Cargando…

Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content

The increase in market demand and economic value of Canadian pork primal cuts has led to a need to assess advanced technologies capable of measuring quality traits. Fat and lean composition were measured using a Tellspec near-infrared (NIR) spectroscopy device to predict the pork belly fat iodine va...

Descripción completa

Detalles Bibliográficos
Autores principales: Lam, Stephanie, Rolland, David, Zawadski, Sophie, Wei, Xinyi, Uttaro, Bethany, Juárez, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137521/
https://www.ncbi.nlm.nih.gov/pubmed/37107424
http://dx.doi.org/10.3390/foods12081629
_version_ 1785032485033213952
author Lam, Stephanie
Rolland, David
Zawadski, Sophie
Wei, Xinyi
Uttaro, Bethany
Juárez, Manuel
author_facet Lam, Stephanie
Rolland, David
Zawadski, Sophie
Wei, Xinyi
Uttaro, Bethany
Juárez, Manuel
author_sort Lam, Stephanie
collection PubMed
description The increase in market demand and economic value of Canadian pork primal cuts has led to a need to assess advanced technologies capable of measuring quality traits. Fat and lean composition were measured using a Tellspec near-infrared (NIR) spectroscopy device to predict the pork belly fat iodine value (IV) and loin lean intramuscular fat (IMF) content in 158 pork belly primals and 419 loin chops. The calibration model revealed a 90.6% and 88.9% accuracy for the Tellspec NIR to predict saturated fatty acids (SFA) and IV, respectively, in the belly fat. The calibration model accuracy for the other belly fatty acids revealed an accuracy of 66.3–86.1%. Using the Tellspec NIR to predict loin lean IMF reported a lower accuracy for moisture (R(2) = 60) and fat % (R(2) = 40.4). This suggests that Tellspec NIR spectroscopy measures on the pork belly primal offers a cost-efficient, rapid, accurate, and non-invasive indicator of pork belly IV and could be used for the classification for specific markets.
format Online
Article
Text
id pubmed-10137521
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-101375212023-04-28 Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content Lam, Stephanie Rolland, David Zawadski, Sophie Wei, Xinyi Uttaro, Bethany Juárez, Manuel Foods Communication The increase in market demand and economic value of Canadian pork primal cuts has led to a need to assess advanced technologies capable of measuring quality traits. Fat and lean composition were measured using a Tellspec near-infrared (NIR) spectroscopy device to predict the pork belly fat iodine value (IV) and loin lean intramuscular fat (IMF) content in 158 pork belly primals and 419 loin chops. The calibration model revealed a 90.6% and 88.9% accuracy for the Tellspec NIR to predict saturated fatty acids (SFA) and IV, respectively, in the belly fat. The calibration model accuracy for the other belly fatty acids revealed an accuracy of 66.3–86.1%. Using the Tellspec NIR to predict loin lean IMF reported a lower accuracy for moisture (R(2) = 60) and fat % (R(2) = 40.4). This suggests that Tellspec NIR spectroscopy measures on the pork belly primal offers a cost-efficient, rapid, accurate, and non-invasive indicator of pork belly IV and could be used for the classification for specific markets. MDPI 2023-04-13 /pmc/articles/PMC10137521/ /pubmed/37107424 http://dx.doi.org/10.3390/foods12081629 Text en © 2023 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
Rolland, David
Zawadski, Sophie
Wei, Xinyi
Uttaro, Bethany
Juárez, Manuel
Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content
title Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content
title_full Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content
title_fullStr Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content
title_full_unstemmed Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content
title_short Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content
title_sort performance of a handheld near-infrared spectroscopy device to predict pork primal belly fat iodine value and loin lean intramuscular fat content
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137521/
https://www.ncbi.nlm.nih.gov/pubmed/37107424
http://dx.doi.org/10.3390/foods12081629
work_keys_str_mv AT lamstephanie performanceofahandheldnearinfraredspectroscopydevicetopredictporkprimalbellyfatiodinevalueandloinleanintramuscularfatcontent
AT rollanddavid performanceofahandheldnearinfraredspectroscopydevicetopredictporkprimalbellyfatiodinevalueandloinleanintramuscularfatcontent
AT zawadskisophie performanceofahandheldnearinfraredspectroscopydevicetopredictporkprimalbellyfatiodinevalueandloinleanintramuscularfatcontent
AT weixinyi performanceofahandheldnearinfraredspectroscopydevicetopredictporkprimalbellyfatiodinevalueandloinleanintramuscularfatcontent
AT uttarobethany performanceofahandheldnearinfraredspectroscopydevicetopredictporkprimalbellyfatiodinevalueandloinleanintramuscularfatcontent
AT juarezmanuel performanceofahandheldnearinfraredspectroscopydevicetopredictporkprimalbellyfatiodinevalueandloinleanintramuscularfatcontent