Literature DB >> 15123385

Detection and traceability of genetically modified organisms in the food production chain.

M Miraglia1, K G Berdal, C Brera, P Corbisier, A Holst-Jensen, E J Kok, H J P Marvin, H Schimmel, J Rentsch, J P P F van Rie, J Zagon.   

Abstract

Both labelling and traceability of genetically modified organisms are current issues that are considered in trade and regulation. Currently, labelling of genetically modified foods containing detectable transgenic material is required by EU legislation. A proposed package of legislation would extend this labelling to foods without any traces of transgenics. These new legislations would also impose labelling and a traceability system based on documentation throughout the food and feed manufacture system. The regulatory issues of risk analysis and labelling are currently harmonised by Codex Alimentarius. The implementation and maintenance of the regulations necessitates sampling protocols and analytical methodologies that allow for accurate determination of the content of genetically modified organisms within a food and feed sample. Current methodologies for the analysis of genetically modified organisms are focused on either one of two targets, the transgenic DNA inserted- or the novel protein(s) expressed- in a genetically modified product. For most DNA-based detection methods, the polymerase chain reaction is employed. Items that need consideration in the use of DNA-based detection methods include the specificity, sensitivity, matrix effects, internal reference DNA, availability of external reference materials, hemizygosity versus homozygosity, extrachromosomal DNA, and international harmonisation. For most protein-based methods, enzyme-linked immunosorbent assays with antibodies binding the novel protein are employed. Consideration should be given to the selection of the antigen bound by the antibody, accuracy, validation, and matrix effects. Currently, validation of detection methods for analysis of genetically modified organisms is taking place. In addition, new methodologies are developed, including the use of microarrays, mass spectrometry, and surface plasmon resonance. Challenges for GMO detection include the detection of transgenic material in materials with varying chromosome numbers. The existing and proposed regulatory EU requirements for traceability of genetically modified products fit within a broader tendency towards traceability of foods in general and, commercially, towards products that can be distinguished from each other. Traceability systems document the history of a product and may serve the purpose of both marketing and health protection. In this framework, segregation and identity preservation systems allow for the separation of genetically modified and non-modified products from "farm to fork". Implementation of these systems comes with specific technical requirements for each particular step of the food processing chain. In addition, the feasibility of traceability systems depends on a number of factors, including unique identifiers for each genetically modified product, detection methods, permissible levels of contamination, and financial costs. In conclusion, progress has been achieved in the field of sampling, detection, and traceability of genetically modified products, while some issues remain to be solved. For success, much will depend on the threshold level for adventitious contamination set by legislation. Copryright 2004 Elsevier Ltd.

Mesh:

Year:  2004        PMID: 15123385     DOI: 10.1016/j.fct.2004.02.018

Source DB:  PubMed          Journal:  Food Chem Toxicol        ISSN: 0278-6915            Impact factor:   6.023


  28 in total

1.  DNA extraction techniques compared for accurate detection of genetically modified organisms (GMOs) in maize food and feed products.

Authors:  Aydin Turkec; Hande Kazan; Burçin Karacanli; Stuart J Lucas
Journal:  J Food Sci Technol       Date:  2014-09-17       Impact factor: 2.701

2.  Dynamics of whole and lysed bacterial cells during Parmigiano-Reggiano cheese production and ripening.

Authors:  Monica Gatti; Juliano De Dea Lindner; Angela De Lorentiis; Benedetta Bottari; Marcela Santarelli; Valentina Bernini; Erasmo Neviani
Journal:  Appl Environ Microbiol       Date:  2008-08-08       Impact factor: 4.792

3.  Rapid screening of roundup ready soybean in food samples by a hand-held PCR device.

Authors:  Hsiang-Yun Tung; Sue-Hong Wang; Yu-Cheng Chiang; Ming-Shiun Tsai
Journal:  Food Sci Biotechnol       Date:  2016-08-31       Impact factor: 2.391

Review 4.  Genetically modified foods: safety, risks and public concerns-a review.

Authors:  A S Bawa; K R Anilakumar
Journal:  J Food Sci Technol       Date:  2012-12-19       Impact factor: 2.701

5.  Phage-Mediated Competitive Chemiluminescent Immunoassay for Detecting Cry1Ab Toxin by Using an Anti-Idiotypic Camel Nanobody.

Authors:  Yulou Qiu; Pan Li; Sa Dong; Xiaoshuai Zhang; Qianru Yang; Yulong Wang; Jing Ge; Bruce D Hammock; Cunzheng Zhang; Xianjin Liu
Journal:  J Agric Food Chem       Date:  2018-01-22       Impact factor: 5.279

6.  Event-specific qualitative and quantitative PCR methods for the detection of genetically modified rapeseed Oxy-235.

Authors:  Gang Wu; Yuhua Wu; Ling Xiao; Changming Lu
Journal:  Transgenic Res       Date:  2008-02-19       Impact factor: 2.788

7.  Testing the interaction between analytical modules: an example with Roundup Ready soybean line GTS 40-3-2.

Authors:  Gianni Bellocchi; Marzia De Giacomo; Nicoletta Foti; Marco Mazzara; Eleonora Palmaccio; Cristian Savini; Chiara Di Domenicantonio; Roberta Onori; Guy Van den Eede
Journal:  BMC Biotechnol       Date:  2010-08-05       Impact factor: 2.563

8.  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

Review 9.  Current perspectives on genetically modified crops and detection methods.

Authors:  Madhu Kamle; Pradeep Kumar; Jayanta Kumar Patra; Vivek K Bajpai
Journal:  3 Biotech       Date:  2017-07-03       Impact factor: 2.406

10.  A miniature integrated multimodal sensor for measuring pH, EC and temperature for precision agriculture.

Authors:  Masato Futagawa; Taichi Iwasaki; Hiroaki Murata; Makoto Ishida; Kazuaki Sawada
Journal:  Sensors (Basel)       Date:  2012-06-15       Impact factor: 3.576

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