Literature DB >> 11943377

Detection of genetically modified organisms in foods.

Farid E Ahmed1.   

Abstract

Legislation enacted worldwide to regulate the presence of genetically modified organisms (GMOs) in crops, foods and ingredients, necessitated the development of reliable and sensitive methods for GMO detection. In this article, protein- and DNA-based methods employing western blots, enzyme-linked immunosorbant assay, lateral flow strips, Southern blots, qualitative-, quantitative-, real-time- and limiting dilution-PCR methods, are discussed. Where information on modified gene sequences is not available, new approaches, such as near-infrared spectrometry, might tackle the problem of detection of non-approved genetically modified (GM) foods. The efficiency of screening, identification and confirmation strategies should be examined with respect to false-positive rates, disappearance of marker genes, increased use of specific regulator sequences and the increasing number of GM foods.

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Year:  2002        PMID: 11943377     DOI: 10.1016/s0167-7799(01)01920-5

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  26 in total

1.  The use of real-time reverse transcriptase PCR for the quantification of cytokine gene expression.

Authors:  L Overbergh; A Giulietti; D Valckx; R Decallonne; R Bouillon; C Mathieu
Journal:  J Biomol Tech       Date:  2003-03

2.  Estimating the copy number of transgenes in transformed rice by real-time quantitative PCR.

Authors:  Litao Yang; Jiayu Ding; Chengmei Zhang; Junwei Jia; Haibo Weng; Wenxuan Liu; Dabing Zhang
Journal:  Plant Cell Rep       Date:  2004-10-01       Impact factor: 4.570

3.  A microarray-based detection system for genetically modified (GM) food ingredients.

Authors:  Serge Leimanis; Marta Hernández; Sophie Fernández; Francine Boyer; Malcolm Burns; Shirin Bruderer; Thomas Glouden; Neil Harris; Othmar Kaeppeli; Patrick Philipp; Maria Pla; Pere Puigdomènech; Marc Vaitilingom; Yves Bertheau; José Remacle
Journal:  Plant Mol Biol       Date:  2006-05       Impact factor: 4.076

4.  Sources of uncertainty in the quantification of genetically modified oilseed rape contamination in seed lots.

Authors:  Graham S Begg; Danny W Cullen; Pietro P M Iannetta; Geoff R Squire
Journal:  Transgenic Res       Date:  2006-11-15       Impact factor: 2.788

5.  "Mark the gene": a method for nondestructive introduction of marker sequences inside the gene frame of transgenes.

Authors:  Yuki Morono; Wataru Kitagawa; Nobutada Kimura; Naohiro Noda; Kazunori Nakamura; Yoichi Kamagata
Journal:  Appl Environ Microbiol       Date:  2007-05-25       Impact factor: 4.792

6.  Next-generation sequencing is a robust strategy for the high-throughput detection of zygosity in transgenic maize.

Authors:  Leonie Fritsch; Rainer Fischer; Christoph Wambach; Max Dudek; Stefan Schillberg; Florian Schröper
Journal:  Transgenic Res       Date:  2015-02-04       Impact factor: 2.788

7.  Validation of a cotton-specific gene, Sad1, used as an endogenous reference gene in qualitative and real-time quantitative PCR detection of transgenic cottons.

Authors:  Litao Yang; Jianxiu Chen; Cheng Huang; Yuhui Liu; Shirong Jia; Liangwen Pan; Dabing Zhang
Journal:  Plant Cell Rep       Date:  2005-02-22       Impact factor: 4.570

8.  Evaluation of lateral-flow Clostridium botulinum neurotoxin detection kits for food analysis.

Authors:  Shashi K Sharma; Brian S Eblen; Robert L Bull; Donald H Burr; Richard C Whiting
Journal:  Appl Environ Microbiol       Date:  2005-07       Impact factor: 4.792

9.  Detection of genetically modified maize in Jordan.

Authors:  Abeer Aburumman; Hussein Migdadi; Muhanad Akash; Ayed Al-Abdallat; Yaser Hassan Dewir; Muhammad Farooq
Journal:  GM Crops Food       Date:  2020-04-07       Impact factor: 3.074

10.  PCR-free detection of genetically modified organisms using magnetic capture technology and fluorescence cross-correlation spectroscopy.

Authors:  Xiaoming Zhou; Da Xing; Yonghong Tang; Wei R Chen
Journal:  PLoS One       Date:  2009-11-26       Impact factor: 3.240

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