摘要
以陈醋中可溶性固态物质种类和含量为研究对象,利用红外光谱成像技术对陈醋中可溶性固态物质含量进行分析,同时利用不同技术对采集到的红外透射光谱进行预处理,最后使用最小二乘法和主成分回归法分别建立陈醋中可溶性固态物质含量分析模型。模型分析结果表明,对陈醋可溶性固态物质含量光谱进行平滑预处理后,采用最小二乘法建立的陈醋可溶性固态物质含量预测模型具有较高的可靠性,能够准确、稳定地进行陈醋中可溶性固态物质含量的预测。
In this paper,the types and content of soluble solids in mature vinegar are studied.The content of soluble solids in mature vinegar is analyzed by infrared spectral imaging technology.At the same time,the collected infrared transmission spectra are preprocessed by different technologies.Finally,the analysis models of soluble solids in mature vinegar are established by using least square method and principal component regression method.The model analysis results show that after smooth pretreatment of spectra of soluble solids'content in mature vinegar,the prediction model of soluble solids'content in mature vinegar established by least square method has high reliability,and can accurately and stably predict the soluble solids'content in mature vinegar.
作者
王呈慧
文小琴
WANG Cheng-hui;WEN Xiao-qin(Shanxi Youth Vocational College,Taiyuan 030032,China;South China University of Technology,Guangzhou 510640,China)
出处
《中国调味品》
CAS
北大核心
2022年第4期184-186,共3页
China Condiment
基金
黑龙江省高等教育教学改革一般研究项目(SJGY20190364)。
关键词
陈醋
红外光谱
最小二乘法
可溶性固态物质
mature vinegar
infrared spectra
least square method
soluble solids
