Studies on Chromatography Fingerprint of Hongqi by High-performance Liquid Chromatography

Chromatography fingerprint (CFP) of 10 samples of hongqi were studied. 23 common peaks were analyzed, their average similarity was 97.29%. CFP were positioned with main index composition such as formononetin, calycosin and then the contents of index composition were determined. The character and exclusive of CFP of 10 samples of hongqi were clear. CFP and content determination of index composition of hongqi could be used to evaluate the quality of hongqi comprehensively.

A valid evaluation method for UPLC fingerprint analysis and moisture ratio prediction model:application to microwave vacuum drying of Radix isatidis extract

Background:Drying is a necessary component of traditional Chinese medicine extracts.The heating principle of microwave vacuum drying is different from that of the conventional heat method.However,at present,there is paucity of information on the drying process of traditional Chinese medicine extract by microwave vacuum drying,and the results of such process are unclear.Methods:To study the dynamic changes in the chemical characteristics of microwave vacuum drying under different drying conditions,ultrahigh-performance liquid chromatography fingerprint profiles were established using Radix isatidis extract as a model drug and analyzed using similarity analysis,partial least squares-discriminant analysis,and semi-quantitative analysis.In addition,a backpropagation artificial neural network model was developed to predict the moisture ratio of the drying process.Results:Qualitative results showed that the similarity between different drying conditions was greater than 0.95,and 2 amino acid components(peaks 5 and 6)affected by process fluctuations were screened out.The quantitative results showed that the mass concentration of component 1 fluctuated after drying,while that of component 2 increased.The optimal backpropagation artificial neural network model structure used to predict the moisture ratio was 5-4-1,with regression and mean squared error values of 0.996 and 0.0003,respectively,after training,which were well fitted and had a strong approximation ability.Conclusion:Upon comparison of fingerprints and the evaluation of statistical methods,common components of Radix isatidis extract had little variation under different drying conditions,and the selected components provided a reference for the establishment of process evaluation indexes.The establishment of backpropagation artificial neural network provides a theoretical basis for the application of microwave vacuum drying technology and online monitoring of moisture ratio.

Comparative analysis of four edible mushrooms based on HPLC fingerprint and pattein recognition analysis

A high performance liquid chromatography-ultraviolet(HPLC-UV)fingerprint method for the overall chemical analysis of edible mushrooms was established based on Auricularia heimuer for the first time,and then applied to analyze 60 batches of A.heimuer,Auricularia cornea.Auricularia cornea*Yu Muer’and TremeUa fuciformis.A total of 9 characteristic peaks of A.heimuer.11 characteristic peaks of A.cornea,6 characteristic peaks of A.cornea‘Yu Muer’,and 9 characteristic peaks of I fuciformis were designated.Then,a combinatory analysis,including similarity evaluation,hierarchical cluster analysis and principal component analysis,revealed the chemical consistency and difference between samples from the same and different species.The HPLC fingerprint method established in this paper could be used to characterize the components of A.heimuer,A.cornea,A.cornea‘Yu Muer’,and T.fuciformis and discriminate the 4 edible mushrooms effectively in combination with pattern recognition analysis.

Study on Quality Markers and Action Mechanisms of Inulae Flos on Anti-Hepatitis Through Network Pharmacology and High-Performance Liquid Chromatography Fingerprints

Objective:The objective of the study is to combine network pharmacology with high-performance liquid chromatography(HPLC)to screen for quality markers(Q-markers)of Inulae Flos and predict mechanism on anti-hepatitis.Materials and Methods:Active ingredient library of Inulae Flos is structured using databases and the literature.“Compound-target-pathway”network on anti-hepatitis and protein–protein interaction(PPI)network are constructed using network pharmacology.Next,chromatographic fingerprints of Inulae Flos in 7 origins are obtained through HPLC,and chemometric analysis is implemented to identify chemical markers,which is combined with network pharmacology to identify Q-markers and detect content.Results:1,6-O,O-Diacetylbritannilactone,Ivangustin,and Inulanolide A are key ingredients of Inulae Flos to interact with 82 potential targets related to anti-hepatitis.Furthermore,signal transducer and activator of transcription 3,tumor necrosis factor,interleukin-6,and transcription factor AP-1 are the core targets in the PPI network.Chromatographic fingerprints of the Inulae Flos define 20 common peaks and identify 8 peaks using reference substances.Through partial least square discriminant analysis,7compounds including caffeic acid,chlorogenic acid,and 1,6-O,O-Diacetylbritannilactone were main chemical markers for variability.1,6-O,O-Diacetylbritannilactone is both a key ingredient and exclusive chemical marker.Therefore,1,6-O,O-diacetylbritannilactone is a Q-marker of Inulae Flos,and the average content is 1.82 mg/g.Conclusion:1,6-O,O-diacetylbritannilactone is determined to be a Q-marker of Inulae Flos.

Comprehensive Quality Evaluation of ShuXueNing Injection Employing Quantitative High-Performance Liquid Chromatography Fingerprint and Chemometrics

Objective:In this study,a comprehensive and effective quality method for evaluating the efficacy of ShuXueNing injection(SXNI)was developed.Materials and Methods:Quantitative high-performance liquid chromatography fingerprint,the quantitative analysis of multicomponents by a single marker(QAMS)method,hierarchical cluster analysis(HCA),and orthogonal partial least squares discrimination analysis(OPLS-DA)were used to distinguish 53 batches of SXNI samples from 7 manufacturers.Results:A total of 53 batches of samples were analyzed to establish antithesis fingerprint of SXNI,and 12 peaks of the common model were collected and used for the similarity analysis.Meanwhile,six index flavonoid components were determined by the QAMS method,using rutin as internal reference substance.The accuracy of the QAMS method was confirmed by investigating the relative deviation between the QAMS method and the traditional external standard method.The results demonstrated that there was no significant difference(RE<1%),suggesting that QAMS was a reliable and convenient method for the content determination of multiple components.The HCA and OPLS-DA methods drew a similar conclusion.The 53 batches of SXNI samples from 7 manufacturers were categorized into five groups,indicating that chemometrics could reveal the quality differences of SXNI between the manufacturers.Conclusions:The method established herein was efficient and successful in assessing the quality of SXNI,and that it may be potentially employed in the quality control of related products composed of Ginkgo biloba extract.

Screening the Synergistic Components of Acetylcholinesterase Inhibition from Phellodendron Bark Based on Fingerprint-Activity Relationship Modeling

Objective:Phellodendron chinense(PC)bark and Phellodendron amurense(PA)bark are two herbal medicines recorded in the Chinese Pharmacopoeia(2020 edition)that are easily mistaken for one another.In this study,the chemical constituents of PC and PA were compared using chromatographic fingerprints,and the potential synergistic acetylcholinesterase(ACh E)inhibitor components were screened based on the correlation of fingerprint activity.Materials and Methods:Chromatographic fingerprints based on high-performance liquid chromatography were developed for the analysis and comparison of chemical compounds in PC and PA samples.The ACh E inhibitory activity of PC and PA was determined using the Ellman method.Subsequently,the contribution of the characterized alkaloids in PC and PA to the overall ACh E inhibition was modeled using partial least squares regression(PLSR).Results:The total alkaloid content in PC was higher than that in PA,which causes PC to have stronger anti-ACh E activity.Overall,13 and 20 common peaks were identified in the PC and PA samples,respectively.Among them,berberine(BER)was the dominant alkaloid in PC,which covered more than 65%of the total peak area in PC,but only approximately 25%of that in PA,indicating that the chemical composition is different between PC and PA.The spectrum–effect analysis based on PLSR and the correlation analysis showed that the BER-palmatine(PAL)and BER-jatrorrhizine(JAT)pairs have a synergistic inhibitory effect on ACh E activity.Conclusions:A high-performance chromatographic fingerprint was established to distinguish PC and PA.The efficacy-associated markers were screened,including the pairs of BER-PAL and BER-JAT with anti-ACh E activity,and the findings may assist with the quality control of PA and PC.

Differentiation of Belamcandae Rhizoma and Iridis Tectori Rhizoma by Thin-Layer Chromatography and High-Performance Liquid Chromatography

Objective:Belamcandae Rhizoma and Iridis Tectori Rhizoma are easily confused with each other.The main objective of this study is to distinguish them using chemical analysis.Materials and Methods:Thin-layer chromatography(TLC)and high-performance liquid chromatography(HPLC)fingerprint methods were established to compare the chemical profile,while HPLC quantitation was used to determine the contents of three isoflavones in thirty batches of Belamcandae Rhizoma and Iridis Tectori Rhizoma samples.Results:The two herbs could be distinguished by TLC using acetic acid-n hexane-ethyl acetate(1:90:80 v/v/v)as the mobile phase,according to the fluorescent band under 366 nm at R_(f) 0.2.In total,12 compounds were identified in the 24-min HPLC fingerprint.The similarity coefficient between the two herbs was 0.54±0.01.Mangiferin(1),tectoridin(2),iridin(3),irigenin(5),irisflorentin(6),and iristectorin A(9)were the main peaks in Belamcandae Rhizoma,while tectoridin(2)and tectorigenin(4)were the major peaks in Iridis Tectori Rhizoma.The contents of 2 in Iridis Tectori Rhizoma(2.50±0.20%)were 8.93 times higher than that of Belamcandae Rhizoma(0.28±0.08%),while the ones of 5 and 6 were slightly lower in Iridis Tectori Rhizoma.Conclusions:The study established fast and effective methods to distinguish Belamcandae Rhizoma from Iridis Tectori Rhizoma.

In vitro anti-inflammatory effects of different solution fractions of ethanol extract from Melilotus suaveolens Ledeb

Background Melilotus suaveolens Ledeb （M. suaveolens Ledeb） has long been used as a folk medicine in inflammation-related therapy. This study was undertaken to determine the anti-inflammatory effect of the plant. Methods Petroleum ether fraction, ethyl acetate fraction, n-butanol fraction, aqueous fraction were obtained from ethanol extract of M. suaveolens Ledeb and evaluated by high performance liquid chromatography （HPLC）. While dexamethasone （DM） was used as a positive control, the effects of different solution fractions of ethanol extract on tumor necrosis factor α （TNF-α） mRNA, cyclooxygenase 2 （COX-2） mRNA, COX-2 and nuclear factor KB （NF-KB） of LPS-stimulated RAW 264.7 cells were studied by real-time PCR, Westem blot analysis and immunocytochemical assay, respectively. Results Coumarin was one of the main ingredients in different solution fractions of ethanol extract except the aqueous fraction with no inflammatory effect. The petroleum ether fraction, ethyl acetate fraction and n-butanol fraction of ethanol extract could inhibit the production of TNF-α mRNA, COX-2 mRNA and NF-KB to some extent. Conclusions Different solution fractions of ethanol extract from M. suaveolens Ledeb had similar anti-inflammatory effect as did dexamethasone except the aqueous fraction. Coumarin was likely to be essential to the anti-inflammatory effect, and other ingredients might attribute to their different anti-inflammatory effects from the HPLC fingerprint.