Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources
This study authenticated fish feed sources and determined lard adulteration using dataset pre-processing, principal component analysis (PCA), discriminant analysis (DA) and partial least square regression (PLSR) on 19 triacylglycerols (TAGs) and 16 thermal properties (TPs). At cumulative variability...
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my.upm.eprints.1015592023-10-05T17:21:15Z http://psasir.upm.edu.my/id/eprint/101559/ Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources Idris, Mohamed Haniff Hanafy Abdullah Sani, Muhamad Shirwan Mohd Hashim, Amalia Mohd Zaki, Nor Nadiha Abdul Manaf, Yanty Noorzianna Mohd Desa, Mohd Nasir Arshad, Syariena Yuswan, Mohd Hafis Hassan, Mohd Sukri Yusof, Yus Aniza Kamaruddin, Mohd Salleh Mustafa, Shuhaimi This study authenticated fish feed sources and determined lard adulteration using dataset pre-processing, principal component analysis (PCA), discriminant analysis (DA) and partial least square regression (PLSR) on 19 triacylglycerols (TAGs) and 16 thermal properties (TPs). At cumulative variability (90.625%) and Keiser-Meyer Olkin (KMO) value (0.811), the PCA identified 10 TAGs and 3 TPs with strong factor loading. The dioleoyl-1-palmitoyl glycerol (POO), dipalmitoyl-3-oleoyl glycerol (PPO) and dipalmitoyl-1-linoleoyl (PPL) characterized fish feeds containing palm oil while dilinoleoyl-1-oleoyl glycerol (OLL), dilinoleoyl-1-palmitoyl (PLL), dioleoyl-3-linoleoyl glycerol (OOL), initial cooling temperature (ICT), palmitoyl-oleoyl-linoleoyl glycerol (POL), palmitoyl-stearoyl-oleoyl glycerol (PSO) and final heating temperature (FHT) characterized lard-containing fish feeds. The DA had successfully classified the fish feed sources and selected the PPL, POL, PPO, OOL, ICT, PLL, FHT, POO and OLL as the most influential biomarkers for the authentication purpose. The Z-test result (p>0.05) indicated that the PLSR could determine the percentage of lard adulteration in fish feed. Hence, incorporating multivariate and instrumental analyses could authenticate the fish feed sources. HH Publisher 2022-06-29 Article PeerReviewed Idris, Mohamed Haniff Hanafy and Abdullah Sani, Muhamad Shirwan and Mohd Hashim, Amalia and Mohd Zaki, Nor Nadiha and Abdul Manaf, Yanty Noorzianna and Mohd Desa, Mohd Nasir and Arshad, Syariena and Yuswan, Mohd Hafis and Hassan, Mohd Sukri and Yusof, Yus Aniza and Kamaruddin, Mohd Salleh and Mustafa, Shuhaimi (2022) Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources. Journal of Halal Industry & Services, 5 (1). pp. 1-36. ISSN 2637-0891 https://journals.hh-publisher.com/index.php/JHIS/article/view/514 10.36877/jhis.a0000293 |
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This study authenticated fish feed sources and determined lard adulteration using dataset pre-processing, principal component analysis (PCA), discriminant analysis (DA) and partial least square regression (PLSR) on 19 triacylglycerols (TAGs) and 16 thermal properties (TPs). At cumulative variability (90.625%) and Keiser-Meyer Olkin (KMO) value (0.811), the PCA identified 10 TAGs and 3 TPs with strong factor loading. The dioleoyl-1-palmitoyl glycerol (POO), dipalmitoyl-3-oleoyl glycerol (PPO) and dipalmitoyl-1-linoleoyl (PPL) characterized fish feeds containing palm oil while dilinoleoyl-1-oleoyl glycerol (OLL), dilinoleoyl-1-palmitoyl (PLL), dioleoyl-3-linoleoyl glycerol (OOL), initial cooling temperature (ICT), palmitoyl-oleoyl-linoleoyl glycerol (POL), palmitoyl-stearoyl-oleoyl glycerol (PSO) and final heating temperature (FHT) characterized lard-containing fish feeds. The DA had successfully classified the fish feed sources and selected the PPL, POL, PPO, OOL, ICT, PLL, FHT, POO and OLL as the most influential biomarkers for the authentication purpose. The Z-test result (p>0.05) indicated that the PLSR could determine the percentage of lard adulteration in fish feed. Hence, incorporating multivariate and instrumental analyses could authenticate the fish feed sources. |
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Article |
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Idris, Mohamed Haniff Hanafy Abdullah Sani, Muhamad Shirwan Mohd Hashim, Amalia Mohd Zaki, Nor Nadiha Abdul Manaf, Yanty Noorzianna Mohd Desa, Mohd Nasir Arshad, Syariena Yuswan, Mohd Hafis Hassan, Mohd Sukri Yusof, Yus Aniza Kamaruddin, Mohd Salleh Mustafa, Shuhaimi |
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Idris, Mohamed Haniff Hanafy Abdullah Sani, Muhamad Shirwan Mohd Hashim, Amalia Mohd Zaki, Nor Nadiha Abdul Manaf, Yanty Noorzianna Mohd Desa, Mohd Nasir Arshad, Syariena Yuswan, Mohd Hafis Hassan, Mohd Sukri Yusof, Yus Aniza Kamaruddin, Mohd Salleh Mustafa, Shuhaimi Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources |
author_facet |
Idris, Mohamed Haniff Hanafy Abdullah Sani, Muhamad Shirwan Mohd Hashim, Amalia Mohd Zaki, Nor Nadiha Abdul Manaf, Yanty Noorzianna Mohd Desa, Mohd Nasir Arshad, Syariena Yuswan, Mohd Hafis Hassan, Mohd Sukri Yusof, Yus Aniza Kamaruddin, Mohd Salleh Mustafa, Shuhaimi |
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Idris, Mohamed Haniff Hanafy |
title |
Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources |
title_short |
Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources |
title_full |
Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources |
title_fullStr |
Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources |
title_full_unstemmed |
Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources |
title_sort |
forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources |
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HH Publisher |
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2022 |
url |
http://psasir.upm.edu.my/id/eprint/101559/ https://journals.hh-publisher.com/index.php/JHIS/article/view/514 |
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1781706699474731008 |
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13.209306 |