Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments

Miniaturised near-infrared (NIR) instruments have been increasingly used in the last few years, and they have become useful tools for many applications on different types of samples. The market already offers a wide variety of these instruments, each one having specific requirements for the correct...

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Autores principales: Giussani, Barbara, Escalante-Quiceno, Alix Tatiana, Boqué, Ricard, Riu, Jordi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618161/
https://www.ncbi.nlm.nih.gov/pubmed/34829136
http://dx.doi.org/10.3390/foods10112856
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author Giussani, Barbara
Escalante-Quiceno, Alix Tatiana
Boqué, Ricard
Riu, Jordi
author_facet Giussani, Barbara
Escalante-Quiceno, Alix Tatiana
Boqué, Ricard
Riu, Jordi
author_sort Giussani, Barbara
collection PubMed
description Miniaturised near-infrared (NIR) instruments have been increasingly used in the last few years, and they have become useful tools for many applications on different types of samples. The market already offers a wide variety of these instruments, each one having specific requirements for the correct acquisition of the instrumental signal. This paper presents the development and optimisation of different measuring strategies for two miniaturised NIR instruments in order to find the best measuring conditions for the rapid and low-cost analysis of olive oils. The developed strategies have been applied to the classification of different samples of olive oils, obtaining good results in all cases.
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spelling pubmed-86181612021-11-27 Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments Giussani, Barbara Escalante-Quiceno, Alix Tatiana Boqué, Ricard Riu, Jordi Foods Article Miniaturised near-infrared (NIR) instruments have been increasingly used in the last few years, and they have become useful tools for many applications on different types of samples. The market already offers a wide variety of these instruments, each one having specific requirements for the correct acquisition of the instrumental signal. This paper presents the development and optimisation of different measuring strategies for two miniaturised NIR instruments in order to find the best measuring conditions for the rapid and low-cost analysis of olive oils. The developed strategies have been applied to the classification of different samples of olive oils, obtaining good results in all cases. MDPI 2021-11-18 /pmc/articles/PMC8618161/ /pubmed/34829136 http://dx.doi.org/10.3390/foods10112856 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Giussani, Barbara
Escalante-Quiceno, Alix Tatiana
Boqué, Ricard
Riu, Jordi
Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments
title Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments
title_full Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments
title_fullStr Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments
title_full_unstemmed Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments
title_short Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments
title_sort measurement strategies for the classification of edible oils using low-cost miniaturised portable nir instruments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618161/
https://www.ncbi.nlm.nih.gov/pubmed/34829136
http://dx.doi.org/10.3390/foods10112856
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