Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment
Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and ref...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Oh, Seonwoo [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Rechteinformationen: |
Nutzungsrecht: © 2015 Institute of Food Science and Technology |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: International journal of food science & technology - Oxford : Blackwell, 1987, 50(2015), 5, Seite 1244-1254 |
|---|---|
| Übergeordnetes Werk: |
volume:50 ; year:2015 ; number:5 ; pages:1244-1254 |
| Links: |
|---|
| DOI / URN: |
10.1111/ijfs.12742 |
|---|
| Katalog-ID: |
OLC1965113702 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1965113702 | ||
| 003 | DE-627 | ||
| 005 | 20230714163357.0 | ||
| 007 | tu | ||
| 008 | 160206s2015 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1111/ijfs.12742 |2 doi | |
| 028 | 5 | 2 | |a PQ20160617 |
| 035 | |a (DE-627)OLC1965113702 | ||
| 035 | |a (DE-599)GBVOLC1965113702 | ||
| 035 | |a (PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90 | ||
| 035 | |a (KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 630 |a 640 |a 610 |a 660 |q DNB |
| 100 | 1 | |a Oh, Seonwoo |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. | ||
| 540 | |a Nutzungsrecht: © 2015 Institute of Food Science and Technology | ||
| 650 | 4 | |a principal component analysis | |
| 650 | 4 | |a rice | |
| 650 | 4 | |a safety | |
| 650 | 4 | |a Nutrition | |
| 650 | 4 | |a statistics | |
| 650 | 4 | |a Food safety | |
| 650 | 4 | |a Rice | |
| 650 | 4 | |a Discriminant analysis | |
| 650 | 4 | |a Multivariate analysis | |
| 650 | 4 | |a Food science | |
| 650 | 4 | |a Genetically altered foods | |
| 700 | 1 | |a Park, Soo‐Yun |4 oth | |
| 700 | 1 | |a Yeo, Yunsoo |4 oth | |
| 700 | 1 | |a Park, Soon Ki |4 oth | |
| 700 | 1 | |a Kim, Hee‐Yun |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t International journal of food science & technology |d Oxford : Blackwell, 1987 |g 50(2015), 5, Seite 1244-1254 |w (DE-627)130679712 |w (DE-600)883561-5 |w (DE-576)016221885 |x 0950-5423 |7 nnns |
| 773 | 1 | 8 | |g volume:50 |g year:2015 |g number:5 |g pages:1244-1254 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1111/ijfs.12742 |3 Volltext |
| 856 | 4 | 2 | |u http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract |
| 856 | 4 | 2 | |u http://search.proquest.com/docview/1673053109 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-CHE | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a SSG-OLC-DE-84 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_4219 | ||
| 951 | |a AR | ||
| 952 | |d 50 |j 2015 |e 5 |h 1244-1254 | ||
| author_variant |
s o so |
|---|---|
| matchkey_str |
article:09505423:2015----::oprtvaayiogntclyoiidrwrcwtcnetoarcvre |
| hierarchy_sort_str |
2015 |
| publishDate |
2015 |
| allfields |
10.1111/ijfs.12742 doi PQ20160617 (DE-627)OLC1965113702 (DE-599)GBVOLC1965113702 (PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90 (KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew DE-627 ger DE-627 rakwb eng 630 640 610 660 DNB Oh, Seonwoo verfasserin aut Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. Nutzungsrecht: © 2015 Institute of Food Science and Technology principal component analysis rice safety Nutrition statistics Food safety Rice Discriminant analysis Multivariate analysis Food science Genetically altered foods Park, Soo‐Yun oth Yeo, Yunsoo oth Park, Soon Ki oth Kim, Hee‐Yun oth Enthalten in International journal of food science & technology Oxford : Blackwell, 1987 50(2015), 5, Seite 1244-1254 (DE-627)130679712 (DE-600)883561-5 (DE-576)016221885 0950-5423 nnns volume:50 year:2015 number:5 pages:1244-1254 http://dx.doi.org/10.1111/ijfs.12742 Volltext http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract http://search.proquest.com/docview/1673053109 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4219 AR 50 2015 5 1244-1254 |
| spelling |
10.1111/ijfs.12742 doi PQ20160617 (DE-627)OLC1965113702 (DE-599)GBVOLC1965113702 (PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90 (KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew DE-627 ger DE-627 rakwb eng 630 640 610 660 DNB Oh, Seonwoo verfasserin aut Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. Nutzungsrecht: © 2015 Institute of Food Science and Technology principal component analysis rice safety Nutrition statistics Food safety Rice Discriminant analysis Multivariate analysis Food science Genetically altered foods Park, Soo‐Yun oth Yeo, Yunsoo oth Park, Soon Ki oth Kim, Hee‐Yun oth Enthalten in International journal of food science & technology Oxford : Blackwell, 1987 50(2015), 5, Seite 1244-1254 (DE-627)130679712 (DE-600)883561-5 (DE-576)016221885 0950-5423 nnns volume:50 year:2015 number:5 pages:1244-1254 http://dx.doi.org/10.1111/ijfs.12742 Volltext http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract http://search.proquest.com/docview/1673053109 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4219 AR 50 2015 5 1244-1254 |
| allfields_unstemmed |
10.1111/ijfs.12742 doi PQ20160617 (DE-627)OLC1965113702 (DE-599)GBVOLC1965113702 (PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90 (KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew DE-627 ger DE-627 rakwb eng 630 640 610 660 DNB Oh, Seonwoo verfasserin aut Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. Nutzungsrecht: © 2015 Institute of Food Science and Technology principal component analysis rice safety Nutrition statistics Food safety Rice Discriminant analysis Multivariate analysis Food science Genetically altered foods Park, Soo‐Yun oth Yeo, Yunsoo oth Park, Soon Ki oth Kim, Hee‐Yun oth Enthalten in International journal of food science & technology Oxford : Blackwell, 1987 50(2015), 5, Seite 1244-1254 (DE-627)130679712 (DE-600)883561-5 (DE-576)016221885 0950-5423 nnns volume:50 year:2015 number:5 pages:1244-1254 http://dx.doi.org/10.1111/ijfs.12742 Volltext http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract http://search.proquest.com/docview/1673053109 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4219 AR 50 2015 5 1244-1254 |
| allfieldsGer |
10.1111/ijfs.12742 doi PQ20160617 (DE-627)OLC1965113702 (DE-599)GBVOLC1965113702 (PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90 (KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew DE-627 ger DE-627 rakwb eng 630 640 610 660 DNB Oh, Seonwoo verfasserin aut Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. Nutzungsrecht: © 2015 Institute of Food Science and Technology principal component analysis rice safety Nutrition statistics Food safety Rice Discriminant analysis Multivariate analysis Food science Genetically altered foods Park, Soo‐Yun oth Yeo, Yunsoo oth Park, Soon Ki oth Kim, Hee‐Yun oth Enthalten in International journal of food science & technology Oxford : Blackwell, 1987 50(2015), 5, Seite 1244-1254 (DE-627)130679712 (DE-600)883561-5 (DE-576)016221885 0950-5423 nnns volume:50 year:2015 number:5 pages:1244-1254 http://dx.doi.org/10.1111/ijfs.12742 Volltext http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract http://search.proquest.com/docview/1673053109 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4219 AR 50 2015 5 1244-1254 |
| allfieldsSound |
10.1111/ijfs.12742 doi PQ20160617 (DE-627)OLC1965113702 (DE-599)GBVOLC1965113702 (PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90 (KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew DE-627 ger DE-627 rakwb eng 630 640 610 660 DNB Oh, Seonwoo verfasserin aut Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. Nutzungsrecht: © 2015 Institute of Food Science and Technology principal component analysis rice safety Nutrition statistics Food safety Rice Discriminant analysis Multivariate analysis Food science Genetically altered foods Park, Soo‐Yun oth Yeo, Yunsoo oth Park, Soon Ki oth Kim, Hee‐Yun oth Enthalten in International journal of food science & technology Oxford : Blackwell, 1987 50(2015), 5, Seite 1244-1254 (DE-627)130679712 (DE-600)883561-5 (DE-576)016221885 0950-5423 nnns volume:50 year:2015 number:5 pages:1244-1254 http://dx.doi.org/10.1111/ijfs.12742 Volltext http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract http://search.proquest.com/docview/1673053109 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4219 AR 50 2015 5 1244-1254 |
| language |
English |
| source |
Enthalten in International journal of food science & technology 50(2015), 5, Seite 1244-1254 volume:50 year:2015 number:5 pages:1244-1254 |
| sourceStr |
Enthalten in International journal of food science & technology 50(2015), 5, Seite 1244-1254 volume:50 year:2015 number:5 pages:1244-1254 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
principal component analysis rice safety Nutrition statistics Food safety Rice Discriminant analysis Multivariate analysis Food science Genetically altered foods |
| dewey-raw |
630 |
| isfreeaccess_bool |
false |
| container_title |
International journal of food science & technology |
| authorswithroles_txt_mv |
Oh, Seonwoo @@aut@@ Park, Soo‐Yun @@oth@@ Yeo, Yunsoo @@oth@@ Park, Soon Ki @@oth@@ Kim, Hee‐Yun @@oth@@ |
| publishDateDaySort_date |
2015-01-01T00:00:00Z |
| hierarchy_top_id |
130679712 |
| dewey-sort |
3630 |
| id |
OLC1965113702 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1965113702</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714163357.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/ijfs.12742</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1965113702</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1965113702</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="a">640</subfield><subfield code="a">610</subfield><subfield code="a">660</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Oh, Seonwoo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop..</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2015 Institute of Food Science and Technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">principal component analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rice</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">safety</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nutrition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Food safety</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rice</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Discriminant analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multivariate analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Food science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Genetically altered foods</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Park, Soo‐Yun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yeo, Yunsoo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Park, Soon Ki</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kim, Hee‐Yun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of food science & technology</subfield><subfield code="d">Oxford : Blackwell, 1987</subfield><subfield code="g">50(2015), 5, Seite 1244-1254</subfield><subfield code="w">(DE-627)130679712</subfield><subfield code="w">(DE-600)883561-5</subfield><subfield code="w">(DE-576)016221885</subfield><subfield code="x">0950-5423</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:50</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:5</subfield><subfield code="g">pages:1244-1254</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1111/ijfs.12742</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1673053109</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-DE-84</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4219</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">50</subfield><subfield code="j">2015</subfield><subfield code="e">5</subfield><subfield code="h">1244-1254</subfield></datafield></record></collection>
|
| author |
Oh, Seonwoo |
| spellingShingle |
Oh, Seonwoo ddc 630 misc principal component analysis misc rice misc safety misc Nutrition misc statistics misc Food safety misc Rice misc Discriminant analysis misc Multivariate analysis misc Food science misc Genetically altered foods Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment |
| authorStr |
Oh, Seonwoo |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)130679712 |
| format |
Article |
| dewey-ones |
630 - Agriculture & related technologies 640 - Home & family management 610 - Medicine & health 660 - Chemical engineering |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0950-5423 |
| topic_title |
630 640 610 660 DNB Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment principal component analysis rice safety Nutrition statistics Food safety Rice Discriminant analysis Multivariate analysis Food science Genetically altered foods |
| topic |
ddc 630 misc principal component analysis misc rice misc safety misc Nutrition misc statistics misc Food safety misc Rice misc Discriminant analysis misc Multivariate analysis misc Food science misc Genetically altered foods |
| topic_unstemmed |
ddc 630 misc principal component analysis misc rice misc safety misc Nutrition misc statistics misc Food safety misc Rice misc Discriminant analysis misc Multivariate analysis misc Food science misc Genetically altered foods |
| topic_browse |
ddc 630 misc principal component analysis misc rice misc safety misc Nutrition misc statistics misc Food safety misc Rice misc Discriminant analysis misc Multivariate analysis misc Food science misc Genetically altered foods |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
s p sp y y yy s k p sk skp h k hk |
| hierarchy_parent_title |
International journal of food science & technology |
| hierarchy_parent_id |
130679712 |
| dewey-tens |
630 - Agriculture 640 - Home & family management 610 - Medicine & health 660 - Chemical engineering |
| hierarchy_top_title |
International journal of food science & technology |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)130679712 (DE-600)883561-5 (DE-576)016221885 |
| title |
Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment |
| ctrlnum |
(DE-627)OLC1965113702 (DE-599)GBVOLC1965113702 (PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90 (KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew |
| title_full |
Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment |
| author_sort |
Oh, Seonwoo |
| journal |
International journal of food science & technology |
| journalStr |
International journal of food science & technology |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
txt |
| container_start_page |
1244 |
| author_browse |
Oh, Seonwoo |
| container_volume |
50 |
| class |
630 640 610 660 DNB |
| format_se |
Aufsätze |
| author-letter |
Oh, Seonwoo |
| doi_str_mv |
10.1111/ijfs.12742 |
| dewey-full |
630 640 610 660 |
| title_sort |
comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment |
| title_auth |
Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment |
| abstract |
Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. |
| abstractGer |
Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. |
| abstract_unstemmed |
Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop.. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4219 |
| container_issue |
5 |
| title_short |
Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment |
| url |
http://dx.doi.org/10.1111/ijfs.12742 http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract http://search.proquest.com/docview/1673053109 |
| remote_bool |
false |
| author2 |
Park, Soo‐Yun Yeo, Yunsoo Park, Soon Ki Kim, Hee‐Yun |
| author2Str |
Park, Soo‐Yun Yeo, Yunsoo Park, Soon Ki Kim, Hee‐Yun |
| ppnlink |
130679712 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| doi_str |
10.1111/ijfs.12742 |
| up_date |
2024-07-03T16:33:08.042Z |
| _version_ |
1803576292717625344 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1965113702</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714163357.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/ijfs.12742</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1965113702</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1965113702</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c3586-5dede4ddc4bd5ae90ce46fd5ad55a551adba0c38e928f8a50dd37c88993257e90</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0040074220150000050000501244comparativeanalysisofgeneticallymodifiedbrownricew</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="a">640</subfield><subfield code="a">610</subfield><subfield code="a">660</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Oh, Seonwoo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Comparative analysis of genetically modified brown rice with conventional rice varieties for the safety assessment</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Compositional analysis of genetically modified ( GM ) rice (Os CK 1), non‐ GM comparator and reference rice as commercial rice was conducted for the safety assessment. The tolerance intervals (TI) of commercial rice were also set to illustrate compositional variability. GM rice, non‐ GM rice and reference rice were compared using principal component analysis ( PCA ) and partial least squares‐discriminant analysis ( PLS ‐ DA ) to assess the impact of genetic modification vs. environmental influence on the rice component. Seventeen components in forty‐six analysed components were significantly different between GM rice and non‐ GM rice. But, the mean ranges of the seventeen components were all within those of the reference TIs. These results demonstrate that the nutrition components of GM rice ( O s CK 1) fell within the range of natural variability and were biologically equivalent to non‐ GM rice. In addition, multivariate analysis by PCA and PLS ‐ DA revealed that environmental factors such as growing locations were important due to the variability of the rice metabolite profiles. These comparisons lead to the conclusion that disease‐resistant transgenic rice ( O s CK 1) is compositionally equivalent to and as safe and nutritious as conventional rice varieties grown commercially. Multivariate analysis of PCA and PLS ‐ DA to assess the effect of natural factors. PCA and PLS ‐ DA , analysis clarified the potential environmental variation in a transgenic crop..</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2015 Institute of Food Science and Technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">principal component analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rice</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">safety</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nutrition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Food safety</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rice</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Discriminant analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multivariate analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Food science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Genetically altered foods</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Park, Soo‐Yun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yeo, Yunsoo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Park, Soon Ki</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kim, Hee‐Yun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of food science & technology</subfield><subfield code="d">Oxford : Blackwell, 1987</subfield><subfield code="g">50(2015), 5, Seite 1244-1254</subfield><subfield code="w">(DE-627)130679712</subfield><subfield code="w">(DE-600)883561-5</subfield><subfield code="w">(DE-576)016221885</subfield><subfield code="x">0950-5423</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:50</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:5</subfield><subfield code="g">pages:1244-1254</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1111/ijfs.12742</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://onlinelibrary.wiley.com/doi/10.1111/ijfs.12742/abstract</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1673053109</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-DE-84</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4219</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">50</subfield><subfield code="j">2015</subfield><subfield code="e">5</subfield><subfield code="h">1244-1254</subfield></datafield></record></collection>
|
| score |
7.3993597 |