近红外光谱法快速测定米糠油中谷维素的含量北大核心CSCD

为了简便、快速、准确地测定米糠油中的谷维素含量,以LS/T 6121.2—2017的高效液相色谱法为测定米糠油中谷维素含量的参比方法,采用近红外光谱分析技术结合偏最小二乘法建立了米糠油中谷维素含量的定量分析模型。结果表明:所建定量分析模型的决定系数为99.81%,预测标准差为0.02849%,交叉验证标准差为0.03113%;利用99个验证集样品对定量分析模型进行外部独立验证,预测决定系数为99.81%,预测标准差为0.03090%,用该定量分析模型检测样品绝对误差在-0.081%~0.057%之间,相对误差在-11.86%~9.84%之间。所建立的定量分析模型预测效果较好,准确度较高,可用于米糠油中谷维素含量的测定。

Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy

In order to determine the oryzanol content in rice bran oil with a simple, rapid and accurate manner, a quantitative analysis model of near-infrared spectroscopy combined with partial least squares method for the determination of oryzanol content in rice bran oil was established by using the high performance liquid chromatography method of LS/T 6121.2-2017 as the reference method. The results showed that the coefficient of deterination of quantitative analysis model established was 99.81%, the standard deviation of prediction was 0.028 49%, and the standard deviation of cross validation was 0.031 13%. The total of 99 samples were used to the external independent verification of the quantitative analysis model, and the coefficient of deterination of prediction was 99.81%, the standard deviation of prediction was 0.030 90%, the absolute error was in the range of -0.081%-0.057%, relative error was in the range of -11.86%-9.84%. The established quantitative analysis model has good prediction effect and high accuracy, and can be used for the determination of oryzanol content in rice bran oil.