食品科学 ›› 2011, Vol. 32 ›› Issue (8): 226-230.doi: 10.7506/spkx1002-6630-201108050

• 分析检测 • 上一篇    下一篇

葛粉掺假的傅里叶变换红外光谱法鉴别研究

刘 嘉1,李建超1,陈 嘉1,赵国华1,2,*   

  1. 1. 西南大学食品科学学院 2. 重庆市农产品加工技术重点实验室
  • 出版日期:2011-04-25 发布日期:2011-04-12
  • 基金资助:
    中央高校基本科研业务费专项(XDJK2010016)

Discrimination of Kudzu Starch Adulteration by Fourier Transform Infrared Spectroscopy

LIU Jia1,LI Jian-chao1,CHEN Jia1,ZHAO Guo-hua1,2,*   

  1. 1. College of Food Science, Southwest University, Chongqing 400715, China; 2. Chongqing Key Laboratory of Agricultural Product Processing, Chongqing 400715, China
  • Online:2011-04-25 Published:2011-04-12

摘要: 以葛粉及葛粉中分别掺假红薯粉和马铃薯粉作为研究对象,采集400~4000cm-1波数范围内的红外傅里叶变换光谱,结合主成分分析对样品的进行聚类划分。并通过Fisher判别,建立葛粉真伪的判别方程。分别以样本回判及外部验证考察模型可靠性。结果表明:葛粉、红薯粉与马铃薯粉及三者不同比例混合样品的二维主成分分布位于不同区域,且葛粉与掺假葛粉之间无重叠。判别方程经样本回判及外部验证表明,葛粉中掺假红薯粉和葛粉中掺假马铃薯粉的自身验证准确率分别为93.3%和100%;交互验证准确率分别为86.7%和92.0%。此方法具有很好的鉴别作用,可作为葛粉中掺假红薯粉和马铃薯粉的一种鉴别方法。

关键词: 葛粉, 傅里叶变换红外光谱, 主成分分析, 判别分析

Abstract: The discrimination of kudzu starch with adulterated sweet potato starch and potato starch was conducted by mid-infrared spectroscopy (400-4000 cm-1) and principal component analysis (PCA). An equation was created through fisher linear discriminant analysis, and its reliability was verified by classifying training samples and testing samples. The results showed that the two dimensional distribution of principal component of samples belonged to different locations, and there was no overlap between kudzu starch location and adulterated samples. The classification of training samples and testing samples showed that the self-recognition rates of kudzu starch adulterated with sweet potato starch and potato starch were 93.3% and 100%, respectively. Meanwhile, the interactive correct recognition rates of kudzu starch adulterated with sweet potato starch and potato starch were 86.7% and 92.0%, respectively. So this method has good discrimination ability, and may offer a new approach for the rapid discrimination of kudzu starch adulterated with sweet potato starch and potato starch.

Key words: kudzu starch, Fourier transform infrared spectroscopy, principal component analysis, discriminant analysis

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