Shao Yongni, Zhu Di, Wang Yutian, Zhu Zhi, Tang Wenchao, Tian Zhengan, Peng Yan, Zhu Yiming
Terahertz Technology Innovation Research Institute, Terahertz Spectrum and Imaging Technology Cooperative Innovation Center, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 20009, China.
Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China.
Plant Phenomics. 2022 May 31;2022:9815143. doi: 10.34133/2022/9815143. eCollection 2022.
Moxa wool is a traditional Chinese herbal medicine, which can warm channels to dispel coldness. At present, there is no unified index to evaluate the purity and growing years of moxa wool in the market. Terpineol is one of the effective substances in the volatile oil of moxa wool. Here, we characterize the purity and growing years of moxa wool by studying terpineol. Gas chromatography-mass spectrometry (GC-MS) and high-performance liquid chromatography (HPLC) are the methods for monitoring terpineol at present, all of which have defects of complicated procedures. We established linear fitting to distinguish the different purities of moxa wool through the intensities (areas) of terpineol, the characteristic peaks, and the consequence presented; the coefficient of determination ( ) was higher than 0.90. Furthermore, based on the characteristic peak position of standard terpineol, the correlation model with the purity and growing year of moxa wool was set up, thereby differentiating the quality of moxa wool. We have built the partial least squares (PLS) model of the growing years of moxa wool with high accuracy, and the determination coefficient is greater than 0.98. In addition, we compare the quantitative accuracy of Raman spectroscopy with terahertz technology. Finally, a new method of terahertz spectroscopy to evaluate quality of moxa wool was found. It provides a new idea for the identification of inferior moxa wool in the market and a new method for identifying the quality of moxa wool in traditional Chinese medicine.
艾绒是一种传统的中药材，具有温经散寒的作用。目前，市场上尚无统一的指标来评价艾绒的纯度和生长年份。松油醇是艾绒挥发油中的有效成分之一。在此，我们通过研究松油醇来表征艾绒的纯度和生长年份。气相色谱-质谱联用（GC-MS）和高效液相色谱（HPLC）是目前监测松油醇的方法，但这些方法都存在操作程序复杂的缺陷。我们通过松油醇的峰强度（面积）、特征峰以及呈现的结果建立线性拟合来区分不同纯度的艾绒；决定系数（ ）高于0.90。此外，基于标准松油醇的特征峰位置，建立了与艾绒纯度和生长年份的相关模型，从而区分艾绒的质量。我们建立了高精度的艾绒生长年份偏最小二乘（PLS）模型，决定系数大于0.9八。此外，我们比较了拉曼光谱与太赫兹技术的定量准确性。最后，发现了一种利用太赫兹光谱评估艾绒质量的新方法。它为市场上劣质艾绒的鉴别提供了新思路，也为中药艾绒质量鉴定提供了新方法。
