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Objective:To establish the high performance liquid chromatography (HPLC)fingerprints of Zhuanggu Guanjie Pills, which provided the basis for its quality evaluation.Methods:HPLC was used with Agilent Eclipse XDB-C 18 column (4.6 mm×250 mm, 5 μm);mobile phase was acetonitrile-0.1% acetic acid water; gradient elution; flow rate was 1 ml/min; column temperature was at 35 ℃; detection wavelength was 254 nm; injection volume was 10 μl. The HPLC fingerprints of 15 batches of Zhuanggu Guanjie Pills were established and similarity analysis was carried out, and the contents of 18 components were estimated. Results:In the fingerprint study, isopsoralen was used as the reference peak, 40 common peaks were marked and 18 peaks were identified and the similarity between the fingerprints of 15 batches of Zhuanggu Guanjie Pills and the control fingerprints was greater than 0.99.Conclusion:This method is easy to operate and has high accuracy, which can provide basis and reference for the quality evaluation of Zhuanggu Guanjie Pills.
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Objective To establish the method for the simultaneous determination of hypoxanthine, inosine, guanosine and adenosine in Dilong formula granules by HPLC and compare the fingerprints of Dilong formula granules from different manufacturers by HPLC chromatogram. Methods The contents of hypoxanthine, inosine, guanosine and adenosine were determined by Thermo AcclaimTM120C18 column (4.6 mm×250 mm 5 μm). The mobile phase was acetonitrile-water. Gradient elution with flow rate of 0.6 ml/min was used. Column temperature was 25 ℃. Detection wavelength was 254 nm. 10 batches of samples were tested. The HPLC chromatogram were compared and analyzed by using the similarity Evaluation system of chromatographic fingerprint of traditional Chinese Medicine (version 2012.130723). Results The linear ranges for the detection of hypoxanthine, inosine, guanosine and adenosine showed good linear relationships within their own ranges (r≥0.999 9). The average recoveries were 99.20%~102.98% with RSD of 0.26 %~0.71%. The contents of 4 components in 10 batches of samples were 0.740 0~4.457 4 mg/g, 2.132 3~7.805 0 mg/g, 0.325 4~1.596 1 mg/g, 0.537 2~2.222 9 mg/g respectively. The similarity between HPLC chromatogram and control fingerprints of Dilong formula granules from different manufacturers was greater than 0.91. Conclusion The method could be used to determine the contents of hypoxanthine, inosine, guanosine and adenosine in Dilong formula granule. HPLC fingerprints could be used to evaluation the quality in Dilong formula granule. The similarity of HPLC fingerprints from different manufacturer production of Dilong formula granule is high, but 4 contents in composition are difference.
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Qijiao Shengbai Capsules(QJ) can invigorate Qi and replenish the blood, which is commonly used clinically for adjuvant treatment of cancer and leukopenia due to chemoradiotherapy. However, the pharmacological mechanism of QJ is still unclear. This work aims to combine the high-performance liquid chromatography(HPLC) fingerprints and network pharmacology to clarify the effective components and mechanism of QJ. The HPLC fingerprints of 20 batches of QJ were established. The similarity evaluation among 20 batches of QJ was performed by using Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(version 2012), resulting in a similarity greater than 0.97. Eleven common peaks were identified by reference standard, including ferulic acid, calycosin 7-O-glucoside, ononin, calycosin, epimedin A, epimedin B, epimedin C, icariin, formononetin, baohuoside I, and Z-ligustilide. The "component-target-pathway" network was constructed by network pharmacy, and 10 key components in QJ were identified, such as ferulic acid, calycosin 7-O-glucoside, ononin, and calycosin. The components were involved in the phosphoinositide 3 kinase-protein kinase B(PI3K-Akt), mitogen-activated protein kinase(MAPK), and other signaling pathways by regulating potential targets, including EGFR, RAF1, PIK3R1, and RELA, to auxiliarily treat tumors, cancers, and leukopenia. The molecular docking conducted on the AutoDock Vina platform confirmed the high binding activity of 10 key effective components with core targets, with the binding energy less than-5 kcal·mol~(-1). In this study, the effective components and mechanism of QJ have been preliminary revealed based on HPLC fingerprint and network pharmacology, which provided a basis for quality control of QJ and a refe-rence for further study on its mechanism.
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Network Pharmacology , Capsules , Molecular Docking Simulation , Phosphatidylinositol 3-Kinases , Drugs, Chinese Herbal/pharmacologyABSTRACT
Galli Gigerii Endothelium Corneum(GGEC), the dried gizzard membrane of Gallus gallus domesticus is a Chinese medicinal material commonly used for digestion. However, due to the particularity of texture and composition, its active ingre-dients have not been clarified so far, and there is also a lack of quality evaluation indicators. In this study, UPLC-Q-TOF-MS was used to analyze the chemical components from the water extract of GGEC, and ten nucleosides were identified for the first time. HPLC fingerprints of the water extracts of GGEC were established and the content of seven nucleosides was determined. The fingerprint similarities of 40 batches of GGEC samples ranged from 0.765 to 0.959, indicating that there were great differences among the GGEC products processed with different methods. In addition, SPSS 22.0 and SIMCA 14.1 were used for hierarchical cluster analysis(HCA) and principal component analysis(PCA) on the 19 common peaks of the HPLC fingerprints of GGEC, and the 40 batches of samples were divided into three categories: raw GGEC, fried GGEC and vinegar-processed GGEC. Eight differential components in GGEC were marked by orthogonal partial least squares discrimination analysis(OPLS-DA), two of which were adenine and thymine. The results of content determination showed that the total content of the seven nucleosides in raw GGEC, fried GGEC and vinegar-processed GGEC were 182.5-416.8, 205.3-368.7, and 194.2-283.0 μg·g~(-1), respectively. There were significant differences in the content of hypoxanthine, thymine and thymidine among the GGEC products processed with different methods(P<0.05), which were graded in the order of fried GGEC>vinegar-processed GGEC>raw GGEC. This suggested that the content of hypoxanthine, thymine and thymidine tended to increase during the frying process, and the variation range might be related to the degree of heat exposure. The established methods in this study were simple and reproducible, and could be used for qualitative and quantitative analysis of GGEC and its processed pro-ducts. This study also provided reference for the establishment of quality standards of GGEC with chemical components as control index.
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Nucleosides , Drugs, Chinese Herbal/chemistry , Chromatography, High Pressure Liquid , Acetic Acid , Thymine , Thymidine , Water , HypoxanthinesABSTRACT
OBJECTIVE To establish the fingerprint and multi-component content determination method of Crataegus pinnatifida leaves from different producing areas， and to evaluate the quality of C. pinnatifida leaves and screen the differential markers. METHODS Seventy-eight batches of C. pinnatifida leaves were collected from Chengde of Hebei Province， Huludao of Liaoning Province， Yuncheng of Shanxi Province and Linyi of Shandong Province. High-performance liquid chromatography （HPLC） and Similarity Evaluation System for Traditional Chinese Medicine Chromatographic Fingerprints （2012 edition） were used to draw the fingerprints and conduct similarity evaluation. Grey correlation analysis， cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed by using SPSS 19.0， MetaboAnalyst 5.0 and SIMCA 14.1 software. The differential markers affecting the quality of C. pinnatifida leaves were screened with variable importance in the projection （VIP） value greater than 1 and the error line not exceeding the origin as the criterion. Using vitexin rhamnoside as an internal reference， the contents of chlorogenic acid， glucosylvitexin， hypericin and isoquercetin in 78 batches of C. pinnatifida leaves were determined by the same HPLC combined with quantitative analysis of multi- components by single-marker （QAMS）， and the results were compared with external standard method. RESULTS Eight common peaks were calibrated in the fingerprints for 78 batches of C. pinnatifida leaves from 4 producing areas. Five known components were identified， including chlorogenic acid （peak 1）， glucosylvitexin （peak 3）， vitexin rhamnoside （peak 4）， hypericin （peak 7） and isoquercetin （peak 8）； their similarities ranged from 0.871 to 0.998. Average relative correlations of samples from Chengde of Hebei Province， Huludao of Liaoning Province， Yuncheng of Shanxi Province and Linyi of Shandong Province were 0.538， 0.528， 0.462 and 0.435， respectively. CA and PCA showed that the samples from Chengde of Hebei Province and Huludao of Liaoning Province were roughly classified into one category， while the samples from Linyi of Shandong Province and Yuncheng of Shanxi Province were roughly classified into one category； VIP values of peak 1， 2， 3 and 5 were all greater than 1. By QAMS， the relative correction factors of chlorogenic acid， glucosylvitexin， hypericin and isoquercetin were 0.401， 0.993， 1.670 and 1.615 （RSD＜2%）. Compared with external standard method， except for isoquercetin in the two batches of samples （S39 and S41）， there was no significant difference in the content of each component in other batches of samples （the relative deviations≤ 5%）. CONCLUSIONS The established fingerprint and QAMS method are simple to operate and can be used to evaluate the quality of C. pinnatifida leaves. The sample from Chengde of Hebei Province is relatively good in quality. Chlorogenic acid （peak 1）， glucosylvitexin （peak 3）， and the corresponding components of peaks 2 and 5 may be differential markers affecting the quality of C. pinnatifida leaves.
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OBJECTIVE To determine the conte nts of 4 main components in Rougui renshen granules ，and to establish the fingerprint and to screen differential markers affecting its quality. METHODS HPLC method was employed to determine the contents of ammonium glycyrrhizinate ，glycyrrhizin，cinnamic acid and cinnamaldehyde. HPLC fingerprints of 10 batches of Rougui renshen granules were established simultaneously. Similarity Evaluation System of Chromatographic Fingerprint of TCM （2012 edition）was used to evaluate the similarity and determine the common peak ；SPSS 25.0 and SIMCA 14.1 software were applied for cluster analysis （CA），principal component analysis （PCA）and partial least square-discriminant analysis （OPLS-DA）. The differential markers affecting sample quality were screened by using the variable importance in projection （VIP）value＞ 1 as standard. RESULTS The methodology of content determination met the relevant requirements. The contents of ammonium glycyrrhizinate，glycyrrhizin，cinnamic acid and cinnamaldehyde were 1.808 4-2.770 0，1.137 2-1.481 4，0.076 5-0.091 8 and 0.130 9-0.478 4 mg/g，respectively. A total of 16 common peaks were found in the fingerprints of 10 batches of Rougui renshen granules. Four chromatographic peaks were identified ，i.e. glycyrrhizin （peak 6），cinnamic acid （peak 10），cinnamaldehyde（peak 11）and ammonium glycyrrhizinate （peak 15）. The similarities of samples were ＞0.95. Results of CA showed that 10 batches of samples could be classified into three categories ：S3 was grouped into one category ；S1-S2，S4-S5 and S 10 were grouped into one category；S6-S9 were grouped into one category. The results of PCA showed that the cumulative contribution rate of the first three principal components was 91.918％，and the classification results were consistent with CA. The results of OPLS-DA showed that the four peaks with VIP value ＞1 were peak 11（cinnamaldehyde），peak 15（ammonium glycyrrhizinate ），peak 6（glycyrrhizin） and peak 9. CONCLUSIONS Established methods of content determination and fingerprint are accurate and reproducible ，and can be used for the quality evaluation of Rougui renshen granules. The components as ammonium glycyrrhizinate ，cinnamaldehyde， glycyrrhizin may be differential markers affecting the quality of Rougui renshen granules.
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OBJECTIVE To establish the fingerprints of Danggui buxue pills a nd the method for the content determination of three indicative constituents （ferulic acid ，calycosin 7-O-β-D-glucoside and astragaloside Ⅳ）. METHODS Fifteen batches of Danggui buxue pills from two manufacturers were analyzed by high performance liquid chromatography （HPLC）. The determination was performed on a Hypersil ODS 2 C18 column with mobile phase consisted of acetonitrile- 0.2％ formic acid （gradient elution ）at the flow rate of 1.0 mL/min. The column temperature was set at 25 ℃，and the sample size was 20 μL. UV detector [detection wavelengths were 250 nm （calycosin 7-O-β-D-glucoside），323 nm （ferulic acid ）] and evaporative light scattering detector （astragaloside Ⅳ）were selected as detectors. HPLC fingerprints of 15 batches of Danggui buxue pills were established with Similarity Evaluation System of TCM Chromatographic Fingerprint （2012 edition）. The chromatographic peaks were identified and assigned by comparing with the chromatogram of the reference substance and reference medicinal material ；the contents of ferulic acid ，calycosin 7-O-β-D-glucoside and astragaloside Ⅳ were also determined. RESULTS There were 33 common peaks in the fingerprints of 15 batches of samples with the similarities not lower than 0.893. Ferulic acid and calycosin 7-O-β-D-glucoside were identified as peak 13 and 15，respectively. Compared with the chromatogram of reference medicinal material，it could be found that peaks 1-3，7，8，10，12，13（ferulic acid ），17-19，27-29，32 and 33 belonged to Angelica sinensis，and peak 14，15（calycosin 7-O-β-D-glucoside），20-23，25 belonged to Astragalus membranaceus . The methodology of content determination met the requirements. The mean contents of ferulic acid ，calycosin 7-O-β-D-glucoside and astragaloside Ⅳ in 15 batches of samples were 0.050 1，0.402 6，0.913 4 mg/g. CONCLUSIONS In this study ，HPLC fingerprints of Danggui buxue pills and the method of HPLC quantitative analysis for three indicative constituents are established. Established methods are accurate，reliable and repeatable.
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The potential quality markers(Q-markers) of Polygoni Perfoliati Herba were studied based on analytic hierarchy process(AHP)-entropy weight method(EWM), network pharmacology, and spectrum-effect relationship analysis. The AHP-EWM was used for quantitative identification of the Q-markers. To be specific, AHP was applied for the weight analysis of the validity, testability, and specificity of the first-level indexes, and EWM for the analysis of the second-level indexes supported by literature and experimental data. Based on literature and network pharmacology, the validity analysis was to study the component-target-disease-efficacy network, and select the components with the strongest correlation with the efficacy of clearing heat and removing toxin, diuresis and alleviating edema, and relieving cough. For the testability analysis, the high performance liquid chromatography(HPLC) and literature research were used to determine the 10 components in Polygoni Perfoliati Herba, and the fingerprints of Polygoni Perfoliati Herba were established at the same time. The specificity analysis was based on the statistics of the number of plants in which the components existed. Thereby, the 11 compounds: quercetin, oleanolic acid, ellagic acid, gallic acid, kaempferol, rutin, esculetin, quercetin-3-O-glucuronide, ursolic acid, protocatechuic acid, and ferulic acid, were identified as potential Q-markers. The 11 compounds were identified to have high anti-inflammatory activity, indicating that the 11 Q-markers may be the functional material basis. The result in this study is expected to serve as a reference for the quality control of Polygoni Perfoliati Herba.
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Analytic Hierarchy Process , Chromatography, High Pressure Liquid , Drugs, Chinese Herbal/pharmacology , Entropy , QuercetinABSTRACT
Fingerprints of 18 batches of substance benchmark of Shentong Zhuyu Decoction(SZD) were established by UPLC under the following conditions: Waters Sun Fire C_(18) column(3.0 mm×150 mm, 3.5 μm), column temperature of 35 ℃, gradient elution with mobile phase of acetonitrile(A)-0.1% phosphoric acid aqueous solution(B) at the flow rate of 0.4 mL·min~(-1), and detection by wavelength switching. A total of 16 common peaks were identified. The similarities among the fingerprints were calculated by Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 Edition) and the result showed they were in the range of 0.911-0.988. Based on the 16 common peaks, cluster analysis(CA), principal component analysis(PCA), and partial least square discriminant analysis(PLS-DA) all categorized the 18 batches of samples into two groups(S1, S2, S5-S8, S14, and S17 in one group, and S1, S2, S5-S8, S14, and S17 in another), and 11 most influential components were screened. Five known components with great difference among samples(hydroxysafflor yellow A, ferulic acid, benzoic acid, ecdysone, and ammonium glycyrrhizinate) were determined. The combination of multi-component content determination and fingerprints can reflect the overall cha-racteristics of the primary standards of SZD, which is simple, feasible, reproducible, and stable. This study can serve as a reference for the quality control of the primary standards of SZD.
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Chromatography, High Pressure Liquid , Drugs, Chinese Herbal/standards , Quality ControlABSTRACT
Objective: Based on trifluoroacetic acid (TFA) hydrolysis, polyacrylamide gel electrophoresis (PAGE) and high performance thin layer chromatography (HPTLC) analysis, the carbohydrate responsible for immunomodulatory activity are used as quality indicators for Astragalus Radix (AR). Methods: In this study, 24 batches of AR from different germplasm resources were selected as the research object, and AR polysaccharides were extracted. PAGE and HPTLC methods were used to analyze the partial acid hydrolyzate of AR polysaccharides and obtain a series of saccharide fingerprints. The data were analyzed by principal component analysis to obtain the difference between AR from different germplasm resources. Results: The results showed that trisaccharide and tetrasaccharide could be used as differential fragments to distinguish AR of different cultivation methods; Disaccharides and trisaccharides can be used as differential fragments to distinguish different species of AR. The immunological activity analysis of the specific oligosaccharide fragment of AR showed that the specific oligosaccharide fragment of AR could promote the secretion of TNF-α, IL-1β, IL-6, and NO in THP-1 cells in a concentration-dependent manner. Conclusion: Both PAGE and HPTLC methods can be used to evaluate AR from different germplasm resources. This study laid the foundation for the quality evaluation of AR medicinal herbs.
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Objective To establish a HPLC fingerprints of Biyuanjing capsules. Methods The column was Agilent SB-C18(4.6mm×250 mm, 5 µm). The mobile phase was acetonitrile-water with gradient elution at a flow rate of 1.0 ml/min. The detection wavelength was 210 nm. The detection time was 80 min. Results The HPLC fingerprints of Biyuanjing capsules were established. Twenty common peaks were confirmed, of which, 15 peaks were belonging to each crude drug and 5 peaks were identified as chemical components. The overall similarity of the fingerprints of 10 batches of samples was above 90% comparing with the control. Conclusion This method can be used for the quality control of Biyuanjing capsules.
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The present work is to analyze the HPLC fingerprints of mulberry-sourced materials(Mori Ramulus, Mori Folium, Muri Cortex, Mori Fructus) using the fingerprint division total statistical moment method and information entropy, and to study the diffe-rences of the chemical components and the overall characteristics of the imprinting template in different parts of mulberry-sourced medicinal materials, so as to provide the basis for finding the effective substances in response to "homologous and different effect" of mulberry(Morus alba). The fingerprints of 24 batches of mulberry-related materials, such as Mori Ramulus, Mori Folium, Muri Cortex, Mori Fructus, were established, and the similarities and differences of the fingerprints were analyzed by calculating the division total statistical moment parameters and information entropy. The AUC_T, MCRT_T, VCRT_T and H values of 24 batches of mulberry-sourced materials were less than 0.05, with significant difference. Among them, all samples showed absorption peaks within 3-11, and 20-24 min, indicating that the four types had the identical or similar chemical composition in the same time period. After 34 min, none of the four types showed absorption peaks. Greater VCRT_T value of the fingerprints of the four kinds was observed at the retention time ranges of 3-4, 16-18, 25-27, and 31-32 min, indicating that the components of the four kinds were significantly different in these time periods; and VCRT_T value of the mulberry was significantly higher than that of the other three kinds of medicinal materials at the retention time windows of 3-4 and 15-17 min; the VCRT_T value of the mulberry white skin was significantly higher at the time windows of 8-10 and 28-30 min; the VCRT_T value of all four kinds was significantly higher within 21-23 min, indicating that the four herbs contain the same or similar components in the chromatogram during this period, but there may be significant differences between the content and the proportion. In addition, the information entropy of mulberry branches is the largest at 7-12, 23-27 min, and that of mulberry fruits is the largest at 2-8 min, which indicates that the components of mulberry branches and mulberry fruits respond greatly in the corresponding period of time, which is also the main peak period of their chemical components. For the chemical components and corresponding efficacy here. The results showed that there are significant differences in the components and contents of mulberry-sourced medicinal materials. The division total statistical moment and information entropy of the total amount of segments can be used to analyze the differences in the components of "homology and different effects", which could provide a more comprehensive analysis method for the determination of quality markers.
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Chromatography, High Pressure Liquid , Entropy , Fruit , Morus , Plant LeavesABSTRACT
The physical properties of powder and granules are the critical quality attributes for the process control of Suhuang Zhike Capsules, a big brand traditional Chinese medicine. This paper took the production of 25 batches of real-world Suhuang Zhike Capsules dry extract powder and granules intermediates as the research object. Firstly, a method for testing the physical properties of Suhuang Zhike Capsules powder and granules with 19 physical indicators was established. The results showed that the granules of dry extract powder after granulation had a smaller particle size, wider particle size distribution range and poor fluidity, which easily caused the problem of over-limit capsule loading. Secondly, correlation analysis, principal component analysis and cluster analysis were used for mathematical statistics. The correlation analysis showed that the density of dry extract powder could affect the chroma and fluidity. At the same time, the particle size in the granules had a stronger effect on the chroma and fluidity than the density. The study also found that the particle size and hygroscopicity of dry extract powder were potentially key physical properties that affected the physical properties of granules. Furthermore, the results of principal component analysis and cluster analysis showed that the consistency of the physical properties between the dry extract powder and intermediate granules was relatively poor. To this end, similarity analysis was carried out, and the quality control method of powder and granules based on physical fingerprint was established. The results showed that the physical fingerprint similarity of 25 batches of dry extract powder was 0.639-0.976, and the physical fingerprint similarity of the gra-nules was 0.716-0.983. With the similarity of 0.85 as the threshold, the batches with abnormal physical properties could be identified. In this study, the process quality control method of Suhuang Zhike Capsules based on the physical properties of powder and granules was established finally, which realized the identification of abnormal batches, and provided a reference for the process quality control of Suhuang Zhike Capsules.
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Capsules , Drugs, Chinese Herbal , Medicine, Chinese Traditional , Powders , Quality ControlABSTRACT
Objective:To establish high performance liquid chromatography （HPLC） fingerprint and multi-component determination for the substance benchmark of Yiweitang， and to evaluate its quality in combination with chemical pattern recognition method. Method:Fifteen batches of substance benchmark of Yiweitang were prepared， the "Chinese medicine chromatographic fingerprint similarity evaluation system" （2012 edition） was used to calculate similarity. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were employed to handle the common peaks for evaluating the quality difference among 15 batches of the substance benchmark. The contents of catalpol， verbascoside and methylophiopogonanone A were determined with mobile phase system of acetonitrile-phosphoric acid solution at detection wavelengths of 210 nm and 334 nm. Result:There were 22 common peaks in HPLC fingerprint of the substance benchmark， among them， peaks 1， 9， 12， 14-17， 19 and 20 belonged to Rehmanniae Radix， peaks 3， 4， 6， 7 and 21 belonged to Glehniae Radix， peaks 5 and 22 belonged to Ophiopogonis Radix， peaks 2 and 18 belonged to Polygonati Odorati Rhiaoma， peak 8 was the common peak of Ophiopogonis Radix and Rehmanniae Radix， peak 10 was shared by Ophiopogonis Radix， Polygonati Odorati Rhiaoma<italic> </italic>and<italic> </italic>Rehmanniae Radix， peak 11 was the common peak of these four herbs， and peak 13 was shared by Polygonati Odorati Rhiaoma and Rehmanniae Radix. The similarities between HPLC fingerprints of 15 batches of the substance benchmark and the control fingerprint were all >0.90， the samples could be divided into four categories by three chemical pattern recognition methods. Quantitative analysis showed that the contents of catalpol， verbascoside and methylophiopogonanone A among 15 batches of samples ranged from 0.37% to 1.14%， 0.002% to 0.054% and 0.016% to 0.079%， respectively. Conclusion:The established fingerprint and determination for the substance benchmark of Yiweitang have good separation and high accuracy， which reflect the overall chemical composition characteristics of Yiweitang， and can provide experimental basis for the further development and quality control of the compound preparations of this famous classical formula.
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Huberantha senjiana (Annonaceae) – an endemic tree of Pakkamalai Reserve Forest Gingee Hills, Tamil Nadu, Indiawas subjected to preliminary phytochemical tests and high-performance liquid chromatography (HPLC) fingerprintchromatogram was established for use in future research. Subsequently, the HPLC-DAD-ESI (+) MS analysis toidentify the common biomarkers revealed the presence of Quercetin, a polyphenolic flavonol in the ethyl acetateextract of the leaves. An isocratic reversed-phase (RP)-HPLC method for the quantification of quercetin was developedwith phenomenex, RP C18 column using mobile phase [(H2O (0.1% formic acid, A); (MeOH: ACN, (40:15v/v), B),40:60 (v/v)] with a flow rate of 0.8 ml/min, detection max at 254 nm with a retention time of 7.58 minutes and wasvalidated according to the International Conference on Harmonization Q2B guidelines. Linearity was achieved withthe concentration range of 5.0–17.5 μg/ml with a R2 value of 0.996. Sensitivity was demonstrated with the limit ofdetection of 2.28 µg/ml and the limit of quantification of 6.92 µg/ml. The robustness was estimated from purposefulchanges in the composition of the mobile phase, wavelength, and flow rate and the limits were Not More Than (NMT)4%. The foliar concentration of quercetin was found to be 0.0055% w/w. The structural confirmation was done by theisolation and characterization by the divergent spectral analysis. This is the first published report on the identification,quantification, and isolation of quercetin in the leaves of H. senjiana species
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<b>Objective::To establish the HPLC fingerprint of aqueous extract of Citri Reticulatae Pericarpium, and research the spectrum-effect relationship in diabetic cognitive dysfunction rats. <b>Method::The HPLC fingerprints of 21 batches of Citri Reticulatae Pericarpium were established, with acetonitrile (A)-0.1%of phosphoric acid (B) as the flow phase for gradient elution. The detection wavelength was 270 nm. Acomparative analysis was performed for the results based on similarity evaluation, SPSS 24.0 two-dimension clustering analysis and SIMCA 14.1 principal component analysis of fingerprint software. Thediabetic rat model wasduplicated by one-time intraperitoneal injection with streptozotocin (STZ) at the dose of 50 mg·kg<sup>-1</sup>. After successful replication of the model, thediabetic rats were given aqueous extract of Citri Reticulatae Pericarpium by gavage. The blood glucose value was determined at regular intervals. The cognitive function was analyzed with Morris water maze experiment at the 12 week. Grey relational analysis (GRA) and partial least squares regression analysis were used to study the spectrum-effect relationship. <b>Result::Totally 16 common peaks of water extract of Citri Reticulatae Pericarpium were confirmed, five substances were identified, and 21 species of Citri Reticulatae Pericarpium of different varieties and origins were divided into 2 categories. Compared with the model group, the blood glucose of rats in each group treated with water extract of Citri Reticulatae Pericarpiumwere reduced, and their cognitive function was improved.According to the grey correlation analysis and the least partial square regression analysis, the peaks No. 19, 15, 4, 17 and 6 were significantly correlated with the cognitive function of diabetic rats. <b>Conclusion::There were some differences in aqueous extract of Citri Reticulatae Pericarpium between different varieties and origins. It is convenient and fast to make a comprehensive quality evaluation of aqueous extract of Citri Reticulatae Pericarpium of different varieties and producing areas by stoichiometry, and aqueous extract of Citri Reticulatae Pericarpium can reduce the blood glucose level and improve the cognitive function of diabetic cognitive dysfunction rats, its mechanisms of action are resultedfrom the joint effects of multiple effective components, and peaks No. 19, 15, 4, 17 and 6 are components closely related to the cognitive function of diabetic rats.
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Objective: To establish HPLC fingerprints of Lagotis integra and Lagotis brevituba which were contained in National Drug Standard and compared to Lagotis ramalana, Lagotis alutacea and Lagotis brachystachya by the established method. Methods: The similarity of HPLC fingerprints of L. integra and L. brevituba was low, so the HPLC fingerprint methods were established for both. The HPLC analysis was performed on Waters X-Bridge C18 (250 mm × 4.6 mm, 5 μm), using acetonitrile and 0.2% formic acid solution as the mobile phase at a flow rate of 1.0 mL/min, the detection wave-length was 328 nm and column temperature was 35 ℃ (L. integra) and 25 ℃ (L. brevituba). Results: There were 14 common peaks in the fingerprint of L. integra, and plantamajoside, hemiphroside B, 10-O-trans-p-methoxycinnamoyl-catalpol and 10-O-[(E)-3,4-dimethoxycinna moyl]-catalpol were standardized. There were 13 common peaks in the fingerprint of L. brevituba, and echinacoside, plantamajoside and acteoside were standardized. The similarity of HPLC fingerprint was more than 0.9 between L. integra and L. alutacea, but the others had low similarity with them. The similarity of HPLC fingerprint was more than 0.9 between L. brevituba from different batches and L. ramalana, while the others had low similarity with them. Conclusion: The established method could effectively identify L. brevituba, L. integra and L. alutacea were advised to be recorded in Medical Standards of the Ministry of Health. Lagotis ramalana could be used as a new base for "Honglian" (origin: Lagotis brevituba).
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Objective: HPLC fingerprints of Banxia Xiexin Decoction (BXD) was established to analyze the quality value transmitting relationship between medical herbs-decoction pieces-whole decoction of Scutellariae Radix (SR) and Coptidis Rhizoma (CR). Methods: BXD was prepared by the decoction method recorded in Treatise on Febrile Diseases. BXD HPLC fingerprints was established, and the characteristic peaks were analyzed; The transfer rate, the dry extract rate and the similarity of fingerprint were used as indicators to analyze the quality value transmitting relationship between medical herbs-decoction pieces-whole decoction of SR and CR. Results: The transfer rate of baicalin from medical herbs to decoction pieces was between 81.08% and 119.82%; The transfer rate of baicalin from decoction pieces to BXD was between 44.55% and 59.05%; The transfer rate of berberine from medical herbs to decoction pieces was between 66.65% and 97.51%; The transfer rate of berberine from decoction pieces to BXD was between 7.83% and 22.93%; And the dry extract rate of the whole decoction was between 12.99% and 17.21%. The similarity of fingerprints of 15 batches of BXD ranged from 0.978 to 0.999. Conclusion: The quality evaluation method established by the fingerprint is applicable to the quality control of medical herbs-decoction pieces-whole decoction of SR and CR, which provides some reference for the establishment of the quality evaluation method of famous classic formula.
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Objective: A fingerprint similarity evaluation method was optimized, and combined with multivariable statistical analysis technology to evaluate the quality consistency of Xiaoyao Tablets comprehensively, systematically, and scientifically. Methods: UPLC fingerprint data of multiple batches of Xiaoyao Tablets were collected, and its similarities were performed by correlation coefficients, angle cosine, euclidean distance, macro qualitative and quantitative similarity, and equivalent coefficient. A similarity evaluation method was selected for product quality evaluation, according to the characteristics of various calculation methods. At the same time, pattern recognition technologies such as principal component analysis (PCA) was used to analyze and evaluate the overall quality of Xiaoyao Tables. Hotelling's T2 and DModX statistics were used to monitor the quality of different batches of products. The similarity calculation and multivariate statistical analysis were combined to evaluate the consistency of the quality of different batches of samples. Results: By analyzing the fingerprint data of 22 common peaks of 14 batches of Xiaoyao Tablets, the quality of products had high consistency evaluated by traditional similarity calculation method. The weighted equivalent coefficient evaluation method was more suitable for product quality evaluation comparing with the traditional similarity evaluation method, as different weight coefficients were set for different indicators according to the peak area information and pharmacological effect and the information reflected was more comprehensive and reasonable. There were no abnormal batches in the 14 batches of samples in the PCA analysis, indicating the quality of products were relatively stable. The upper control limits of Hotelling's T2 and DModX were 25.145 3 and 1.75, respectively. The equivalent coefficient method evaluates the quality of different batches of samples from a macro perspective, and the multivariate statistical analysis analyzes the contribution of each chromatographic peak based on evaluation results. The combination of the two methods can comprehensively evaluate the quality consistency of samples. Conclusion: The similarity evaluation and multivariate statistical analysis method based on fingerprints established in this study can evaluate the quality consistency of samples comprehensively and systematically. The study also provides a reference for the research on quality control of traditional Chinese medicine.
ABSTRACT
Objective: To establish HPLC fingerprints of Qiwei Tangmaishu tablet and simultaneously determine the contents of the six constituents, acteoside, martynoside, calycosin 7-O-β- D-glucopyranoside, schisandrin, formononetin and deoxyschizan- drin. Methods: The analysis of 50% methanol extract of this drug was performed on a 30℃ thermostatic Waters Symmetry C18 column, with the mobile phase comprising of acetonitrile(A)-0.2% formic acid solution(B)flowing at 1.0 ml/min in a gradient elution manner. The detection wavelength was set at 330 nm for acteoside and martynoside, 254 nm for calycosin 7-O-β-D-glucopyranoside, schisandrin, formononetin and deoxyschizandrin. Results: There were thirteen common peaks in the fingerprints of ten batches of samples with the similarities more than 0.9. Acteoside, martynoside, calycosin 7-O-β-D-glucopyranoside, schisandrin, formononetin and deoxyschizandrin showed good linear relationship within the ranges of 1.47-36.75, 0.66-16.50, 0.89-22.25, 2.58-64.50, 1.91-47.75 and 0.77-19.25 μg/ml(r≥0.9993), and their average recoveries were 97.57%, 99.22%, 96.69%, 100.01%, 98.79% and 96.77%, with the RSD of 0.79%, 1.54%, 0.61%, 0.64%, 0.83% and 0.36%, respectively. Conclusion: The established method is easily operable and repeatable, which could be used for quality control of Qiwei Tangmaishu tablet.