[关键词]
[摘要]
目的 评价现代工艺与传统工艺产品质量的一致性,应用基准关联度和层析分析法(AHP)-熵权法筛选小续命汤现代提取工艺参数。方法 以小续命汤中盐酸伪麻黄碱、黄芩苷、芍药苷含量以及指纹图谱相似度和出膏率为评价指标,选取料液比、提取时间、提取次数为影响因素进行正交试验设计。首次引入基准关联度的概念,计算不同提取参数的各种评价指标下各样品与基准样品的基准关联度,采用AHP-熵权法确定各种评价指标的权重系数,进行综合评分。结果 基准关联度结合AHP-熵权法筛选出的小续命汤现代提取工艺参数为全方药材加12倍量的水提取1 h,6批验证试验综合评分大于94.12,RSD为1.87%,且均符合基准样品质量要求,该提取参数与最终大生产的参数具有一致性。结论 基准关联度和AHP-熵权法用于筛选经典名方小续命汤的现代提取工艺参数具有可行性,并能为其他经典名方的现代提取研究提供理论依据。
[Key word]
[Abstract]
Objective To evaluate the consistency of product quality between modern technology and traditional technology, to screen the modern extraction process parameters of Xiaoxuming Decoction (XXMD, 小续命汤) by using standard relation and analytic hierarchy process (AHP)-entropy method. Method With the content of pseudoephedrine hydrochloride, baicalin, and paeoniflorin in XXMD as well as paste yielding rate and fingerprint similarity as evaluation indexes, orthogonal experiment was used to research extraction process of XXMD after solid-liquid ratio, extraction times and extraction time as factors. The concept of standard relation was introduced for the first time to calculate standard relation between each samples and standard decoction of various indexes of different extraction parameters, while AHP-entropy method was applied to determine the weight of each index for comprehensive score. Results The modern extraction process parameters of XXMD, screened by using standard relation and AHP-entropy method, which was compound herbs extracted for 1 h with 12 times the amount of water. Six batches of comprehensive evaluation was greater than 94.12, RSD value was 1.87%, and meet the quality requirements of standard decoction. The parameter was consistent with the final mass production parameters in the actual practice. Conclusion The results obtained in this study show the feasibility of standard relation combined with AHP-entropy method in selecting key process parameters, which can provide theoretical reference for the modern extraction research of other classical prescriptions.
[中图分类号]
R283.6
[基金项目]
四川省科技计划重点研发项目(2020YFS0566);四川省杰出青年科技人才项目(2020JDJQ0063);四川省中医药科研专项(2021MS207)