Objective:To establish the UPLC fingerprint evaluation system of Viticis Fructus; To comprehensively evaluate the quality of Viticis Fructus and its processed products combining with multivariate statistical methods and compositional variance analysis.Methods:19 batches of Viticis Fructus from different regions were collected and processed by frying process into decoction pieces. The separation was operated on Waters CORTECS T3 C18 chromatographic column (100 mm × 2.1 mm, 1.6 μm). Acetonitrile and 0.1% phosphoric acid water were used as mobile phases for gradient elution, to establish the UPLC fingerprints of Viticis Fructus. The UPLC fingerprints of Viticis Fructus were analyzed using similarity evaluation, principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA). The contents of seven active components in the samples of Viticis Fructus and fried Viticis Fructus were determined.Results:A total of 26 common peaks were identified in the fingerprints of 38 batches of samples, and 7 components were identified. Similarity evaluation results demonstrated that the chemical components of Viticis Fructus from Jingdezhen City, Jiangxi Province, were significantly different from those of other regions. The results of PCA and PLS-DA analysis showed that the chemical components of Viticis Fructus and fried Viticis Fructus could be clearly distinguished, and the processing process had an impact on the components. The results of content determination showed that the contents of some components increased or decreased after frying. The analysis results of grey correlation method and TOPSIS method show that the medicinal materials in Jiujiang City, Jiangxi Province have a high score ranking and stable quality.Conclusion:This study successfully establishes the fingerprints of Viticis Fructus and its processed products, grey correlation method and TOPSIS method analysis revealed the quality differences of samples from different origins, which providing a scientific basis for the quality control and evaluation of Viticis Fructus and its processed products.

Objective:To establish a quality control method for Aiye standard decoction.Methods:The ultra performance liquid chromatogrphy (UPLC) column Waters ACQUITY HSS T3 C18 (2.1 mm×150 mm,1.8 μm) was used to gradient elution by acetonitrile and 0.1% formic acid in water. 16 batches of Aiye standard decoction fingerprints were established by UPLC and the common peaks were determined in the fingerprints. The contents of 12 components were determined. The 16 batches of Aiye standard decoction were analyzed by similarity calculation, hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) for analysis of differential components of Artemisiae Argyi Folium from different origins.Results:A total of 13 common peaks were marked in the fingerprints of 16 batches of Aiye standard decoction, 12 of which were identified by comparison with reference substance, including chlorogenic acid, sochlorogenic acid A, neochlorogenic acid, cryptochlorogenic acid, caffeic acid,1,3-O-Dicaffeoylquinic acid, schaftoside, isochlorogenic acid B,1,5-O-Dicaffeoylquinic acid, isochlorogenic acid C, jaceosidin and eupatilin. Similarity evaluation, PCA and HCA all classified the 16 batches of Aiye standard decoction into 2 categories. Orthogonal partial least squares discriminant analysis screened 5 differential biomarkers from 13 common peaks. The content determination results showed that the phenolic compounds and flavonoids in samples from Hubei were significantly higher than that in samples from other areas.Conclusion:This method can effectively analyze the differences in the quality of Aiye standard decoction from different origins, and provide reference for the formulation of quality standards for Aiye standard decoction and related preparations.

Objective:To establish a method for the determination of triterpenes and nucleosides in Poria based on HPLC; To accurately determine the various bioactive components in Poria.Methods:Similarity evaluation, clustering analysis and principal component analysis were used to analyze the similarities and differences of different medicinal parts of Poria, and the key chromatographic peaks that could reflect the characteristics were found.Results:The Poricoic acid A and dehydroeburiconic acid could be used as the identification basis for Poriae Cutis and White Poria; at the same time, Polyporenic acid C, dehydropachymic acid and dehydrotrametenolic acid could be used to evaluate Rubra Poria and Poriae Cutis; uridine, guanosine and adenosine may be essential ingredients for evaluating the quality of White Poria, Poriae Cutis and Rubra Poria. In different medicinal parts of Poria, the triterpenes were showed significant differences; by contrary, there were little differences among the same medicinal parts.Conclusion:This study reveals the quality differences between different medicinal parts of Poria, which can provide a scientific basis for the rational application and pharmacodynamic standardization of Poria.

ObjectiveTo evaluate the quality of Lygodium japonicum (Thunb.) Sw. (L. japonicum, Hai Jin Sha) by comparing its components without stewed (W) and stewed (S) using ultra-high-performance liquid chromatography (UHPLC) and chemometric analysis. Additionally, network pharmacology was employed to investigate the possible mechanisms of action of L. japonicum in the urinary calculi (UC) treatment.MethodsA fingerprinting method was established to identify components through UHPLC-tandem mass spectrometry. Chemometric techniques were used to compare the L. japonicum extraction methods. Furthermore, various network pharmacological approaches were used to identify and analyze the potential targets of the identified components in relation to UC.ResultsThe W and S extracts were distributed into two distinct clusters. Significant differences in the levels of protocatechuic aldehyde, caffeic acid, and p-coumaric acid were observed between S and W. Network pharmacology analysis revealed that the primary targets of L. japonicum in the UC treatment were serum albumin and epidermal growth factor receptors, with potential active components including protocatechuic acid and caffeic acid.ConclusionThis study comprehensively examined the therapeutic components of L. japonicum before and after boiling, shedding light on its potential mechanisms of action in UC treatment. These findings offer valuable insights into the development and utilization of L. japonicum resources.

Objective:To establish HPLC fingerprints of Aristolochia contorta and honey-processed Aristolochia contorta; To analyze the changes of chemical components before and after honey processing with multivariate statistics; To provide a reference for the study on the toxicity reduction of Aristolochia contorta.Methods:The fingerprints of 11 batches of Aristolochia contorta and honey-processed Aristolochia contorta were established through HPLC. Clustering analysis (HCA), principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and independent sample t-test were used to compare the changes of chemical components of Aristolochia contorta before and after honey processing.Results:The results showed that there were 14 common peaks in the fingerprints of Aristolochia contorta and Aristolochia contorta. 7 common peaks were identified. Both HCA and PCA could clearly distinguish the samples of Aristolochia contorta before and after honey processing. OPLS-DA found and screened 7 differential markers, and the order of difference significance was peak 3 > peak 7 (7-hydroxy aristolochic acid A) > peak 5 (aristolochic acid C)> peak 8 (aristolochic acid D) > peak 6 > peak 2 (Magnolia alkaloid) > peak 14 (aristolochic acid Ⅰ). After honey processing, the content of chemical components represented by peaks 2, 3, 5, 6, 7, 8 and 14 decreased ( P<0.05). Conclusion:This method is simple and specific, which can be used for the fingerprint analysis of Aristolochia contorta and honey-processed Aristolochia contorta, and can effectively distinguish Aristolochia contorta and honey-processed Aristolochia contorta, and provide a reference for the processing research of toxicity reduction of Aristolochia contorta honey processing.

Objective:To establish the ultra-high performance liquid chromatography (UPLC) fingerprint and high performance liquid chromatography (HPLC) content determination method of Curcumae Radix standard decoction; To predict the quality markers of Curcumae Radix standard decoction combined with network pharmacology.Methods:UPLC method was used to establish the fingerprint of Curcumae Radix standard decoction, and the common peaks were determined. Combined with chemical pattern recognition techniques such as similarity analysis and clustering analysis, Curcumae Radix standard decoction from different producing areas was studied, and curcumol was used as an index to determine the content of 24 batches of Curcumae Radix standard decoction. At the same time, network pharmacology was used to predict potential of curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one.Results:A total of 24 batches of Curcumae Radix standard decoction from different habitats were compared and analyzed, and 10 common peaks were calibrated. The similarity of 24 batches of samples ranged from 0.982 to 0.999. Clustering analysis and principal component analysis divided them into three categories. Heat map analysis showed that peak 8 (curcumol) and peak 9 ((1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one) were the main components. The content of curcumol in 24 batches of Curcumae Radix standard decoction was 0.69-1.87 mg/g; curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β- (3-oxobutyl) bicyclo [4.1.0] heptan-3-one may regulate the neuroactive ligand-receptor interaction signaling pathway, calcium signaling, and excitation by regulating neuroactive ligand-receptor interaction signaling pathway, calcium signaling, and excitation. It was preliminarily predicted that curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one were potential quality markers of Curcumae Radix.Conclusion:Curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one are potential quality markers of Curcumae Radix standard decoction, and the established fingerprint can be used for the quality control of Curcumae Radix standard decoction.

Objective:To establish the HPLC fingerprint of Bolbostemmatis Rhizoma standard decoction; To determine the three effective components with similar structure by quantitative analysis of multi-components by single marker (QAMS); To evaluate the quality of Bolbostemmatis Rhizoma standard decoction.Methods:HPLC was adopted to establish the fingerprints of 15 batches of Bolbostemmatis Rhizoma standard decoction. The Chromatographic column was Waters XBridge Phenyl (4.6 mm×250 mm, 5 μm). The mobile phase was acetonitrile-0.1% phosphoric acid solution with gradient elution. Cluster analysis (HCA) and principal component analysis (PCA) were conducted based on the relative peak area of common peaks. The same method as the fingerprint was used to establish QAMS of tubeimoside A, B, C on Bolbostemmatis Rhizoma standard decoction.Results:There were 14 common peaks in the fingerprint of Bolbostemmatis Rhizoma standard decoction. It was confirmed that the peak 3 was L-tryptophan, the peak 11 was tubeimoside B, the peak 12 was tubeimoside C, and the peak 13 was tubeimoside A. 15 batches of Bolbostemmatis Rhizoma standard decoction from different origins were divided into 3 categories by HCA and PCA. There was no significant difference between QAMS and the external standard method (ESM) through the system suitability inspection. Conclusion:This method is accurate, reliable and has good specificity, which can effectively evaluate the quality of Bolbostemmatis Rhizoma standard decoction.

Objective To establish an ultra-high performance liquid chromatography(UPLC)fingerprint and multi-index content determination method of Siraitiae fructus standard decoction.Methods 15 batches of Siraitiae fructus from different producing areas were collected,Siraitiae fructus standard decoction was prepared according to Technical Requirements for Quality Control and Standardization of Traditional Chinese Medicine Formula Granules,and the extract rate was calculated.UPLC was used to establish the fingerprint of 15 batches of Siraitiae fructus standard decoction and determine the contents of 11-O-mogroside V,kaempferitrin and mogroside V,which were the main effective components.The chemometrics analysis was used to evaluate the quality of Siraitiae fructus standard decoction and find possible quality markers.Results The extraction rate of 15 batches Siraitiae fructus standard decoction ranged from 24.79％to 34.95％.There were 16 common peaks in the fingerprint,and 4 components were identified.The Siraitiae fructus standard decoction was divided into 2 categories by chemometrics analysis,among which samples from Liuzhou,Guangxi were in one category and samples from Guilin,Guangxi were in another category.Seven differential markers were screened out under the condition of variable importance projection value,and the order was as follows:peak 8＞peak 7＞peak 5＞peak 12(kaempferitrin)＞peak 1＞peak 13＞peak 4.The contents of kaempferitrin,11-O-mogroside V and mogroside V in samples from Guilin,Guangxi were slightly higher than those in samples from Liuzhou,Guangxi.Conclusion The UPLC fingerprint and content determination method established in this study are feasible,which can provide a basis for the quality evaluation of Siraitiae fructus.The results of principal component analysis show that kaempferol is likely to become a quality marker of Siraitiae fructus.

Objective:To establish the fingerprints of Microctis Folium by ultra high performance liquid chromatography (UPLC); To determine the contents of three flavonoids in the Microctis Folium; To evaluate the quality difference of Microctis Folium from different producing areas. Methods:The fingerprints were performed on Agilent ZORBAX SB C18 column (2.1 mm×150 mm,1.8 μm). The mobile phase was acetonitrile - 0.1 % acetic acid solution with gradient elution at a flow rate of 0.30 ml/min. The column temperature was 30 ℃ and the detection wavelength was 315 nm. The common fingerprint peaks were identified by UPLC-mass spectrometry, and the identification results were confirmed by comparison of reference materials. Waters Cortecs T3 C18 chromatographic column (2.1 mm × 100 mm,1.6 μm) was used for content determination. The mobile phase was methanol-0.1 % formic acid solution with gradient elution at a flow rate of 0.35 ml/min. The column temperature was 30 ℃ and the detection wavelength was 339 nm. The contents of vitexin, isovitexin and narcissoside in 15 batches of Microctis Folium from different habitats were determine. Results:There were 11 common peaks in the fingerprint of Microctis Folium. Identified by mass spectrometry and confirmed by reference substance,10 chemical components were identified, including caffeic acid, p-hydroxycinnamic acid, ferulic acid, vitexin, isovitexin, kaempferol-3-O-rutoside, astragaloside, narcissoside, isorhamnetin-3-O-glucoside and linden glycoside. The similarity between the fingerprints of 15 batches of Microctis Folium and the control fingerprint was greater than 0.95, indicating that the overall similarity of the fingerprints of Microctis Folium from different producing areas was high. The total contents of three active components were 3.23-5.64 mg/g in Yangjiang City, Guangdong, 3.60-5.78 mg/g in Zhanjiang City, Guangdong, 4.68-5.73 mg/g in Yulin City, Guangxi and 3.87-5.21 mg/g in Wuzhishan City, Hainan . There was no significant difference in the content of three active components in different producing areas. Conclusion:The fingerprints and the determination method established in the study are stable and feasible, which can be used for the quality evaluation of Microctis Folium.

Objective:To establish the quality evaluation method of Perillae caulis formula granules based on the three kind of quality indexes of standard decoction. Methods:Eighteen batches of Perillae caulis were collected from different habitats according to different technical requirements, eighteen batches of standard decoction and three batches of formula granules were prepared and the paste-forming rates were calculated. The content of Caffeic acid and Rosmarinic acid were determined and calculated by Ultra High Performance Liquid Chromatography (UPLC). Then the fingerprints of standard decoction of and formula granules of Perillae caulis were established by UPLC . The similarity values of fingerprints between formula granules and standard decoction were calculated. Results:The average paste-forming rate of standard decoction was (7.16±1.97)%. The paste-forming rates of three batches of formula granules were 5.52%, 5.25% and 5.34%, respectively. The average content of Caffeic acid and Rosmarinic acid in standard decoction was (12.06±3.37)mg/g. The contents of three batches of formula granules were 5.52, 5.82, 5.77 mg/g, respectively. Seven common fingerprint peaks were identified in the fingerprints of standard decoction and formula granules, three of which were identified as Caffeic acid, N-Feruloyl Octopus amine and Rosmarinic acid by comparison of reference substance. The fingerprints similarity of Perillae caulis dispensing granules and standard decoction were 1.000, 0.995 and 0.997, respectively. Conclusions:The quality indexes of three batches of formulation granules are consistent with standard decoction. This method can provide basis for the establishment of quality standard of Perillae caulis dispensing granules.