Real-time monitoring of process parameters in rice wine fermentation by a portable spectral analytical system combined with multivariate analysis
Real-time monitoring of process parameters in rice wine fermentation by a portable spectral analytical system combined with multivariate analysis
复制标题
便携式光谱分析系统结合多变量分析实时监测黄酒发酵过程参数
DOI：
10.1016/j.foodchem.2015.05.074
复制
发表时间：
2016-01-01
期刊：
影响因子：
8.8
通讯作者：
Chen, Quansheng
中科院分区：
文献类型：
--
作者：
Ouyang, Qin;Zhao, Jiewen;Chen, Quansheng
开发了一种便携式、低成本的光谱分析系统，用于黄酒发酵过程中总糖、酒精度和pH值的实时监测。各种偏最小二乘（PLS）算法来构建模型。通过预测集的相关系数（R-p）和均方根误差（RMSEP）评价模型的性能。在所使用的模型中，协同间隔PLS（Si-PLS）被认为是优越的上级。通过Si-PLS模型对TSC的最佳性能为R-p = 0.8694，RMSEP = 0.438; AC为R-p = 0.8097，RMSEP = 0.617; pH为R-p = 0.9039，RMSEP = 0.0805。系统的稳定性和可靠性，以及最佳的模型，进行了验证，使用变异系数，其中大部分被发现是小于5%。结果表明，这种便携式系统是一种很有前途的工具，可作为一种替代方法，在黄酒发酵过程中的过程参数的快速监测。(C)2015爱思唯尔有限公司版权所有。
A portable and low-cost spectral analytical system was developed and used to monitor real-time process parameters, i.e. total sugar content (TSC), alcohol content (AC) and pH during rice wine fermentation. Various partial least square (PLS) algorithms were implemented to construct models. The performance of a model was evaluated by the correlation coefficient (R-p) and the root mean square error (RMSEP) in the prediction set. Among the models used, the synergy interval PLS (Si-PLS) was found to be superior. The optimal performance by the Si-PLS model for the TSC was R-p = 0.8694, RMSEP = 0.438; the AC was R-p = 0.8097, RMSEP = 0.617; and the pH was R-p = 0.9039, RMSEP = 0.0805. The stability and reliability of the system, as well as the optimal models, were verified using coefficients of variation, most of which were found to be less than 5%. The results suggest this portable system is a promising tool that could be used as an alternative method for rapid monitoring of process parameters during rice wine fermentation. (C) 2015 Elsevier Ltd. All rights reserved.