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Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review

The qualitative and quantitative evaluation of agricultural products has often been carried out using traditional, i.e., destructive, techniques. Due to their inherent disadvantages, non-destructive methods that use near-infrared spectroscopy (NIRS) coupled with chemometrics could be useful for eval...

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Autores principales: Pandiselvam, R., Prithviraj, V., Manikantan, M. R., Kothakota, Anjineyulu, Rusu, Alexandru Vasile, Trif, Monica, Mousavi Khaneghah, Amin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597448/
https://www.ncbi.nlm.nih.gov/pubmed/36313102
http://dx.doi.org/10.3389/fnut.2022.973457
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author Pandiselvam, R.
Prithviraj, V.
Manikantan, M. R.
Kothakota, Anjineyulu
Rusu, Alexandru Vasile
Trif, Monica
Mousavi Khaneghah, Amin
author_facet Pandiselvam, R.
Prithviraj, V.
Manikantan, M. R.
Kothakota, Anjineyulu
Rusu, Alexandru Vasile
Trif, Monica
Mousavi Khaneghah, Amin
author_sort Pandiselvam, R.
collection PubMed
description The qualitative and quantitative evaluation of agricultural products has often been carried out using traditional, i.e., destructive, techniques. Due to their inherent disadvantages, non-destructive methods that use near-infrared spectroscopy (NIRS) coupled with chemometrics could be useful for evaluating various agricultural products. Advancements in computational power, machine learning, regression models, artificial neural networks (ANN), and other predictive tools have made their way into NIRS, improving its potential to be a feasible alternative to destructive measurements. Moreover, the incorporation of suitable preprocessing techniques and wavelength selection methods has arguably proven its practical feasibility. This review focuses on the various computation methods used for processing the spectral data collected and discusses the potential applications of NIRS for evaluating the quality and safety of agricultural products. The challenges associated with this technology are also discussed, as well as potential future perspectives. We conclude that NIRS is a potentially useful tool for the rapid assessment of the quality and safety of agricultural products.
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spelling pubmed-95974482022-10-27 Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review Pandiselvam, R. Prithviraj, V. Manikantan, M. R. Kothakota, Anjineyulu Rusu, Alexandru Vasile Trif, Monica Mousavi Khaneghah, Amin Front Nutr Nutrition The qualitative and quantitative evaluation of agricultural products has often been carried out using traditional, i.e., destructive, techniques. Due to their inherent disadvantages, non-destructive methods that use near-infrared spectroscopy (NIRS) coupled with chemometrics could be useful for evaluating various agricultural products. Advancements in computational power, machine learning, regression models, artificial neural networks (ANN), and other predictive tools have made their way into NIRS, improving its potential to be a feasible alternative to destructive measurements. Moreover, the incorporation of suitable preprocessing techniques and wavelength selection methods has arguably proven its practical feasibility. This review focuses on the various computation methods used for processing the spectral data collected and discusses the potential applications of NIRS for evaluating the quality and safety of agricultural products. The challenges associated with this technology are also discussed, as well as potential future perspectives. We conclude that NIRS is a potentially useful tool for the rapid assessment of the quality and safety of agricultural products. Frontiers Media S.A. 2022-10-12 /pmc/articles/PMC9597448/ /pubmed/36313102 http://dx.doi.org/10.3389/fnut.2022.973457 Text en Copyright © 2022 Pandiselvam, Prithviraj, Manikantan, Kothakota, Rusu, Trif and Mousavi Khaneghah. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Pandiselvam, R.
Prithviraj, V.
Manikantan, M. R.
Kothakota, Anjineyulu
Rusu, Alexandru Vasile
Trif, Monica
Mousavi Khaneghah, Amin
Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review
title Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review
title_full Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review
title_fullStr Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review
title_full_unstemmed Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review
title_short Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review
title_sort recent advancements in nir spectroscopy for assessing the quality and safety of horticultural products: a comprehensive review
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597448/
https://www.ncbi.nlm.nih.gov/pubmed/36313102
http://dx.doi.org/10.3389/fnut.2022.973457
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