Literature DB >> 15295887

The modular analytical procedure and validation approach and the units of measurement for genetically modified materials in foods and feeds.

Arne Holst-Jensen1, Knut G Berdal.   

Abstract

Food and feed analysts are confronted with a number of common problems, irrespective of the analytical target. The analytical procedure can be described as a series of successive steps: sampling, sample processing, analyte extraction, and ending, finally, in interpretation of an analytical result produced with, e.g., real-time polymerase chain reaction. The final analytical result is dependent on proper method selection and execution and is only valid if valid methods (modules) are used throughout the analytical procedure. The final step is easy to validate-the measurement uncertainty added from this step is relatively limited and can be estimated with a high degree of precision. In contrast, the front-end sampling and processing steps have not evolved much, and the corresponding methods are rarely or never experimentally validated according to internationally harmonized protocols. In this paper, we outlined a strategy for modular validation of the entire analytical procedure, using an upstream validation approach, illustrated with methods for genetically modified materials that may partially apply also to other areas of food and feed analyses. We have also discussed some implications and consequences of this approach in relation to reference materials, measurement units, and thresholds for labelling and enforcement, and for application of the validated methods (modules) in routine food and feed analysis.

Mesh:

Year:  2004        PMID: 15295887

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


  9 in total

1.  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

Review 2.  Relative quantification in seed GMO analysis: state of art and bottlenecks.

Authors:  Maher Chaouachi; Aurélie Bérard; Khaled Saïd
Journal:  Transgenic Res       Date:  2013-02-12       Impact factor: 2.788

3.  A specific endogenous reference for genetically modified common bean (Phaseolus vulgaris L.) DNA quantification by real-time PCR targeting lectin gene.

Authors:  Gustavo L Venturelli; Fábio C A Brod; Gabriela B Rossi; Naíra F Zimmermann; Jaison P Oliveira; Josias C Faria; Ana C M Arisi
Journal:  Mol Biotechnol       Date:  2014-11       Impact factor: 2.695

4.  Application of the modular approach to an in-house validation study of real-time PCR methods for the detection and serogroup determination of verocytotoxigenic Escherichia coli.

Authors:  Dafni-Maria Kagkli; Thomas P Weber; Marc Van den Bulcke; Silvia Folloni; Rosangela Tozzoli; Stefano Morabito; Monica Ermolli; Laura Gribaldo; Guy Van den Eede
Journal:  Appl Environ Microbiol       Date:  2011-08-19       Impact factor: 4.792

5.  Use of pJANUS-02-001 as a calibrator plasmid for Roundup Ready soybean event GTS-40-3-2 detection: an interlaboratory trial assessment.

Authors:  A Lievens; G Bellocchi; D De Bernardi; W Moens; C Savini; M Mazzara; G Van den Eede; M Van den Bulcke
Journal:  Anal Bioanal Chem       Date:  2009-12-17       Impact factor: 4.142

6.  Increased efficacy for in-house validation of real-time PCR GMO detection methods.

Authors:  I M J Scholtens; E J Kok; L Hougs; B Molenaar; J T N M Thissen; H van der Voet
Journal:  Anal Bioanal Chem       Date:  2009-12-09       Impact factor: 4.142

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.  Critical points of DNA quantification by real-time PCR--effects of DNA extraction method and sample matrix on quantification of genetically modified organisms.

Authors:  Katarina Cankar; Dejan Stebih; Tanja Dreo; Jana Zel; Kristina Gruden
Journal:  BMC Biotechnol       Date:  2006-08-14       Impact factor: 2.563

9.  Quantitative real-time PCR as a promising tool for the detection and quantification of leaf-associated fungal species - A proof-of-concept using Alatospora pulchella.

Authors:  Alexander Feckler; Anne Schrimpf; Mirco Bundschuh; Felix Bärlocher; Patrick Baudy; Julien Cornut; Ralf Schulz
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

  9 in total

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