Supervisor(s):Chinese Pharmaceutical Association Sponsor(s):Tianjin Institute of Pharmaceutical Research；Chinese Pharmaceutical Association ISSN:0253-2670 CN:12-1108/R
Chinese Traditional and Herbal Drugs is supervised by Chinese Pharmaceutical Association and sponsored by Tianjin Institute of Pharmaceutical Research and Chinese Pharmaceutical Association. Launched in 1970, the journal is an academic journal with a broad scope in publishing research papers, brief reports, reviews, dissertations, and special treatises on the recent achievements of basic study, production, quality control, and clinic application on traditional Chinese medicine and Chinese materia medica.
The journal is included in CA, JST and CSCD.
Objective To investigate how to rapidly predict coating terminal point in the thin film coating of Tianshu Tablets by near-infrared spectroscopy (NIRS). Methods Firstly, synergy interval partial least square (siPLS) was used to optimize the modeling intervals and the pretreatment methods were screened. Secondly, according to the optimal modeling parameters, the conformity test and similarity matching were used to establish calibration models based on the established reference spectra library. Subsequently, by comparing the similarities between the test spectra and the reference spectra, the threshold value was set. The relation among the similarities, threshold value and the coating end point was obtained. Finally, the performance of the calibration model was verified by the validation set. Results During the coating process, the similarities between the test spectra and the reference spectra were gradually increasing until the similarities of continuous test spectra exceeded the threshold, thus, indicating the end point. Conclusion Conformity test and similarity matching can sensitively monitor the change of similarities among spectra and the corresponding trend. Both models have high performance, which can accurately predict the coating terminal point. It’s of great significance to reduce batch-to-batch variation in film coating and the loss of coating materials, and improve the coating efficiency and the quality uniformity of solid preparation.
Objective To study the effective components and mechanism of action of Dachaihu Decoction (DCHD) in the treatment of pancreatitis due to liver depression and qi stagnation. Methods Based on network pharmacology, the PPI network of Chinese herbs capable of soothing liver and regulating qi and the “Chinese herbs-effective components-key target” network of DCHD in the treatment of pancreatitis due to liver depression and qi stagnation were constructed using Cytoscape 3.6.0. Then the intersections between the two networks were screened out to obtain the “Chinese herbs-effective components-key target” network of DCHD for treating acute pancreatitis due to liver depression and qi stagnation. Results A total of 59 key targets for soothing liver and regulating qi were obtained, including AKT1, VEGFA, and PRSS1. A total of 83 main active components such as quercetin, kaempferol and baicalein were collected from DCHD. The treatment of pancreatitis due to liver depression and qi stagnation relied on 18 targets for liver depression and qi stagnation such as PTGS2, DPP4, and PRSS1, and 30 related biological processes and signaling pathways such as extracellular matric disassembly, IL-17 signaling pathway, and AGE-RAGE signaling pathway in diabetic complications. Conclusion The multiple components in DCHD are the basis for its treatment of pancreatitis via multiple targets. It is worthwhile to explore the Chinese herbal compound based on network pharmacology.
Objective To study the chemical constituents of flavonoids from Radix Glycyrrhizae. Methods The compounds were isolated and purified by column chromatography over HP-20 macroporous resin, silica gel, Sephadex LH-20, and preparative RP-HPLC. Their structures were elucidated by physicochemical properties and spectral analysis. Results Ten flavonoids were isolated and identified as 4′,6,7-trihydroxy-2′-methoxyl-chalcone (1), 3′,4′,5,7-tetrahydroxy-8-(3-hydroxy-3-methylbutyl)-isoflavone (2), isoliquiritigenin (3), isoliquiritin (4), echinatin (5), orobol (6), ononin (7), 2(S)-3′,5′,7-trihydroxyflavanone (8), 2(S)-naringenin-4′-O-β-D-glucopyranoside (9), and 4′,7-dihydroxyflavone (10). Conclusion Compounds 1 and 2 are new compounds named isolicochalcone B and licoisoflavone G, while compound 9 is isolated from the genus for the first time.
Objective To clarify the effect of solution environment on ultrafiltration separation of Panax notoginseng total saponins (PNS) based on the molecular state. Methods In the experiment, the transmittance and surface tension were selected as indexes for analyzing the effect of ethanol, inorganic salts, surfactants, and pH on the molecular state of PNS. Then, ethanol, NaCl, and pH were selected as influencing factors to analyze the separation rule of notoginsenoside R1 (R1) and ginsenoside Rb1 (Rb1). Results The intermolecular interaction of saponins was weakened by increasing the ethanol concentration. The pH value promoted saponin ionization, increased critical micelle concentration, and increased PNS ultrafiltration transmittance. The salting out effect of inorganic salt reduced the critical micelle concentration and PNS transmittance. The surfactant type was related to the ultrafiltration separation behavior of PNS. Rb1 was more sensitive to the factors than R1 by response surface methodology. Conclusion The effect of solution environmental factors on the ultrafiltration separation of PNS was clarified by the combination of single factor analysis and response surface methodology. The saponins can be separated purposefully by dynamically adjusting the molecular state.
Objective To establish the fingerprint of Buyang Huanwu Decoction (BHD) based on core-shell column for its quality control. Methods The extract of BHD was separated on an Agilent Poroshell 120 SB-C18 (150 mm × 4.6 mm, 2.7 μm) with a gradient elution. The mobile phase consisted of acetonitrile–0.1% formic acid. The detection wavelength was 280 nm. The similarity evaluation of 15 batches of BHD was carried out by the “Similarity Evaluation System for Chromatographic Fingerprints of TCM”. HPLC-Q-Orbitrap HRMS/MS was used to characterize the 21 chemical compounds of the extract of BHD. Results The chromatographic fingerprints of 15 batches of BHD were generated 21 common peaks (P1-P21), belonging to all seven medicinal herbs in 38 min. Methyl quinate (P4), calycosin-7-O-β-D-glucoside (P11), calycosin-7-O-β-D-glucoside-6″-O-malonate (P13), ononin (P15), (6αR,11αR)-9,10-dimethoxypterocarpan-3-O-β-D-glucoside (P16), isomucronulatol-7-O-β-D-glucoside (P17), calycosin (P18), formononetin (P19), (6αR,11αR)-9,10-dimethoxypterocarpan (P20), and isomucronulatol (P21) were from Radix Astragali seu Hedysari. Succinyl adenosine (P3), 6-hydroxykaempferol-3,6-diglucoside (P5), and kaempferol-3-O-sophoroside (P10) were from Flos Carthami. Gallic acid (P2) and paeoniflorin (P9) were from Radix Paeoniae Rubra. Vanillic acid (P7) was from Radix Angelicae Sinensis. Guanosine (P1) was from Lumbricus. Amygdalin (P6) and prunasin (P8) were from Semen Persicae. Ferulic acid (P12) and senkyunolide H (P14) were from Radix Angelicae Sinensis and Rhizoma Ligustici Chuanxiong. A total of 21 components were identified by UHPLC-Q-Orbitrap HRMS/MS. It was the first time to establish the UHPLC fingerprint of BHD by core-shell chromatography technology. Conclusion The method is simple and accurate with a good reproducibility and time consuming, which will provide a basis for the further research on effective constituents in BHD.
