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Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy

Near-infrared (NIR) spectroscopy is a non-destructive, low cost and fast measurement technique that is required to improve the meat texture quality prediction. In this research, visible/NIR spectroscopy has been used for the prediction of raw chicken meat texture from different types of chickens by...

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Main Authors: Abdul Rahim, Herlina, Ghazali, Rashidah, Sahlan, Shafishuhaza, Shikh Maidin, Mashitah
Format: Article
Language:English
Published: Penerbit Universiti Teknologi Malaysia 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30412/1/Prediction%20of%20texture%20of%20raw%20poultry%20meat%20by%20visible%20and%20near.pdf
http://psasir.upm.edu.my/id/eprint/30412/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/issue/view/116
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spelling my.upm.eprints.304122015-09-18T02:15:38Z http://psasir.upm.edu.my/id/eprint/30412/ Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy Abdul Rahim, Herlina Ghazali, Rashidah Sahlan, Shafishuhaza Shikh Maidin, Mashitah Near-infrared (NIR) spectroscopy is a non-destructive, low cost and fast measurement technique that is required to improve the meat texture quality prediction. In this research, visible/NIR spectroscopy has been used for the prediction of raw chicken meat texture from different types of chickens by referring to the reference data obtained from destructive measurement using a Volodkevich Bite Jaws texture analyser. The Partial Least Squares analysis shows that the prediction accuracy is higher for the Az-Zain village organic chickens (85–95%) than for village chickens (42–68%) and broiler chickens (42–44%). The high prediction accuracy and low absorbance spectra of Az-Zain village organic chickens compared to broiler and village chickens could be correlated with the food composition of the chicken meal. Penerbit Universiti Teknologi Malaysia 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30412/1/Prediction%20of%20texture%20of%20raw%20poultry%20meat%20by%20visible%20and%20near.pdf Abdul Rahim, Herlina and Ghazali, Rashidah and Sahlan, Shafishuhaza and Shikh Maidin, Mashitah (2013) Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy. Jurnal Teknologi, 64 (5). pp. 59-62. ISSN 0127–9696; ESSN: 2180–3722 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/issue/view/116
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Near-infrared (NIR) spectroscopy is a non-destructive, low cost and fast measurement technique that is required to improve the meat texture quality prediction. In this research, visible/NIR spectroscopy has been used for the prediction of raw chicken meat texture from different types of chickens by referring to the reference data obtained from destructive measurement using a Volodkevich Bite Jaws texture analyser. The Partial Least Squares analysis shows that the prediction accuracy is higher for the Az-Zain village organic chickens (85–95%) than for village chickens (42–68%) and broiler chickens (42–44%). The high prediction accuracy and low absorbance spectra of Az-Zain village organic chickens compared to broiler and village chickens could be correlated with the food composition of the chicken meal.
format Article
author Abdul Rahim, Herlina
Ghazali, Rashidah
Sahlan, Shafishuhaza
Shikh Maidin, Mashitah
spellingShingle Abdul Rahim, Herlina
Ghazali, Rashidah
Sahlan, Shafishuhaza
Shikh Maidin, Mashitah
Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy
author_facet Abdul Rahim, Herlina
Ghazali, Rashidah
Sahlan, Shafishuhaza
Shikh Maidin, Mashitah
author_sort Abdul Rahim, Herlina
title Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy
title_short Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy
title_full Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy
title_fullStr Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy
title_full_unstemmed Prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy
title_sort prediction of texture of raw poultry meat by visible and near–infrared reflectance spetroscopy
publisher Penerbit Universiti Teknologi Malaysia
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/30412/1/Prediction%20of%20texture%20of%20raw%20poultry%20meat%20by%20visible%20and%20near.pdf
http://psasir.upm.edu.my/id/eprint/30412/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/issue/view/116
_version_ 1643830051278422016
score 13.160551

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