模式识别在食品质量控制方面的应用进展  

Application of chemical pattern recognition techniques in food quality control

作　　者：陈燕清[1,2] 倪永年[1] 

机构地区：[1]南昌大学食品科学与技术国家重点实验室,江西南昌330047 [2]南昌航空大学环境与化学工程学院,江西南昌330063

出　　处：《化学研究与应用》2009年第1期1-7,共7页Chemical Research and Application

基　　金：国家自然科学基金资助项目(20562009);中科院长春应用化学研究所电分析化学国家重点实验室资助项目(SKLEAC2004-3);湖南大学化学生物传感和计量学国家重点实验室资助项目(SKLCBC2005-22);江西省自然科学基金资助项目(0620041);长江学者创新团队资助项目(IRT0540)

摘　　要：本文介绍了食品质量研究中常用的一些化学模式识别方法的基本原理,并介绍了模式识别结合红外、原子吸收、原子发射、气相色谱、液相色谱、质谱、电子鼻传感器等检测技术在食品质量控制中的应用。对化学计量学在食品质量控制中的应用前景作了展望。The principals of some chemical pattern recognitions were introduced and applied in food quality control, and the application of near infrared spectroscopy, Raman spectroscopy, atomic absorption spectrometry, atomic emission spectrometry, gas and liquid chromatography, mass spectrometry, electronic nose and nuclear magnetic resonance spectrometry combined with chemical pattern recognition techniques were reviewed in food quality control. Finally, the outlook of chemical pattern recognition techniques, such as principal component analysis, cluster analysis and discriminant analysis, were also discussed. 58 references have been cited.

关 键 词：化学计量学 模式识别 食品质量控制 

分 类 号：O652.9[理学—分析化学]