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 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 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.

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 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 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 esta blish a UPLC fingerprint of Pyrrosia petiolosa from southwest China ，and to determine the contents of 4 kinds of phenolic acids （neochlorogenic acid ，caffeic acid ，chlorogenic acid and cryptochlorogenic acid ）. METHODS：The determination was performed on Waters Cortecs T 3 C18 column（100 mm×2.1 mm，1.6 μm）with mobile phase consisted of methanol- 0.1％ phosphoric acid （gradient elution ）at the flow rate of 0.35 mL/min. The detection wavelength was set at 326 nm. The column temperature was 30 ℃，and injection volume was 1 μL. UPLC method was used to establish the UPLC fingerprint of P. petiolosa in combination with the Similarity Evaluation System of TCM Chromatographic Fingerprints （2012 edition）. Cluster analysis and principle component analysis （PCA）were performed by using SPSS 20.0 software. The contents of 4 kinds of phenolic acids in 20 batches of P. petiolosa were determined by external standard method. RESULTS ：There were 9 common peaks for the UPLC fingerprint of P. petiolosa . Peaks 1，3，4，5 and 9 were identified as neochlorogenic acid ，caffeic acid，chlorogenic acid ，cryptochlorogenic acid and isochlorogenic acid C ，respectively. RSDs of the relative retention time of each peak in different batches of P. petiolosa were 0-0.68％，and the RSDs of the relative peak area were 0-62.35％. The similarities between the fingerprint of 20 batches of medicinal materials and the control chromatogram were not less than 0.990. The result of cluster analysis showed that P. petiolosa from different regions could be sorted into three species. Results of PCA showed the differences among P. petiolosa from different regions. The linear range of neochlorogenic acid ，caffeic acid ，chlorogenic acid and cryptochlorogenic acid were 0.61-61.41，0.18-17.60，2.00-200.11，0.62-61.51 μ g/mL （R2＞0.999 9）. RSDs of precision ， reproducibility and stability tests were all lower than 2.00％. The recoveries were 96.23％-98.17％（RSD＝0.96％-2.28％， n＝6）. Among 20 batches of samples ，the contents of above 4 kinds of phenolic acids were 0.385 3-1.891 9，0.018 0-0.129 5，2.569 5-10.676 0，0.563.5-1.860 5 mg/g. CONCLUSIONS ： The established UPL C fingerprint could reflect the main chemical constituents of P. pedunculata . Phenolic acids could be used as the main evaluation indexes for the quality of P. petiolosa . The quality order of P. petiolosa from southwest China was Chongqing product＞Sichuan product ＞Guizhou product.

OBJECTIVE：To compare the c hemical components differences of Inula japonica before and after honey-frying. METHODS：UPLC-MS/MS method was adopted. The determination was performed on Waters ACQUITY UPLC BEH C 18 column with mobile phase consisted of 0.1％ formic acid-acetonitrile （gradient elution ）at the flow rate of 0.3 mL/min. The column temperature was set at 30 ℃，and sample size was 5 µL. The electrospray ion source was scanned by positive ion mode. The first order mass spectrometry scanning range was m/z 70-1 050，the second order mass spectrometry scanning range was m/z 50-1 050， and the normalized collision energy was 40，60 eV ；mass spectrum type was the peak figure ，the flow rate of sheath gas was 35 arb，the auxiliary airflow speed was 10 arb，the spray voltage was 3.80 kV，the S-lens voltage was 50 V，the heating temperature was 350 ℃，and the capillary temperature was 350 ℃. The components were identified by Qual Browser 4.1.39.1 software， referring to the online high-resolution database mzCloud and local database OTCML of high-resolution mass spectrometry of TCM ， and combined with relevant literature. The principal component analysis （PCA）and orthogonal partial least squared-discriminant analysis（OPLS-DA）of I. japonica before and after honey-fried were performed by using SIMCA 14.1 statistical software ，and variable importance projection （VIP）value greater than 1 was used as the standard to screen the differential components before and after honey-frying. RESULTS ：A total of 29 common chemical components were identified from I. japonica and honey-fried I. japonica，including 5 phenolic acids as 1-caffeoylquinic acid ，chlorogenic acid and 3，5-dicaffeoylquinic acid ，12 flavonoids as quercetin，luteolin and evamectin ，as well as 12 sesquiterpene lactones as 1-O-acetylinula diester ，inula bicolor lactone B and 1-O-acetyl-6-O-isobutyryl inulin. The results of PCA showed that I. japonica and honey-fried I. japonica were located on both sides of the score diagram respectively. The results of OPLS-DA showed that the VIP values of 7 components were greater than 1，which were peak 19（britanin），peak 6（quercetagitrin），peak 1（1-caffeoylquinic acid ），peak 21（vitexicarpin），peak 20（tomentosin）， peak 13（spinacetin）and peak 3（daphnetin）. CONCLUSIONS ：After honey-fried ，the content of chemical components of I. japonica changed and decreased to a certain extent. Britanin ，quercetagitrin，1-caffeoylquinic acid ，tomentosin，vitexicarpin， spinacetin and daphnetin may be the differential components of I. japonica and honey-fried I. japonica .

OBJECTIVE：To compare the chemical components in Sinapis alba before and after stir-frying. METHODS ： UPLC-Q-Exactive Obitrap MS was adopted to analyze chemical constituents of S. alba before and after stir-frying. The determination was performed on Waters CORTECS T 3 column with mobile phase consisted of methanol- 0.1％ formic acid solution （gradient elution ）at the flow rate of 0.25 mL/min. The column temperature was 30 ℃ and the sample size was 2 μL. High resolution MS adopted heating electrospray electron source ，positive ion scanning mode ，scanning range m/z 120-1 000. The chemical constituents of S. alba before and after stir-frying were identified by Compound Discover 3.2 software combined with relevant database ，and the content changes of chemical constituents were analyzed by using peak area. Chemometrics analysis was performed for the content changes of chemical constituents using peak area as variable. RESULTS ：A total of 54 chemical components were identified in S. alba ，mainly fatty acids （represented by erucic acid ），alkaloids（represented by sinapine ）， flavonoids. After stir-frying ，the contents of 19 chemical components changed significantly ，of which the contents of 10 components decreased significantly and those of 9 components increased significantly （P＜0.05）. Principal component analysis and orthogonal partial least squares discriminant analysis could clearly distinguish S. alba from stir-fried S. alba . CONCLUSIONS ：The contents of some chemical components of S. alba change significantly after stir-frying ，which may be one of the important reasons for the change of efficacy after stir-frying.