基于偏最小二乘法建立白酒酒醅近红外分析模型  

Based on Partial Least Squares Method to Establish Near Infrared Analysis Models of Fermented Grains

作　　者：李良 董孝元 吴昊 张超 周玉 陈茂彬[2] 方尚玲[2] 谢逾群 景艳艳[2] 张玉[2] LI Liang1;DONG Xiaoyuan1;WU Hao1;ZHANG Chao1;CHEN Maobin2;FANG Shangling2;XIE Yuqun2;JING Yanyan2;ZHANG Yu2

机构地区：[1]武汉天龙黄鹤楼有限公司,湖北咸宁437000 [2]湖北工业大学发酵工程教育部重点实验室工业发酵湖北省协同创新中心湖北省工业微生物重点实验室,湖北武汉430068

出　　处：《酿酒》2018年第3期57-60,共4页Liquor Making

基　　金：国家重点研发计划项目(2016YFD0400501);湖北省科技支撑计划项目(2015BAA154)

摘　　要：利用近红外光谱分析仪采集酒醅样品的近红外漫反射光谱,基于偏最小二乘法建立检测酒醅中水分、酸度值的近红外光谱分析模型。经内部交叉验证法对模型进行检验,结果为:酒醅中水分的相关系数均大于0.94,酸度的相关系数均大于0.97,证明所建模型测得的酒醅中水分和酸度值与真实值拟合良好。经盲样检测,结果为:模型所测酒醅水分和酸度值均与实际值相匹配且模型稳定性良好,证明所建模型可以实现对酒醅中水分和酸度值的快速检测。Near infrared diffuse reflectance of fermented grains samples were collected with near infrared spectroscopy, Based on Partial Least Squares Method to Establish Near Infrared Spectral Analysis Model for Measuring moisture and Acidity in Fermented grains.Test the model by the cross validation method,result ：In fermented grains,the correlation coefficient of moisture were greater than 0.94,the correlation coefficient of acidity were greater than 0.97. It proved that the moisture and acidity values of thefermented grains samples measured by the model are well fitted with the true values.Detected by the blind sample, the result ：the moisture and acidity values measuredby the model were matched to the actual values, and model stability is good.It proved that the model could realize the rapid detection of the moisture and acidity in fermented grains.

关 键 词：酒醅 偏最小二乘法 近红外光谱 模型 

分 类 号：TS262.3[轻工技术与工程—发酵工程] TS207.3[轻工技术与工程—食品科学与工程]