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欧马距离法在香料指纹图谱模式识别中的应用

Application of Euclidean-Mahalanobis Distance in Pattern Recognition of Flavor Fingerprint Chromatograph

  • 摘要: 提出了用欧马距离评价混合体系指纹图谱的方法,并结合主成分分析计算了6种香精标准样品和2种掺兑样品、6种香精标准样品和8种无水乙醇稀释样品GC/MS指纹图谱的欧马距离。结果表明,欧马距离能较好区分6种香精标准样品与2种香精的混合物、6种香精标准样品和8种乙醇稀释样品。欧马距离算法结合主成分分析可用于香精样品指纹图谱识别。

     

    Abstract: A method for evaluating the fingerprint chromatographs of a mixed system by Euclidean-Mahalanobis distance was put forward.The Euclidean-Mahalanobis distances of GC/MS fingerprint chromatographs of six standard samples and two mixture samples,and six standard samples and eight absolute alcohol-diluted samples were calculated by combining with principal component analysis.The results showed that the standard samples were well discriminated from mixture or diluted samples by their Euclidean-Mahalanobis distances.It suggested that EuclideanMahalanobis distance combining with principal component analysis could be used to recognize flavor fingerprint chromatographs.

     

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