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Forensic feed strategy: incorporation of multivariate and instrumental analyses for authentication of fish feed sources


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


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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Additional Metadata

Item Type: Article
DOI Number: https://doi.org/10.36877/jhis.a0000293
Publisher: HH Publisher
Keywords: Triacylglycerol; Thermal properties; HPLC-RID; DSC; Principal component analysis; Discriminant analysis; Partial least square regression
Depositing User: Ms. Che Wa Zakaria
Date Deposited: 05 Oct 2023 17:21
Last Modified: 05 Oct 2023 17:21
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.36877/jhis.a0000293
URI: http://psasir.upm.edu.my/id/eprint/101559
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