The Potential of Handheld Near Infrared Spectroscopy to detect food adulteration: Results of a global, multi-instrument inter-laboratory study

Terry F McGrath; Simon A Haughey; Marivil  Islam; Christopher T Elliott

doi:10.1016/j.foodchem.2020.128718

The Potential of Handheld Near Infrared Spectroscopy to detect food adulteration: Results of a global, multi-instrument inter-laboratory study

Terry F McGrath, Simon A Haughey, Marivil Islam, Christopher T Elliott

School of Biological Sciences

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

366 Downloads (Pure)

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. [Abstract copyright: Copyright © 2020 Elsevier Ltd. All rights reserved.]

Original language	English
Article number	128718
Pages (from-to)	128718
Journal	Food Chemistry
Volume	353
Early online date	29 Nov 2020
DOIs	https://doi.org/10.1016/j.foodchem.2020.128718
Publication status	Early online date - 29 Nov 2020

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.foodchem.2020.128718Licence: Unspecified

The Potential of Handheld Near Infrared Spectroscopy to detect food adulteration: Results of a global, multi-instrument inter-laboratory study
Copyright 2020 Elsevier. This manuscript is distributed under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Accepted author manuscript, 523 KBLicence: CC BY-NC-ND

Cite this

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title = "The Potential of Handheld Near Infrared Spectroscopy to detect food adulteration: Results of a global, multi-instrument inter-laboratory study",

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. [Abstract copyright: Copyright {\textcopyright} 2020 Elsevier Ltd. All rights reserved.]",

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AU - Elliott, Christopher T

PY - 2020/11/29

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AB - 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. [Abstract copyright: Copyright © 2020 Elsevier Ltd. All rights reserved.]

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The Potential of Handheld Near Infrared Spectroscopy to detect food adulteration: Results of a global, multi-instrument inter-laboratory study

Abstract

Keywords

UN SDGs

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