傅立叶变换近红外光谱仪在入池酒醅回复性中的应用研究  

Application of Near Infrared Spectroscopy in Detection of Resilience of Pit-Entry Fermented Grains

作　　者：陈景宜 王卫东[1] 王青松[1] 陈爽 CHEN Jingyi;WANG Weidong;WANG Qingsong;CHEN Shuang(Yanghe Distillery Co.Ltd.,Suqian,Jiangsu 223700,China)

机构地区：[1]江苏洋河酒厂股份有限公司,江苏宿迁223700

出　　处：《酿酒科技》2021年第10期57-60,共4页Liquor-Making Science & Technology

摘　　要：入池酒醅的回复性是衡量酒醅在受到外界压力后恢复变形的能力,也是酒醅骨力和手感揉实性的表现,对整个发酵过程影响很大。传统方法是靠经验以手试醅,主观性较强,后采用质构仪检测,为了能实现大批量定量检测,我公司创新采用步琦公司NIRmaster近红外光谱分析仪,并结合近红外分析软件NIRCal5.2,建立了入池酒醅性状中回复性的定量模型。该模型的建模集的相关系数r为0.8549,验证集的相关系数r为0.8328;建模集标准差(SEC)与验证集标准差(SEP)的比值为1.026。随机选取40组样品验证模型的可靠性,与质构仪检测方法对比,平均相对误差为3.11%,RMSEP为0.263,说明近红外模型有较好的预测能力,可用于入池酒醅回复性的预测。The resilience of pit-entry fermented grains is the capacity of the fermented grains to recover from deformation after exter-nal pressure.It is the manifestation of the strength and hand feeling of the fermented grains,and has a great impact on the whole fer-mentation process.The traditional detection method of the resilience of fermented grains relies on experience and hand feeling,which is wholly subjective.Later,the texture analyzer(TPA)is applied,but it cannot complete mass sample detection.Therefore,we adopt-ed the near infrared spectroscopy and the analysis software NIRCal5.2,and established the detection model of the resilience of pit-en-try fermented grains.The calibration set regression coefficient of the model was 0.8549,and the validation set regression coefficient was 0.8328;the ratio of the calibration set standard deviation(SEC)to the validation set standard deviation(SEP)was 1.026.Forty samples were selected to verify the prediction ability of the model,and the results were compared with the results of the texture ana-lyzer(TPA):the mean relative deviation was 3.11%,and the RMSEP was 0.263.The results showed that the model could be used to predict the resilience of pit-entry fermented grains.

关 键 词：入池酒醅 回复性 近红外检测模型 

分 类 号：TS262.3[轻工技术与工程—发酵工程] TS261.7[轻工技术与工程—食品科学与工程]