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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光谱法在测定橄榄油和棕榈油二元混合物中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 (R2) and the lowest of root mean standard error of calibration (RMSEC) with R2=0.9992 and RMSEC=0.756, respectively, for VCO in mixture with OO. Meanwhile, the R2 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)光谱结合衰减的全反射率(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。使用两种多元校正方法,偏最小二乘(PLS)和主成分回归(PCR)来构建校正模型,这些模型在FTIR光谱频率为1,120-1,105时,混合物中VCO含量的实际值与FTIR预测值之间存在关联和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)方面,这些频率下的PLS显示出最佳的校准模型与OO混合的VCO的 R 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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