基于激光诱导分解光谱技术的原料矿石绿松石的定量检测
Jinquan Wu1, Jian Wang1, Wei Xiong2
1College of Electronic and Information Engineering, South-Central Min Zu University, Wuhan, China.
Applied spectroscopy
|June 18, 2023
概括
激光诱导分解光谱 (LIBS) 为分析藏药中的绿含量提供了一种新的方法. 该技术使用光谱线强度,在传统医药生产中实现高精度的质量控制.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 材料科学 材料科学 材料科学
背景情况:
- 绿是藏药中至关重要的成分,直接影响了它们的疗效.
- 传统的分析方法在藏医药原材料中与矩阵效应作斗争.
- 西藏药品的现代化和标准化需要先进的质量控制技术.
研究的目的:
- 引入和验证激光诱导分解光谱 (LIBS) 用于检测藏医药原材料中的绿含量.
- 通过采用模式识别技术来解决传统方法的局限性.
- 建立一个可靠的方法来估计青度.
主要方法:
- 在42个地区的126个原料矿石样本上应用激光诱导分解光谱 (LIBS).
- 使用四个特征性Al和Cu光谱线强度的模型开发.
- 从模式识别引入相关系数 (ρ) 作为评估指数.
- 使用自主开发的软件进行数据分析和绿色含量估计.
主要成果:
- 在藏医药原料中成功应用LIBS检测绿.
- 估计绿含量,误差不到10%的差距.
- 证明模型在克服矩阵效应方面的有效性.
结论:
- 结合图案识别,LIBS提供了一种准确而高效的方法来分析绿色含量.
- 开发的方法支持西藏药物的现代化和标准化.
- 该技术方法可适应在各种应用中分析其他矿物成分.
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