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近红外光谱结合偏最小二乘法快速检测米糠油过氧化值和酸价
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Rapid determination of peroxide value and acid value in rice bran oil using near infrared spectroscopy coupled with partial least squares regression
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    研究旨在建立近红外光谱法快速测定米糠油中过氧化值和酸价的方法。以化学滴定法测定米糠油中过氧化值和酸价为参比方法,采用近红外分析技术结合偏最小二乘法,建立了米糠油中过氧化值和酸价的近红外定量分析模型。过氧化值和酸价定量分析模型的决定系数分别为99.11%和99.72%,预测标准差分别为0.436 7%和0.044 78%,交叉验证标准差分别为0.452 2%和0.046 69%。利用78个验证集样品对定标模型进行外部独立验证,过氧化值及酸价的绝对误差分别在–0.78%~0.82%和–0.142%~0.139%之间,相对误差分别在–13.21%~14.44%和–14.85%~12.46%之间。表明所建立的定量分析模型及方法可对米糠油中过氧化值和酸价进行简便、快速测定。

    Abstract:

    Near infrared spectroscopy was applied to the rapid determination of peroxide value and acid value in rice bran oil. Using chemical titration to determine the content of peroxide value and acid value in rice bran oil as a reference method, using near infrared spectroscopy analysis technology combined with partial least squares regression, established the near infrared quantitative analysis model. The correlation coefficients of the established peroxide value and acid value quantitative analysis models were 99.11% and 99.72%, the standard deviation of prediction were 0.436 7% and 0.044 78%, and the cross validation standard deviation were 0.452 2% and 0.046 69%. The calibration model was independently verified externally with 78 samples. The absolute errors of peroxide value and acid value were –0.78%~0.82% and –0.142%~0.139%. The relative errors of peroxide value and acid value were –13.21%~14.44% and –14.85%~12.46%. The established quantitative analysis model and method is simple, rapid and accurate in the content determination of peroxide value and acid value in rice bran oil.

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彭志兵,张 晨,徐 雄,辛迪薇.近红外光谱结合偏最小二乘法快速检测米糠油过氧化值和酸价[J].粮油食品科技,2023,31(2):146-153.

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  • 在线发布日期: 2023-03-22
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