Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy.
Meatball is one of the favorite foods in Indonesia. The adulteration of pork in beef meatball is frequently occurring. This study was aimed to develop a fast and non destructive technique for the detection and quantification of pork in beef meatball using Fourier transform infrared (FTIR) spectrosco...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/24065/ http://psasir.upm.edu.my/id/eprint/24065/1/Analysis%20of%20pork%20adulteration%20in%20beef%20meatball%20using%20Fourier%20transform%20infrared.pdf |
| _version_ | 1848844932555472896 |
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| author | Abdul Rohman, Sismindari, Che Man, Yaakob Erwanto, Yuny |
| author_facet | Abdul Rohman, Sismindari, Che Man, Yaakob Erwanto, Yuny |
| author_sort | Abdul Rohman, |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Meatball is one of the favorite foods in Indonesia. The adulteration of pork in beef meatball is frequently occurring. This study was aimed to develop a fast and non destructive technique for the detection and quantification of pork in beef meatball using Fourier transform infrared (FTIR) spectroscopy and partial least square (PLS) calibration. The spectral bands associated with pork fat (PF), beef fat (BF), and their mixtures in meatball formulation were scanned, interpreted, and identified by relating them to those spectroscopically representative to pure PF and BF. For quantitative analysis, PLS regression was used to develop a calibration model at the selected fingerprint regions of 1200–1000 cm−1. The equation obtained for the relationship between actual PF value and FTIR predicted values in PLS calibration model was y = 0.999x + 0.004, with coefficient of determination (R2) and root mean square error of calibration are 0.999 and 0.442, respectively. The PLS calibration model was subsequently used for the prediction of independent samples using laboratory made meatball samples containing the mixtures of BF and PF. Using 4 principal components, root mean square error of prediction is 0.742. The results showed that FTIR spectroscopy can be used for the detection and quantification of pork in beef meatball formulation for Halal verification purposes. |
| first_indexed | 2025-11-15T08:38:47Z |
| format | Article |
| id | upm-24065 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:38:47Z |
| publishDate | 2011 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-240652016-02-10T02:49:22Z http://psasir.upm.edu.my/id/eprint/24065/ Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. Abdul Rohman, Sismindari, Che Man, Yaakob Erwanto, Yuny Meatball is one of the favorite foods in Indonesia. The adulteration of pork in beef meatball is frequently occurring. This study was aimed to develop a fast and non destructive technique for the detection and quantification of pork in beef meatball using Fourier transform infrared (FTIR) spectroscopy and partial least square (PLS) calibration. The spectral bands associated with pork fat (PF), beef fat (BF), and their mixtures in meatball formulation were scanned, interpreted, and identified by relating them to those spectroscopically representative to pure PF and BF. For quantitative analysis, PLS regression was used to develop a calibration model at the selected fingerprint regions of 1200–1000 cm−1. The equation obtained for the relationship between actual PF value and FTIR predicted values in PLS calibration model was y = 0.999x + 0.004, with coefficient of determination (R2) and root mean square error of calibration are 0.999 and 0.442, respectively. The PLS calibration model was subsequently used for the prediction of independent samples using laboratory made meatball samples containing the mixtures of BF and PF. Using 4 principal components, root mean square error of prediction is 0.742. The results showed that FTIR spectroscopy can be used for the detection and quantification of pork in beef meatball formulation for Halal verification purposes. Elsevier 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/24065/1/Analysis%20of%20pork%20adulteration%20in%20beef%20meatball%20using%20Fourier%20transform%20infrared.pdf Abdul Rohman, and Sismindari, and Che Man, Yaakob and Erwanto, Yuny (2011) Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. Meat Science, 88 (1). pp. 91-95. ISSN 0309-1740 http://dx.doi.org/10.1016/j.meatsci.2010.12.007 10.1016/j.meatsci.2010.12.007 |
| spellingShingle | Abdul Rohman, Sismindari, Che Man, Yaakob Erwanto, Yuny Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. |
| title | Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. |
| title_full | Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. |
| title_fullStr | Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. |
| title_full_unstemmed | Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. |
| title_short | Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. |
| title_sort | analysis of pork adulteration in beef meatball using fourier transform infrared (ftir) spectroscopy. |
| url | http://psasir.upm.edu.my/id/eprint/24065/ http://psasir.upm.edu.my/id/eprint/24065/ http://psasir.upm.edu.my/id/eprint/24065/ http://psasir.upm.edu.my/id/eprint/24065/1/Analysis%20of%20pork%20adulteration%20in%20beef%20meatball%20using%20Fourier%20transform%20infrared.pdf |