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目的:应用逼近理想排序法(TOPSIS)与灰色关联法评价不同批次炒茺蔚子的质量并进行比较。方法:测定不同批次炒茺蔚子中总灰分、酸不溶性灰分、浸出物、盐酸水苏碱的百分含量,通过层次分析法进行指标权重的确定,得到4个指标的权重为0.077,0.077,0.385,0.461;采用MATLAB编程构建不同产地炒茺蔚子的灰色关联度质量评价模型并与TOPSIS分析结果比较。结果:对不同批次炒茺蔚子中的各成分进行灰色关联分析,得出“广东20121117”的药材与最优参考序列的相对关联度最高(0.561 685 996)质量最优,“河南20130401”的药材与最优参考序列的相对关联度最低(0.402 108 175)质量最差,TOPSIS与灰色关联法的分析结果基本一致,说明结果的可重复性较好,较为可靠。结论:灰色模式识别模型,适宜对多组分多指标的中药材样品质量进行综合评价,具有推广应用前景。
OBJECTIVE: To evaluate the quality of fried wolfberry seeds in different batches by TOPSIS and gray correlation method. Methods: The percentage of total ash, acid-insoluble ash, leachate and stachydrine hydrochloride in different batches were determined. The weights of four indicators were determined by analytic hierarchy process. The weights of the four indicators were 0.077,0.077 , 0.385,0.461. By using MATLAB programming, the quality evaluation model of gray relational degree was established and compared with TOPSIS. Results: The gray relational analysis of the ingredients in different batches showed that the highest relative relativity (0.561 685 996) of “Guangdong 20121117” was the best, “ Henan 20130401 ”had the lowest relative relativity (0.402 108 175), the lowest correlation between the reference sequence and the best reference sequence, and the TOPSIS and gray correlation method were basically the same, which showed that the repeatability of the results was better and more reliable. Conclusion: The gray pattern recognition model is suitable for comprehensive evaluation of the sample quality of multi-component and multi-index Chinese herbal medicines, and has the prospect of popularization and application.