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Geographical origin, curing plant and commercial category discrimination of cured Iberian hams through volatilome analysis at industry level

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Author
Rodríguez-Hernández, Pablo
Martín Gómez, Andrés
Cardador Dueñas, María José
Amaro López, Manuel Ángel
Arce Jiménez, Lourdes
Rodríguez-Estévez, V.
Publisher
Elsevier
Date
2022
Subject
Iberian ham
Volatilome
Origin
Commercial category
Discrimination
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Abstract
Cured Iberian ham is a worldwide known product due to its high quality. Nowadays, there is a lack of official analytical methods to differentiate geographical origin (Protected Designation of Origin (PDO)), the curing plant where hams are processed, as well as the commercial categories in each industry. In this work, volatile organic compounds (VOCs) extracted from 998 Iberian hams were analyzed by Gas Chromatography coupled to Ion Mobility Spectrometry (GC-IMS), using the subsequent information to design discriminant models. High classif ication percentages were obtained for the three objectives of the study: 98,5% for geographical origin, 93,5% and 100% for curing plant discrimination, and an average rate of 84,5% for commercial category discrimination in the seven curing plants subject to study. Differences obtained in discriminant models are probably due to the complexity of Iberian ham manufacturing process. In this sense, the results obtained in the present study suggest slight differences between geographical areas and industries evaluated, even covered by the same PDO. Also, those differences may be related to the existing variability in terms of breed purity and feeding regime of Iberian pigs, which are two of the main determining factors of ham aroma.
URI
http://hdl.handle.net/10396/35337
Fuente
Rodríguez-Hernández, P., Martín-Gómez, A., Cardador, M. J., Amaro, M. A., Arce, L., & Rodríguez-Estévez, V. (2023). Geographical origin, curing plant and commercial category discrimination of cured Iberian hams through volatilome analysis at industry level. Meat science, 195, 108989.
Versión del Editor
https://doi.org/10.1016/j.meatsci.2022.108989
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