摘要
大曲质量的优劣直接影响窖池内酒醅的发酵质量,影响出酒的产质量,而水份则是衡量大曲质量优劣的一个重要指标。传统的大曲水份的化学测定方法采用轻工行业标准《QB/T 4257-2011酿酒大曲通用分析方法》测定,其过程繁琐且时间较长,不能及时指导生产。采用近红外光谱技术与偏最小二乘法相结合的手段,建立了大曲水份的定标模型,在光谱预处理方法为一阶导数和多元散射校正、波数为4500cm-1~5900cm-1和6200cm-1~8500cm-1条件下获得大曲水份的最优预测模型。该模型交叉验证误差均方根(RMSECV)、决定系数(R2)分别为0.50%和0.9902。随机选取验证样品对模型预测能力进行验证,通过与传统分析方法检测结果进行比较,平均绝对误差小于0.50%,结果表明该模型具有较好的预测能力,可用于大曲理化指标水份的检测。
Daqu quality directly affects the quality of fermentation of fermented grains in pits, affecting the yield and quality of Chinese liquor, Water content is an important index to evaluate the quality of Daqu. The traditional method for the determination of water content in Daqu is the light industry standard QB/T 4257-2011 General analysis method of Daqu . The process is tedious and time consuming also can not guide the production in time. In this study, the calibration models for measuring the Water content of Daqu were built by near infrared spectroscopy technique combined with partial least squares（PLS） methods. The models were built and optimized by selecting different spectral pretreatment methods and wave number regions. The spectral pretreatment method was first derivative and multiplicative signal correction, the wave number region was 4500cm-1-5900cm-1and 6200cm-1-8500cm-1. The root-mean square error of cross-validation（RMSECV） and determination coefficient（R2） were 0.50% and 0.9902.Randomly selected validation samples to validate the predictive ability of the model, the results were compared with the traditional method, the average absolute error is less than 0.50%.These results showed that the model could predict the Water content of Daqu accurately and quickly, and it could be used o measure the Water content of Daqu.
作者
胡心行
沈小梅
马雷
刘露
刘国英
汤有宏
HU Xinhang SHEN Xiaomei MA Lei LIU Lu LIU Guoying TANG Youhong(Anhui GujingGongjiu Co. Ltd., Bozhou, Anhui 236820, China Anhui Solid-state fermentation of Engineering Technology Research Center, Bozhou, Anhui 236820,China)
出处
《酿酒》
CAS
2017年第5期97-102,共6页
Liquor Making
关键词
近红外光谱技术
大曲
水份
模型
Near infrared spectroscopy
Daqu
Water content
Model
