A chemometric approach for the quantification of free fatty acids in cottonseed oil by Fourier transform infrared spectroscopy

作者：Mahesar Sarfaraz Ahmed^*; Shah Syed Nasrullah; Mahesar Abdul Waheed; Kandhro Aftab Ahmed; Khaskheli Abdul Rauf; Menghwar Pertab; Sherazi Syed Tufail Hussain

来源：International Journal of Food Properties, 2017, 20(8): 1913-1920.

DOI：10.1080/10942912.2016.1223129

• Cottonseed oil
• Free fatty acid
• FTIR
• Partial least square
• Principle component
• Regression

The aim of this study was to quantify free fatty acid in cottonseed oil (Gossypium) variety by a chemometric approach using Fourier transform infrared spectroscopy. Calibration standards were prepared by gravimetricalmixing of oleic acid (0.1-40 g/100 g) in neutralized cottonseed oil containing < 0.1% free fatty acids. Fourier transform infrared technique coupled with partial least square and principle component regression models were used to develop calibrations in the specific absorption region of carbonyl between 1690-1727 cm(-1). On the basis of regression coefficient and evaluated free fatty acids results with comparison to titration method, partial least square was found to be more accurate than principle component regression calibration model. All the analyzed cottonseed oil varieties showed high content of free fatty acids in the range of 17.1-38.5%. The results of the present study indicated that Fourier transform infrared method in combination with partial least square or principle component regression could be used as a greener alternative to the standard titration method.

• 出版日期2017