太赫兹科学与电子信息学报, 2018, 16 (2): 212, 网络出版: 2018-06-09   

基于太赫兹透射谱的中药材特征提取方案

Optimization analysis of characteristic data extraction scheme from Chinese herbal medicines with terahertz spectrum
作者单位
1 北京邮电大学电子工程学院, 北京 100876
2 西安邮电大学理学院, 陕西 西安 710121
3 首都师范大学物理系, 北京 100048
摘要
太赫兹时域光谱技术可以为中药材鉴别与研究提供新方法。中药材对透射的太赫兹光波没有明显的特征吸收谱线, 但太赫兹光波与中药材物质的作用机理表现为一个与中药材种类及厚度有关的太赫兹光波低通滤波器。针对制备的中药材样品厚度很难标准化, 提出中药材样品厚度归一化数据处理方案。利用不同厚度样品的太赫兹透射光波电场强度采样数据, 拟合出标准厚度(1 mm)中药材样品的太赫兹透射光波电场强度数据, 进而计算出每种标准厚度样品对应的中药材低通滤波器的 3个参数 (α,β,γ), 实验结果证明了方案的可行性, 可以用来区分中药材的种类。
Abstract
Terahertz time-domain spectroscopy technology(THz-TDS) provides a new method for the identification and study of Chinese herbal medicines. Although the experimental data of electric field intensity indicates that the Chinese herbal samples have no obvious characteristic of spectrum absorption to transmitted terahertz wave, nevertheless, it behaves like a terahertz filter having dependence on the sample’s type and thickness of Chinese herbal medicines. Because it is difficult to prepare a standard thickness of the Chinese herbal medicine sample, a sample thickness normalization scheme which utilizes the data of electric field intensity of the transmitted terahertz wave in the samples with different thicknesses is proposed. Then the electric field intensity data of the transmitted terahertz wave in the standard thickness (1 mm) samples are calculated. And then three parameters(α,β,γ) of each Chinese herbal medicine sample with the standard thickness corresponded low-pass filter are calculated. The experimental results show that the proposed scheme is feasible and can be applied to distinguish the types of Chinese herbal medicines.

赵峰, 李静玲, 袁敏杰, 叶佳声, 张岩, 忻向军. 基于太赫兹透射谱的中药材特征提取方案[J]. 太赫兹科学与电子信息学报, 2018, 16(2): 212. ZHAO Feng, LI Jingling, YUAN Minjie, YE Jiasheng, ZHANG Yan, XIN Xiangjun. Optimization analysis of characteristic data extraction scheme from Chinese herbal medicines with terahertz spectrum[J]. Journal of terahertz science and electronic information technology, 2018, 16(2): 212.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!