色谱指纹图谱组合相似度的算法

色谱指纹图谱相似度是评价中药质量稳定性的有效手段之一,其中向量夹角余弦相似度应用最为广泛。但是当色谱峰面积分布范围宽时,夹角余弦对数据的差异响应不灵敏。以土茯苓色谱指纹图谱数据为实例证实了当两样本数据间比例相差较大时,夹角余弦相似度对共有峰和非共有峰响应的灵敏程度相差很大。组合相似度在共有峰的夹角余弦相似度基础上纳入了非共有峰的影响,分别计算非共有峰和共有峰对相似度的贡献,并以最大峰比例同态性为指标,确定非共有峰的合适权重。基于样本峰面积数据建立的组合相似度模型能灵敏地反映待测样本与参照样本内在成分的峰比例变化,适合衡量多个药材样本间的相似程度,已成为评价药材质量相似度的新方法。

Combination similarity algorithm on chromatographic fingerprints

The similarity of chromatographic fingerprints is one of the effective approaches evaluating the quality stability of Chinese medicine, and the cosine of angle plays an important role in the application of similarity. However, the cosine approach is insensitive to the data difference when the distribution range of the data sets is wide. When the data proportion of the reference sample and the test sample is greatly different, it confirms that the sensitivity of the cosine to the differences of the peaks owned by both the reference sample and the test sample differs from the peaks owned only by the reference sample or the test sample in this study. The method considers the peaks owned by one sample in addition to peaks owned by both samples, and determines their own appropriate weigh targeting for the maximal homostasis value of proportion among the peaks of all of Smilax glabra Roxb. samples. The method based on sample data could reflect the difference in the chemical composition area ratio between the reference sample and test samples sensitively, and measures the similarity among the nine Smilax glabra Roxb. samples, which is a new similarity algorithm for evaluating the quality stability of herbal medicines.