A chiral liquid chromatography-mass spectrometry (LC-MS/MS) approach was developed and verified for the first time in order to quantify the three alkaloids, namely tetrahydropalmatine (THP), tetrahydroberberine (THB) and tetrahydrocoptisine (THC) in Rhizoma Corydalis. Solid-phase extraction was used to prepare sample solution. Enantiomeric separation was obtained on a Chiralpak IC column using acetonitrile-water-ammonia (90:10: 0.1, v/v/v) as mobile phase. The detection was carried out in multiple reaction monitoring (MRM) mode with positive electrospray ionization source. Transitions of m/z 356.0→192.0, m/z 340.0→176.0 and m/z 324.1→176.0 were monitored for THP, THB and THC respectively. All calibration curves showed good linearity (r ≥0.9994) within the test ranges. The lower limit of quantification (LLOQ) was 1.0 ng mL and 1.5 ng mL for (+)- and (-)-THP, 1.0 ng mL and 3.0 ng mL for (+)- and (-)-THB, 1.5 ng mLand 1.8 ng mL for (+)- and (-)-THC, respectively. The precision, repeatability, and stability tests all meet the requirements. The average recoveries of the analytes ranged from 98.9 % to 101.3 %. Ultimately, the established method was successfully applied to the quantitative analysis of these alkaloid enantiomers extracted from Rhizoma Corydalis of different habitats.
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http://dx.doi.org/10.1016/j.jpba.2022.115008 | DOI Listing |
Acta Pharmacol Sin
January 2025
The Fifth Affiliated Hospital, Guangdong Province & NMPA & State Key Laboratory, School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, 511436, China.
Vascular smooth muscle cell (VSMC) phenotypic switching plays a crucial role in the initiation and progression of atherosclerosis. Dehydrocorydaline (DHC), a major active component of the traditional Chinese herbal medicine Rhizoma Corydalis, exhibits diverse pharmacological effects. However, its impact on VSMCs remains largely unknown.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
November 2024
Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital,Beijing University of Chinese Medicine Beijing 100700, China College of Pharmacy, Qinghai Minzu University Xining 810007, China.
Corydalis Rhizoma is a commonly used traditional Chinese medicine(TCM) for regulating Qi and relieving pain in clinical practice, with remarkable efficacy. However, its pharmacodynamic substances are not yet fully understood and require further research. In this study, 24 compounds were isolated and identified from the aqueous extracts of vinegar-processed Corydalis Rhizoma using techniques such as macroporous adsorption resin column chromatography, Sephadex LH-20 column chromatography, and semi-preparative high-performance liquid chromatography.
View Article and Find Full Text PDFFront Microbiol
December 2024
Basic Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Background And Objectives: Given the widespread dysbiosis of gut microbiota in patients with T2DM, it has been found that the microbiota-gut-brain axis plays an influential regulatory role in diabetic cognitive dysfunction, and improving gut dysbiosis may be a potential strategy for treating diabetic cognitive dysfunction. Total Alkaloids of Rhizoma Corydalis (TAC) is the main active component extracted from Rhizoma Corydalis. Pharmacological studies have demonstrated its significant pharmacological effects on the cardiovascular and cerebrovascular systems, and berberine, the main component of TAC, has a certain regulatory effect on gut microbiota.
View Article and Find Full Text PDFJ Sep Sci
November 2024
College of Pharmacy, Guangxi University of Chinese Medicine, Nanning, China.
J Chromatogr A
October 2024
Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; Jiangxi Provincial Key Laboratory for Pharmacodynamic Material Basis of Traditional Chinese Medicine, Ganjiang Chinese Medicine Innovation Center, Nanchang 330000, China.
Efficiently mining and identification of new compounds from the extensive MS/MS datasets of plant extracts poses a significant challenge due to the structural diversity and compositional complexity inherent in natural products (NPs). Various data post-processing techniques have been developed to simplify the interpretation of MS/MS data; however, they often suffer from limited specificity and precision. Meanwhile, structure annotation following data post-processing is particularly time-consuming.
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