Xu Ming-Lei, Gao Hui-Min, Zhang Yong-Xin, Li Zhi-Jian, Ding Yang, Wang Qing-Rong, Huo Shi-Xia, Feng Wei-Hong, Kang Yu-Tong, Chen Liang-Mian, Wang Zhi-Min
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
Uygur Medical Hospital of Xinjiang Uygur Autonomous Region Urumqi 830049, China Xinjiang Key Laboratory of Evidence-Based and Translation, Hospital Preparation of Traditional Chinese Medicine Urumqi 830049, China.
Zhongguo Zhong Yao Za Zhi. 2024 Dec;49(23):6352-6367. doi: 10.19540/j.cnki.cjcmm.20240910.301.
Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS) was used to rapidly identify the chemical components in Dracocephalum moldavica, and UPLC was employed to determine the content of its main components. MS analysis was performed using an electrospray ionization(ESI) source and data were collected in the negative ion mode. By comparing the retention time and mass spectra of reference compounds, and using a self-built compound database and the PubChem database, 68 compounds were identified from D. moldavica, including 36 flavonoids, 22 phenylpropanoids, 4 phenols, and 6 other compounds. On this basis, a UPLC quantitative method was established to simultaneously determine 8 main components, i.e., luteolin-7-O-glucuronide, apigenin-7-O-glucuronide, rosmarinic acid, diosmetin-7-O-glucuronide, tilianin, acacetin-7-O-glucuronide, acacetin-7-O-(6″-O-malonyl)-glucoside, and acacetin. A Waters ACQUITY BEH C_(18) column(2.1 mm × 100 mm, 1.7 μm) was used, with acetonitrile and a water solution containing 0.1% formic acid and 0.1% phosphoric acid as the mobile phase for gradient elution. The detection wavelength was set at 330 nm, with a flow rate of 0.4 mL·min(-1), and the column temperature was maintained at 35 ℃. The 8 components demonstrated good linearity(r≥0.999 9) over a wide mass concentration range(50 or 100 times). The average recovery rate ranged from 97.5% to 105.1%, and the relative standard deviations(RSDs) were 0.90% to 3.4%(n= 6), indicating that the method was simple, accurate, and reliable. In 17 batches of D. moldavica samples, the content of these 8 components ranged from 0.405 to 2.10, 0.063 to 0.342, 0.446 to 2.43, 0.415 to 1.47, 1.57 to 4.34, 0.173 to 0.386, 1.00 to 5.40, and 0.069 to 0.207 mg·g(-1), respectively. These results indicate significant differences in the internal quality of the samples, highlighting the need for strict quality control to ensure their pharmacodynamic efficacy. This study provides a scientific basis for the rapid discovery of pharmacodynamic substances, comprehensive quality control, and the formulation or revision of quality standards for D. moldavica.
采用超高效液相色谱-四极杆飞行时间质谱联用技术(UPLC-Q-TOF-MS/MS)快速鉴定出香青兰中的化学成分,并用超高效液相色谱法测定其主要成分的含量。质谱分析采用电喷雾电离(ESI)源,数据采集采用负离子模式。通过比较对照品的保留时间和质谱图,并使用自建化合物数据库和PubChem数据库,从香青兰中鉴定出68种化合物,包括36种黄酮类化合物、22种苯丙素类化合物、4种酚类化合物和6种其他化合物。在此基础上,建立了同时测定8种主要成分,即木犀草素-7-O-葡萄糖醛酸苷、芹菜素-7-O-葡萄糖醛酸苷、迷迭香酸、香叶木素-7-O-葡萄糖醛酸苷、田蓟苷、刺槐素-7-O-葡萄糖醛酸苷、刺槐素-7-O-(6″-O-丙二酰基)-葡萄糖苷和刺槐素含量的UPLC定量方法。采用Waters ACQUITY BEH C18色谱柱(2.1 mm×100 mm,1.7μm),以乙腈和含0.1%甲酸与0.1%磷酸的水溶液为流动相进行梯度洗脱。检测波长设定为330 nm,流速为0.4 mL·min-1,柱温保持在35℃。这8种成分在较宽的质量浓度范围(50或100倍)内呈现良好的线性关系(r≥0.999 9)。平均回收率在97.5%至105.1%之间,相对标准偏差(RSDs)为0.90%至3.4%(n = 6),表明该方法简便、准确、可靠。在17批香青兰样品中,这8种成分的含量分别为0.405至2.10、0.063至0.342、0.446至2.43、0.415至1.47、1.57至4.34、0.173至0.386、1.00至5.40和0.069至0.207 mg·g-1。这些结果表明样品的内在质量存在显著差异,突出了严格质量控制以确保其药效的必要性。本研究为香青兰药效物质的快速发现、全面质量控制以及质量标准的制定或修订提供了科学依据。