2021
DOI: 10.1007/s12161-021-02046-9
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Detection of Lard Adulteration in Wheat Biscuits Using Chemometrics-Assisted GCMS and Random Forest

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Cited by 13 publications
(5 citation statements)
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“…The study by Azizan et al (2021) was conducted to detect lard adulterated wheat biscuits using chemometrics and machine learning-assisted GCMS. Oil was extracted from the laboratory-prepared wheat biscuits using the Soxhlet extraction method, converted to fatty acid methyl ester and analysed using GCMS.…”
Section: Gas Chromatographymentioning
confidence: 99%
“…The study by Azizan et al (2021) was conducted to detect lard adulterated wheat biscuits using chemometrics and machine learning-assisted GCMS. Oil was extracted from the laboratory-prepared wheat biscuits using the Soxhlet extraction method, converted to fatty acid methyl ester and analysed using GCMS.…”
Section: Gas Chromatographymentioning
confidence: 99%
“…Cluster analysis is used to divide groups based on their equations [ 54 , 55 ]. In metabolomic or lipidomic analyses, this method is used to group samples based on predetermined metabolites or lipids [ 56 ], according to the statistical analysis conducted [ 57 ]. LDA, on the other hand, is able to distinguish different types of meat based on their metabolite or lipid profiles [ 58 ], such as differentiating between domestic pork species based on their lipid profiles [ 59 ].…”
Section: Chemometricsmentioning
confidence: 99%
“…One thing that is starting to be developed is a rapid testing tool. In Indonesia, immunochromatography-based and fatty acid content-based test kits have been circulating for pork contamination (Al-Kahtani et al, 2014;Azir et al, 2017;Azizan et al, 2021). However, it is necessary to test the detection capabilities of identification tools circulating in Indonesia as a reference for testing the halalness of processed meat-based food products.…”
Section: Introductionmentioning
confidence: 99%