Literature DB >> 26631264

Measurement issues associated with quantitative molecular biology analysis of complex food matrices for the detection of food fraud.

Malcolm Burns1, Gordon Wiseman, Angus Knight, Peter Bramley, Lucy Foster, Sophie Rollinson, Andrew Damant, Sandy Primrose.   

Abstract

Following a report on a significant amount of horse DNA being detected in a beef burger product on sale to the public at a UK supermarket in early 2013, the Elliott report was published in 2014 and contained a list of recommendations for helping ensure food integrity. One of the recommendations included improving laboratory testing capacity and capability to ensure a harmonised approach for testing for food authenticity. Molecular biologists have developed exquisitely sensitive methods based on the polymerase chain reaction (PCR) or mass spectrometry for detecting the presence of particular nucleic acid or peptide/protein sequences. These methods have been shown to be specific and sensitive in terms of lower limits of applicability, but they are largely qualitative in nature. Historically, the conversion of these qualitative techniques into reliable quantitative methods has been beset with problems even when used on relatively simple sample matrices. When the methods are applied to complex sample matrices, as found in many foods, the problems are magnified resulting in a high measurement uncertainty associated with the result which may mean that the assay is not fit for purpose. However, recent advances in the technology and the understanding of molecular biology approaches have further given rise to the re-assessment of these methods for their quantitative potential. This review focuses on important issues for consideration when validating a molecular biology assay and the various factors that can impact on the measurement uncertainty of a result associated with molecular biology approaches used in detection of food fraud, with a particular focus on quantitative PCR-based and proteomics assays.

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Year:  2015        PMID: 26631264     DOI: 10.1039/c5an01392e

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  7 in total

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Journal:  Toxins (Basel)       Date:  2017-09-25       Impact factor: 4.546

2.  Biomonitoring for traditional herbal medicinal products using DNA metabarcoding and single molecule, real-time sequencing.

Authors:  Tianyi Xin; Zhichao Xu; Jing Jia; Christine Leon; Songnian Hu; Yulin Lin; Subramanyam Ragupathy; Jingyuan Song; Steven G Newmaster
Journal:  Acta Pharm Sin B       Date:  2017-11-06       Impact factor: 11.413

3.  Food Tracking Perspective: DNA Metabarcoding to Identify Plant Composition in Complex and Processed Food Products.

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Journal:  Genes (Basel)       Date:  2019-03-25       Impact factor: 4.096

4.  Exploring DNA quantity and quality from raw materials to botanical extracts.

Authors:  Subramanyam Ragupathy; Adam C Faller; Dhivya Shanmughanandhan; Prasad Kesanakurti; R Uma Shaanker; Gudasalamani Ravikanth; Ramalingam Sathishkumar; Narayanasamy Mathivanan; Jingyuan Song; Jianping Han; Steven Newmaster
Journal:  Heliyon       Date:  2019-06-15

Review 5.  Metrological framework to support accurate, reliable, and reproducible nucleic acid measurements.

Authors:  Mojca Milavec; Megan H Cleveland; Young-Kyung Bae; Robert I Wielgosz; Maxim Vonsky; Jim F Huggett
Journal:  Anal Bioanal Chem       Date:  2021-11-04       Impact factor: 4.142

6.  Validation of a digital PCR method for quantification of DNA copy number concentrations by using a certified reference material.

Authors:  Liesbet Deprez; Philippe Corbisier; Anne-Marie Kortekaas; Stéphane Mazoua; Roxana Beaz Hidalgo; Stefanie Trapmann; Hendrik Emons
Journal:  Biomol Detect Quantif       Date:  2016-08-30

7.  Detection and dissemination of Toxoplasma gondii in experimentally infected calves, a single test does not tell the whole story.

Authors:  Alison Burrells; Alessandra Taroda; Marieke Opsteegh; Gereon Schares; Julio Benavides; Cecile Dam-Deisz; Paul M Bartley; Francesca Chianini; Isabella Villena; Joke van der Giessen; Elisabeth A Innes; Frank Katzer
Journal:  Parasit Vectors       Date:  2018-01-18       Impact factor: 3.876

  7 in total

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