首页> 外文期刊>Journal of the American Oil Chemists' Society >Application of FTIR Spectroscopy for the Determination of Virgin Coconut Oil in Binary Mixtures with Olive Oil and Palm Oil
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Application of FTIR Spectroscopy for the Determination of Virgin Coconut Oil in Binary Mixtures with Olive Oil and Palm Oil

机译:FTIR光谱法在橄榄油和棕榈油二元混合物中测定初榨椰子油中的应用

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摘要

Rapid Fourier transform infrared (FTIR) spectroscopy combined with attenuated total reflectance (ATR) was applied for quantitative analysis of virgin coconut oil (VCO) in binary mixtures with olive oil (OO) and palm oil (PO). The spectral bands correlated with VCO, OO, PO; blends of VCO and OO; VCO and PO were scanned, interpreted, and identified. Two multivariate calibration methods, partial least square (PLS) and principal component regression (PCR), were used to construct the calibration models that correlate between actual and FTIR-predicted values of VCO contents in the mixtures at the FTIR spectral frequencies of 1,120–1,105 and 965–960 cm−1. The calibration models obtained were cross validated using the “leave one out” method. PLS at these frequencies showed the best calibration model, in terms of the highest coefficient of determination (R 2) and the lowest of root mean standard error of calibration (RMSEC) with R 2 = 0.9992 and RMSEC = 0.756, respectively, for VCO in mixture with OO. Meanwhile, the R 2 and RMSEC values obtained for VCO in mixture with PO were 0.9996 and 0.494, respectively. In general, FTIR spectroscopy serves as a suitable technique for determination of VCO in mixture with the other oils.
机译:快速傅里叶变换红外(FTIR)光谱结合衰减全反射率(ATR)用于定量分析橄榄油(OO)和棕榈油(PO)的二元混合物中的初榨椰子油(VCO)。与VCO,OO,PO相关的光谱带; VCO和OO的混合物;对VCO和PO进行了扫描,解释和识别。两种多元校正方法,偏最小二乘(PLS)和主成分回归(PCR),被用来建立校正模型,该模型在FTIR光谱频率为1,120–1,105的情况下将混合物的VCO含量的实际值与FTIR预测值相关和965–960 cm -1 。使用“留一法”方法对获得的校准模型进行交叉验证。在最高频率的测定系数(R 2 )和最低均方根标准误差(RMSEC)的情况下,在这些频率下的PLS表现出最佳的校正模型 2 = 0.9992和RMSEC = 0.756。同时,与PO混合的VCO的R 2 和RMSEC值分别为0.9996和0.494。通常,FTIR光谱法是确定与其他油类混合物中VCO的合适技术。

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