Literature DB >> 33838431

The potential of handheld near infrared spectroscopy to detect food adulteration: Results of a global, multi-instrument inter-laboratory study.

Terry F McGrath1, Simon A Haughey2, Marivil Islam3, Christopher T Elliott4.   

Abstract

Fraud in the food supply system will be exacerbated by shortages caused by climate change and COVID-19's impact. The dried herbs market exemplifies complex supply chains attractive to criminals seeking financial gain. Real-time remote testing is achievable through development of globally accessible chemometric models for portable near infrared devices, deployed throughout supply chains. This study describes building of models for detection of oregano adulteration, on portable near infrared devices, and comparison to a laboratory-based Fourier-Transform Infrared spectroscopy method. 33/34 portable devices were able to correctly classify 5 out of 6 samples successfully with all adulterated samples being correctly classified following the use of appropriate transferability pre-processing routines. The devices native setup shows limited ability to perform a true screening of oregano using the setup offered. However modifications to the setup could in the future offer a solution that facilitates fit-for-purpose real time detection of adulterated samples within the supply chain.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemometric models; Discriminant analysis; Food adulteration testing; Global Inter-laboratory study; Herbs and spices; Oregano adulteration; Portable near infrared spectroscopy

Year:  2020        PMID: 33838431     DOI: 10.1016/j.foodchem.2020.128718

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

1.  The "Hygiene Package": Analysis of Fraud Rates in Italy in the Period before and after Its Entry into Force.

Authors:  Annalisa Previti; Domenico Vicari; Francesca Conte; Michela Pugliese; Valeria Gargano; Angela Alibrandi; Agata Zirilli; Annamaria Passantino
Journal:  Foods       Date:  2022-04-26

2.  Portable vs. Benchtop NIR-Sensor Technology for Classification and Quality Evaluation of Black Truffle.

Authors:  Christoph Kappacher; Benedikt Trübenbacher; Klemens Losso; Matthias Rainer; Günther K Bonn; Christian W Huck
Journal:  Molecules       Date:  2022-01-18       Impact factor: 4.411

Review 3.  Application of near-infrared spectroscopy for the nondestructive analysis of wheat flour: A review.

Authors:  Shun Zhang; Shuliang Liu; Li Shen; Shujuan Chen; Li He; Aiping Liu
Journal:  Curr Res Food Sci       Date:  2022-08-23
  3 in total

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