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Probabilistic classification models for the in situ authentication of iberian pig carcasses using near infrared spectroscopy

Pérez-Marín, D; Fearn, T; Riccioli, C; De Pedro, E; Garrido, A; (2021) Probabilistic classification models for the in situ authentication of iberian pig carcasses using near infrared spectroscopy. Talanta , 222 , Article 121511. 10.1016/j.talanta.2020.121511. Green open access

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Abstract

Iberian pig ham is one of several high value European food products that are the subject of significant attempts at fraud because of the high price differences between commercial categories. Iberian pig products are classified by the Spanish regulations into different categories, mainly depending on the feeding regime during the fattening phase and the race involved, being of Premium quality those products obtained from the animals fed with acorns and other natural resources. Most of the previous NIRS studies related to the Iberian pig have involved the use of at-line instruments to predict quantitative quality parameters. This paper explores the use of the NIR spectra (369 for training and 199 for validation) to classify samples according to the categories Premium (animals fed with acorn) and Non Premium (animals fed with compound feeds), using a MicroNIR™ Pro1700 microspectrometer to analyse individual carcasses in situ at the slaughterhouse line. Four discriminant methods were explored: linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), Kernel Bayes and Logistic Regression. These are all discriminant methods that naturally produce classification probabilities to quantify the uncertainty of the results. Rules were tuned and methods compared using both classification error rates and a probability scoring rule. LDA gave the best results, attaining an overall accuracy of 93% and providing well-calibrated classification probabilities.

Type: Article
Title: Probabilistic classification models for the in situ authentication of iberian pig carcasses using near infrared spectroscopy
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.talanta.2020.121511
Publisher version: https://doi.org/10.1016/j.talanta.2020.121511
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: in situ NIRS analysis, portable microspectrometer, Iberian pig classification, carcass authentication, probabilistic discrimination
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10108953
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