Quantitative analysis of genetically modified organisms (GMO) in processed food by PCR-based methods

Wurz, A.; Bluth, A.; Zeltz, P.; Pfeifer, Celine; Willmund, R.

doi:10.1016/s0956-7135(99)00080-8

Cited by 76 publications

(46 citation statements)

References 2 publications

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“…These samples resolved bands of approximately 199 and 201 bp for zein and lectin genes, respectively. In general, it is difficult to obtain significant amounts of amplifiable DNA as heat treatment, enzymatic activities, or acidic pH lead to fragmentation and other modifications of DNA (Hupfer et al, 1998;Wurz et al, 1999). In this study, ground meat samples yielded the most amplified samples for lectin and zein genes (96.3% of samples), followed by sausage samples (92.1%) and press ham samples (87.8%).…”

Section: Not Testedmentioning

confidence: 68%

Validation of Korean Meat Products and Processed Cheese for the Detection of GMO using p35S and tNOS Primers

Shin¹,

Heo²,

Moon³

et al. 2011

Korean Journal for Food Science of Animal Resources

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In this study, 543 samples of press hams, sausages, processed ground meat and processed cheese acquired from retail markets in Seoul and Gyeonggi province in Korea from 2005 to 2010 were monitored using a one-step multiplex polymerase chain reaction (PCR) method that involves the amplification of specific soya or maize endogenous genes and the amplification of 35S promoter (p35S) and nopaline synthase terminator (tNOS) for GMO detection. Among the 543 samples, 477 samples were amplified for maize and/or soybean endogenous genes. Although one sausage sample collected in 2008 showed amplification of tNOS, the result was assumed to be false positive based on the results from further tests of other sausage samples of the same brand. Our results demonstrate the absence of GM soya and/or maze of livestock products in the Korean market during 2005-2010. In addition, the one-step multiplex PCR using previously constructed primer sets appears to be useful as a screening method for the detection of GMOs in processed livestock products. However, more specific methods should be established and employed to detect the event-specific GM gene for positive reaction samples by screening tests in processed livestock products.

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Section: Not Testedmentioning

confidence: 68%

Validation of Korean Meat Products and Processed Cheese for the Detection of GMO using p35S and tNOS Primers

Shin¹,

Heo²,

Moon³

et al. 2011

Korean Journal for Food Science of Animal Resources

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“…Methods for the identification of GM crops can be roughly classified into two categories, 1) evaluation based on DNA information such as polymerase chain reaction (PCR) (Wurz et al 1999, Matsuoka et al 2001, Matsuoka et al 2002, and 2) protein-based methods such as enzymelinked immunosorbent assay (ELISA) (Lipp et al 2000, Fagan et al 2001. For the detection of GM crops, the major advantage of these methods is their high degree of accuracy.…”

Section: Introductionmentioning

confidence: 99%

Estimation for Different Genotypes of Plants based on DNA Analysis using Near-infrared (NIR) and Fourier-transform Infrared (FT-IR) Spectroscopy

et al. 2006

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Near-infrared (NIR) spectroscopy and Fourier-transform infrared (FT-IR) spectroscopy were applied for the discrimination of genomic DNAs from different genotypes of plants. From the results of NIR and FT-IR analyses for the detection of genetically modified (GM) maize, GM and non-GM maize genotypes were distinguished based on the absorbance wavelength or wave number. Statistical analysis of the data obtained suggested that FT-IR gave clearer and more reproducible results than NIR for the discrimination of a GM maize line from a non-GM one. Based on these findings, FT-IR was used to discriminate much smaller variation such as allelic differences at one locus in isogenic lines of rice, and was also applied to the characterization of higher levels of genomic variation using typical indica and japonica rice varieties. In the case of isogenic lines, no obvious difference was observed. On the other hand, indica and japonica varieties could be clearly distinguished, and two varieties belonging to the indica varietal group could also be separated. It was concluded that this method may enable to discriminate among different varieties, and could become an easy and effective method of plant genotyping.

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“…Certaines sont basées sur l'analyse immunochimique (ELISA) et nécessitent l'utilisation d'anticorps monoclonaux spécifiques de la protéine codée par le transgène [8,9]. D'autres reposent sur la PCR quantitative compétitive [10] ou la PCR quantitative en temps réel [11][12][13].…”

Section: Introductionunclassified

La PCR quantitative en temps réel : application à la quantification des OGM

Alary

Gautier

Joudrier

2002

OCL

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Résumé : Suite à l'obligation d'étiquetage, au seuil de 1 %, des aliments contenant des OGM autorisés, il est nécessaire de disposer de méthodes fiables de quantification. Pour répondre à cette obligation, la technique de PCR quantitative en temps réel semble actuellement la mieux adaptée. Son principe, ses avantages et sa mise en oeuvre pour la détermination de la teneur en OGM de farines de soja sont présentés. Les PCR simplex et duplex sont comparées. Summary :Because of the GMO food labelling requirement at the threshold of 1%, the availability of reliable quantitative analytical methods is necessary. The real-time quantitative PCR seems to be the most accurate method for GMO quantification. Its principle, advantages and application to the determination of GMO content of soybean flour samples are presented. Simplex and duplex PCRs are compared. Mots-clés :OGM, soja, PCR quantitative en temps réel, ADN, étiquetage.

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Quantitative analysis of genetically modified organisms (GMO) in processed food by PCR-based methods

Cited by 76 publications

References 2 publications

Validation of Korean Meat Products and Processed Cheese for the Detection of GMO using p35S and tNOS Primers

Validation of Korean Meat Products and Processed Cheese for the Detection of GMO using p35S and tNOS Primers

Estimation for Different Genotypes of Plants based on DNA Analysis using Near-infrared (NIR) and Fourier-transform Infrared (FT-IR) Spectroscopy

La PCR quantitative en temps réel : application à la quantification des OGM

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