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首页> 外文期刊>European Journal of Lipid Science and Technology >Erucic acid evaluation in rapeseed and canola oil by Fourier transform-infrared spectroscopy
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Erucic acid evaluation in rapeseed and canola oil by Fourier transform-infrared spectroscopy

机译:傅立叶变换红外光谱法评估菜籽油和低芥酸菜子油中的芥酸

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摘要

A simple and rapid method was developed for the determination of erucic acid in rapeseed oil by single bounce attenuated total reflectance (SB-ATR) Fourier transform infrared (FTIR) spectroscopy. The various ratios prepared from the three different types of oils (rapeseed, canola, and sunflower) were run on gas chromatograph to identify amount of erucic acid. Therefore, a wide range of erucic acid (0.5-53.0%) was obtained for the calibration. The partial least squares (PLS) calibration was used for predicting erucic acid using spectral region at 2983-657/cm. The root mean square error of prediction (RMSEP), root mean square error of calibration (RMSEC), and root mean square error of cross-validation (RMSECV) were also determined to assess the accuracy of the method. The regression coefficient (R~2) was obtained 0.999 with least errors of RMSEC (0.12%), RMSECV (1.96%), and RMSEP (1.38%). The accuracy of the FTIR method was evaluated by analyzing canola and rapeseed oil samples by GC-MS and the results of both the techniques were found to be comparable.
机译:建立了一种简单快速的方法,可通过单反射衰减全反射(SB-ATR)傅里叶变换红外(FTIR)光谱法测定菜籽油中的芥酸。在气相色谱仪上分析了从三种不同类型的油(菜籽油,低芥酸菜子油和葵花籽油)制备的各种比例,以鉴定芥酸的量。因此,获得了广泛的芥酸(0.5-53.0%)用于校准。偏最小二乘(PLS)校准用于使用2983-657 / cm的光谱区域预测芥酸。还确定了预测的均方根误差(RMSEP),校准的均方根误差(RMSEC)和交叉验证的均方根误差(RMSECV),以评估该方法的准确性。回归系数(R〜2)为0.999,其中RMSEC(0.12%),RMSECV(1.96%)和RMSEP(1.38%)的误差最小。 FTIR方法的准确性通过使用GC-MS分析低芥酸菜籽和菜籽油样品进行了评估,结果发现两种技术的结果具有可比性。

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