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中国精品科技期刊2020
郭玉姗, 刘建学, 李璇, 韩四海, 李佩艳, 徐宝成, 罗登林. 基于近红外光谱技术的白酒基酒中乳酸的快速检测[J]. 食品工业科技, 2018, 39(20): 212-216. DOI: 10.13386/j.issn1002-0306.2018.20.035
引用本文: 郭玉姗, 刘建学, 李璇, 韩四海, 李佩艳, 徐宝成, 罗登林. 基于近红外光谱技术的白酒基酒中乳酸的快速检测[J]. 食品工业科技, 2018, 39(20): 212-216. DOI: 10.13386/j.issn1002-0306.2018.20.035
GUO Yu-shan, LIU Jian-xue, LI Xuan, HAN Si-hai, LI Pei-yan, XU Bao-cheng, LUO Deng-lin. Rapid Determination of Lactic Acid in Base Liquor Based on Near Infrared Spectroscopy[J]. Science and Technology of Food Industry, 2018, 39(20): 212-216. DOI: 10.13386/j.issn1002-0306.2018.20.035
Citation: GUO Yu-shan, LIU Jian-xue, LI Xuan, HAN Si-hai, LI Pei-yan, XU Bao-cheng, LUO Deng-lin. Rapid Determination of Lactic Acid in Base Liquor Based on Near Infrared Spectroscopy[J]. Science and Technology of Food Industry, 2018, 39(20): 212-216. DOI: 10.13386/j.issn1002-0306.2018.20.035

基于近红外光谱技术的白酒基酒中乳酸的快速检测

Rapid Determination of Lactic Acid in Base Liquor Based on Near Infrared Spectroscopy

  • 摘要: 目的:研究现代近红外光谱技术快速检测白酒基酒中的乳酸含量。方法:采用高效液相色谱法测定基酒样品中乳酸的化学值,与近红外透射光谱相结合,建立白酒基酒中乳酸的定量检测模型。结果:最佳预处理方法为一阶导数+多元散射校正(MSC),最优波段谱为6102~5450 cm-1。对模型进行优化和检验,得到校正集样品的化学值与预测值的决定系数(R2)为0.9771,校正标准偏差(RMSECV)为0.1825;验证集的决定系数(R2)为0.9808,预测标准偏差(RMSEP)为0.1475。结论:近红外光谱法快速有效,所建模型具有很好的预测效果,模型的精密度和稳定性良好,为白酒生产中乳酸含量的检测提供方法指导。

     

    Abstract: Objective:To study the rapid determination of lactic acid content in base liquor by Modern Near Infrared Spectroscopy.Methods:High performance liquid chromatography was used to determine the chemical value of lactic acid in base liquor, which was combined with near infrared transmission spectrum, and established the quantitative detection model of lactic acid in base liquor. Results:The best spectral pretreatment method was the first derivative + multivariate scatter correction (MSC), the optimal band spectrum was 6102~5450 cm-1. Through optimized and validated the model, the determination coefficient (R2) between the chemical value and the near infrared predicted value was 0.9771; the correction standard deviation (RMSECV) was 0.1825; the determinant coefficient of the validation set (R2) was 0.9808, the prediction standard deviation (RMSEP) was 0.1475.Conclusion:Near infrared detection method was fast and effective, the model had good prediction effect, and the precision and stability of the model was good, providing guidance for the determination of lactic acid content in liquor industry.

     

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