Quality Analysis of Chinese Quince (Chaenomeles sinensis Koehne) Based on Data Mining Technology

Abstract

Abstract: Chinese quince fruits collected from 10 growing areas in Baihe County, Shaanxi Province were analyzed by HPLC to establish fingerprint profiles. The information obtained was analyzed by digital processing. The similarity of these samples was analyzed and the different growing areas were assigned by cluster analysis to three categories. Meanwhile, a general fingerprint profile model was proposed in which 11 common peaks were found. Therefore, combined HPLC fingerprinting and cluster analysis can provide a new analytical method for quality evaluation of Chinese quince.

Key words: cluster analysis, Chinese quince, quality evaluation

CLC Number:

TS201

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Quality Analysis of Chinese Quince (Chaenomeles sinensis Koehne) Based on Data Mining Technology

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