北方浓香型白酒发酵糟醅理化指标的近红外光谱快速分析  

Rapid Analysis by NIR about Physicochemical Indexes of Fermented Grains of Nongxiang Baijiu in Northern China

作　　者：朱立宁 王启 ZHU Lining;WANG Qi(Hebei Nijiao Brewing Technology Innovation Center,Xingtai 055550,Hebei,China;Hebei Fenglaiyi Distillery Co.,Ltd.,Xingtai 055550,Hebei,China)

机构地区：[1]河北省泥窖酿酒技术创新中心,河北邢台055550 [2]河北省凤来仪酒业有限公司,河北邢台055550

出　　处：《酿酒》2023年第3期113-116,共4页Liquor Making

摘　　要：研究利用近红外光谱法建立了北方浓香型白酒发酵糟醅出入窖水分、酸度、淀粉三个理化指标的预测模型。结果表明:入窖糟醅水分、淀粉、酸度模型的均方根误差分别为0.77%、0.11°、0.11%;出窖糟醅水分、淀粉、酸度模型的均方根误差分别为0.54%、0.16°、0.49%,模型的质量较好。并且利用验证样品对模型进行外部验证,入窖糟醅水分、酸度、淀粉的模型预测的标准偏差分别为2.10%、0.22°、1.32%,出窖糟醅水分、酸度、淀粉的模型预测的标准偏差分别为1.61%、0.56°、1.13%,说明模型具有较好的预测能力,可用于生产分析检测。The prediction models of three physicochemical indexes about water content,acidity and starch concentration of fermented grains of Nongxiang Baijiu in northern China was established by NIR.The results showed that RMSECV of water content,acidity and starch concentration of fermented grains of entry cellars were 0.77%,0.11°and 0.11%,respectively.RMSECV of water content,acidity and starch concentration of fermented grains of out of the cellars were 0.54%,0.16°and 0.49%,respectively,indicating that the models were of good quality.In addition,validation samples were used to verify the models externally.The standard deviation of validation samples of entry cellars of water content,acidity and starch concentration of fermented grains of entry cellars were 2.10%,0.22°,and 1.32%,respectively,and that of out of the cellars were 1.61%,0.56°,and 1.13%,respectively.This indicated that the models had good predictive ability and can be used for production analysis and testing.

关 键 词：北方浓香型白酒发酵糟醅 理化指标 近红外光谱技术 预测模型 

分 类 号：TS262.31[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]