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OBJECTIVE：To esta blish a method for determining the contents of lupenone and stigmasterol in the rhizome ，stem and leaf of Mosa basjoo from the same plant ，and to provide reference for the substitute resource for the effective components of M. basjoo . METHODS ：UPLC method was adopted. The determination was performed on Zorbax Rrhd Eclipse Plus C 18 column （100 mm×2.1 mm，1.8 μm）with mobile phase consisted of acetonitrile-methanol （78.5∶21.5，V/V）. The detection wavelength was set at 210 nm；the flow rate was 0.15 mL/min；the column temperature was 30 ℃ and the sample size was 1 μL. The results of content determination of lupinone and stigmasterol in the rhizome ，stem and leaf of 9 batches of M. basjoo from the same plant were analyzed by the methods of comparative analysis between groups ，principal component analysis and cluster analysis. RESULTS：The mass concentration of lupenone and stigmasterol had a good linear relationship with the corresponding peak area within the range of 11.16-357.10 and 8.83-160.40 g/mL（R2 were 0.999 2 and 0.999 1，respectively）. RSDs of precision ， repeatability and stability tests were all less than 3％. The average recovery rates of lupenone and stigmasterol were 101.44％ and 98.32％，and the RSDs were 1.77％ and 1.81％（n＝6），respectively. The average contents of lupenone and stigmasterol in stems of M. Basjoo were significantly higher than those of rhizome and leaves of M. basjoo （P＜0.05）. There was no statistical significance in the contents of lupenone and stigmasterol between stem and leaf of M. basjoo from same plant （P＞0.05）. Results of principal component analysis showed that the contents of lupanone and stigmasterol were different in rhizome ，stem and leaf of M. basjoo from the same plant. Rhizome ，stem and leaf of M. basjoo were divided into three types through cluster analysis ，among which the rhizome had significant difference with the other two parts. CONCLUSIONS ：The method is simple ，rapid，specific， reproducible and accurate. It can be used for the content determination of lupenone and stigmasterol in different parts of M. basjoo . The stem of M. basjoo can replace the rhizome of M. basjoo as the source of lupinone and stigmasterol.
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OBJECTIVE： To establish a UPLC fingerprint of Ficus tikoua. METHODS： UPLC method was adopted. The determination was performed on Waters ACQUITY UPLC BEF C18 column with mobile phase consisted of 0.2％ aqueous acetic acid-acetonitrile （gradient elution）； the detection wavelength was 254 nm； the flow rate was 0.1 mL/min； the column temperature was 25 ℃， and sample size was 2 μL. UPLC fingerprints of 10 batches of samples and 2 batches of adulterants were determined by using No. 14 peak as reference. The similarity evaluation was carried out by using the TCM Chromatographic Fingerprint Similarity Evaluation System （2012 edition） so as to determine common peak. The cluster analysis was performed by using SPSS 20.0 software. SIMCA 13.1 software was used to conduct the principal component analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）. RESULTS： There were 28 common peaks in UPLC fingerprint of 10 batches of F. tikoua. The similarity of 10 batches of F. tikoua was between 0.839 and 0.935， and the similarities of the 2 batches of adulterants were 0.503 and 0.173 respectively， which indicated that F. tikoua could be distinguished from adulterants. 10 batches of F. tikoua could be divided into 2 categories by cluster analysis and principle component analysis， and S3-S5， S9 and S10 were grouped into one category， and the remaining batches were grouped into one category. 7 components with a variable importance in projection （VIP） value ＞1 were screened by OPLS-DA analysis. These 7 components may be the main components that caused the quality difference of 10 batches of F. tikoua samples. CONCLUSIONS： Established fingerprint， cluster analysis， principle component analysis and OPLS-DA can be used for the identification and quality control of F. tikoua.
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OBJECTIVE： To establish HPLC fingerprint of Capsicum annuum，and to conduct cluster analysis and principal component analysis. METHODS： HPLC method was adopted. The determination was performed on Agilent C18 column with mobile phase consisted of methanol-0.2％ phosphoric acid solution （gradient elution） at the flow rate of 1.0 mL/min. The detection wavelength was set at 235 nm， and column temperature was 30 ℃. The sample size was 15 μL. Using capsaicin peak as reference， HPLC fingerprints of 15 batches of C. annuum from different production areas were determined. The similarity evaluation of common peaks was evaluated by using the TCM Chromatographic Fingerprint Similarity Evaluation System （2004 A edition） to confirm common peaks. Cluster analysis and principal component analysis were performed by using SPSS 19.0 software. RESULTS： The similarities were more than 0.95 in HPLC chromatograms of 15 batches of C. annuum. There were 12 common peaks. Its HPLC fingerprint was in good agreement with that of control fingerprint. 15 batches can be divided into three sub-categories as S1， S3-S5， S7， S9-S13 sub-categorie， S2， S14， S15 sub-categorie and S6， S8 sub-categorie. Through the principal component analysis， the cumulative contribution rate of 4 main component factors was 94.093， and comprehensive score of S5 was the highest with the best quality. CONCLUSIONS： Established HPLC fingerprints， cluster analysis and principal component analysis results can provide reference for the quality control of C. annuum.
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OBJECTIVE： To establish HPLC fingerprint of Miao medicine Hedyotis uncinella from Guizhou. METHODS： HPLC method was adopted. The determination was performed on Agilent Eclipse XDB C18 column with mobile phase consisted of acetonitrile-0.2％ phosphoric acid （gradient elution） at the flow rate of 1.0 mL/min. The detection wavelength was set at 235 nm， and column temperature was 25 ℃. The sample size was 15 μL. Using rutin as reference， HPLC chromatograms of 10 batches of H. uncinella from different areas of Guizhou province were determined. Similarity Evaluation System for TCM Chromatographic Fingerprints （2004A edition） was used to identify common peaks and evaluate similarity. RESULTS： There were 12 common peaks in HPLC fingerprints of 10 batches of H. uncinella， and the similarity was higher than 0.90. After validation， HPLC chromatograms of 10 batches of sample were in agreement with control fingerprints. CONCLUSIONS： Established HPLC fingerprints can provide reference for the identification and quality evaluation of H. uncinella.
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OBJECTIVE:To establish the HPLC fingerprint for Blumea balsamifera and its fake B. riparia. METHODS:HPLC was performed on the column of Uitimate-C18 with mobile phase of acetonitrile-0.05% phosphoric acid(gradient elution)at a flow rate of 0.6 mL/min,detection wavelength was 270 nm,column temperature was 25 ℃,and injection volume was 7 μL. Using quercetin as a reference,Similarity Evaluation Software for Chromatographic Fingerprint of Traditional Chinese Medicine(2004 A edition)was used for the common peaks identification and similarity analysis of 16 batches of B. balsamifera and 5 batches of B. ri-paria. RESULTS:There were 61 common peaks in the 16 batches of B. balsamifera,similarity degree was 0.931-0.995,which was higher than the similarity degree of 5 batches of B. riparia. CONCLUSIONS:The established fingerprint can provide reference for the identification and quality evaluation of B. balsamifera.
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Based on a retrospective study design, this article was aimed to discuss the transformation path and method of hospital medical records information into analyzable data, in order to solve the problem of text-based information digitalization, and improve the credibility of statistical results. The hospital medical records information of traditional Chinese medicine (TCM) treatment for infantile cerebral palsy was taken as example. After the identification of research purpose, the study contained 8 steps, which were index identification, index definition, coding and assignment, database design, data entry, quality control, and database locking. The database contained research-related indicators was received. The results showed that a set of path and method based on indicator extraction and conversion of hospital medical records information into data. It was concluded that in the retrospective study design, the conversion of text information into analyzable data was the key step. Extraction and digitalization of indicators should be based on the research plan. Key elements such as the crowd, treatment plan, evaluation indicator, should be paid attention to for the systematic analysis, in order to ensure the system integrity of research indicators.
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This study was aimed to establish an HPLC method for the determination of chlorogenic acid, rutin and kaempferide in Solidago decurrens Lour. A Diamonsil C18 column (4.6 mm í 200 mm, 5 μm) was adopted with the mobile phase of acetonitrile-0.2% phosphoric acid. The flow rate was 1.0 mL·min-1. The column temperature was at 25℃. The wavelength of detection was set at 282 nm. The results showed that the calibration curve was linear over the range of 63.2~442.4 μg for chlorogenic acid (r = 0.999 3), 8.1~56.8 μg for rutin (r = 0.999 4) and 10.8~75.7μg for kaempferide (r = 0.999 8). The average recovery of chlorogenic acid was 98.6% (RSD = 1.4%), that of rutin was 99.2% (RSD = 0.8%) and that of kaempferide was 100.3% (RSD = 1.0%). It was concluded that the method was simple, economical and accurate with good reproducibility.
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This study was aimed to establish the fingerprints of Qian Solidaginis Herba by HPLC. The fingerprints of Qian Solidaginis Herba were built by using Diamonsil C18 (200 mm í 4.6 mm, 5 μm) column and acetonitrile -0.2%H3PO4 aqueous solution in gradient as mobile phase. The flow rate was 1.0 mL·min-1. Detecting wavelength was set at 282 nm. The total 10 batches of Qian Solidaginis Herba samples and their adulterants were analyzed. The results showed that 13 peaks were identified as the fingerprints of Qian Solidaginis Herba. Under chromatographic conditions mentioned above. It was concluded that the HPLC fingerprints method was found to have satisfactory accuracy, sta-bility and reproducibility, which was a potential method for the quality control of Qian Solidaginis Herba.
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AIM: To establish HPLC fingerprint for the identification of Hydrocotyle sibthorpioides and its adulterants. METHODS: The chromatographic seperation was performed on a Diamonsil C_(18) (250 mm×4.6 mm,5 μm)with a mobile phase consisting of acetonitrile-0.1% phosphoric acid, gradient eluent, at the flow rate of 1.0 mL/min. The UV detection was set at 340 nm. RESULTS: There was an apparent difference in fingerprint between Hydrocotyle sibthorpioides and its adulterants. CONCLUSION: The method is stable and reliable with a good reproducibility andprovides a reference standard for identifying Hydrocotyle sibthorpioides and its adulterants.
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AIM:To establish HPLC fingerprint for the root and rhizome of Clematis uncinata Champ and to compare the differences of clematis and Clematis uncinata in fingerprint. METHODS:Based on 10 batches of Clematis unciuata Champ,its chromatographic seperation was performed on Diamonsil C18 (250 mm ? 4. 6 mm,5 ?m)with a mobile phase consisting of acetonitrile -0.05% phosphoric acid,gradient eluent,at the flow rate of 0. 8 mL/min. The UV detection was set at 210 nm. RESULTS:The mutual mode to HPLC-UV fingerprints was set up,and the 23 mutual peaks were indicated. The similarities were compared among Cleuatis uncinata Champ and substitutes collected from different sources there were apparent difference in fingerprint. CONCLUSION:The method is stable and reliable with a good reproducibility and provides a reference standard for identifying medicinal clematis.
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AIM: To establish HPLC fingerprint for the identification of Hydrocotyle sibthorpioides and its adulterants. METHODS: The chromatographic seperation was performed on a Diamonsil C_18(250 mm?4.6 mm,5 ?m)with a mobile phase consisting of acetonitrile-0.1% phosphoric acid,gradient eluent,at the flow rate of 1.0 mL/min.The UV detection was set at 340 nm. RESULTS: There was an apparent difference in fingerprint between Hydrocotyle sibthorpioides and its adulterants. CONCLUSION: The method is stable and reliable with a good reproducibility and provides a reference standard for identifying Hydrocotyle sibthorpioides and its adulterants.