MarblingPredictor: A software to analyze the quality of dry-cured ham slices

Dry-cured ham is a traditional Mediterranean meat product consumed throughout the world. This product is very variable in terms of composition and consumer's acceptability is influenced by different factors, among others, visual intramuscular fat and its distribution across the slice, also known as...

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Authors: Cernadas, Eva; Fernández-Delgado, Manuel; Sirsat, Manisha; Fulladosa, Elena; Muñoz, Israel
Format: Article
Publication date:2024
Country:España
Institution:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Repository:IRTA Pubpro. Open Digital Archive
OAI Identifier:oai:repositori.irta.cat:20.500.12327/3478
Online Access:http://hdl.handle.net/20.500.12327/3478
https://doi.org/10.1016/j.meatsci.2024.109713
Access Level:Open access
Keyword:663/664
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author Cernadas, Eva
author2 Fernández-Delgado, Manuel
Sirsat, Manisha
Fulladosa, Elena
Muñoz, Israel
author2_role author
author
author
author
author_browse Cernadas, Eva
Fernández-Delgado, Manuel
Fulladosa, Elena
Muñoz, Israel
Sirsat, Manisha
author_facet Cernadas, Eva
Fernández-Delgado, Manuel
Sirsat, Manisha
Fulladosa, Elena
Muñoz, Israel
author_role author
collection IRTA Pubpro. Open Digital Archive
description Dry-cured ham is a traditional Mediterranean meat product consumed throughout the world. This product is very variable in terms of composition and consumer's acceptability is influenced by different factors, among others, visual intramuscular fat and its distribution across the slice, also known as marbling. On-line inter and intramuscular fat evaluation and marbling assessment is of interest for classification purposes at the industry. Currently, this assessment can only be performed by visual inspection and traditional sensory panels. The current work presents the software MarblingPredictor, which predicts the marbling score of the three most representative ham muscles from square regions of interest automatically extracted from a ham slice. It also estimates the rate of subcutaneous and intermuscular fat content in the ham slice. Using MarblingPredictor, the mean absolute error between the true and predicted marbling scores was 0.53, very similar to the error of sensory panellist, which is 0.50. The correlation between the computer and sensory scores is 0.68, which means a moderate to good recognition. This result underscores the relevance of this tool for its application in the ham industry for quality control and categorization purposes. As part of this work, we also present the dataset HamMarbling of annotated ham slices used to train and test the software with the marbling scores provided by the panellists. The MarblingPredictor software and images are available from https://citius.usc.es/transferencia/software/marblingpredictor for Windows- and Linux-based systems for research purposes.
eu_rights_str_mv openAccess
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institution Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
instname_str Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
network_acronym_str ES
network_name_str España
oai_identifier_str oai:repositori.irta.cat:20.500.12327/3478
publishDate 2024
publishDateSort 2024
publisher Elsevier
publisherStr Elsevier
reponame_str IRTA Pubpro. Open Digital Archive
spelling MarblingPredictor: A software to analyze the quality of dry-cured ham slices Cernadas, Eva Fernández-Delgado, Manuel Sirsat, Manisha Fulladosa, Elena Muñoz, Israel 663/664 Dry-cured ham is a traditional Mediterranean meat product consumed throughout the world. This product is very variable in terms of composition and consumer's acceptability is influenced by different factors, among others, visual intramuscular fat and its distribution across the slice, also known as marbling. On-line inter and intramuscular fat evaluation and marbling assessment is of interest for classification purposes at the industry. Currently, this assessment can only be performed by visual inspection and traditional sensory panels. The current work presents the software MarblingPredictor, which predicts the marbling score of the three most representative ham muscles from square regions of interest automatically extracted from a ham slice. It also estimates the rate of subcutaneous and intermuscular fat content in the ham slice. Using MarblingPredictor, the mean absolute error between the true and predicted marbling scores was 0.53, very similar to the error of sensory panellist, which is 0.50. The correlation between the computer and sensory scores is 0.68, which means a moderate to good recognition. This result underscores the relevance of this tool for its application in the ham industry for quality control and categorization purposes. As part of this work, we also present the dataset HamMarbling of annotated ham slices used to train and test the software with the marbling scores provided by the panellists. The MarblingPredictor software and images are available from https://citius.usc.es/transferencia/software/marblingpredictor for Windows- and Linux-based systems for research purposes. This work has received financial support from the Xunta de Galicia (Centro singular de investigación de Galicia, accreditation 2020–2023) and the European Union (European Regional Development Fund—ERDF), Project ED431G-2019/04. IRTA's contribution was also funded by the CCLabel project (RTI-2018- 096883-R-C41) and the CERCA programme from Generalitat de Catalunya. info:eu-repo/semantics/publishedVersion Elsevier http://hdl.handle.net/20.500.12327/3478 https://doi.org/10.1016/j.meatsci.2024.109713
spellingShingle MarblingPredictor: A software to analyze the quality of dry-cured ham slices
Cernadas, Eva
663/664
title MarblingPredictor: A software to analyze the quality of dry-cured ham slices
title_full MarblingPredictor: A software to analyze the quality of dry-cured ham slices
title_fullStr MarblingPredictor: A software to analyze the quality of dry-cured ham slices
title_full_unstemmed MarblingPredictor: A software to analyze the quality of dry-cured ham slices
title_short MarblingPredictor: A software to analyze the quality of dry-cured ham slices
title_sort MarblingPredictor: A software to analyze the quality of dry-cured ham slices
topic 663/664
topic_facet 663/664
url http://hdl.handle.net/20.500.12327/3478
https://doi.org/10.1016/j.meatsci.2024.109713