[Quality control method for phenolic acid components in abandoned stems and leaves of Artemisia selengensis based on UPLC fingerprint combined with quantitative analysis of multi-components by single marker (QAMS)].

This study established an ultra-performance liquid chromatography(UPLC) fingerprint of abandoned stems and leaves of Artemisia selengensis and quantitative analysis of multi-components by single marker(QAMS) for five phenolic acid components. Waters Acquity UPLC BEH C_(18) chromatography column(2.1 mm×100 mm, 1.7 µm) was used. The gradient elution was carried out with the mobile phase composed of 0.1% phosphoric acid water and acetonitrile at a flow rate of 0.3 mL·min~(-1) and a column temperature at 30 ℃. The detection wavelength was 330 nm, and the injection volume was 2 µL. Similarity evaluation and cluster analysis were conducted on the fingerprint data, and 15 common components in 13 batches of abandoned stems and leaves of A. selengensis were identified. The relative correction factors of ferulic acid, isochlorogenic acid A, isochlorogenic acid B, and isochlorogenic acid C were calculated using chlorogenic acid as the internal reference. The QAMS for determining five components in the abandoned stems and leaves of A. selengensis was established. At the same time, the content of these five components was determined using the external standard method(ESM), and the results showed that there were no significant differences in their content determined by the QAMS and the ESM. The results indicated that the content of phenolic acid components in the abandoned stems and leaves of A. selengensis from different varieties and different origins had obvious differences. In addition, the content of phenolic acid components in the abandoned stems and leaves of lignified A. selengensis was significantly higher than that of non-lignified A. selengensis. In summary, QAMS established in this study can be quickly, accurately, and economically used to determine the content of five phenolic acid components in abandoned stems and leaves of A. selengensis, laying a foundation for the resource development and utilization of abandoned stems and leaves of A. selengensis.

Experimental design approach for the quantitative analysis of multicomponents by single marker and HPLC fingerprinting of Thunbergia laurifolia aqueous extract.

INTRODUCTION: Thunbergia laurifolia is used in traditional Thai medicine to reduce fever and treat mouth ulcers. However, the quantitative analysis of chemical markers has not yet been officially defined. OBJECTIVE: The objective of this study is to develop a high-performance liquid chromatography (HPLC) method using a design of experiment (DoE) for the quantitative analysis of multicomponents by single marker (QAMS) and fingerprinting of the T. laurifolia aqueous extract. MATERIALS AND METHODS: Critical variables were screened using a two-level fractional factorial design, followed by the optimization of the selected variables using a central composite design. The validated method was applied for quality assessment based on QAMS and fingerprinting of the extract. RESULTS: Optimum conditions of DoE for the analysis of caffeic acid, vicenin-2, and rosmarinic acid were determined. The relative correction factors for caffeic acid and vicenin-2 were calculated using rosmarinic acid as an internal reference standard, and their contents in 30 samples were determined. The differences between the external standard method (ESM) and QAMS were compared. No significant difference was observed in the quantitative determination, proving the consistency QAMS and ESM. HPLC fingerprints of T. laurifolia were established with 8 of 12 characteristic peaks that were structurally characterized using HPLC-diode array detection-electrospray ionization/tandem mass spectrometry. The similarity of the fingerprints in all samples was ≥0.74, and the pattern recognition of the characteristic peaks was satisfied. CONCLUSION: The proposed method efficiently detected multiple components of the T. laurifolia extract. Thus, the method is beneficial in providing references for enhancing the quality control of other herbal medicines.

Complete composition analysis of polysaccharides based on HPAEC-PAD coupled with quantitative analysis of multi-components by single marker.

INTRODUCTION: Monosaccharide compositions analysis (MCA) is indispensable for structural characterisations and structure-activity relationships of plant polysaccharides. OBJECTIVES: To develop a concise and direct MCA method, we established a quantitative analysis of the multi-monosaccharaides by single marker (QAMS) by high-performance anion-exchange chromatography with pulsed-amperometric detection (HPAEC-PAD) method. METHODOLOGY: A stable and reproducible HPAEC-PAD method for simultaneous determination of aldoses, ketoses and uronic acids (i.e., l-arabinose, d-xylose, d-ribose, l-rhamnose, d-fucose, d-mannose, d-glucose, d-galactose, d-fructose, d-glucuronic acid and d-galacturonic acid) was established by systematic optimisation of stationary phases, column temperatures and elution programmes. On this basis, the QAMS method was proposed through comprehensive investigations of relative correction factor (RCF) variations under different influencing factors, for example, sample concentrations, flow rates, and column temperatures. RESULTS: Using rhamnose as an internal reference standard, the contents of the other monosaccharide components in polysaccharides from Panax quinquefolium L. and Achyranthes bidentata Bl. samples were simultaneously determined by QAMS, and there was no significant difference between the results from the QAMS and external standard method (t test, P > 0.520). In addition, a MCA fingerprinting of 30 batches of P. quinquefolium polysaccharide was established by HPAEC-PAD, and six common peaks were assigned and determined. CONCLUSIONS: The established HPAEC-PAD-QAMS method was successfully applied to the MCA of polysaccharides from P. quinquefolium and A. bidentata after optimisation of hydrolysis conditions. HPAEC-PAD-QAMS was proposed and established for MCA of plant polysaccharides for the first time.

Simultaneous content determination of ten constituents in Tianma Toufengling Capsules by QAMS / 中成药

AIM To establish a quantitative analysis of multi-components by single-marker(QAMS)method for the simultaneous content determination of gastrodin,parishin E,syringin,parishin B,parishin C,ferulic acid,parishin A,buddleoside,harpagoside and cinnamic acid in Tianma Toufengling Capsules.METHODS The analysis was performed on a 30℃thermostatic GL Science InertsilTM ODS-3 column(150 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1%phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 220,280 nm.Syringin was used as an internal standard to calculate the relative correction factors of the other nine constituents,after which the content determination was made.RESULTS Ten constituents showed good linear relationships within their own ranges(r≥0.999 7),whose average recoveries were 98.53%-102.22%with the RSDs of 1.26%-2.68%.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This accurate and specific method can be used for the quality control of Tianma Toufengling Capsules.

Exploring Effect of Concentration on Quantitative Accuracy of QAMS by Taking Ginsenosides as an Example / 中国实验方剂学杂志

ObjectiveTo investigate the influence of concentration ratio（CR） between the internal reference and target components on the quantitative accuracy of quantitative analysis of multi-components by single marker（QAMS） by taking ginsenosides as an example. MethodUltra performance liquid chromatography（UPLC） was employed， the contents of nine components in Ginseng Radix et Rhizoma（ginsenosides Rg1， Re， Rf， Rh1， Rb1， Rc， Rb2， Rb3， Rd） were determined by external standard method（ES）. Using ginsenoside Rg1 as the internal reference， the contents of the remaining 8 ginsenosides were determined by QAMS， and the quantitative results were compared with those of ES to evaluate the quantitative accuracy of the established QAMS. According to the contents of these 9 ginsenosides， the simulated sample solutions with different CRs of ginsenoside Rg1 to ginsenosides Rf， Rb2， Rd were prepared with the reference substance（CR=100∶1， 10∶1， 5∶1， 2∶1， 1∶1， 0.5∶1， 0.25∶1）， in order to validate the effect of the CRs between the internal reference and other components on the quantitative accuracy of the QAMS. ResultThe results of ginsenosides Re， Rf， Rb1， Rc， Rb2 calculated by the two methods were the same with the relative standard deviation（RSD）<3%， however， the results of ginsenosides Rh1， Rb3 and Rd calculated by the two methods were different with RSDs of 7.06%-9.61%. According to the result of the simulated sample solution， the difference between the calculated results of ES and QAMS was large when the CR between the internal reference（ginsenoside Rg1） and other components was 5 or 10 or even higher. ConclusionThe quantitative error of QAMS will increase when the CR between the quantitative component and the internal reference is too large， so it is suggested that when establishing the QAMS， the components with close concentration to the internal reference should be selected for quantification.

Comprehensive quality evaluation of Guge fengtong tablets / 中国药房

OBJECTIVE To establish a method for the content determination of 11 components such as protodioscin in Guge fengtong tablets， and to evaluate the comprehensive quality of Guge fengtong tablets by combining with chemometric analysis and entropy weight-technique for order preference by similarity to ideal solution （EW-TOPSIS） method. METHODS HPLC method was adopted. The determination was performed on Agilent Eclipse Plus C18 column with a mobile phase consisted of acetonitrile- 0.2% phosphoric acid solution at the flow rate of 1.0 mL/min by gradient elution. The column temperature was set at 30 ℃ . The detection wavelengths were set at 203 nm （0-28 min， protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin） and 280 nm （28-60 min， catechin， epicatechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol， 10-gingerol）； the sample size was 10 μL. Using epicatechin as the internal reference， quantitative analysis of multi-components by single marker （QAMS） method was used to determine the contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol and 10-gingerol， which were compared with the results of the external standard method. SPSS 26.0 software and SIMCA 14.1 software were used for principal component analysis and orthogonal partial least squares-discriminant analysis， with variable importance in projection （VIP） value greater than 1 as the standard， to screen for differential markers that affect the quality； the EW-TOPSIS method was adopted to evaluate the quality of 15 batches of samples comprehensively.RESULTS The contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medi-carpin， 6-gingerol， 8-gingerol and 10-gingerol determined by HPLC combined with QAMS were 6.330-10.863， 1.150-2.274， 0.431- 0.740， 2.818-4.823， 0.826-1.510， 0.043-0.094， 0.079-0.231， 0.479-1.020， 0.146-0.288， 0.118-0.318 mg/g， respectively； there were no statistical significances， compared with the external standard method （P＞0.05）. A total of 15 batches of samples were clustered into 3 groups， with S1-S6， S7-S10， and S11-S15 clustered into one group， respectively. The VIP values of protodioscin， epicatechin， dioscin and 6-gingerol were greater than 1. Euclidean closeness values of the optimal solution （C）i for 15 batches of samples were 0.163 5 to 0.703 7， and Ci values of S11-S15 were all higher than 0.6. CONCLUSIONS The established QAMS method is accurate and simple， and can be used for comprehensive quality evaluation of Guge fengtong tablets， by combining with chemometric analysis and EW-TOPSIS method. Protodioscin， epicatechin， dioscin and 6-gingerol are the differential markers that affect the quality of Guge fengtong tablets. Samples S11-S15 have better quality.

A quality evaluation method of lotus leaf based on its lipid lowering components using QAMS and chemometrics.

Introduction: Lotus leaf has long been used as food and medicine in China and is well-known for its lipid-lowering effects. However, there is a lack of a comprehensive quality evaluation for lotus leaf due to the absence of consideration of the correlation between various components and their efficacy. Objectives: This study aims to find out the key bioactive components that can be used for quality evaluation of lotus leaf on lipid-lowering effect. Methods: Thirteen compounds were characterized in the lotus leaf using ultra-high- performance liquid chromatography-time-of-fight mass spectrometry (UPLC-Q-TOF-MS). Five alkaloids and four flavonoids were identified according to their lipid-lowering activities reported in literatures. Then, the contents of these nine components were analyzed in 39 batches of lotus leaves growing in different locations using high performance liquid chromatography diode-array detector (HPLC-DAD), and further evaluated by quantitative analysis of multi-components by single marker (QAMS) and chemometrics. The anti-adipogenic activity of lotus leaves were evaluated for their inhibitory effect on the PPARγ expression by luciferase assay. Results: The 39 batches were clustered into two regions, the north and the south, based on the contents of these components. Three alkaloids, nuciferine, N-nornuciferine, and asimilobine, and three flavonoids, astragalin, hyperoside, and trifolioside, were found to serve as the key factors behind the region differences. Their contents were higher in Guangchang County of Jiangxi Province than other habitat locations. Moreover, the luciferase assay combined with chemometrics showed that these components were positively correlated with lipid-lowering activity of lotus leaf. Conclusions: Three alkaloids and three flavonoids were screened out and could be used as key compounds for quality evaluation of lotus leaf on lipid-lowering effect.

[Quality evaluation of Compound Cheqian Tablets based on UPLC-Q-TOF-MS/MS, network pharmacology and "double external standards" QAMS].

The Compound Cheqian Tablets are derived from Cheqian Power in Comprehensive Recording of Divine Assistance, and they are made by modern technology with the combination of Plantago asiatica and Coptis chinensis. To investigate the material basis of Compound Cheqian Tablets in the treatment of diabetic nephropathy, in this study, the chemical components of Compound Cheqian Tablets were characterized and analyzed by UPLC-Q-TOF-MS/MS, and a total of 48 chemical components were identified. The identified chemical compounds were analyzed by network pharmacology. By validating with previous literature, six bioactive compounds including acteoside, isoacteoside, coptisine, magnoflorine, palmatine, and berberine were confirmed as the index components for qua-lity evaluation. Furthermore, the content of the six components in the Compound Cheqian Tablets was determined by the "double external standards" quantitative analysis of multi-components by single marker(QAMS), and the relative correction factor of isoacteoside was calculated as 1.118 by using acteoside as the control; the relative correction factors of magnoflorine, palmatine, and berberine were calculated as 0.729, 1.065, and 1.126, respectively, by using coptisine as the control, indicating that the established method had excellent stability under different conditions. The results obtained by the "double external standards" QAMS approximated those obtained by the external standard method. This study qualitatively characterized the chemical components in the Compound Cheqian Tablets by applying UPLC-Q-TOF-MS/MS and screened the pharmacodynamic substance basis for the treatment of diabetic nephropathy via network pharmacology, and primary pharmacodynamic substance groups were quantitatively analyzed by the "double external stan-dards" QAMS method, which provided a scientific basis for clarifying the pharmacodynamic substance basis and quality control of Compound Cheqian Tablets.

Determination of Phytochemical Contents in Extracts from Different Growth Stages of Oroxylum indicum Fruits Using HPLC-DAD and QAMS Methods.

Flavones are major compounds found in several parts of Oroxylum indicum (O. indicum). The quantification of multiple components by one marker (QAMS) method and the high-performance liquid chromatography (HPLC) method were developed for the quantitative analysis of extracts from the young fruits, green mature fruits, dry pod coats and seeds of O. indicum. Oroxin A, oroxin B and chrysin-7-O-glucuronide were identified in the O. indicum extracts. Oroxylin A and 5-hydroxymethylfurfural were isolated and structurally identified from the pod coat and young fruit extracts, respectively. From the HPLC analysis of the seven major flavones in the extracts, baicalin was the major compound in all extracts investigated (0.4-11% w/w of the extract). All flavone contents were low in the young fruit extract (<1% w/w of the extract). The green mature fruit and dry pod coat extracts showed similar constituent compositions. They contained small amounts of baicalin and oroxylin A, which were found only in these two extracts. Oroxylin A could be used as a marker to indicate the maturity of O. indicum fruits, while 5-hydroxymethylfurfural could be used as a marker for the young fruits. Baicalin was found to be a suitable single marker to calculate the contents of all flavones in the O. indicum extracts.

Quality evaluation of Hawk tea from different months and regions based on quantitative analysis of multiple components with a single marker (QAMS) combined with HPLC fingerprint.

BACKGROUND: Hawk tea, a medicinal and edible plant, has been consumed for thousands of years in Southwest China. To date, no unified food safety standard for Hawk tea has been established, and systematic research on the quality of Hawk tea is lacking. OBJECTIVE: The aim of this study was to develop a comprehensive evaluation method for the quality of Hawk tea based on inclusions content, high-performance liquid chromatography (HPLC) fingerprinting combined with the quantitative analysis of multiple components with a single marker (QAMS) method. METHODS: The contents of total flavonoids, total phenols, total polysaccharides, and total protein were determined using the colorimetric method. An effective comprehensive evaluation method was established to classify the 16 batches of samples based on HPLC fingerprint analysis combined with similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA), partial least-squares discrimination analysis (PLS-DA), and the QAMS method. RESULTS: Flavonoids were the main chemical components of Hawk tea. The accuracy of the QAMS method was verified by comparing the calculated results with those of the external standard method (ESM). No significant differences were found between the two methods. Additionally, the fingerprint of Hawk tea was also established. CONCLUSION: The method established in this study can be used for the comprehensive quality evaluation of Hawk tea and can also provide a reference for the quality evaluation of other herbal medicines.

Study on quality control of Zuojin pill by HPLC fingerprint with quantitative analysis of multi-components by single marker method and antioxidant activity analysis.

Current quality control methods for Zuojin Pill (ZJP) lack comprehensiveness and practicability. This study aimed to develop a comprehensive strategy for the quality evaluation of ZJP and the prediction of potential bioactive components in ZJP. First, an HPLC method with excellent separation of main components was developed and was used to establish the chromatographic fingerprint of ZJP. Similarities were calculated by comparing 28 batches of ZJPs with the reference fingerprint and the resulting similarity values were all greater than 0.976. The 28 samples were classified into different groups according to their origins by Hierarchical Cluster Analysis, Principal component analysis, and orthogonal partial least squares discriminant analysis. Based on the classification, eight quality markers (Q-Markers) affecting the quality of ZJP were discovered. Then, using berberine as an internal standard substance, quantitative analysis of multi-components by single marker method (QAMS) for the determination of eight Q-markers was developed. The results showed that there was no significant difference between QAMS and external standard method (P＞0.05). Finally, using an off-line antioxidant system and partial least-squares model (PLS), the fingerprint-efficacy relationship of ZJP was constructed to explore and predict the bioactive components in ZJP. The present study strategy could be also applied to comprehensive quality study of other TCMs.

Analysis on Quality Standard of Fraxini Cortex（Fraxinus chinensis） Dispensing Granules Based on Standard Decoction / 中国实验方剂学杂志

ObjectiveTo establish the quality standard for Fraxini Cortex（Fraxinus chinensis） dispensing granules based on standard decoction， and to provide a basis for the quality control of this dispensing granules. MethodHigh performance liquid chromatography（HPLC） specific chromatograms of 15 batches of Fraxini Cortex（F. chinensis） standard decoctions and 3 batches of Fraxini Cortex（F. chinensis） dispensing granules were established with the mobile phase of 0.1% phosphoric acid aqueous solution（A）-acetonitrile（B） for gradient elution（0-10 min， 12%-15%B； 10-30 min， 15%-32%B） and the detection wavelength of 220 nm. And similarity evaluation， cluster analysis and principal component analysis（PCA） were also carried out. HPLC quantitative analysis of multi-components by single marker（QAMS） was established to determine the contents of the main components in the standard decoctions and dispensing granules. The contents of the corresponding components in Fraxini Cortex（F. chinensis） decoction pieces were also detected， and the transfer rates from decoction pieces to standard decoctions and dispensing granules were calculated. ResultThe similarities between specific chromatograms of 15 batches of Fraxini Cortex（F. chinensis） standard decoctions and 3 batches of Fraxini Cortex（F. chinensis） dispensing granules were all>0.9， and 7 common peaks were identified. The results of cluster analysis and PCA showed that there was some differences in the composition of different batches of standard decoctions， but did not show aggregation of origin. As the standard decoctions， the extract rate was 6.18%-11.62%， the contents of esculin， syringin， fraxin， esculetin， fraxetin， calceolarioside B were 44.92-103.51， 1.36-11.87， 33.26-90.73， 4.63-29.75， 2.40-16.86， 2.49-17.35 mg·g-1， and the transfer rates from decoction pieces to standard decoction were 25.21%-42.54%， 52.57%-88.84%， 43.43%-79.45%， 49.15%-88.27%， 49.22%-72.69%， 27.66%-47.67%， respectively. The extract rates of Fraxini Cortex（F. chinensis） dispensing granules were 10.4%-10.7%， the transfer rates of the above six components from decoction pieces to dispensing granules were 42.76%-43.17%， 80.01%-80.90%， 59.59%-59.88%， 51.35%-52.67%， 60.50%-60.93%， 37.98%-38.37%， respectively， which were generally consistent with the transfer rates from decoction pieces to standard decoctions. ConclusionThe established quality control standard of Fraxini Cortex（F. chinensis） dispensing granules based on standard decoctions is reasonable and reliable， which can provide reference for the quality control and process research of this dispensing granules.

Comprehensive quality evaluation of Shiliang tea based on HPLC-QAMS combined with multivariate statistical analysis and E-TOPSIS method / 中国药师

Objective To determine 10 components in Shiliang tea by high performance liquid chromatography-quantitative analysis of multi-components with a single-marker(HPLC-QAMS),and to evaluate its comprehensive quality by multivariate statistical analysis and entropy-technique for order preference by similarity to ideal solution(E-TOPSIS).Methods The determination was performed on COSMOSIL ?5 C18-MS-Ⅱ column(250 mm×4.6 mm,5 μm)with mobile phase consisted of acetonitrile-0.1％ phosphoric acid solution and gradient elution at the flow rate of 1.0 mL·min-1,and the detection wavelength was set at 360 nm and 222 nm.The contents of scopolin,scopoletin,isofraxidin,rutoside,kaempferol-3-O-rutinoside,astragalin,scoparone,quercetin,kaempferol and mcalycanthine in 18 batches of Shiliang tea were calculated according to QAMS using rutoside as internal reference.The content data of 18 batches of Shiliang tea were analyzed chemometrically using statistical software;the quality of Shiliang tea was evaluated comprehensively using E-TOPSIS method.Results Good separation was obtained for all 10 components and showed good linearity with peak area in their respective scopes(r>0.999 0).The average recovery rates were 96.98％ -100.12％ (RSD<2.0％ ,n=9).The average relative correction factors for rutoside and the other 9 components were 2.115 7,2.592 4,0.553 1,0.897 6,0.780 7,1.159 3,0.693 6,1.458 3 and 0.6017(RSD<2.0％ ,n=6),and there was no significant difference between the contents obtained by QAMS and external standard method for each component.The results of multivariate statistical analysis showed that the cumulative variance contribution rate of the 2 principal components was 83.886％ ,and the variable importance in the projection value greater than 1 were kaempferol-3-O-rutinoside,rutoside and astragalin.The results of E-TOPSIS showed that the euclidean closeness of the optimal solution was between 0.180 4 and 0.739 4.Conclusion The method established is simple,accurate,economical and practical,which can fully reflect the quality difference of Shiliang tea and better control the quality of this variety.

Quality evaluation of Compound Cheqian Tablets based on UPLC-Q-TOF-MS/MS, network pharmacology and "double external standards" QAMS / 中国中药杂志

The Compound Cheqian Tablets are derived from Cheqian Power in Comprehensive Recording of Divine Assistance, and they are made by modern technology with the combination of Plantago asiatica and Coptis chinensis. To investigate the material basis of Compound Cheqian Tablets in the treatment of diabetic nephropathy, in this study, the chemical components of Compound Cheqian Tablets were characterized and analyzed by UPLC-Q-TOF-MS/MS, and a total of 48 chemical components were identified. The identified chemical compounds were analyzed by network pharmacology. By validating with previous literature, six bioactive compounds including acteoside, isoacteoside, coptisine, magnoflorine, palmatine, and berberine were confirmed as the index components for qua-lity evaluation. Furthermore, the content of the six components in the Compound Cheqian Tablets was determined by the "double external standards" quantitative analysis of multi-components by single marker(QAMS), and the relative correction factor of isoacteoside was calculated as 1.118 by using acteoside as the control; the relative correction factors of magnoflorine, palmatine, and berberine were calculated as 0.729, 1.065, and 1.126, respectively, by using coptisine as the control, indicating that the established method had excellent stability under different conditions. The results obtained by the "double external standards" QAMS approximated those obtained by the external standard method. This study qualitatively characterized the chemical components in the Compound Cheqian Tablets by applying UPLC-Q-TOF-MS/MS and screened the pharmacodynamic substance basis for the treatment of diabetic nephropathy via network pharmacology, and primary pharmacodynamic substance groups were quantitatively analyzed by the "double external stan-dards" QAMS method, which provided a scientific basis for clarifying the pharmacodynamic substance basis and quality control of Compound Cheqian Tablets.

Quantitative analysis of multi-components by single marker method combined with UPLC-PAD fingerprint analysis based on saikosaponin for discrimination of Bupleuri Radix according to geographical origin.

Background: Saikosaponins are regarded as one of the most likely antipyretic constituents of Bupleuri Radix, establishing a comprehensive method that can reflect both the proportion of all constituents and the content of each saikosaponin is critical for its quality evaluation. Methods: In this study, the combination method of quantitative analysis of multiple components with a single marker (QAMS) and fingerprint was firstly established for simultaneous determination of 7 kinds of saikosaponins in Bupleuri Radix by ultra-high performance liquid chromatography (UPLC). Results: The results showed that saikosaponin d was identified as the optimum IR by evaluating the fluctuations and stability of the relative calibration factors (RCFs) under four different conditions. The new QAMS method has been confirmed to accurately quantify the 7 kinds of saikosaponins by comparing the obtained results with those obtained from external standard method and successfully classify the 20 batches of Bupleuri Radix from 8 provinces of China. The experimental time of fingerprint was significantly reduced to approximate 0.5 h through UPLC-PAD method, a total of 17 common peaks were identified. Conclusion: The QAMS-fingerprint method is feasible and reliable for the quality evaluation of Bupleuri Radix. This method could be considered to be spread in the production enterprises of Bupleuri Radix.

[Determination of content of nine components in Xinnaojian preparations from different manufacturers by QAMS].

This study established the ultra-performance liquid chromatography(UPLC) fingerprint of Xinnaojian preparations. With epicatechin gallate as the internal reference substance, a quantitative analysis of multi-components by single marker(QAMS) method for determining the content of nine components(gallic acid, epigallocatechin, catechin, caffeine, epicatechin, epigallocatechin gallate, gallocatechin gallate, epicatechin gallate, and catechin gallate) in Xinnaojian preparations was established. The content determined by the external standard method(ESM) and QAMS method was compared to evaluate the feasibility and accuracy of QAMS method. The results showed that the standard curves of nine components had good linear relationship within the test concentration ranges. The average recoveries were 87.57%-107.4%, and the RSD was 1.5%-2.9%. Except epigallocatechin, the other components showed good repeatability under different experimental conditions. Epigallocatechin could meet the requirements in the same instrument and at the same wavelength. The results generally showed no significant difference between QAMS and ESM. The content of 9 components varied between the samples from different manufacturers, while it showed no significant difference between the samples from the same manufacturer. In summary, the UPLC fingerprint combined with QAMS method is feasible and accurate for determining the content of the nine components, which can be used for rapid quality evaluation of Xinnaojian preparations.

Identification of anti-inflammatory components in Dioscorea nipponica Makino based on HPLC-MS/MS, quantitative analysis of multiple components by single marker and chemometric methods.

The rhizome of Dioscorea nipponica Makino (RDN) is a widely used herbal medicine, which has significant anti-inflammatory activities on various inflammatory diseases. However, the bioactive compositions responsible for the anti-inflammatory activity of RDN are still unknown. This study aimed to identify the anti-inflammatory bioactive compounds in RDN using high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (HPLC-Q/TOF-MS), quantitative analysis of multiple components by single marker (QAMS) and chemometric methods. Firstly, an HPLC-Q/TOF-MS method was employed for identification of bioactive steroidal saponins in RND, and a total of twelve steroid saponins were identified. Then, QAMS method was employed to determine the contents of seven bioactive steroidal saponins, including protodioscin, protogracillin, methyl protodioscin, pseudoprotodioscin, pseudoprogracillin, dioscin and gracillin in RND samples using dioscin as the reference analyte. The anti-inflammatory effects of RDN samples were then evaluated by inhibition of NO production in LPS-induced RAW264.7 cells. Furthermore, chemometric methods, including Pearson correlation analysis and partial least squares regression (PLSR) were employed to investigate the correlations between chemical components and anti-inflammatory activities, and explore the potential anti-inflammatory bioactive compounds of RDN. The results indicated that protodioscin, dioscin and gracillin were selected as the major anti-inflammatory compounds in RND. The further verification experiments showed that protodioscin, dioscin and gracillin exhibited great inhibition on NO production with IC50 values (the half maximal inhibitory concentration) of 0.712 µM, 0.469 µM and 0.815 µM, respectively. They also significantly reduced the levels of TNF-α, IL-1ß, and IL-6 in LPS-induced RAW264.7 cells. The present study provided evidences for the anti-inflammatory activity of RND and identification of the anti-inflammatory components in RDN.

Quantification of Chemical Groups and Quantitative HPLC Fingerprint of Poria cocos (Schw.) Wolf.

(1)Objective: In this study, a quantitative analysis of chemical groups (the triterpenoids, water-soluble polysaccharides, and acidic polysaccharides) and quantitative high liquid performance chromatography (HPLC) fingerprint of Poria cocos (Schw.) Wolf (PC) for quality control was developed. (2) Methodology: First, three main chemical groups, including triterpenoids, water-soluble polysaccharides, and acidic polysaccharides, in 16 batches of PC were evaluated by ultraviolet spectrophotometry. Afterward, the quantitative fingerprint of PC was established, and the alcohol extract of PC was further evaluated. The method involves establishing 16 batches of PC fingerprints by HPLC, evaluating the similarity of different batches of PC, and identifying eight bioactive components, including poricoic acid B (PAB), dehydrotumulosic acid (DTA), poricoic acid A (PAA), polyporenic acid C (PAC), 3-epidehydrotumulosic acid (EA), dehydropachymic acid (DPA), dehydrotrametenolic acid (DTA-1), and dehydroeburicoic acid (DEA), in PC by comparison with the reference substance. Combined with the quantitative analysis of multi-components by a single marker (QAMS), six bioactive ingredients, including PAB, DTA, PAC, EA, DPA, and DEA, in PC from different places were established. In addition, the multivariate statistical analyses, such as principal component analysis and heatmap hierarchical clustering analysis are more intuitive, and the visual analysis strategy was used to evaluate the content of bioactive components in 16 batches of PC. Finally, the analysis strategy of three main chemical groups in PC was combined with the quantitative fingerprint strategy, which reduced the error caused by the single method. (3) Results: The establishment of a method for the quantification of chemical groups and quantitative HPLC fingerprint of PC was achieved as demonstrated through the quantification of six triterpenes in PC by a single marker. (4) Conclusions: Through qualitative and quantitative chemical characterization, a multi-directional, simple and efficient routine evaluation method of PC quality was established. The results reveal that this strategy can provide an analytical method for the quality evaluation of PC and other Chinese medicinal materials.

[Chemical pattern recognition of Atractylodes chinensis from different producing areas and establishment of quantitative analysis of multi-components by single marker (QAMS) method for four components].

This study established the fingerprint and combined it with chemical pattern recognition to evaluate the quality of Atractylodes chinensis samples from different producing areas and then employed the quantitative analysis of multi-components by single marker(QAMS) method to verify the feasibility and applicability of the established method in the quality evaluation of A. chinensis. The fingerprints of A. chinensis samples were constructed via high performance liquid chromatography(HPLC) to evaluate the inter-batch consistency. With the quality control component atractylodin as the internal reference, the relative correction factors(RCFs) were established for atractylenolide Ⅰ, atractylenolide Ⅲ, and ß-eudesmol and the content of the four components was calculated. The external standard method was used to verify the accuracy of QAMS method. The quality of A. chinensis was further evaluated by similarity analysis, clustering analysis, and principal component analysis. The fingerprints of 13 batches of samples were calibrated with 21 common peaks, and 4 common peaks were identified with the similarities all above 0.9. The RCFs established with atractylodin as the internal reference represented good reproducibility under different experimental conditions. Specifically, the RCFs of atractylenolide Ⅰ, atractylenolide Ⅲ, and ß-eudesmol in A. chinensis were 2.091, 4.253, and 6.010, respectively. QAMS and ESM showed no significant difference in the results, indicating that the QAMS method established in this study was stable and reliable. Thus, HPLC fingerprint combined with QAMS can be used for the quality evaluation of A. chinensis, providing a basis for comprehensive and rapid quality evaluation of A. chinensis.

[Quality evaluation of Psoraleae Fructus based on QAMS method and TLC identification].

The present study established a determination method of Psoraleae Fructus by quantitative analysis of multi-components by the single marker(QAMS) and further improved the thin-layer chromatography(TLC) method. The QAMS method was established by UPLC with psoralen as the internal marker, and the content of psoralenoside, isopsoralenoside, psoralen, and isopsoralen was simultaneously determined. As revealed by the comparison with results of the external standard method, the QAMS method was accurate and feasible. According to the current quality standards of Psoraleae Fructus, the TLC method was further optimized and improved, and bakuchiol was added for identification based on the original TLC method with psoralen and isopsoralen as indicators. This study provides a reference for improving the quality control method of Psoraleae Fructus.