Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise <i>Chorizo</i> Sausages from Iberian Pigs According to Several Quality Standards

The ability of Near Infrared Spectroscopy (NIRS) to classify pre-sliced Iberian <i>chorizo</i> modified atmosphere packaged (MAP) according to the animal material used in their production (<i>Black</i>, <i>Red</i>, <i>White</i>) in their production in...

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Main Authors: Alberto Ortiz, Lucía León, Rebeca Contador, David Tejerina
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/23/11379
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author Alberto Ortiz
Lucía León
Rebeca Contador
David Tejerina
author_facet Alberto Ortiz
Lucía León
Rebeca Contador
David Tejerina
author_sort Alberto Ortiz
collection DOAJ
description The ability of Near Infrared Spectroscopy (NIRS) to classify pre-sliced Iberian <i>chorizo</i> modified atmosphere packaged (MAP) according to the animal material used in their production (<i>Black</i>, <i>Red</i>, <i>White</i>) in their production in accordance with the official trade categories (which includes the handling system and the different inter-racial crossbreeds) without opening the package was assayed. Furthermore, various spectra pre-treatments and supervised classification chemometric tools; Partial least square-discriminant analysis (PLS-DA), soft independent modelling of class analogies (SIMCA) and linear discriminant analysis (LDA), were assessed. The highest sensitivity values in both calibration and external validation were achieved with SIMCA followed by PLS-DA approaches, while LDA had more provided values among sensitivity and specificity and between the different commercial categories in both sample sets, thus yielding the highest discriminant ability. These results could be a resource to support the traceability and authentication control of individual pre-sliced MAP Iberian <i>chorizo</i> according to the commercial category of the raw material in a non-destructive way.
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spelling doaj.art-07add2cfc7db470da5cf05675e7138852023-11-23T02:07:11ZengMDPI AGApplied Sciences2076-34172021-12-0111231137910.3390/app112311379Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise <i>Chorizo</i> Sausages from Iberian Pigs According to Several Quality StandardsAlberto Ortiz0Lucía León1Rebeca Contador2David Tejerina3Meat Quality Area, Center of Scientific and Technological Research of Extremadura (CICYTEX-La Orden), Junta de Extremadura, Ctra A-V, Km272, 06187 Guadajira, SpainMeat Quality Area, Center of Scientific and Technological Research of Extremadura (CICYTEX-La Orden), Junta de Extremadura, Ctra A-V, Km272, 06187 Guadajira, SpainMeat Quality Area, Center of Scientific and Technological Research of Extremadura (CICYTEX-La Orden), Junta de Extremadura, Ctra A-V, Km272, 06187 Guadajira, SpainMeat Quality Area, Center of Scientific and Technological Research of Extremadura (CICYTEX-La Orden), Junta de Extremadura, Ctra A-V, Km272, 06187 Guadajira, SpainThe ability of Near Infrared Spectroscopy (NIRS) to classify pre-sliced Iberian <i>chorizo</i> modified atmosphere packaged (MAP) according to the animal material used in their production (<i>Black</i>, <i>Red</i>, <i>White</i>) in their production in accordance with the official trade categories (which includes the handling system and the different inter-racial crossbreeds) without opening the package was assayed. Furthermore, various spectra pre-treatments and supervised classification chemometric tools; Partial least square-discriminant analysis (PLS-DA), soft independent modelling of class analogies (SIMCA) and linear discriminant analysis (LDA), were assessed. The highest sensitivity values in both calibration and external validation were achieved with SIMCA followed by PLS-DA approaches, while LDA had more provided values among sensitivity and specificity and between the different commercial categories in both sample sets, thus yielding the highest discriminant ability. These results could be a resource to support the traceability and authentication control of individual pre-sliced MAP Iberian <i>chorizo</i> according to the commercial category of the raw material in a non-destructive way.https://www.mdpi.com/2076-3417/11/23/11379PLS-DASIMCALDAunopened packagemodified atmosphere packaging
spellingShingle Alberto Ortiz
Lucía León
Rebeca Contador
David Tejerina
Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise <i>Chorizo</i> Sausages from Iberian Pigs According to Several Quality Standards
Applied Sciences
PLS-DA
SIMCA
LDA
unopened package
modified atmosphere packaging
title Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise <i>Chorizo</i> Sausages from Iberian Pigs According to Several Quality Standards
title_full Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise <i>Chorizo</i> Sausages from Iberian Pigs According to Several Quality Standards
title_fullStr Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise <i>Chorizo</i> Sausages from Iberian Pigs According to Several Quality Standards
title_full_unstemmed Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise <i>Chorizo</i> Sausages from Iberian Pigs According to Several Quality Standards
title_short Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise <i>Chorizo</i> Sausages from Iberian Pigs According to Several Quality Standards
title_sort potencial use of near infrared spectroscopy nirs to categorise i chorizo i sausages from iberian pigs according to several quality standards
topic PLS-DA
SIMCA
LDA
unopened package
modified atmosphere packaging
url https://www.mdpi.com/2076-3417/11/23/11379
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