多孔中药固体片剂孔隙率的太赫兹有效介质模型研究
DOI:
作者:
作者单位:

1.首都师范大学;2.江西中医药大学

作者简介:

通讯作者:

中图分类号:

O433

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Terahertz study on the porosity of porous traditional Chinese medicine tablets by effective medium models
Author:
Affiliation:

1.Capital Normal University;2.Jiangxi University of Traditional Chinese Medicine

Fund Project:

The National Natural Science Foundation of China

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目前对中药片剂的孔隙测量,一般采用的是具有破坏性的密度测量方法,缺乏无损量化方法。太赫兹辐射能用于无损的提取药物若干光学信息。针对直压型中药片剂,通过太赫兹时域和频域信号处理等不同方法分别计算各种片剂的有效折射率,发现两种方法得到的有效折射率和片剂的孔隙率均呈良好的线性关系。根据有效折射率特性,利用四种有效介质模型提取了中药片剂的孔隙率并进行量化回归,通过交叉验证与相对分析误差(RPD)发现通过时域信号处理的有效折射率得到的孔隙率回归模型解释性与验证准确性更高,其中最佳模型是Bruggeman模型(RPD=11.3325) 。为中药多孔粉体制剂工艺优化提供支持。

    Abstract:

    Generally, the porosity of traditional Chinese medicine is measured by the destructive method of density measurement, but there is a lack of non-destructive quantification methods. As one important non-destructive method, terahertz radiation has been used to non-destructively extract the drugs" time-domain and frequency-domain optical information. For direct compression traditional Chinese medicine tablets, the effective refractive index of various tablets was obtained by different methods of terahertz time-domain signal processing and frequency-domain signal processing. It was found that the effective refractive indices with either signal processing method show a good linear relationship with the porosities of the tablets. The porosity of Puerariae Lobatae Radix tablets was extracted and modeled by linear regression based on four effective medium theory models. The porosity regression model based on the effective refractive index by time-domain signal processing shows better performance on the model interpretation and cross-validation accuracy, with the best model of the Bruggeman model (RPD=11.3325). It provides support for the process optimization of porous powder preparation of traditional Chinese medicine.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2023-07-27
  • 最后修改日期:2023-09-05
  • 录用日期:2023-09-06
  • 在线发布日期:
  • 出版日期: