Rohman Abdul, Che Man Yaakob B
Halal Research Group, Gadjah Mada University, Yogyakarta 55281, Indonesia; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta 55281, Indonesia.
Halal Products Research Institute, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia; Department of Food Technology, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Food Chem. 2011 Nov 15;129(2):583-588. doi: 10.1016/j.foodchem.2011.04.070. Epub 2011 Apr 29.
Currently, the authentication of virgin coconut oil (VCO) has become very important due to the possible adulteration of VCO with cheaper plant oils such as corn (CO) and sunflower (SFO) oils. Methods involving Fourier transform mid infrared (FT-MIR) spectroscopy combined with chemometrics techniques (partial least square (PLS) and discriminant analysis (DA)) were developed for quantification and classification of CO and SFO in VCO. MIR spectra of oil samples were recorded at frequency regions of 4000-650cm on horizontal attenuated total reflectance (HATR) attachment of FTIR. DA can successfully classify VCO and that adulterated with CO and SFO using 10 principal components. Furthermore, PLS model correlates the actual and FTIR estimated values of oil adulterants (CO and SFO) with coefficient of determination (R) of 0.999.
目前，由于初榨椰子油（VCO）可能被较便宜的植物油如玉米油（CO）和葵花籽油（SFO）掺假，VCO的认证变得非常重要。开发了结合化学计量学技术（偏最小二乘法（PLS）和判别分析（DA））的傅里叶变换中红外（FT-MIR）光谱法，用于VCO中CO和SFO的定量和分类。在傅里叶变换红外光谱仪（FTIR）的水平衰减全反射（HATR）附件上，于4000 - 650cm频率区域记录油样的中红外光谱。判别分析（DA）使用10个主成分能够成功区分VCO以及掺有CO和SFO的VCO。此外，偏最小二乘法（PLS）模型将油掺假物（CO和SFO）的实际值与傅里叶变换红外光谱（FTIR）估计值相关联，决定系数（R）为0.999。
