基于XRD-ICP的藏药"铜灰"炮制工艺优化
XRD-ICP-based preparation process optimization of Tibetan medicine'copper ash'
祁扎西才让 1阿旺旦增 2靳贵林 1嘎务1
作者信息
- 1. 西藏藏医药大学,拉萨 850000
- 2. 西藏山南洛扎县藏医院,西藏洛扎 851200
- 折叠
摘要
目的:藏药矿物药传统性状评价结合成分定性、定量,拓展藏药"铜灰"质量评价指标,优化"铜灰"炮制工艺参数.方法:藏药"铜灰"质地、色泽等传统评价结合X射线衍射联合电感耦合等离子谱分析(XRD-ICP)定性、定量,以Cu2S含量为主要指标,以助煅物量、煅灰温度、煅灰时间为考察因素,采用L9(34)正交法优化"铜灰"炮制工艺参数,并通过SEM-EDX验证优化指标选取的准确性与可取性.结果:经优化的"铜灰"制作工艺条件包括:助煅物重为铜的3倍,煅灰温度700 ℃,煅灰时间2h,此时成灰样品中Cu2S含量最高,且指标可取.结论:在传统煅灰工艺流程基础上优选的"铜灰"炮制工艺参数能节约成本、安全可行,同时科学地拓展了"铜灰"质量的传统评价指标,为"铜灰"炮制的有效性和安全性提供了实验依据.
Abstract
Objective:To expand the quality evaluation indexes and optimize the'cooper ash'processing process parameters by combining traditional character evaluation and component qualitative and quantitative analysis.Methods:By combining the traditional evaluation of texture and color of the Tibetan medicine'copper ash'and XRD-ICP qualitative and quantitative analysis,with the Cu2S content as the primary indicator,and the amount of cineration catalyst,cineration temperature and cineration time as the considerations,we adopted the L9(34)orthogonal method to optimize the'copper ash'processing process parameters and verified the accuracy and advisability of the to-be-optimized indexes through SEM-EDX.Results:The optimized'copper ash'production process conditions include:the cineration catalyst is 3 times as heavy as copper,the cineration temperature is 700 ℃,the cineration time is 2 hours,and the ash sample has the highest Cu2S content and the indexes are advisable at the moment.Conclusion:The optimized'copper ash'processing process parameters based on the traditional cineration process are cost-saving,safe and feasible,scientifically expand the traditional evaluation indexes of'copper ash'quality,and provide experimental evidences for the validity and safety of'copper ash'processing.
关键词
藏药/铜灰/炮制/优化/Cu2SKey words
Tibetan medicine/Copper ash/Processing/Optimization/Cu2S引用本文复制引用
基金项目
藏医药基础教育部重点实验室学科带头人及创新型科研团队建设项目(2022)()
西藏自治区藏医药管理局科研项目(2018)(JJKT2018024)
藏医药大学博士研究生科研创新能力提高项目(2022)(BSDJS2022003)
出版年
2024
NETL
NSTL
万方数据