Literature DB >> 12083275

Protein immunoassay methods for detection of biotech crops: applications, limitations, and practical considerations.

James W Stave1.   

Abstract

Immunoassay methods are available for detection and quantitation of proteins expressed by most biotechnology-derived crops in commercial production. The 2 most common test formats are enzyme-linked immunosorbent assay (ELISA) and immunochromatographic (lateral flow) strip tests. Two ELISA methods, one for Roundup Ready soybeans and one for MON810 CrylAb corn, were the subject of large international collaborative studies and were demonstrated to quantitatively determine the concentrations of biotech crops in samples of ground grain. Quantitative ELISA methods are also useful for analysis of processed fractions of agricultural commodities such as soybean toasted meal or corn flour. Both strip tests and ELISAs for biotech crops are currently being used on a large scale in the United States to manage the sale and distribution of grain. In these applications, tests are used to determine if the concentration of biotech grain is above or below specified threshold limits. Using existing U.S. Department of Agriculture sampling techniques, the reliability of the threshold determination is expressed in terms of statistical confidence rather than analytical precision. Combining the use of protein immunoassays with Identity Preservation systems provides an effective means of characterizing the raw and processed agricultural inputs to the food production system in a way that allows food producers to comply with labeling laws.

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Year:  2002        PMID: 12083275

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  9 in total

1.  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

2.  Influence of calcareous soil on Cry3Bb1 expression and efficacy in the field.

Authors:  David S Wangila; Arnubio Valencia J; Haichuan Wang; Blair D Siegfried; Lance J Meinke
Journal:  Transgenic Res       Date:  2017-03-22       Impact factor: 2.788

3.  Modeling effects of environment, insect damage, and Bt genotypes on fumonisin accumulation in maize in Argentina and the Philippines.

Authors:  Regina de la Campa; David C Hooker; J David Miller; Arthur W Schaafsma; Bruce G Hammond
Journal:  Mycopathologia       Date:  2005-06       Impact factor: 2.574

Review 4.  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

5.  Transgenic pigeonpea events expressing Cry1Ac and Cry2Aa exhibit resistance to Helicoverpa armigera.

Authors:  Gourab Ghosh; Shreeparna Ganguly; Arnab Purohit; Rituparna Kundu Chaudhuri; Sampa Das; Dipankar Chakraborti
Journal:  Plant Cell Rep       Date:  2017-03-28       Impact factor: 4.570

Review 6.  Critical assessment of digital PCR for the detection and quantification of genetically modified organisms.

Authors:  Tigst Demeke; David Dobnik
Journal:  Anal Bioanal Chem       Date:  2018-03-24       Impact factor: 4.142

7.  Development of a Rapid Point-of-Use DNA Test for the Screening of Genuity® Roundup Ready 2 Yield® Soybean in Seed Samples.

Authors:  Dilip Chandu; Sudakshina Paul; Mathew Parker; Yelena Dudin; Jennifer King-Sitzes; Tim Perez; Don W Mittanck; Manali Shah; Kevin C Glenn; Olaf Piepenburg
Journal:  Biomed Res Int       Date:  2016-05-26       Impact factor: 3.411

Review 8.  Current and new approaches in GMO detection: challenges and solutions.

Authors:  Marie-Alice Fraiture; Philippe Herman; Isabel Taverniers; Marc De Loose; Dieter Deforce; Nancy H Roosens
Journal:  Biomed Res Int       Date:  2015-10-15       Impact factor: 3.411

9.  A lateral flow immunochromatographic strip test for rapid detection of hexoestrol in fish samples.

Authors:  Xingdong Yang; Zhongke Sun; Fengshou Tian; Guochao Jia; Jifei Yang; Xiaofei Hu
Journal:  R Soc Open Sci       Date:  2018-08-29       Impact factor: 2.963

  9 in total

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