Inter-laboratory validation by event-specific qPCR methods for the detection of genetically modified insect and herbicide-tolerant maize DBN9501
DBN9501 is a new maize transgenic event characterised by being resistance to insects and herbicides. To meet genetically modified (GM)-labeling requirements and monitor the unintended release of genetically modified organisms (GMOs), developing a creditable and applicable method for identifying and...
Gespeichert in:
| Veröffentlicht in: | Journal für Verbraucherschutz und Lebensmittelsicherheit 2023-12, Vol.18 (4), p.451-460 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 460 |
|---|---|
| container_issue | 4 |
| container_start_page | 451 |
| container_title | Journal für Verbraucherschutz und Lebensmittelsicherheit |
| container_volume | 18 |
| creator | Wang, Jing Xiao, Bing Zhang, Ruiying Guan, Haitao Yang, Yang Ding, Yijia Yuan, Ran Zhang, Xiaolei Li, Lingyan Liang, Jingang Wen, Hongtao |
| description | DBN9501 is a new maize transgenic event characterised by being resistance to insects and herbicides. To meet genetically modified (GM)-labeling requirements and monitor the unintended release of genetically modified organisms (GMOs), developing a creditable and applicable method for identifying and quantifying GM events is essential. Herein we developed an event-specific method and validated it through inter-laboratory ring trials using blind samples. The limit of detection (LOD) and limit of quantification (LOQ) of copy number ratio were confirmed at 0.05% and 0.1%, respectively. The quantitative bias ranged from -3.52 to 10.38%, and the relative standard deviation (RSD) of the method was < 25%. Furthermore, the expanded uncertainty for the blind samples S1 − S5 was 0.22%, 0.10%, 0.05%, 0.03%, and 0.02%. These results demonstrated that the event-specific quantitative PCR method could identify and quantify GM DBN9501 for further routine lab analysis. |
| doi_str_mv | 10.1007/s00003-023-01450-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2896072786</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2896072786</sourcerecordid><originalsourceid>FETCH-LOGICAL-c270t-eae77547f0f84acc584b38a32641b25b5fa2aad5a53791513f441d0af8d8b9683</originalsourceid><addsrcrecordid>eNp9kM9OGzEQh1cIJP6UF-BkibOpvbteO0ealjYSKgjB2Zq1x4nRxg62QUqeoo9cl7TqjZFGM4fvm5F-TXPB2RVnTH7OrFZHWVub94LR3UFzwoeBU6EGefhvl4IfN6c5PzMmpJLdSfNrEQomOsEYE5SYtuQNJm-h-BjIuCX4hqHQvEHjnTfk5X7-QNZYVtFm4mIiZYXEYkHzLkRHlhiweAPTtCXraKuFlviQK0EgWLLCNHrjLdISJ0wQClmD3yH5-uXnTDD-qTlyMGU8_zvPmqebb4_zH_T27vtifn1LTStZoQgopeilY071YIxQ_dgp6Nqh52MrRuGgBbACRCdnXPDO9T23DJyyapwNqjtrLvd3Nym-vGIu-jm-plBf6lbNBiZbqYZKtXvKpJhzQqc3ya8hbTVn-k_yep-8rsnr9-T1rkrdXsoVDktM_09_YP0G4vyIwQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2896072786</pqid></control><display><type>article</type><title>Inter-laboratory validation by event-specific qPCR methods for the detection of genetically modified insect and herbicide-tolerant maize DBN9501</title><source>SpringerLink Journals - AutoHoldings</source><creator>Wang, Jing ; Xiao, Bing ; Zhang, Ruiying ; Guan, Haitao ; Yang, Yang ; Ding, Yijia ; Yuan, Ran ; Zhang, Xiaolei ; Li, Lingyan ; Liang, Jingang ; Wen, Hongtao</creator><creatorcontrib>Wang, Jing ; Xiao, Bing ; Zhang, Ruiying ; Guan, Haitao ; Yang, Yang ; Ding, Yijia ; Yuan, Ran ; Zhang, Xiaolei ; Li, Lingyan ; Liang, Jingang ; Wen, Hongtao</creatorcontrib><description>DBN9501 is a new maize transgenic event characterised by being resistance to insects and herbicides. To meet genetically modified (GM)-labeling requirements and monitor the unintended release of genetically modified organisms (GMOs), developing a creditable and applicable method for identifying and quantifying GM events is essential. Herein we developed an event-specific method and validated it through inter-laboratory ring trials using blind samples. The limit of detection (LOD) and limit of quantification (LOQ) of copy number ratio were confirmed at 0.05% and 0.1%, respectively. The quantitative bias ranged from -3.52 to 10.38%, and the relative standard deviation (RSD) of the method was < 25%. Furthermore, the expanded uncertainty for the blind samples S1 − S5 was 0.22%, 0.10%, 0.05%, 0.03%, and 0.02%. These results demonstrated that the event-specific quantitative PCR method could identify and quantify GM DBN9501 for further routine lab analysis.</description><identifier>ISSN: 1661-5751</identifier><identifier>EISSN: 1661-5867</identifier><identifier>DOI: 10.1007/s00003-023-01450-z</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Agriculture ; Biomedical and Life Sciences ; Biotechnology ; Chemistry/Food Science ; Copy number ; Corn ; Food Science ; Genetic modification ; Genetically engineered organisms ; Genetically modified organisms ; Herbicide resistance ; Herbicides ; Insects ; Life Sciences ; Methods ; Plant Genetics and Genomics</subject><ispartof>Journal für Verbraucherschutz und Lebensmittelsicherheit, 2023-12, Vol.18 (4), p.451-460</ispartof><rights>Bundesamt für Verbraucherschutz und Lebensmittelsicherheit (BVL) 2023</rights><rights>Bundesamt für Verbraucherschutz und Lebensmittelsicherheit (BVL) 2023.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-eae77547f0f84acc584b38a32641b25b5fa2aad5a53791513f441d0af8d8b9683</cites><orcidid>0000-0001-7374-3073 ; 0000-0003-0444-4744</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00003-023-01450-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00003-023-01450-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Xiao, Bing</creatorcontrib><creatorcontrib>Zhang, Ruiying</creatorcontrib><creatorcontrib>Guan, Haitao</creatorcontrib><creatorcontrib>Yang, Yang</creatorcontrib><creatorcontrib>Ding, Yijia</creatorcontrib><creatorcontrib>Yuan, Ran</creatorcontrib><creatorcontrib>Zhang, Xiaolei</creatorcontrib><creatorcontrib>Li, Lingyan</creatorcontrib><creatorcontrib>Liang, Jingang</creatorcontrib><creatorcontrib>Wen, Hongtao</creatorcontrib><title>Inter-laboratory validation by event-specific qPCR methods for the detection of genetically modified insect and herbicide-tolerant maize DBN9501</title><title>Journal für Verbraucherschutz und Lebensmittelsicherheit</title><addtitle>J Consum Prot Food Saf</addtitle><description>DBN9501 is a new maize transgenic event characterised by being resistance to insects and herbicides. To meet genetically modified (GM)-labeling requirements and monitor the unintended release of genetically modified organisms (GMOs), developing a creditable and applicable method for identifying and quantifying GM events is essential. Herein we developed an event-specific method and validated it through inter-laboratory ring trials using blind samples. The limit of detection (LOD) and limit of quantification (LOQ) of copy number ratio were confirmed at 0.05% and 0.1%, respectively. The quantitative bias ranged from -3.52 to 10.38%, and the relative standard deviation (RSD) of the method was < 25%. Furthermore, the expanded uncertainty for the blind samples S1 − S5 was 0.22%, 0.10%, 0.05%, 0.03%, and 0.02%. These results demonstrated that the event-specific quantitative PCR method could identify and quantify GM DBN9501 for further routine lab analysis.</description><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Chemistry/Food Science</subject><subject>Copy number</subject><subject>Corn</subject><subject>Food Science</subject><subject>Genetic modification</subject><subject>Genetically engineered organisms</subject><subject>Genetically modified organisms</subject><subject>Herbicide resistance</subject><subject>Herbicides</subject><subject>Insects</subject><subject>Life Sciences</subject><subject>Methods</subject><subject>Plant Genetics and Genomics</subject><issn>1661-5751</issn><issn>1661-5867</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kM9OGzEQh1cIJP6UF-BkibOpvbteO0ealjYSKgjB2Zq1x4nRxg62QUqeoo9cl7TqjZFGM4fvm5F-TXPB2RVnTH7OrFZHWVub94LR3UFzwoeBU6EGefhvl4IfN6c5PzMmpJLdSfNrEQomOsEYE5SYtuQNJm-h-BjIuCX4hqHQvEHjnTfk5X7-QNZYVtFm4mIiZYXEYkHzLkRHlhiweAPTtCXraKuFlviQK0EgWLLCNHrjLdISJ0wQClmD3yH5-uXnTDD-qTlyMGU8_zvPmqebb4_zH_T27vtifn1LTStZoQgopeilY071YIxQ_dgp6Nqh52MrRuGgBbACRCdnXPDO9T23DJyyapwNqjtrLvd3Nym-vGIu-jm-plBf6lbNBiZbqYZKtXvKpJhzQqc3ya8hbTVn-k_yep-8rsnr9-T1rkrdXsoVDktM_09_YP0G4vyIwQ</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Wang, Jing</creator><creator>Xiao, Bing</creator><creator>Zhang, Ruiying</creator><creator>Guan, Haitao</creator><creator>Yang, Yang</creator><creator>Ding, Yijia</creator><creator>Yuan, Ran</creator><creator>Zhang, Xiaolei</creator><creator>Li, Lingyan</creator><creator>Liang, Jingang</creator><creator>Wen, Hongtao</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-7374-3073</orcidid><orcidid>https://orcid.org/0000-0003-0444-4744</orcidid></search><sort><creationdate>20231201</creationdate><title>Inter-laboratory validation by event-specific qPCR methods for the detection of genetically modified insect and herbicide-tolerant maize DBN9501</title><author>Wang, Jing ; Xiao, Bing ; Zhang, Ruiying ; Guan, Haitao ; Yang, Yang ; Ding, Yijia ; Yuan, Ran ; Zhang, Xiaolei ; Li, Lingyan ; Liang, Jingang ; Wen, Hongtao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-eae77547f0f84acc584b38a32641b25b5fa2aad5a53791513f441d0af8d8b9683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agriculture</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Chemistry/Food Science</topic><topic>Copy number</topic><topic>Corn</topic><topic>Food Science</topic><topic>Genetic modification</topic><topic>Genetically engineered organisms</topic><topic>Genetically modified organisms</topic><topic>Herbicide resistance</topic><topic>Herbicides</topic><topic>Insects</topic><topic>Life Sciences</topic><topic>Methods</topic><topic>Plant Genetics and Genomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Xiao, Bing</creatorcontrib><creatorcontrib>Zhang, Ruiying</creatorcontrib><creatorcontrib>Guan, Haitao</creatorcontrib><creatorcontrib>Yang, Yang</creatorcontrib><creatorcontrib>Ding, Yijia</creatorcontrib><creatorcontrib>Yuan, Ran</creatorcontrib><creatorcontrib>Zhang, Xiaolei</creatorcontrib><creatorcontrib>Li, Lingyan</creatorcontrib><creatorcontrib>Liang, Jingang</creatorcontrib><creatorcontrib>Wen, Hongtao</creatorcontrib><collection>CrossRef</collection><jtitle>Journal für Verbraucherschutz und Lebensmittelsicherheit</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jing</au><au>Xiao, Bing</au><au>Zhang, Ruiying</au><au>Guan, Haitao</au><au>Yang, Yang</au><au>Ding, Yijia</au><au>Yuan, Ran</au><au>Zhang, Xiaolei</au><au>Li, Lingyan</au><au>Liang, Jingang</au><au>Wen, Hongtao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inter-laboratory validation by event-specific qPCR methods for the detection of genetically modified insect and herbicide-tolerant maize DBN9501</atitle><jtitle>Journal für Verbraucherschutz und Lebensmittelsicherheit</jtitle><stitle>J Consum Prot Food Saf</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>18</volume><issue>4</issue><spage>451</spage><epage>460</epage><pages>451-460</pages><issn>1661-5751</issn><eissn>1661-5867</eissn><abstract>DBN9501 is a new maize transgenic event characterised by being resistance to insects and herbicides. To meet genetically modified (GM)-labeling requirements and monitor the unintended release of genetically modified organisms (GMOs), developing a creditable and applicable method for identifying and quantifying GM events is essential. Herein we developed an event-specific method and validated it through inter-laboratory ring trials using blind samples. The limit of detection (LOD) and limit of quantification (LOQ) of copy number ratio were confirmed at 0.05% and 0.1%, respectively. The quantitative bias ranged from -3.52 to 10.38%, and the relative standard deviation (RSD) of the method was < 25%. Furthermore, the expanded uncertainty for the blind samples S1 − S5 was 0.22%, 0.10%, 0.05%, 0.03%, and 0.02%. These results demonstrated that the event-specific quantitative PCR method could identify and quantify GM DBN9501 for further routine lab analysis.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s00003-023-01450-z</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-7374-3073</orcidid><orcidid>https://orcid.org/0000-0003-0444-4744</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1661-5751 |
| ispartof | Journal für Verbraucherschutz und Lebensmittelsicherheit, 2023-12, Vol.18 (4), p.451-460 |
| issn | 1661-5751 1661-5867 |
| language | eng |
| recordid | cdi_proquest_journals_2896072786 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Agriculture Biomedical and Life Sciences Biotechnology Chemistry/Food Science Copy number Corn Food Science Genetic modification Genetically engineered organisms Genetically modified organisms Herbicide resistance Herbicides Insects Life Sciences Methods Plant Genetics and Genomics |
| title | Inter-laboratory validation by event-specific qPCR methods for the detection of genetically modified insect and herbicide-tolerant maize DBN9501 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T01%3A36%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Inter-laboratory%20validation%20by%20event-specific%20qPCR%20methods%20for%20the%20detection%20of%20genetically%20modified%20insect%20and%20herbicide-tolerant%20maize%20DBN9501&rft.jtitle=Journal%20fu%CC%88r%20Verbraucherschutz%20und%20Lebensmittelsicherheit&rft.au=Wang,%20Jing&rft.date=2023-12-01&rft.volume=18&rft.issue=4&rft.spage=451&rft.epage=460&rft.pages=451-460&rft.issn=1661-5751&rft.eissn=1661-5867&rft_id=info:doi/10.1007/s00003-023-01450-z&rft_dat=%3Cproquest_cross%3E2896072786%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2896072786&rft_id=info:pmid/&rfr_iscdi=true |