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作 者:刘富光 何晓莉 吕芳 余洪霞 LIU Fuguang;HE Xiaoli;LÜ Fang;YU Hongxia(Xijiu Co.Ltd.,Xishui,Guizhou 564622,China)
出 处:《酿酒科技》2024年第9期43-47,共5页Liquor-Making Science & Technology
摘 要:固态酒醅传统检测存在预处理繁琐、检测时间长、工作量重、药品消耗量及废液产生量大等问题,同时因检测时间长、反馈检测结果滞后,不能达到指导制酒车间生产的目的。为了提高酒醅的检测效率及检测速度,本研究采用近红外光谱仪和偏最小二乘法结合,对酒醅的水分、酸度、淀粉、还原糖等理化指标建立分析模型。模型建立成熟后,其准确度、重复性完全能满足实际生产需要。近红外法与传统检测方法相比有以下优点:能有效的缩短检测时间、免去传统检测中复杂的操作步骤、无化学品消耗、不产生废液等。模型建立成熟后,能实现样品快速扫描,很大程度上提升了工作效率。Traditional detection of solid-state fermented grains has problems such as cumbersome pre-treatment,long detection time,heavy workload,high reagent consumption and large waste liquid production.Due to the long detection time and delayed feedback,it cannot achieve the purpose of guiding the production in liquor-making workshops.In order to improve the detection efficiency and speed of fermented grains,this article uses a combination of near-infrared spectroscopy and partial least squares method to establish analysis models of the physicochemical indicators of fermented grains,including moisture,acidity,starch,and reducing sugar.When the model is mature,its accuracy and repeatability can fully meet the actual production needs.Compared with traditional detection methods,the near-infrared method has the following advantages:effectively reducing detection time,eliminating complex operation steps,no chemical consumption,and no waste liquid generation.When the model is mature,it can achieve rapid sample scanning,greatly improving work efficiency.
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]
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