Performance assessment of digital PCR for the quantification of GM-maize and GM-soya events

Cottenet, Geoffrey; Blancpain, Carine; Chuah, Poh Fong

doi:10.1007/s00216-019-01692-7

Cited by 27 publications

(12 citation statements)

References 19 publications

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“…S1∼S4 ). Considering good precision for a quantitative detection, RSD≤25% among triplicates was set to be a key criterion ( Cottenet et al, 2019 ). Therefore, LOQ copy of mung bean and chestnut was defined as 6 copies/μL both in ddPCR and cdPCR after the numerical rounding of mean values.…”

Section: Resultsmentioning

confidence: 99%

“…Recently dPCR has been applied on different food detection areas such as transgenic component detection ( Cottenet et al, 2019 ; Wan et al, 2016 ), meat adulteration identification ( Floren et al, 2015 ) and plant-derived ingredient quantification ( Scollo et al, 2016 ). Some of these dPCR methods have been introduced into national and industrial standards, such as “SN/T 5334.1–2020 Protocol of digital PCR for quantitatively detecting genetically modified plants and their derived products.” and “GB/T 33526–2017 Genetically modified organism detection method by digital PCR”.…”

Section: Introductionmentioning

confidence: 99%

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A quantitative detection of mung bean in chestnut paste using duplex digital PCR

Liang

Dong-wei

Dong

et al. 2022

Current Research in Food Science

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Highly manufacturing process of chestnut paste leaves a considerable space for Economically Motivated Adulteration (EMA) with cheaper ingredients such as mung bean. In this paper a novel quantitative detection of mung bean in chestnut paste using duplex digital PCR was reported. Two sets of primers and probes were designed according to mung bean and chestnut specific genomic genes suitable for duplex droplet digital PCR (ddPCR) and duplex chip digital PCR (cdPCR) to set up a mass ratio quantitative detection method for mung bean, a common alternative plant-derived ingredient in chestnut paste products. The manufacturing process of chestnut paste products was considered to establish the linear relationship formula between mass ratio and gene copy number (CN) ratio of the two ingredients. The limits of quantification for gene CN concentrations (LOQ copy ) of mung bean and chestnut were both 6 copies/μL, at the same time a mass ratio of mung bean in chestnut paste range from 5% to 80% was able to be quantified accurately to provide technical support for the identification of fraudulent substitution or adventitious contamination.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A quantitative detection of mung bean in chestnut paste using duplex digital PCR

Liang

Dong-wei

Dong

et al. 2022

Current Research in Food Science

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“…In the analyzed feed samples, the Ct values followed the positive control values whose GM amount was 50 copies. In different publications, there are theoretically GM quantification calculations (Branquinho et al, 2010;Cottenet, Blancpain, & Chuah, 2019). These calculations were made by considering factors such as target sequence fragment size, sequence, and method type (Cankar, Stebih, Dreo, Zel, & Gruden, 2006).…”

Section: Resultsmentioning

confidence: 99%

Searching of the Genetically Modified Organisms and Their Products’ Status and Evaluation of Food Safety and Regulations in Turkey in terms of the Forensic Sciences

Bitir

Erkan

Yükseloğlu

2020

Commagene Journal of Biology

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Increased Genetically Modified (GM) plant production and the widespread trade and use of Genetically Modified Organisms (GMOs) in the food and animal feed markets are questioned about food safety by consumers. GMOs have been the subject of various cases in the areas of public health, environment, and finance. Turkey has also regulations and serious penalties about GMOs and its product-usage so it is also questioned by forensic sciences. The purpose of this study is to investigate the current situation by making GMO analyses in risky product groups. Products containing corn and soy content, known as risky product groups, were obtained from markets in Istanbul. GMO screening analysis of 35 products selected between July-September 2018 was performed by Real-Time PCR method. Positive results were detected in 2 animal feed samples. In these samples, the amount of GMO (35S region) was determined as below 0.1%. According to the legal regulations, GMO below 0.9% rates may result from contamination that cannot be prevented.

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“…It is an absolute quantification strategy because there is not the need to have a standard curve as reference for quantification. In the past several years, dPCR has achieved progress in in agri-food sector, especially for GMO (Genetically Modified Organism) testing [ 21 , 22 ] and for pathogen diagnostics and, at more limited extent, to the detection of animal- and plant-derived ingredients in food adulteration control [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

A Chip Digital PCR Assay for Quantification of Common Wheat Contamination in Pasta Production Chain

Morcia¹,

Bergami

Scaramagli

et al. 2020

Foods

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Pasta, the Italian product par excellence, is made of pure durum wheat. The use of Triticum durum derived semolina is in fact mandatory for Italian pasta, in which Triticum aestivum species is considered a contamination that must not exceed the 3% maximum level. Over the last 50 years, various electrophoretic, chemical, and immuno-chemical methods have been proposed aimed to track the possible presence of common wheat in semolina and pasta. More recently, a new generation of methods, based on DNA (DeoxyriboNucleic Acid ) analysis, has been developed to this aim. Species traceability can be now enforced by a new technology, namely digital Polymerase Chain Reaction (dPCR) which quantify the number of target sequence present in a sample, using limiting dilutions, PCR, and Poisson statistics. In our work we have developed a duplex chip digital PCR (cdPCR) assay able to quantify common wheat presence along pasta production chain, from raw materials to final products. The assay was verified on reference samples at known level of common wheat contamination and applied to commercial pastas sampled in the Italian market.

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Performance assessment of digital PCR for the quantification of GM-maize and GM-soya events

Cited by 27 publications

References 19 publications

A quantitative detection of mung bean in chestnut paste using duplex digital PCR

A quantitative detection of mung bean in chestnut paste using duplex digital PCR

Searching of the Genetically Modified Organisms and Their Products’ Status and Evaluation of Food Safety and Regulations in Turkey in terms of the Forensic Sciences

A Chip Digital PCR Assay for Quantification of Common Wheat Contamination in Pasta Production Chain

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