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Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression

Normally the olive oil quality is assessed by chemical analysis according to international standards. These norms define chemical and organoleptic markers, and depending on the markers, the olive oil can be labelled as lampante, virgin, or extra virgin olive oil (EVOO), the last being an indicator o...

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Autores principales: Martínez Gila, Diego Manuel, Cano Marchal, Pablo, Gómez Ortega, Juan, Gámez García, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948626/
https://www.ncbi.nlm.nih.gov/pubmed/29587403
http://dx.doi.org/10.3390/s18040975
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author Martínez Gila, Diego Manuel
Cano Marchal, Pablo
Gómez Ortega, Juan
Gámez García, Javier
author_facet Martínez Gila, Diego Manuel
Cano Marchal, Pablo
Gómez Ortega, Juan
Gámez García, Javier
author_sort Martínez Gila, Diego Manuel
collection PubMed
description Normally the olive oil quality is assessed by chemical analysis according to international standards. These norms define chemical and organoleptic markers, and depending on the markers, the olive oil can be labelled as lampante, virgin, or extra virgin olive oil (EVOO), the last being an indicator of top quality. The polyphenol content is related to EVOO organoleptic features, and different scientific works have studied the positive influence that these compounds have on human health. The works carried out in this paper are focused on studying relations between the polyphenol content in olive oil samples and its spectral response in the near infrared spectra. In this context, several acquisition parameters have been assessed to optimize the measurement process within the virgin olive oil production process. The best regression model reached a mean error value of 156.14 mg/kg in leave one out cross validation, and the higher regression coefficient was 0.81 through holdout validation.
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spelling pubmed-59486262018-05-17 Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression Martínez Gila, Diego Manuel Cano Marchal, Pablo Gómez Ortega, Juan Gámez García, Javier Sensors (Basel) Article Normally the olive oil quality is assessed by chemical analysis according to international standards. These norms define chemical and organoleptic markers, and depending on the markers, the olive oil can be labelled as lampante, virgin, or extra virgin olive oil (EVOO), the last being an indicator of top quality. The polyphenol content is related to EVOO organoleptic features, and different scientific works have studied the positive influence that these compounds have on human health. The works carried out in this paper are focused on studying relations between the polyphenol content in olive oil samples and its spectral response in the near infrared spectra. In this context, several acquisition parameters have been assessed to optimize the measurement process within the virgin olive oil production process. The best regression model reached a mean error value of 156.14 mg/kg in leave one out cross validation, and the higher regression coefficient was 0.81 through holdout validation. MDPI 2018-03-25 /pmc/articles/PMC5948626/ /pubmed/29587403 http://dx.doi.org/10.3390/s18040975 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martínez Gila, Diego Manuel
Cano Marchal, Pablo
Gómez Ortega, Juan
Gámez García, Javier
Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression
title Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression
title_full Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression
title_fullStr Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression
title_full_unstemmed Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression
title_short Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression
title_sort non-invasive methodology to estimate polyphenol content in extra virgin olive oil based on stepwise multilinear regression
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948626/
https://www.ncbi.nlm.nih.gov/pubmed/29587403
http://dx.doi.org/10.3390/s18040975
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