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同步荧光法结合主成分分析法鉴别橙汁品质
引用本文:张晓丽,毛立新,范三红. 同步荧光法结合主成分分析法鉴别橙汁品质[J]. 食品科学, 2015, 36(18): 162-166. DOI: 10.7506/spkx1002-6630-201518029
作者姓名:张晓丽  毛立新  范三红
作者单位:山西大学生命科学学院,山西 太原 030006
摘    要:对鲜榨橙汁与市售某品牌橙汁进行同步荧光扫描得到其三维荧光光谱,并从光谱中提取出3 组特征峰。然后结合其中荧光物质的特性,得知这3 组特征峰对应物质分别为VB2、VB6和黄酮类物质。同时,采用主成分分析法结合于激发波长240~640 nm、发射波长与激发波长差为30 nm条件下扫描而得的同步荧光光谱数据对所有橙汁样品进行聚类并识别,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,可为橙汁品质鉴别提供有力技术支持。

关 键 词:橙汁  同步荧光法  主成分分析  

Synchronous Fluorescence Spectroscopy Combined with Principal Component Analysis to Identify Orange Juice Quality
ZHANG Xiaoli,MAO Lixin,FAN Sanhong. Synchronous Fluorescence Spectroscopy Combined with Principal Component Analysis to Identify Orange Juice Quality[J]. Food Science, 2015, 36(18): 162-166. DOI: 10.7506/spkx1002-6630-201518029
Authors:ZHANG Xiaoli  MAO Lixin  FAN Sanhong
Affiliation:College of Life Sciences, Shanxi University, Taiyuan 030006, China
Abstract:Synchronous fluorescence scanning was conducted on freshly prepared orange juice and commercial orange
juice to obtain the three-dimensional fluorescence spectra. Three groups of characteristic peaks were obtained and based on
their fluorescence characteristics, these peaks were identified as VB2, VB6 and flavonoids, respectively. At the same time,
the synchronous fluorescence spectral data of all the orange juice samples obtained by scanning at excitation wavelengths
of 240–640 nm with a wavelength difference of 30 nm compared to the emission wavelength were analyzed using principal
component analysis (PCA). Quite good results were obtained showing that the combination of fluorescence spectroscopy and
spectral pattern recognition method can provide the powerful technical support for the identification of orange juice quality.
Keywords: orange juice  synchronous fluorescence spectrometry  principal component analysis (PCA)  
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