The use of software packages of R factoextra and FactoMineR and their application in principal component analysis for authentication of oils

  • Irnawati Irnawati Fakultas Farmasi Universitas Halu Oleo Kendari, Sulawesi Tenggara 93232 Indonesia
  • Florentinus Dika Octa Riswanto Fakultas Farmasi, Universitas Sanata Dharma, Kampus III Paingan, Maguwoharjo, Depok, Sleman, Yogyakarta 55282 Indonesia
  • Sugeng Riyanto Departemen Kimia Farmasi, Fakultas Farmasi, Universitas Gadjah Mada, Yogyakarta 55281 Indonesia
  • Sudibyo Martono Departemen Kimia Farmasi, Fakultas Farmasi, Universitas Gadjah Mada, Yogyakarta 55281 Indonesia
  • Abdul Rohman Departemen Kimia Farmasi, Fakultas Farmasi, Universitas Gadjah Mada, Yogyakarta 55281 Indonesia
DOI: https://doi.org/10.22146/ijcpa.482
Keywords: adulteration, principal component analysis, oils, R software

Abstract

Several oils have been reported as nutritional source and providing potential benefits for human life. Oil adulteration becomes major issue due to economical attempt to reduce the price of high cost oils. The employment of FTIR spectroscopy combined with Principal Component Analysis (PCA) technique can be applied in oils authentication study. Two of R software packages namely factoextra and FactoMineR were exploited to perform PCA for analysis sixteen various oils from market in Yogyakarta, Indonesia. The results showed that PCA model have been successfully generated using these two statistical packages. Individual plot, variable plot, and biplot were presented to visualize the PCA model. It was also proved that extra virgin olive oil (EVOO) has similar chemical characteristics to palm oil (PO) as reported in the previous study.

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Published
2021-02-14
How to Cite
Irnawati, I., Riswanto, F. D. O., Riyanto, S., Martono, S., & Rohman, A. (2021). The use of software packages of R factoextra and FactoMineR and their application in principal component analysis for authentication of oils. Indonesian Journal of Chemometrics and Pharmaceutical Analysis, 1(1), 1-10. https://doi.org/10.22146/ijcpa.482
Issue
Vol 1 No 1 (2021)
Section
Tutorial Article

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