Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of ‘Calçots’ (<i>Allium cepa</i> L.)

Using trained panelists to evaluate sensory attributes is unfeasible when many samples must be evaluated, such as in quality control or breeding programs. Near-infrared spectroscopy (NIRS) is a rapid inexpensive method often used in food quality evaluation. We assessed the feasibility of using NIRS...

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Main Authors: Silvia Sans, Joan Ferré, Ricard Boqué, José Sabaté, Joan Casals, Joan Simó
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/10/6/828
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author Silvia Sans
Joan Ferré
Ricard Boqué
José Sabaté
Joan Casals
Joan Simó
author_facet Silvia Sans
Joan Ferré
Ricard Boqué
José Sabaté
Joan Casals
Joan Simó
author_sort Silvia Sans
collection DOAJ
description Using trained panelists to evaluate sensory attributes is unfeasible when many samples must be evaluated, such as in quality control or breeding programs. Near-infrared spectroscopy (NIRS) is a rapid inexpensive method often used in food quality evaluation. We assessed the feasibility of using NIRS to estimate sweetness, fiber perception, and off-flavors, the most important sensory attributes in cooked ‘calçots’ (the immature floral stems of second-year onion resprouts). The best results were achieved through models using interval partial least squares (iPLS) variable selection on spectra from pureed cooked ‘calçots’, which yielded values of the ratio of performance to deviation (RPD) greater than 1.4 in all cases. Therefore, it would be feasible to use NIRS to estimate sensory properties in ‘calçots’. This approach would be useful in initial screening to discard samples that differ substantially from the ideotype; thus, sensory analysis by trained panels could be reserved for finer discriminations.
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spelling doaj.art-8cfb8d12e78d4579b6ebd70e1c8ff51d2023-12-03T11:55:59ZengMDPI AGAgronomy2073-43952020-06-0110682810.3390/agronomy10060828Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of ‘Calçots’ (<i>Allium cepa</i> L.)Silvia Sans0Joan Ferré1Ricard Boqué2José Sabaté3Joan Casals4Joan Simó5Department of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, BarcelonaTech, Campus Baix Llobregat, Esteve Terrades 8, 08860 Castelldefels, SpainDepartment of Analytical Chemistry and Organic Chemistry, Rovira i Virgili University, Campus Sescelades, 43007 Tarragona, SpainDepartment of Analytical Chemistry and Organic Chemistry, Rovira i Virgili University, Campus Sescelades, 43007 Tarragona, SpainDepartment of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, BarcelonaTech, Campus Baix Llobregat, Esteve Terrades 8, 08860 Castelldefels, SpainDepartment of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, BarcelonaTech, Campus Baix Llobregat, Esteve Terrades 8, 08860 Castelldefels, SpainDepartment of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, BarcelonaTech, Campus Baix Llobregat, Esteve Terrades 8, 08860 Castelldefels, SpainUsing trained panelists to evaluate sensory attributes is unfeasible when many samples must be evaluated, such as in quality control or breeding programs. Near-infrared spectroscopy (NIRS) is a rapid inexpensive method often used in food quality evaluation. We assessed the feasibility of using NIRS to estimate sweetness, fiber perception, and off-flavors, the most important sensory attributes in cooked ‘calçots’ (the immature floral stems of second-year onion resprouts). The best results were achieved through models using interval partial least squares (iPLS) variable selection on spectra from pureed cooked ‘calçots’, which yielded values of the ratio of performance to deviation (RPD) greater than 1.4 in all cases. Therefore, it would be feasible to use NIRS to estimate sensory properties in ‘calçots’. This approach would be useful in initial screening to discard samples that differ substantially from the ideotype; thus, sensory analysis by trained panels could be reserved for finer discriminations.https://www.mdpi.com/2073-4395/10/6/828‘calçot’NIRSsensory analysisquality controlPLSonion
spellingShingle Silvia Sans
Joan Ferré
Ricard Boqué
José Sabaté
Joan Casals
Joan Simó
Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of ‘Calçots’ (<i>Allium cepa</i> L.)
Agronomy
‘calçot’
NIRS
sensory analysis
quality control
PLS
onion
title Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of ‘Calçots’ (<i>Allium cepa</i> L.)
title_full Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of ‘Calçots’ (<i>Allium cepa</i> L.)
title_fullStr Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of ‘Calçots’ (<i>Allium cepa</i> L.)
title_full_unstemmed Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of ‘Calçots’ (<i>Allium cepa</i> L.)
title_short Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of ‘Calçots’ (<i>Allium cepa</i> L.)
title_sort estimating sensory properties with near infrared spectroscopy a tool for quality control and breeding of calcots i allium cepa i l
topic ‘calçot’
NIRS
sensory analysis
quality control
PLS
onion
url https://www.mdpi.com/2073-4395/10/6/828
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