숙주분류군숙주원신지원문명저자게재지원문링크피인용지수1(Impact Factor)피인용지수2(Eigen Factor)색인인용디비(SCIE여부)게재년도첫페이지끝페이지문서코드번호(PMID(doi))초록주요결과요약# duplicates
94건조 청경채건조 청경채채소 및 채소류 (Vegetables and Vegetable Products)<NA><NA><NA><NA><NA><NA>ESR Spectroscopy에 의한 전자선 조사 건조 채소의 검지와 흡수선량 예측권중호,정형욱한국식품영양과학회지 = Journal of the Korean Society of Food Science and Nutritionhttp://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do - cn=JAKO199911920157174<NA><NA><NA>1999284882885<NA>Along with the increasing demands for food irradiation technology, proper detection methods for controlling irradiated foods are required. Dried vegetable(chunggyungchae), which is permitted to be irradiated in Korea, was subjected to a detection study by ESR spectroscopy. Pre established threshold value was successfully applicable to the detection of 50 coded unknown samples of dried clean vege tables, both nonirradiated and electron beam irradiated. Three calibration curves obtained from the samples irradiated at 2.5~15 kGy were not practically adopted to estimate actual absorbed doses ranging from 4 to 7 kGy.전자선을 조사한 건조채소를 ESR spectroscopy 를 통하여 검지하고 흡수 선량을 예측20
67Sargssum thunbergii지충이기타 (Etc)<NA><NA><NA><NA><NA><NA>지충이 추출물의 항산화, 항균 활성 및 물리적 특성에 미치는 감마선 조사의 영향이소정,송유진,이소영,김꽃봉우리,윤소영,이청조,정지연,박나비,곽지희,박진규,김재훈,최종일,이주운,변명우,안동현한국식품과학회지http://www.dbpia.co.kr/Article/NODE01706121<NA><NA><NA>2010424431437<NA>This study was carried out to determine the effect of gamma irradiation (3-20 kGy) on the antioxidant, antimicrobial activities and physical characteristics of Sargassum thunbergii (ST) extracts. When ST powder was treated by gamma irradiation, the yields and total phenolic compounds (TPC) of water extracts were increased, but radical scavenging activities were not changed. When ST extract was irradiated, the TPC and DPPH radical scavenging activities were increased. In addition, gamma irradiation of ST extract decreased viscosity and removed color. These results suggest that gamma irradiation would be a useful method for improving the physical characteristics of ST extract while maintaining native biological activities.지충이(Sargssum thunbergii) 분말 및 에탄올 추출물에 3, 7, 20 kGy의 감마선 조사를 실시하였음 에탄올 추출물의 열과 pH 처리에 따른 페놀함량과 DPPH 라디칼 소거능 변화를 측정한 결과, 조사선량에 따라 열 및 pH 처리에 안정한 항산화 활성을 보임 감마선 조사에 따른 항균활성 측정 결과, 5종의 그람 양성균에 대해 조사선량에 따른 활성의 차이를 보이지 않았음 반면, 감마선 조사에 따른 색도의 변화를 알아본 결과, 색도는 감마선 조사선량의 증가에 따라 유의적으로 감소함14
81maize옥수수기타 (Etc)<NA><NA><NA><NA><NA><NA>Inactivation of aflatoxigenic fungi and the reduction of aflatoxin B1invitro and in situ using gamma irradiationKsenija Markov,Branka Mihaljevi - ,Ana-Marija Domijan,Jelka Pleadin,Frane Dela - ,Jadranka FreceFood Controlhttp://linkinghub.elsevier.com/retrieve/pii/S09567135150006753.6670.2808SCIE201554<NA>798510.1016/j.foodcont.2015.01.036Detailed investigation on the effect of gamma (γ) irradiation on germination, sporulation, and growth of aflatoxigenic moulds (Aspergillus parasiticus - 2999, - Aspergillus flavus - 305, and - Aspergillus niger - 388), as well as on the reduction of aflatoxin B1 - (AFB1) level in artificially and naturally contaminated maize/feed samples was performed. The results of - in - vitro - and - in situ - experiments with aflatoxigenic moulds demonstrated that 5 - kGy-γ irradiation manages to prevent sporulation, germination and growth of the tested moulds both when in form of a pure and when in form of a mixed culture. In the feed samples artificially contaminated with AFB1 - (50 - μg - kg - 1) 5 - kGy-γ irradiation reduced AFB1 - level by around 60%, while 10 - kGy-dose reduce it for around 85%. Similarly, in feed samples spiked with AFB1 - in the concentrations of 100 - μg - kg - 1 - 5 - kGy-dose reduced the AFB1 - level by approximately 70%, while the dose of 10 - kGy reduced it by approximately 90%. The experime감마선을 이용한 aflatoxin B1과 aflatoxigenic fungi 비활성화 조사6
2Beef patty소고기 패티쇠고기 제품 (Beef Products)<NA><NA><NA><NA><NA><NA>Effects of Antioxidants and Gamma Irradiation on the Shelf Life of Beef PattiesJU-WOON LEE,HONG-SUN YOOK,SEONG-AI KIM,KYONG-HAENG LEE,MYUNG-WOO BYUNJournal of Food Protectionhttp://jfoodprotection.org/doi/abs/10.4315/0362-028X-62.6.619<NA><NA>SCIE199962661962410.4315/0362-028X-62.6.619To improve the storage safety of two types of ground beef patty popular in Korea (general beef patties and bulgogi patties), we added various antioxidants (200 ppm; including butylated hydroxyanisole, ascorbyl palmitate, α-tocopherol, and β-carotene) to typical formulations of patties, cooked the patties to 70°C, and irradiated them at a dose of 1.5 or 3 kGy. During 30 d of storage at 5°C, the number of aerobic bacteria and lactic acid bacteria were determined using total aerobic plate count and phenyl ethyl alcohol-sucrose agar, respectively. The concentration of thiobarbituric acid was also determined in each type of patty. No colonies were observed in patties irradiated at 3 kGy regardless of which antioxidant was added. In control patties and patties with butylated hydroxyanisole that were irradiated at a dose of 1.5 kGy, growth of microorganisms appeared to be more rapid than in patties with natural antioxidants. The microbiological safety of nonirradiated patties could not be ensured for a period of 20항산화제가 첨가된 것과 상관없이 3kGy에서 조사된 패티에서는 콜로니가 관찰되지않았따. 1.5kGy로 조사된 butylated hydroxyanisole을 함유한 패티는 천연항산화제를 갖고있는 패티보다 더 빠르게 미생물이 성장했다. 비방사선패티의 미생물학적 안정성은 20일동안 보장 될 수 없다 Ascorbyl palmitate는 천연항산화제 wd에서 가장 강한효과를 나타낸다.그러나 butylated hydroxyanisole은 ascorbyl palmitate 보다 같은 양을 사용했을 때 더 효과적이다, | 항산화제의 첨가 여부에 상관없이 3kGy을 조사했을 때 패티 안에 콜로니가 발견되지 않았음. 대조군 패티와 butylated hydroxyanisole을 첨가하고 1.5kGy 조사한 패티에서는 자연적 항산화제가 있는 패테이 비해 미생물의 성장 속도가 빨랐음. 20일 동안 저장한 비조사 패티의 미생물 안전성은 보장되지 않음. 지방산화는 항산화제가 첨가됐을 때 소고기 패티와 불고기 패티 모두에서 지연되었음. | 항산화제의 첨가 여부에 상관없이 3kGy을 조사했을 때 패티 안에 콜로니가 발견되지 않았음. 대조군 패티와 butylated hydroxyanisole을 첨가하고 1.5kGy 조사한 패티에서는 자연적 항산화제가 있는 패티에 비해 미생물의 성장 속도가 빨랐음. 20일 동안 저장한 비조사 패티의 미생물 안전성은 보장되지 않음. 지방산화는 항산화제가 첨가됐을 때 소고기 패티와 불고기 패티 모두에서 지연되었음.5
4Bulgogi patty불고기 패티쇠고기 제품 (Beef Products)<NA><NA><NA><NA><NA><NA>Effects of Antioxidants and Gamma Irradiation on the Shelf Life of Beef PattiesJU-WOON LEE,HONG-SUN YOOK,SEONG-AI KIM,KYONG-HAENG LEE,MYUNG-WOO BYUNJournal of Food Protectionhttp://jfoodprotection.org/doi/abs/10.4315/0362-028X-62.6.619<NA><NA>SCIE199962661962410.4315/0362-028X-62.6.619To improve the storage safety of two types of ground beef patty popular in Korea (general beef patties and bulgogi patties), we added various antioxidants (200 ppm; including butylated hydroxyanisole, ascorbyl palmitate, α-tocopherol, and β-carotene) to typical formulations of patties, cooked the patties to 70°C, and irradiated them at a dose of 1.5 or 3 kGy. During 30 d of storage at 5°C, the number of aerobic bacteria and lactic acid bacteria were determined using total aerobic plate count and phenyl ethyl alcohol-sucrose agar, respectively. The concentration of thiobarbituric acid was also determined in each type of patty. No colonies were observed in patties irradiated at 3 kGy regardless of which antioxidant was added. In control patties and patties with butylated hydroxyanisole that were irradiated at a dose of 1.5 kGy, growth of microorganisms appeared to be more rapid than in patties with natural antioxidants. The microbiological safety of nonirradiated patties could not be ensured for a period of 20항산화제가 첨가된 것과 상관없이 3kGy에서 조사된 패티에서는 콜로니가 관찰되지않았따. 1.5kGy로 조사된 butylated hydroxyanisole을 함유한 패티는 천연항산화제를 갖고있는 패티보다 더 빠르게 미생물이 성장했다. 비방사선패티의 미생물학적 안정성은 20일동안 보장 될 수 없다 Ascorbyl palmitate는 천연항산화제 wd에서 가장 강한효과를 나타낸다.그러나 butylated hydroxyanisole은 ascorbyl palmitate 보다 같은 양을 사용했을 때 더 효과적이다, | 항산화제의 첨가 여부에 상관없이 3kGy을 조사했을 때 패티 안에 콜로니가 발견되지 않았음. 대조군 패티와 butylated hydroxyanisole을 첨가하고 1.5kGy 조사한 패티에서는 자연적 항산화제가 있는 패테이 비해 미생물의 성장 속도가 빨랐음. 20일 동안 저장한 비조사 패티의 미생물 안전성은 보장되지 않음. 지방산화는 항산화제가 첨가됐을 때 소고기 패티와 불고기 패티 모두에서 지연되었음. | 항산화제의 첨가 여부에 상관없이 3kGy을 조사했을 때 패티 안에 콜로니가 발견되지 않았음. 대조군 패티와 butylated hydroxyanisole을 첨가하고 1.5kGy 조사한 패티에서는 자연적 항산화제가 있는 패티에 비해 미생물의 성장 속도가 빨랐음. 20일 동안 저장한 비조사 패티의 미생물 안전성은 보장되지 않음. 지방산화는 항산화제가 첨가됐을 때 소고기 패티와 불고기 패티 모두에서 지연되었음.5
64Pork patty돈육패티기타 (Etc)<NA><NA><NA><NA><NA><NA>감마선 조사와 푸코이단/라미나린 병용처리가 돈육 패티의 품질에 미치는 영향김현주,최종일,박진규,송범석,김재훈,윤요한,김천제,신미혜,변명우,이주운한국축산식품학회지https://academic.naver.com/article.naver - doc_id=30693104<NA><NA><NA>20092913439<NA>저급미역에서 추출한 푸코이단/라미나린의 천연 항산화제로서의 이용 가능성을 평가하기 위해 돈육 패티에 이를 첨가하여 품질평가를 하였다. 푸코이단/라미나린 첨가 돈육 패티의 지질산패도를 측정한 결과 무첨가구에 비해 효과적으로 패티의 지질산화를 억제한 것으로 나타났으며, 이는 조사선량에 따라 지질산화 억제 효과가 증진하였다. 감마선 조사한 돈육 패티의 색도 변화를 측정한 결과, 시료 무첨가구와 라미나린 첨가구는 조사에 의한 유의적인 차이는 없었으나 푸코이단 처리구의 경우 패티의 조사선량이 증가함에 따라 명도가 증가하는 경향을 보였다. 돈육 패티에 푸코이단/라미나린을 첨가 하였을 때 패티의 보수성이 증가하여 경도가 감소하였으며, 이는 감마선 조사에 의한 유의적인 차이는 없는 것으로 나타났다. 그리고 감마선 조사와 푸코이단/라미나린 병용처리는 패티의 미생물을 제어하는 것으로 나타났다. 본 연구 결과 감마선 조사와 이 기술을 활용하여 추출한 푸코이단/라미나린을 병용처리 하였을 때 미생물학적 안전성을 확보하고 품질을 개선시켜 식품산업에서의 천연 항산화제로서 적용할 수 있을 것이라고 판단된다. The objective of this study was investigated to apply the fucoidan and laminarin extract from low-grade Undaria pinnatifida to real food product, a pork patty. Pork patties added with fucoidan and laminarin showed lower lipid oxidation and the inhibition against lipid oxidation was shown to be dependent on the irradiation doses. The Hunter color values of pork patty added with fucoidan increased significantly with an increase of irradiation dose. The hardness prof푸코이단 첨가 돈육 패티의 지질산패도를 측정한 결과 무첨가구에 비해 효과적으로 패티의 지질산화를 억제한 것으로 나타났음 감마선 조사한 돈육 패티의 색도 변화를 측정한 결과, 푸코이단 처리구의 경우 패티의 조사선량이 증가함에 따라 명도가 증가하는 경향을 보였음 돈육 패티에 푸코이단을 첨가하였을 때 패티의 보수성이 증가하여 경도가 감소하였으며, 이는 감마선 조사에 의한 유의적인 차이는 없는 것으로 나타남5
65Punica granatum L. Punicaceae석류과실류 및 과일 주스 (Fruits and Fruit Juices)<NA><NA><NA><NA><NA><NA>Investigation of Radiation-Induced Free Radicals and Luminescence Properties in Fresh Pomegranate FruitsHafiz M. Shahbaz,Kashif Akram,Jae-Jun Ahn,Joong-Ho KwonAmerican Chemical Societyhttp://pubs.acs.org/doi/10.1021/jf305438814.3570.72853<NA>201361174019402510.1021/jf3054388Radiation-induced free radicals and luminescence properties were investigated in γ-irradiated (0 - 3 kGy) pomegranate (Punica granatum L.) fruits. Photostimulated luminescence (PSL) analysis showed limited applicability, and only 3 kGy-irradiated pomegranates showed positive PSL values (>5000 PCs). Thermoluminescence (TL) glow curve features, such as intensity and the presence of maximum glow peak in radiation-specific temperature range (150 - 250 °C), provided definite proof of irradiation, and the TL ratios (TL1/TL2) also confirmed the reliability of TL results. Scanning electron microscopy energy dispersive X-ray (SEM-EDX) analysis of the separated minerals showed that feldspar and quartz minerals were responsible for the luminescence properties. Radiation-induced cellulose radicals were detected in the seeds and rinds by ESR analysis. The ESR results were better in freeze-dried samples than in alcohol-extracted ones. A positive correlation was found between the ESR and TL signal intensities and irradiatio감마선 처리에 의한 석류의 SEM-EDX 분석5
98배추배추채소 및 채소류 (Vegetables and Vegetable Products)<NA><NA><NA><NA><NA><NA>저선량 γ선 조사가 배추종자의 발아와 수량에 미치는 효과김재성,김진규,이영근,백명화,김정규한국환경농학회지https://academic.naver.com/article.naver - doc_id=37877971<NA><NA><NA>1998173274278<NA>저선량 방사선에 의한 식물생육 촉진효과를 보고자 남방계 배추품종의 1~5년간 묵은 종자에 저선량 γ선을 $0.5~30.0Gy$까지 조사하여 온실과 포장에서 재배하여 그 생육상황을 조사한 결과는 다음과 같다. 배추 묵은 종자의 발아율과 유묘초장은 저선량 조사에 의해 향상되었으나 그 효과는 저장기간에 따라 달랐다. 저장기간이 5년차, 4년차, 3년차인 종자에게는 각각 4.0Gy, 1.0Gy, 0.5Gy 조사에서 발아율과 유묘초장 증가효과가 인정되었고 1년차와 2년차 종자에서 발아율 촉진효과는 없었으나 유묘초장은 증가하였다. 포장재배한 배추의 초장, 생체중, 직경으로 본 수량은 모든 저장종자의 4.0Gy와 8.0Gy 조사구에서 증가효과가 있었고 1년차와 2년차 종자에서는 20.0Gy와 30.0Gy에서도 수량증가 효과가 있었다. To observe the stimulating effects of low-dose ${\gamma}-radiation$ on the Chinese cabbage, 1~5 years old seeds were cultivated in the green house and the experimental field after irradiation of $0.5Gy~30.0Gy$ and the growth characters of them were investigated. The germination rates and the seedling heights of old seeds increased positively in the green house, but different from each other depending on their period of storage. Those of 3-, 4-, and 5-year old seeds increased remarkably at the 4.0Gy-, 1.0Gy-, and 0.5Gy-irradiation group respectively. However, in the case of 1-year and 2-year old seeds, there배추 묵은 종자의 발아율과 유묘초장은 저선량 조사에 의해 향상되었으나 그 효과는 저장기간에 따라 달랐다 저장기간이 5년차, 4년차, 3년차인 종자에서는 가각 4.0 Gy, 1.0 Gy, 0.5 Gy 조사에서 발야율과 유묘초장 증가효과가 인정되었고, 1년차와 2년차 종자에서는 발아율 촉진 효과는 없었으나 유묘초장은 증가하였다 포장재배한 배추의 초장, 생체중, 직경으로 본 수량은 보든 저장종자의 4.0 Gy와 8.0 Gy 조사구에서 증가효과가 있었고, 1년차와 2년차 종자에서는 20.0 Gy와 30.0 Gy에서도 수량 증가 효과가 있었다. | 저선량 감마선을 조사하였을 때 묵은 배추종자의 발아 및 생육에 미치는 영향5
7Castella카스텔라빵 및 베이킹 제품 (Baked Products)<NA><NA><NA><NA><NA><NA>감마선 조사 꿀의 미생물학적·이화학적·독성학적 및 가공학적 평가연구이은영충남대학교 대학원http://m.riss.kr/search/detail/DetailView.do - p_mat_type=be54d9b8bc7cdb09&control_no=685eb01164b8fde9ffe0bdc3ef48d419#redirect<NA><NA><NA>2007<NA><NA>6969<NA>Honey is occasionally contaminated with harmful microorganisms such as Schizosaccharomyces and Clostridium, which are classified as pathogens that cause fetal damage to infants and children. The objective of this study was to estimate the effect of gamma irradiation for inactivating the pathogens inoculated into four honeys, such as commercial acacia-, multiflower-, chestnut-, and mandarin orange honeys available in the Korea market, and to compare their microbiological, physicochemical, toxicological and processing properties between irradiated and nonirradiated honeys. 1. Microbial safety of commercial honey The effect of irradiation on microbial reduction in four honeys were presented in Table 2. Their yeasts, molds and coliform were not detected at the initial stage (0 kGy). Total aerobic bacterial and Clostridium spp. populations of acacia honey and Clostridium spp. of chestnut honey were not also observed at the initial stage. In case of multiflower honey, 3 kGy of irradiation reduced the population of감마선 조사량에 따른 아카시아꿀,잡화꿀,밤꿀 및 밀감꿀의 접종 미생물 분포도4
15Fresh ginseng인삼향신료 및 조미료류 (Spices and Herbs)<NA><NA><NA><NA><NA><NA>Luminescence properties and compositions of contaminating inorganic minerals separated from gamma-irradiated fresh and white ginsengs from different areasAhn Jae-Jun,Akram Kashif,Jeong Mi-Seon,Kwak Ji-Young,Park Eun-Joo,Kwon Joong-HoJournal of Ginseng Researchhttp://koreascience.or.kr/journal/view.jsp - kj=GROSBR&py=2013&vnc=v37n4&sp=4834.0530.00247SCIE201337448349010.5142/jgr.2013.37.483Gamma-irradiation (0-7 kGy) of ginseng is permitted in Korea for the purpose of microbial decontamination; with strict labeling, traceability and monitoring requirements. An identification study was conducted to determine the photostimulated-luminescence (PSL) and thermoluminescence (TL) properties of gamma-irradiated fresh and white ginsengs cultivated in different areas. Dose- dependent PSL-based screening was possible for white ginseng samples; however, inappropriate results from non-irradiated fresh ginseng samples were obtained, showing intermediate (700 to 5,000) or positive ( 5,000, irradiated) PSL counts due to the abundance of minerals on the surfaces of the samples. TL analysis of separated minerals from all non-irradiated samples gave TL glow curves of low intensity with a maximum peak after . However, well-defined irradiation-specific (high intensity with a maximum peak at about ) glow curves were observed for all the irradiated samples, regardless of their type and origins. TL ratios (first glow한국에서 미생물 오염제거를 위하여 인삼에 감마선 조사를 0-7kGy 수준으로 조사함. 또한 본 논문에서는 다양한 영역에서 재배 된 식품에 대해 감마선 조사 시 photostimulated-luminescence (PSL)와 thermoluminescence (TL) 특성을 결정하기 위해 수행되었음. SEM-EDX (주사 전자 현미경 - 에너지 분산 X 선) 및 XRD (X 선 회절) 분광 분석 결과 그 장석과 석영 미네랄은 전형적인 방사선 특유의 발광 특성의 주원인이었음.4