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Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis

A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ci...

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Autores principales: Toledo-Martín, Eva María, García-García, María del Carmen, Font, Rafael, Moreno-Rojas, José Manuel, Salinas-Navarro, María, Gómez, Pedro, del Río-Celestino, Mercedes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321251/
https://www.ncbi.nlm.nih.gov/pubmed/30518067
http://dx.doi.org/10.3390/molecules23123191
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author Toledo-Martín, Eva María
García-García, María del Carmen
Font, Rafael
Moreno-Rojas, José Manuel
Salinas-Navarro, María
Gómez, Pedro
del Río-Celestino, Mercedes
author_facet Toledo-Martín, Eva María
García-García, María del Carmen
Font, Rafael
Moreno-Rojas, José Manuel
Salinas-Navarro, María
Gómez, Pedro
del Río-Celestino, Mercedes
author_sort Toledo-Martín, Eva María
collection PubMed
description A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g(−1) dw and 8.30 µg·g(−1) dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations.
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spelling pubmed-63212512019-01-14 Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis Toledo-Martín, Eva María García-García, María del Carmen Font, Rafael Moreno-Rojas, José Manuel Salinas-Navarro, María Gómez, Pedro del Río-Celestino, Mercedes Molecules Article A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g(−1) dw and 8.30 µg·g(−1) dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations. MDPI 2018-12-04 /pmc/articles/PMC6321251/ /pubmed/30518067 http://dx.doi.org/10.3390/molecules23123191 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
Toledo-Martín, Eva María
García-García, María del Carmen
Font, Rafael
Moreno-Rojas, José Manuel
Salinas-Navarro, María
Gómez, Pedro
del Río-Celestino, Mercedes
Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis
title Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis
title_full Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis
title_fullStr Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis
title_full_unstemmed Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis
title_short Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis
title_sort quantification of total phenolic and carotenoid content in blackberries (rubus fructicosus l.) using near infrared spectroscopy (nirs) and multivariate analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321251/
https://www.ncbi.nlm.nih.gov/pubmed/30518067
http://dx.doi.org/10.3390/molecules23123191
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