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Can In-Line Iodine Value Predictions (NitFom(TM)) Be Used for Early Classification of Pork Belly Firmness?

Commercial technologies for assessing meat quality may be useful for performing early in-line belly firmness classification. This study used 207 pork carcasses to measure predicted iodine value (IV) at the clear plate region of the carcass with an in-line near-infrared probe (NitFom(TM)), calculated...

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Autores principales: Lam, Stephanie, Uttaro, Bethany, Bohrer, Benjamin M., Duarte, Marcio, Juárez, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774772/
https://www.ncbi.nlm.nih.gov/pubmed/35053880
http://dx.doi.org/10.3390/foods11020148
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author Lam, Stephanie
Uttaro, Bethany
Bohrer, Benjamin M.
Duarte, Marcio
Juárez, Manuel
author_facet Lam, Stephanie
Uttaro, Bethany
Bohrer, Benjamin M.
Duarte, Marcio
Juárez, Manuel
author_sort Lam, Stephanie
collection PubMed
description Commercial technologies for assessing meat quality may be useful for performing early in-line belly firmness classification. This study used 207 pork carcasses to measure predicted iodine value (IV) at the clear plate region of the carcass with an in-line near-infrared probe (NitFom(TM)), calculated IV of belly fat using wet chemistry methods, determined the belly bend angle (an objective method to measure belly firmness), and took dimensional belly measurements. A regression analysis revealed that NitFom(TM) predicted IV (R(2) = 0.40) and belly fat calculated IV (R(2) = 0.52) separately contributed to the partial variation of belly bend angle. By testing different NitFom(TM) IV classification thresholds, classifying soft bellies in the 15th percentile resulted in 5.31% false negatives, 5.31% false positives, and 89.38% correctly classified soft and firm bellies. Similar results were observed when the classification was based on belly fat IV calculated from chemically analyzed fatty acid composition. By reducing the level of stringency on the percentile of the classification threshold, an increase in false positives and decrease in false negatives was observed. This study suggests the IV predicted using the NitFom(TM) may be useful for early in-line presorting of carcasses based on expected belly firmness, which could optimize profitability by allocating carcasses to specific cutout specifications.
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spelling pubmed-87747722022-01-21 Can In-Line Iodine Value Predictions (NitFom(TM)) Be Used for Early Classification of Pork Belly Firmness? Lam, Stephanie Uttaro, Bethany Bohrer, Benjamin M. Duarte, Marcio Juárez, Manuel Foods Communication Commercial technologies for assessing meat quality may be useful for performing early in-line belly firmness classification. This study used 207 pork carcasses to measure predicted iodine value (IV) at the clear plate region of the carcass with an in-line near-infrared probe (NitFom(TM)), calculated IV of belly fat using wet chemistry methods, determined the belly bend angle (an objective method to measure belly firmness), and took dimensional belly measurements. A regression analysis revealed that NitFom(TM) predicted IV (R(2) = 0.40) and belly fat calculated IV (R(2) = 0.52) separately contributed to the partial variation of belly bend angle. By testing different NitFom(TM) IV classification thresholds, classifying soft bellies in the 15th percentile resulted in 5.31% false negatives, 5.31% false positives, and 89.38% correctly classified soft and firm bellies. Similar results were observed when the classification was based on belly fat IV calculated from chemically analyzed fatty acid composition. By reducing the level of stringency on the percentile of the classification threshold, an increase in false positives and decrease in false negatives was observed. This study suggests the IV predicted using the NitFom(TM) may be useful for early in-line presorting of carcasses based on expected belly firmness, which could optimize profitability by allocating carcasses to specific cutout specifications. MDPI 2022-01-06 /pmc/articles/PMC8774772/ /pubmed/35053880 http://dx.doi.org/10.3390/foods11020148 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Lam, Stephanie
Uttaro, Bethany
Bohrer, Benjamin M.
Duarte, Marcio
Juárez, Manuel
Can In-Line Iodine Value Predictions (NitFom(TM)) Be Used for Early Classification of Pork Belly Firmness?
title Can In-Line Iodine Value Predictions (NitFom(TM)) Be Used for Early Classification of Pork Belly Firmness?
title_full Can In-Line Iodine Value Predictions (NitFom(TM)) Be Used for Early Classification of Pork Belly Firmness?
title_fullStr Can In-Line Iodine Value Predictions (NitFom(TM)) Be Used for Early Classification of Pork Belly Firmness?
title_full_unstemmed Can In-Line Iodine Value Predictions (NitFom(TM)) Be Used for Early Classification of Pork Belly Firmness?
title_short Can In-Line Iodine Value Predictions (NitFom(TM)) Be Used for Early Classification of Pork Belly Firmness?
title_sort can in-line iodine value predictions (nitfom(tm)) be used for early classification of pork belly firmness?
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774772/
https://www.ncbi.nlm.nih.gov/pubmed/35053880
http://dx.doi.org/10.3390/foods11020148
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