Journal
FOOD ANALYTICAL METHODS
Volume 4, Issue 2, Pages 155-162Publisher
SPRINGER
DOI: 10.1007/s12161-010-9156-2
Keywords
FTIR Spectroscopy; Ternary Mixtures; Virgin Coconut Oil; Extra Virgin Olive Oil; Multivariate Calibration
Categories
Funding
- Ministry of National Education, Republic of Indonesia
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The aim of this study was to investigate the feasibility of Fourier-transform infrared (FTIR) spectroscopy combined with multivariate calibrations of partial least square (PLS) and principle component regression (PCR) for analysis of virgin coconut oil (VCO) in the ternary mixture with palm oil (PO) and olive oil, and for analysis of extra virgin olive oil (EVOO) mixed with soybean oil (SO) and corn oil (CO). The spectra of individual oils and their blends with certain concentrations were scanned using horizontal attenuated total reflectance accessory at mid-infrared region of 4,000-650 cm(-1). The optimal frequency regions selected for calibration models were based on its ability to give the highest values of coefficient of determination (R (2)) and the lowest values of root mean standard error of calibration (RMSEC). PLS was slightly better for quantitative analysis of VCO and EVOO compared with PCR. VCO in ternary mixtures is successfully determined at frequency region of 1,200-1,000 using second derivative FTIR spectra with R (2) and RMSEC values of 0.999 and 0.200, respectively. Meanwhile, EVOO is best determined at 1,200-1,000 using first derivative FTIR spectra with R (2) and RMSEC values of 0.999 and 0.975, respectively. The results showed that FTIR spectroscopy offers accurate and reliable technique for quantitative analysis of VCO and EVOO in ternary systems. In addition, the developed method can be used for the monitoring of VCO and EVOO adulteration with cheaper oils like PO in VCO as well as SO and CO in EVOO.
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