Literature DB >> 33067082

Making complex measurements of meat composition fast: Application of rapid evaporative ionisation mass spectrometry to measuring meat quality and fraud.

Alastair Ross1, Carl Brunius2, Olivier Chevallier3, Gaud Dervilly4, Chris Elliott5, Yann Guitton6, Jessica E Prenni7, Otto Savolainen8, Lieselot Hemeryck9, Nanna Hjort Vidkjær10, Nigel Scollan11, Sara L Stead12, Renyu Zhang13, Lynn Vanhaecke14.   

Abstract

Increasing demands are being placed on meat producers to verify more about their product with regards to safety, quality and authenticity. There are many methods that can detect aspects of these parameters in meat, yet most are too slow to keep up with the demands of modern meat processing plants and supply chains. A new technology, Rapid Evaporative Ionisation Mass Spectrometry (REIMS), has the potential to bridge the gap between advanced laboratory measurements and technology that can screen for quality, safety and authenticity parameters in a single measurement. Analysis with REIMS generates a detailed mass spectral fingerprint representative of a meat sample without the need for sample processing. REIMS has successfully been used to detect species fraud, detect use of hormones in meat animals, monitor meat processing and to detect off flavours such as boar taint. The aim of this review is to summarize these and other applications to highlight the potential of REIMS for meat analysis. Sampling methods and important considerations for data analysis are discussed as well as limitations of the technology and remaining challenges for practical adoption. Crown
Copyright © 2020. Published by Elsevier Ltd. All rights reserved.

Year:  2020        PMID: 33067082     DOI: 10.1016/j.meatsci.2020.108333

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  3 in total

1.  Evaluating the ability of rapid evaporative ionization mass spectrometry to differentiate beef palatability based on consumer preference.

Authors:  Chaoyu Zhai; Bailey Schilling; Jessica E Prenni; J Chance Brooks; Jerrad F Legako; Rhonda K Miller; Michael J Hernandez-Sintharakao; Cody L Gifford; Robert Delmore; Mahesh N Nair
Journal:  J Food Sci Technol       Date:  2022-08-16       Impact factor: 3.117

2.  Metabolomic profiling to detect different forms of beef fraud using rapid evaporative ionisation mass spectrometry (REIMS).

Authors:  Kelsey Robson; Nicholas Birse; Olivier Chevallier; Christopher Elliott
Journal:  NPJ Sci Food       Date:  2022-01-27

3.  Visual Detection of Chicken Adulteration Based on a Lateral Flow Strip-PCR Strategy.

Authors:  Haoyi Xu; Hangzhen Lan; Daodong Pan; Junfeng Xu; Xiaofu Wang
Journal:  Foods       Date:  2022-08-05
  3 in total

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