The potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for Halal authentication analysis
Objective: The objective of this research was to assess the suitability of FTIR spectroscopy coupled with multivariate analysis of partial least square regression (PLSR) along with pattern recognition technique of principal component analysis (PCA) for rapid quantitative and qualitative (identifica...
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| Format: | Article |
| Language: | English |
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Network for the Veterinarians of Bangladesh
2018-09-01
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| Series: | Journal of Advanced Veterinary and Animal Research |
| Subjects: | |
| Online Access: | http://www.ejmanager.com/fulltextpdf.php?mno=301143 |
| _version_ | 1819262055683719168 |
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| author | W.S. Rahayu S. Martono Sudjadi Abdul Rohman |
| author_facet | W.S. Rahayu S. Martono Sudjadi Abdul Rohman |
| author_sort | W.S. Rahayu |
| collection | DOAJ |
| description | Objective: The objective of this research was to assess the suitability of FTIR spectroscopy coupled with multivariate analysis of partial least square regression (PLSR) along with pattern recognition technique of principal component analysis (PCA) for rapid quantitative and qualitative (identification) analysis of dog meat in beef meatball formulation.
Materials and Methods: The lipid fraction of meatball was obtained by employing two different extraction techniques, namely Bligh-Dyer and Folch method. FTIR spectral bands correlated with beef fat, pork fat, chicken fat and rat fat were measured, interpreted, and qualitatively analyzed. The small variations among spectra were exploited as a basis tools to differentiate between dog fat and other animal fats.
Results: PCA at combined wavenumber regions of 1700-700 cm-1 was capable of identifying dog meat in meatball. These wavenumbers were also used for quantitative analysis of dog meat in meatball using PLSR model. Based on statistical parameters used, namely R2, RMSEC and RMSEP, Folch extraction method offered higher R2 and lower RMSEC and RMSEP than Bligh-Dyer. PCA is succesfully applied for classification between meatball containing dog meat and other meats.
Conclusion: FTIR spectroscopy coupled with multivariate analyses of PLSR and PCA was effective means for rapid screening of dog meat in meatball products. [J Adv Vet Anim Res 2018; 5(3.000): 307-314] |
| first_indexed | 2024-12-23T19:51:37Z |
| format | Article |
| id | doaj.art-b67166e49baf4c428b1db6d710fc4231 |
| institution | Directory Open Access Journal |
| issn | 2311-7710 |
| language | English |
| last_indexed | 2024-12-23T19:51:37Z |
| publishDate | 2018-09-01 |
| publisher | Network for the Veterinarians of Bangladesh |
| record_format | Article |
| series | Journal of Advanced Veterinary and Animal Research |
| spelling | doaj.art-b67166e49baf4c428b1db6d710fc42312022-12-21T17:33:23ZengNetwork for the Veterinarians of BangladeshJournal of Advanced Veterinary and Animal Research2311-77102018-09-015330731410.5455/javar.2018.e281301143The potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for Halal authentication analysisW.S. Rahayu0S. Martono1Sudjadi2Abdul Rohman3Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281 Indonesia Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281 Indonesia Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281 Indonesia Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281 Indonesia.Objective: The objective of this research was to assess the suitability of FTIR spectroscopy coupled with multivariate analysis of partial least square regression (PLSR) along with pattern recognition technique of principal component analysis (PCA) for rapid quantitative and qualitative (identification) analysis of dog meat in beef meatball formulation. Materials and Methods: The lipid fraction of meatball was obtained by employing two different extraction techniques, namely Bligh-Dyer and Folch method. FTIR spectral bands correlated with beef fat, pork fat, chicken fat and rat fat were measured, interpreted, and qualitatively analyzed. The small variations among spectra were exploited as a basis tools to differentiate between dog fat and other animal fats. Results: PCA at combined wavenumber regions of 1700-700 cm-1 was capable of identifying dog meat in meatball. These wavenumbers were also used for quantitative analysis of dog meat in meatball using PLSR model. Based on statistical parameters used, namely R2, RMSEC and RMSEP, Folch extraction method offered higher R2 and lower RMSEC and RMSEP than Bligh-Dyer. PCA is succesfully applied for classification between meatball containing dog meat and other meats. Conclusion: FTIR spectroscopy coupled with multivariate analyses of PLSR and PCA was effective means for rapid screening of dog meat in meatball products. [J Adv Vet Anim Res 2018; 5(3.000): 307-314]http://www.ejmanager.com/fulltextpdf.php?mno=301143Bligh-Dryer; Chemometrics; Dog meat; Folch; FTIR spectroscopy |
| spellingShingle | W.S. Rahayu S. Martono Sudjadi Abdul Rohman The potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for Halal authentication analysis Journal of Advanced Veterinary and Animal Research Bligh-Dryer; Chemometrics; Dog meat; Folch; FTIR spectroscopy |
| title | The potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for Halal authentication analysis |
| title_full | The potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for Halal authentication analysis |
| title_fullStr | The potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for Halal authentication analysis |
| title_full_unstemmed | The potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for Halal authentication analysis |
| title_short | The potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for Halal authentication analysis |
| title_sort | potential use of infrared spectroscopy and multivariate analysis for differentiation of beef meatball from dog meat for halal authentication analysis |
| topic | Bligh-Dryer; Chemometrics; Dog meat; Folch; FTIR spectroscopy |
| url | http://www.ejmanager.com/fulltextpdf.php?mno=301143 |
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