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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Penerbit Universiti Teknologi Malaysia
2013
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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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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 |
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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. |
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Abdul Rahim, Herlina Ghazali, Rashidah Sahlan, Shafishuhaza Shikh Maidin, Mashitah |
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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 |
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1643830051278422016 |