摘要
采用国产微型近红外光谱仪及配套的端云一体光谱智能建模系统,针对白酒酿造过程中出入窖酒醅进行定量分析模型开发,包含出窖酒醅水分、酸度、淀粉、残糖指标,入窖酒醅水分、酸度、淀粉指标,通过使用特制的酒醅压紧工装,以及不同的预处理算法组合,采用偏最小二乘法开发完成了上述共7种成分的近红外光谱定量分析模型并进行验证。
Using the micro near infrared spectrometer and the cloud-based spectrum data processing system made in China,we devel-oped the quantitative analysis models of the fermented grains.Adopting a specially designed sampling device,the combination of dif-ferent pre-processing methods,and the partial least squares method,the quantitative analysis models of the moisture,acidity,starch and residual sugar of the pit-exit fermented grains and the moisture,acidity and starch of the pit-entry fermented grains were devel-oped and validated.
作者
王小琴
郭艳
宋廷富
罗珠
李杨华
安明哲
张国宏
王毅
李光尧
闫晓剑
WANG Xiaoqin;GUO Yan;SONG Tingfu;LUO Zhu;LI Yanhua;AN Mingzhe;ZHANG Guohong;WANG Yi;LI Guangyao;YAN Xiaojian(Wuliangye Co.Ltd.,Yibin,Sichuan 644000;Sichuan Changhong Electric Co.Ltd.,Mianyang,Sichuan 621000,China)
出处
《酿酒科技》
2022年第3期93-96,共4页
Liquor-Making Science & Technology
基金
四川省科技计划项目(2019ZYZF0092)。
关键词
近红外
酒醅
云端
微型光谱仪
模型
near infrared
fermented grains
cloud
micro spectrometer
model