摘要
光谱分析和光谱成像技术结合了化学计量学方法,可以用于检测物质中各成分的含量。随着我国大豆产业不断发展,光谱分析和光谱成像技术已应用到大豆品质检测技术的各个方面。本文介绍光谱分析和光谱成像技术的基本原理;归纳技术检测工艺,包括大豆检测状态、光谱预处理方法、光谱特征提取方法和常用建模分析方法;重点总结光谱分析和光谱成像技术在大豆品质检测领域定量分析和定性判别的应用成果。整理大豆水分、蛋白质、脂肪和其他功能性营养成分含量定量检测的研究进展;归纳大豆品种鉴定、转基因大豆鉴别,病虫害和大豆外观品质识别定性分析的研究进展。此外,还对光谱分析和光谱成像技术在大豆品质检测领域的研究重点和不足进行讨论,并从研究和应用两方面展望了今后的发展趋势。
The spectral analysis and spectral imaging technology combined with chemometrics methods can determine the content of different components in a substance.With the continuous development of soybean industry in China,spectral analysis and spectral imaging technology have been applied to many aspects of soybean quality detection technology.Firstly,this paper briefly introduced the principle of spectral analysis and spectral imaging technology.Secondly,we summarized the technical detection technology,which including soybean detection state,spectral preprocessing method,spectral feature extraction method and common model analysis method.Finally,this paper focused on the application results of spectral analysis and spectral imaging technology in quantitative analysis and qualitative discrimination in the field of soybean quality detection.We conclude the research progress on quantitative determination of moisture,protein,fat and other functional nutrients,summarized the research progress on qualitative inorganic analysis of soybean variety identification,transgenic soybean identification,plant diseases and insect pests identification and qualitative analysis of soybean appearance quality.In addition,we also discussed the research emphases and shortcomings of spectral analysis and spectral imaging technology in the field of soybean quality detection,and prospected the future development trend from two aspects of research and application.
作者
郭榛
金诚谦
刘鹏
唐小涵
赵男
GUO Zhen;JIN Cheng-qian;LIU Peng;TANG Xiao-han;ZHAO Nan(School of Agricultural Engineering and Food Science,Shandong University of Technology,Zibo 255022,China;Nanjing Institute of Agricultural Mechanization,Ministry of Agriculture and Rural Affairs,Nanjing 210014,China)
出处
《大豆科学》
CAS
CSCD
北大核心
2022年第1期99-106,共8页
Soybean Science
基金
国家自然科学基金(32171910)
国家重点研发计划(2017YFD0700305)
现代农业产业技术体系建设专项(CARS-04-PS26)
江苏省农业科技自主创新资金[CX(20)1007]
山东省科技创新基地专项(SDKL2019014)。
关键词
光谱分析技术
光谱成像技术
大豆
品质检测
定量检测
定性分析
spectral analysis technology
spectral imaging technology
soybean
quality detection
quantitative detection
qualitative analysis