Preliminary Study On Classification of Raw Bovine’s Milk Using ATR-FTIR Coupled with PCA From Peninsular Malaysia

Ketty G.S.L., Khairunnisak M., Faridah I., Roosnoor F.H., Izwan I., Norakmar I., Marni S., Kamaliah G., Falizah I. And Saipul B.A.R.

Ketty G.S.L., Khairunnisak M., Faridah I., Roosnoor F.H., Izwan I., Norakmar I., Marni S., Kamaliah G., Falizah I. And Saipul B.A.R.

A classification of raw bovine?s milk samples according to their geographical origin in Peninsular Malaysia by Makmal Kesihatan Awam Veterinar, Department of Veterinary Services Malaysia (DVS). Six hundred bovine milk samples were collected from Perlis, Kedah, Perak, Selangor, Pahang, Negeri Sembilan, Melaka and Johor states by 26 milk collecting centres under DVS. This study was carried out directly using attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy method coupled with a multivariate principal component analysis (PCA). The spectra generated by ATR-FTIR were analysed and regions of interest were found in between 3851.651 cm-1 until 2700.819 cm-1 and 2419.173 cm-1 until 977.368 cm-1. The absorbance and wavenumber data of the regions were then analysed using PCA and the results show presence of clustering towards their geographical origin. ATR-FTIR coupled with multivariate PCA has potential for classifying the geographical origin of raw milk produced within Peninsular Malaysia. This method provides a rapid and non-destructive secondary methodology in milk classification without further sample preparation.