2020
DOI: 10.1088/0026-1394/57/1a/08004
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Final report of CCQM-K86.c. Relative quantification of genomic DNA fragments extracted from a biological tissue

Abstract: Key comparison CCQM-K86.c was performed to demonstrate the capacity of National Metrology Institutes (NMIs) and Designated Institutes (DIs) in the determination of the relative quantity of two specific genomic DNA fragments present in a canola powder. The study provides direct support for the following measurement claim: "Quantification of the ratio of the number of copies of specified intact sequence fragments of a length up to 150 nucleotides following extraction from an unprocessed, high fat/oil ground seed… Show more

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Cited by 6 publications
(3 citation statements)
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“…Moreover, the parental origin of the MON810 trait could be verified by dPCR. The equivalence of measurement results obtained by dPCR and qPCR using an appropriate plasmidic calibrant has also been demonstrated by other studies ( Burns et al, 2006 ; Caprioara-Buda et al, 2012 ) including interlaboratory studies on different plant matrices ( Corbisier et al, 2012 ; Mester et al, 2020 ). The applicability of dPCR for the assessment of detection limits in GMO analysis has been reviewed ( Burns, Burrell, & Foy, 2010 ) and dPCR methods were successfully applied on food and feed samples in simplex ( Morisset, Štebih, Milavec, Gruden, & Žel, 2013 ), duplex ( Félix-Urquídez et al, 2016 ) and multiplex formats ( Dobnik, Spilsberg, Bogožalec, Holst-Jensen, & Žel, 2015 ; Dobnik, Štebih, Blejec, Morisset, & Žel, 2016 ).…”
Section: Introductionsupporting
confidence: 62%
“…Moreover, the parental origin of the MON810 trait could be verified by dPCR. The equivalence of measurement results obtained by dPCR and qPCR using an appropriate plasmidic calibrant has also been demonstrated by other studies ( Burns et al, 2006 ; Caprioara-Buda et al, 2012 ) including interlaboratory studies on different plant matrices ( Corbisier et al, 2012 ; Mester et al, 2020 ). The applicability of dPCR for the assessment of detection limits in GMO analysis has been reviewed ( Burns, Burrell, & Foy, 2010 ) and dPCR methods were successfully applied on food and feed samples in simplex ( Morisset, Štebih, Milavec, Gruden, & Žel, 2013 ), duplex ( Félix-Urquídez et al, 2016 ) and multiplex formats ( Dobnik, Spilsberg, Bogožalec, Holst-Jensen, & Žel, 2015 ; Dobnik, Štebih, Blejec, Morisset, & Žel, 2016 ).…”
Section: Introductionsupporting
confidence: 62%
“…Figure 7a) shows results and uncertainties for one of two materials examined in key comparison CCQM-K86c, a comparison on determination of a specified gene target ratio in Brassica napus (canola) [22]; for the data, see table S3 in supplementary information. The CCQM-K86 range of studies [22][23][24] supports the quantification of proportion of genetically modified (GMO) material present in otherwise wild-type materials. For this material, the nucleic acid target was a fragment introduced in modification event RT73, conferring glyphosate resistance.…”
Section: Further Examplesmentioning
confidence: 99%
“…In the first two studies, matrices were rich in polymeric carbohydrate (amylose and amylopectin) and poor in fat: maize (Zea maize L.) seed powder in the CCQM-K86 study [84] and rice (Oryza sativa L.) seed powder in the CCQM-K86.b study [85]. In the third study, CCQM-K86.c, high-fat/oil matrix was selected, represented by rapeseed/canola (Brassica napus L.) seed powder [86]. Currently, a study on measuring DNA in high-protein matrix (meat) is in progress.…”
Section: Metrology For Food Safety and Authenticationmentioning
confidence: 99%