Principal Component Analysis of SERS-Based Chicken, Beef and Pork Fats
dc.authorscopusid | 57878317400 | |
dc.authorscopusid | 16175247200 | |
dc.authorscopusid | 55232461000 | |
dc.authorscopusid | 44462369100 | |
dc.authorscopusid | 55387342800 | |
dc.authorscopusid | 55837252300 | |
dc.contributor.author | Hamdan M.N. | |
dc.contributor.author | Mansor W. | |
dc.contributor.author | Radzol A.R.M. | |
dc.contributor.author | Umut I. | |
dc.contributor.author | Mahmud A.R. | |
dc.contributor.author | Kutty S.B. | |
dc.date.accessioned | 2024-06-12T10:26:23Z | |
dc.date.available | 2024-06-12T10:26:23Z | |
dc.date.issued | 2022 | |
dc.description.abstract | —The issues of non-halal ingredients in food products make it important to investigate the technique to cluster the animal fats. Combination of Surface Enhanced Raman Spectroscopy (SERS) and Principal Components Analysis (PCA) has not been investigated in differentiating chicken, beef and pork fats. This paper describes the analysis of SERS based chicken, beef and pork fats in the form of solid and liquid using PCA. The Raman spectra of raw fats, dried fats and oil data were acquired using SERS, filtered using a high-pass filter and then normalized. The features of the chicken, beef and pork fats were selected using three PCA selection criteria. It was found that the data dimension of these fat samples can be reduced up to 99.75% and the cluster of the chicken, beef and pork fats can be observed clearly in the oil compared to the raw and dried fats. © 2022 IJETAE Publication House. All rights reserved. | en_US |
dc.description.sponsorship | 046/2020, 600-RMC/MyRA 5/3/LESTARI | en_US |
dc.description.sponsorship | This work was supported by UiTMMyRA LESTARI grant, Malaysia (600-RMC/MyRA 5/3/LESTARI (046/2020)). The authors would like to thank Research Management Centre, UniversitiTeknologi MARA, Shah Alam for financial support, Microwave Research Institute, and School of Electrical Engineering, College of Electrical Engineering, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia for their support and providing facilities. | en_US |
dc.identifier.doi | 10.46338/ijetae0822_18 | |
dc.identifier.endpage | 151 | en_US |
dc.identifier.issn | 2250-2459 | |
dc.identifier.issue | 8 | en_US |
dc.identifier.scopus | 2-s2.0-85137382730 | en_US |
dc.identifier.scopusquality | Q4 | en_US |
dc.identifier.startpage | 144 | en_US |
dc.identifier.uri | https://doi.org/10.46338/ijetae0822_18 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14551/16825 | |
dc.identifier.volume | 12 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | IJETAE Publication House | en_US |
dc.relation.ispartof | International Journal of Emerging Technology and Advanced Engineering | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Animal Fats; Principal Component Analysis; Raman Spectrum; Surface Enhanced Raman Spectroscopy | en_US |
dc.title | Principal Component Analysis of SERS-Based Chicken, Beef and Pork Fats | en_US |
dc.type | Article | en_US |