摘要
为了快速测定白酒基酒中的乙醇含量,采用近红外光谱(NIRS)技术结合偏最小二乘法(PLS)处理白酒基酒近红外图谱,建立白酒基酒中乙醇的定量分析模型。结果表明:最佳预处理方法为减去一条直线法,最优波段谱为7 502~5 450 cm^(-1),主成分数为7。校正集样品的化学值与预测值的决定系数(R^2)为0.923 3,交互验证均方根误差(RMSECV)为0.89;对模型进行检验,得到验证集的决定系数(R^2)为0.954 8,预测均方根误差(RMSEP)为1.21。结果显示近红外检测方法快速有效,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。
In order to quickly determine the ethanol content in base liquor of Baijiu(Chinese liquor),the quantitative analysis model of ethanol in base liquor was established by using near infrared spectroscopy(NIRS)combined with partial least squares(PLS)method to deal with the near infrared spectrum of base liquor.The results showed that the optimal preprocessing method was straight line subtraction,the optimal band spectrum was 7 502-5 450 cm-1,the principal component dimension was 7.The determination coefficient(R2)of the chemical value and the predicted value of calibration samples was 0.923 3,root mean square error of cross-validation(RMSECV)was 0.89;the model was further validated,the determinant coefficient of the validation set(R2)was 0.954 8,root mean square error of prediction(RMSEP)was 1.21.The results showed that near infrared detection method was fast and effective.The prediction effect and the precision and stability of the model was good.
作者
韩四海
郭玉姗
李璇
刘建学
李佩艳
徐宝成
罗登林
HAN Sihai;GUO Yushan;LI Xuan;LIU Jianxue;LI Peiyan;XU Baocheng;LUO Denglin(College of Food and Bioengineering,Henan University of Science and Technology,Luoyang 471023,China;Henan Engineering Research Center of Food Material,Luoyang 471023,China)
出处
《中国酿造》
CAS
北大核心
2018年第9期158-161,共4页
China Brewing
基金
国家自然科学基金项目(31471658)
河南省自然科学基金项目(162300410074)
河南省科技攻关项目(172102310694)
关键词
近红外光谱
白酒基酒
乙醇
检测
偏最小二乘法
near infrared spectroscopy
base liquor of Baijiu
ethanol
determination
partial least squares