橙汁饮品的荧光光谱特性及模式识别  

Fluorescence Spectra Characteristics and Pattern Recognition of Orange Juice Beverages

作　　者：胡扬俊 陈国庆[1] 朱纯[1] 张咏[1] 孔凡标[1] 李润[1] 

机构地区：[1]江南大学理学院,江苏无锡214122

出　　处：《发光学报》2013年第8期1066-1072,共7页Chinese Journal of Luminescence

基　　金：国家自然科学基金(61178032);江苏省科技支撑计划(社会发展)(BE2011828)资助项目

摘　　要：应用FLS920型荧光光谱仪测得鲜榨橙汁、市售橙汁饮品(8种品牌)的三维荧光光谱,通过分析鲜榨橙汁与饮品中常见食品添加剂纯物质的荧光机理与特性,得到橙汁饮品中橙汁成分的最佳激发波长为470nm,荧光峰值波长为526 nm,其荧光特征峰为470/526 nm,其余荧光峰的归属均为食品添加剂。同时,采用三维荧光光谱重心法与基于MCD估计的稳健马氏距离相结合的方法对市售橙汁饮品进行筛选与分类,分类效果良好。结果表明:将荧光光谱技术与光谱模式识别方法相结合,可为饮料类食品的鉴别提供帮助。Three dimensional fluorescence spectra of fresh orange juice and orange juice beverages(8 brands) were obtained by employing FLS920 spectrometer.The fluorescence mechanism and characters of fresh orange juice and different kinds of pure food additives in beverage foods were analyzed.The optimal excitation wavelength and fluorescence peak wavelength of orange juice are 470 nm and 526 nm,respectively.The characteristic peak of orange juice is 470 /526 nm,and other peaks belong to food additives.Meanwhile,By extracting the center of gravity of three dimensional fluorescence spectroscopy,and combining the robust Mahalanobis distance based on MCD estimator,the orange juice beverages were classified,and the classification results were ideal.The results indicate that the combination of spectral detection and pattern recognition can contribute to the classification of beverages.

关 键 词：橙汁饮品 光谱分析 稳健马氏距离 模式识别 

分 类 号：O482.31[理学—固体物理]