Prediction of fatty acid composition in Camellia oleifera oil by near infrared transmittance spectroscopy (NITS)

Under the serious circumstances of Camellia oleifera adulteration, the accurate examination for quality trait of C. oleifera oil is extremely urgent. For rapid determination of FA composition in C. oleifera oil, the feasibility of NITS was first studied. The quantitative models for FA were built based on PLS regression. NITS spectra is able to accurately predict for oleic, linoleic, and palmitic acids (Rcv > 0.844, R2 > 0.886). Rcv are 0.91987,...