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ObjectiveTo evaluate the quality of Mori Cortex from different producing areas by the entropy weight-technique for order preference by similarity to an ideal solution（TOPSIS）， and to provide a new evaluation method for the quality control of Mori Cortex. MethodAccording to the five key indexes of color， thickness， texture， powdery and cortex remain， a subjective scoring table was designed to evaluate the appearance of Mori Cortex. High performance liquid chromatography（HPLC） was used to determine the fingerprint and the contents of multiple components（mulberroside A， chlorogenic acid， oxyresveratrol， mulberroside C， sanggenone D， sanggenone C， morusin）， and chemometrics was used to explore the differential components of Mori Cortex from different habitats. On this basis， TOPSIS was used to comprehensively evaluate the quality of Mori Cortex from different habitats， and SPSS 22.0 software was used to carry out bivariate correlation analysis between thickness and appearance color with contents of seven components of Mori Cortex. ResultThose with lighter color， thicker root bark， tougher texture， sufficient powder and less cortex remain scored higher， and the top five were all from Anhui. The established fingerprint and determination methods were stable and reliable. Partial least squares-discriminant analysis（PLS-DA） screened three components with the variable importance in the projection（VIP） value>1（mulberroside A， sanggenone D， sanggenone C）， which made an important contribution to the difference in the origin of Mori Cortex. Correlation analysis showed that there was a significantly positive correlation between mulberroside C with lightness value（L*） and total chromaticity value（E*ab） and mulberroside A with yellow-blue value（b*）（P<0.05， P<0.01）， a significantly negative correlation between sanggenone C with b* and between morusin with L*（P<0.05， P<0.01）. And there was a significantly negative correlation between mulberroside A， chlorogenic acid， and morusin with thickness（P<0.01）， a clearly negative correlation between sanggenone D with thickness（P<0.05）， a significantly positive correlation between sanggenone C with thickness（P<0.01）. TOPSIS comprehensive scores showed that the samples from Anhui had a good score and ranked high. ConclusionThere are great differences in the quality of Mori Cortex from different habitats， and those with the close habitats show similar characteristics in appearance and component content， and lighter color and less cortex were positively correlated with the quality. Among them， the quality of Mori Cortex from Anhui is relatively good.
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OBJECTIVE：To establish a meth od for the simultaneous determination of 7 active components in Mori Australis Cortex and Mori Cortex from different sources in Chongqing area ，so as to provide reference for improving the quality control standards of Mori Australis Cortex and Mori Cortex and comparing the equivalence of their quality. METHODS ：HPLC method was used to determine the contents of neochlorogenic acid ，mulberroside A ，chlorogenic acid ，astragalin，kaempferol，morusin and isoquercetin in 58 batches of Mori Australis Cortex and Mori Cortex. The chromatographic column was Diamonsil C 18 with mobile phase consisted of 0.1％ formic acid solution-acetonitrile （gradient elution ） at the flow rate of 1.0 mL/min. The detection wavelength was 280 nm，column temperature was 30 ℃，and the injection volume was 10 μL. Using SPSS 22.0 software， independent sample t-test，principal component analysis and cluster analysis were used to analyze the content difference of the above-mentioned 7 active components in Mori Australis Cortex and Mori Cortex. RESULTS ：There was a good linear relationship between the peak area and the concentration of the above 7 active components （r≥0.999 0）. The RSDs of precision ，stability（24 h），repeatability，durability and recovery were less than 3％. The average contents of neochlorogenic acid ，mulberroside A ， chlorogenic acid ， astragalin， kaempferol， morusin and 023-58576130。E-mail：1025473978@qq.com isoquercetin in Mori Australis Cortex were 0.304，22.462， 1.730，1.308，1.593，2.842 and 0.657 mg/g，respectively. Those of Mori Cortex were 0.305，22.995，2.486，2.438， 2.916，4.158 and 1.264 mg/g，respectively. The results of independent sample t-test showed that only the content of kaempferol in the above 7 active components of Mori Australis Cortex and Mori Cortex had significant difference （P＜0.05）. The results of principal component analysis and cluster analysis showed that there was no significant difference in the contents of above 7 active components between Mori Australis Cortex and Mori Cortex. CONCLUSIONS：The established HPLC method is simple ，sensitive and accurate ，which can provide a reference for improving the quality control standard of Mori Australis Cortex and Mori Cortex. Mori Australis Cortex and Mori Cortex have certain quality equivalence in main active components ，and the Mori Australis Cortex from M. australis and M. cathayana can be used as a substitute for the Mori Cortex.
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Objective: To establish the HPLC fingerprint and the determination method of three index components of the classical herbal formula substance benchmarks of Xiebai Powder. Methods: Fingerprint chromatographic conditions were as following: detection wavelength 254 nm/325 nm, column temperature 35 ℃; flow rate 0.8 mL/min; injection volume 25 μL; mobile phase consisting of 0.1% aqueous formic acid (A) and acetonitrile (B); binary gradient elution: 0-20 min, 5%-10% B; 20-33 min, 10%-15% B; 33-50 min, 15%-20% B; 50-95 min, 20%-58% B. Ten batches of substance benchmarks of Xiebai Powder fingerprints were collected and evaluated by the Chinese Pharmacopoeia Committee "Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System 2012 Edition" software. Chromatographic conditions of content determination: detection wavelength 237 nm, column temperature 30 ℃; flow rate 1.0 mL/min; injection volume 5 μL; mobile phase consisting of 0.1% aqueous phosphoric acid (A) and acetonitrile (B) for binary gradient elution: 0-10 min, 5%-20% B; 10-18 min, 20%-60% B; 18-26 min, 60%-100% B; 26-38 min, 100% B; 38-41 min, 100%-5% B; 41-45 min, 5% B. Results: Based on the matching results, 55 common peaks were determined at a wavelength of 254 nm, and 57 common peaks were determined at a wavelength of 325 nm. Three substances, mulberroside A (S), liquiritin and ammonium glycyrrhizinate, were identified in the common peaks. After methodological research, its precision, stability and reproducibility were good. Ten batches of substance benchmarks of Xiebai Powder fingerprints were evaluated with reference fingerprints, and their similarities were greater than 0.9. The average recovery rates of mulberroside A (S), liquiritin and ammonium glycyrrhizinate were 97.82%, 97.40% and 105.81%, respectively. The RSD (n = 6) was 4.41%, 2.51% and 1.19%, respectively, which met the require of 2015 edition of the Chinese Pharmacopoeia. The three components had good linearity in the range of 25.25-2525 ng, 25-2 500 ng and 8.5-850 ng, respectively. The method had good precision, stability and repeatability. The contents of 10 batches of substance benchmarks of Xiebai was determined. The content of mulberry A was 11.6-35.5 mg/g, the content of liquiritin was 0.1-1.6 mg/g, and the content of glycyrrhizic acid was 0.3-2.5 mg/g. The range of the contents of these ingredients was large, which indicated that the quality of mulberry husks and licorice herbs from different places was quite different. Conclusion: The establishment of the HPLC fingerprint and the determination method of three index components of the classical herbal formula substance benchmarks of Xiebai Powder provided some bases for the study of the quality standard of substance benchmarks of Xiebai Powder.
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Objective This study aimed to establish an integral quality control method for Naoxintong capsules based on the theory of quality markers (Q-marker) in traditional Chinese medicine via multivariable statistical calculation and "active compounds-targets" network construction. Methods Multi-statistical methods were firstly carried out to explore the specific components from different batches of Naoxintong Capsules. The "Q-markers-targets-pathways-diseases" network was constructed using the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) online analysis tool, and biological information annotations were made. Moreover, a simultaneously determination method for Q-markers was established by using ultra-high performance liquid chromatography (UPLC). Results Nine compounds were chose as the Naoxintong Q-markers capsules including mulberroside A, hydroxysafflor yellow A, paeoniflorin, ferulic acid, calycosin-7-glucoside, rosemary acid, salvianolic acid B, formononetin, and tanshinone IIA. To verify the prediction, target network construction analysis was performed and indicated that the nine Q-markers mainly targeted five proteins which were PTGIS, PTGS2, CHRNA10, ENPP1, and ADORA2A. Methodological validation showed that the established UPLC method had good linear relationship (r<0.999), and all RSD values were lower than 3% in the repeatability, stability, and precision test. Conclusion Based on the multivariate statistics, network pharmacology analysis, and UPLC multi-component quantitative analysis, a multi-angle analysis method for effective components can be established for the integral quality control of Naoxintong Capsules.
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OBJECTIVE:To establish the method for the simultaneous determination of content of 6 active components as neochlorogenic acid,mulberroside A,chlorogenic acid,astragalin,sanggenon C and morusin in Morus alba,and to provide reference for improving quality control standard of M. alba. METHODS:HPLC method was adopted. The determination was performed on Agilent 5 TC-C18with mobile phase consisted of acetonitrile-0.1% formic acid(gradient elution)at the flow rate of 1 mL/min. The detection wavelength of 280 nm. RESULTS:The mass concentration linear range of neochlorogenic acid, mulberroside A,chlorogenic acid,astragalin,sanggenon C and morusin were 0.001 06-0.042 4,0.001 67-0.066 8,0.007 95-0.318, 0.001 65-0.066 0,0.005 00-0.200 and 0.001 24-0.049 6 mg/mL,respectively(all r≥0.999 6);the limits of quantitation were 0.11, 0.14,0.81,0.17,0.45 and 0.12 μg/mL,respectively;the limits of detection were 0.04,0.05,0.41,0.07,0.18 and 0.04 μg/mL, respectively;RSDs of precision test were 0.26%,0.31%,0.24%,0.27%,0.36% and 0.44%(n=6),respectively;RSDs of stability test were 0.68%,0.54%,0.62%,0.53%,0.41% and 0.73%(n=6),respectively;average method recovery rates were 99.1%,98.8%,98.8%,98.4%,98.5% and 99.9%(RSDs were 0.5%-1.5%,n=9),respectively. CONCLUSIONS:The method is simple,accurate,and can be used for simultaneous determination of 6 active components in M.alba.