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OBJECTIVE To establish an HPLC fingerprint of Xiao’er resuqing oral liquid， and to determine the contents of twelve index components. METHODS HPLC method was adopted. The determination was performed on Venusil MP C18 column with mobile phase consisting of acetonitrile-0.1% phosphate aqueous solution （gradient elution） at a flow rate of 1.0 mL/min. The detection wavelength was set at 210 nm， the column temperature was 30 ℃， the injection volume was 10 μL. HPLC fingerprint of Xiao’er resuqing oral liquid was established by using the Similarity Evaluation System of Chromatographic Fingerprint of TCM （2012 edition） to evaluate the similarity. The contents of 12 components were determined， including （R， S）-goitrin， 3，5-O-dicaffeoyl quinic acid， puerarin， forsythin， forsythoside A， chlorogenic acid， baicalin， saikosaponins d， wogonoside， baicalein， emodin and chrysophanol. RESULTS The similarity of HPLC fingerprints of 13 batches of Xiao’er resuqing oral liquid was greater than 0.97， and 14 common peaks were confirmed. The contents of the above 12 index components in 13 batches of Xiao’er resuqing oral liquid were as follows： 0.078-0.172， 1.564-2.736， 1.338-2.578， 0.426-0.872， 1.477-2.628， 1.396-2.447， 4.052-9.146， 0.367- 0.692， 1.974-4.674， 1.274-2.969， 0.085-0.167 and 0.155-0.307 mg/mL. CONCLUSIONS The established HPLC fingerprint and content determination methods have high accuracy and high specificity， which can be used for the quality evaluation of Xiao’er resuqing oral liquid.
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ObjectiveTo improve the quality standard of Yuanhu Zhitong oral liquid in order to strengthen the quality control of this oral liquid. MethodThin layer chromatography（TLC） was used for the qualitative identification of Corydalis Rhizoma and Angelicae Dahuricae Radix in Yuanhu Zhitong oral liquid by taking tetrahydropalmatine， corydaline reference substances and Corydalis Rhizoma reference medicinal materials as reference， and cyclohexane-trichloromethane-methanol（5∶3∶0.5） as developing solvent， Corydalis Rhizoma was identified using GF254 glass thin layer plate under ultraviolet light（365 nm）. And taking petroleum ether（60-90 ℃） -ether-formic acid（10∶10∶1） as developing solvent， Angelicae Dahuricae Radix was identified using a silica gel G TLC plate under ultraviolet light（305 nm）. High performance liquid chromatography（HPLC） was performed on a Waters XSelect HSS T3 column（4.6 mm×250 mm， 5 μm） with acetonitrile（A）-0.1% glacial acetic acid solution（adjusted pH to 6.1 by triethylamine）（B） as the mobile phase for gradient elution（0-10 min， 20%-30%A； 10-25 min， 30%-40%A； 25-40 min， 40%-50%A； 40-60 min， 50%-60%A）， the detection wavelength was set at 280 nm， then the fingerprint of Yuanhu Zhitong oral liquid was established， and the contents of tetrahydropalmatine and corydaline were determined. ResultIn the thin layer chromatograms， the corresponding spots of Yuanhu Zhitong oral liquid， the reference substances and reference medicinal materials were clear， with good separation and strong specificity. A total of 12 common peaks were identified in 10 batches of Yuanhu Zhitong oral liquid samples， and the peaks of berberine hydrochloride， dehydrocorydaline， glaucine， tetrahydropalmatine and corydaline. The similarities between the 10 batches of samples and the control fingerprint were all >0.90. The results of determination showed that the concentrations of corydaline and tetrahydropalmatine had good linearity with paek area in the range of 0.038 6-0.193 0， 0.034 0-0.170 0 g·L-1， respectively. The methodological investigation was qualified， and the contents of corydaline and tetrahydropalmatine in 10 batches of Yuanhu Zhitong oral liquid samples were 0.077 5-0.142 9、0.126 1-0.178 2 g·L-1， respectively. ConclusionThe established TLC， fingerprint and determination are simple， specific and reproducible， which can be used to improve the quality control standard of Yuanhu Zhitong oral liquid.
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ObjectiveTo investigate the material basis of homologous and heterogeneous effect of Aurantii Fructus Immaturus（AFI） and Aurantii Fructus（AF） based on the total statistical moment analysis and molecular connectivity index（MCI）. MethodRelevant literature at home and abroad and Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform（TCMSP） were consulted to establish the chemical composition database of AFI and AF， and set up their fingerprints by ultra-high performance liquid chromatography（UPLC）， and the total statistical moments and similarity parameters of the fingerprint were calculated. According to MCI， all components of AFI and AF were divided into different component groups， the average values of 0-8th order（0χ-8χ） MCI of the common component groups of AFI and AF were calculated. ResultThe values of total zero-order moment（AUCT） of AFI and AF were （10.57±2.45）×106， （5.09±0.89）×106 μV·s， the values of total first-order moment（MCRTT） were （11.57±1.58）， （12.10±1.29） min， the values of total second-order moments（VCRTT） were（24.49±2.30）， （26.49±2.54） min2， respectively. It showed that qualitative and quantitative parameters of AFI and AF were significantly different. The components with high similarity such as neohesperidin， hesperidin and narirutin were screened as the common potential pharmacodynamic components of AFI and AF. The non-common components of AFI， such as alysifolinone and imperatorin， and the non-common components of AF， such as neoeriocitrin and isosakuranin， with high similarity were screened out as potential heterogeneous components of AFI and AF. The composition groups of AFI and AF were classified into six categories， and the similarities between the composition groups of AFI and AF and the total constituents were 0.872-0.979 and 0.918-0.997， the average values of 0χ-8χ MCI of alkaloids in AFI and AF were 3.65 and 3.14， the average values of 0χ-8χ MCI of flavonoids were 8.47 and 8.47， the average values of 0χ-8χ MCI of volatile oils were 2.71 and 3.48， respectively. It showed that there were some differences in MCI of chemical constituents（groups） between AFI and AF. ConclusionThe chemical constituents（groups） of AFI and AF not only differ in content and species， but also in structural characteristics and structure-activity relationship， which can provide a basis for further explaining the scientific connotation of homologous and heterogeneous effect of AFI and AF.
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OBJECTIVE To establish the fingerprint of Sophora flavescens， and to screen differential components and determine their contents. METHODS HPLC fingerprints of 12 batches of S. flavescens were established by using Similarity Evaluation System of Chromatographic Fingerprints of TCM （2012 edition）； common peaks were identified and their similarities were evaluated. Chemical pattern recognition analysis [cluster analysis （CA），principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）] were performed with SIMCA 14.1 and SPSS 23.0 software， and differential components which influenced the quality of S. flavescens were screen with variable importance in the projection（VIP）＞1 as standard. Meanwhile， the contents of 4 kinds of differential components were determined by the same HPLC method. RESULTS There were 17 common peaks in the fingerprints of 12 batches of S. flavescens，and their similarities were all higher than 0.96. A total of 6 common peaks were identified， i.e. oxymatrine （peak 1）， oxysophocarpine （peak 2）， matrine （peak 10）， trifolirhizin （peak 14）， kurarinone （peak 16） and norkurarinone （peak 17）. Results of CA， PCA and OPLS-DA showed that 12 batches of S. flavescens were divided into 3 categories according to producing area， i.e. S1-S7 （Shangzhou District of Shaanxi Province） were grouped into one category， S8-S10 （Yichuan County of Henan Province） into one category and S11-S12 （Chifeng City of Inner Mongolia） into one category. VIPs of matrine， norkurarinone， kurarinone and oxysophocarpine and the chemical components represented by peak 11 and 9 were all greater than 1. The contents of matrine， norkurarinone， kurarinone and oxysophocarpine in 12 batches of S. flavescens were 2.65-4.93， 1.54-3.44， 9.63-12.94 and 5.08-6.10 mg/g， respectively. CONCLUSIONS HPLC fingerprint of S. flavescens is established successfully in the study， and can be used to screen 6 differential components by combining with chemical pattern recognition analysis， which can provide reference for quality control of S. flavescens.
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Objective:To establish the fingerprints of Plantaginis Herba.Methods:The fingerprints were determined by UPLC. The peak areas of fingerprints of different parts and origins were analyzed by variance analysis and independent sample t-test. PCA, HCA, PLS-DA and other chemical patterns were analyzed by Simca14.1. The index weight was calculated by CRITIC, and the quality of plantain evaluation was combined with grey correlation degree.Results:The fingerprints of grass, stem, leaf and spike of Plantago depressa Willd. calibrated for 24, 16, 23 and 22 common peaks. The fingerprints of grass, stem, leaf and spike of Plantaginis Herba calibrated for 22, 10, 16 and 22 common peaks, and the fingerprints of commercial mixed plantain calibrated for 23 common peaks. 10 peaks were identified. The analysis of variance showed that there were differences in chromatographic peak areas between different parts of Plantago asiatica L. and Plantago depressa Willd.. And combinedede with PLS-DA, it showed that there were 16 important characteristic indexes in the classification, and the importance ranking was peak 3, 8, 28, 12, 14, 7, 5, 17, 6, 19, 23, 11, 22, 27, 9, 16. The quality evaluation results of critical method combined with grey correlation degree showed that among Plantago depressa Willd., Plantago asiatica L. and commercial mixed plantain herbs, the quality of Plantago asiatica L. was the best. Conclusion:The mixture of plantain exists in the market. The fingerprints established in this study can be used for the identification and quality evaluation of Plantaginis Herba from different sources.
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Objective:To establish the fingerprint of Bupleuri Radix with Ultra High Performance Liquid Chromatography (UPLC) method and combining Principal Component Analysis to evaluate the quality of Bupleuri Radix in different areas. Methods:Acquity UPLC BEH-C 18 (2.1 mm×100 mm, 1.7 μm) column was used with acetonitrile (A)-water (B) solution, gradient elution. The column temperature was 30 ℃, the flow rate was 0.3 ml/min, and the detection wavelength was 200 nm, injection volume 5 μl. Results:There were 7 common peaks in the UPLC fingerprints of 10 batches of medicinal materials, and the similarity was 0.940-0.975. Through the principal component analysis, the cumulative contribution rate of three main component factors was 90.977%,and comprehensive score of S5 (Hubei) was the highest with the best quality.Conclusions:There are certain quality differences of different areas in Bupleuri Radix. Through the combination of fingerprint and principal component analysis, it can provide reference for quality control, development and application of Bupleuri Radix.
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Objective:To establish the fingerprints of Microctis Folium by ultra high performance liquid chromatography (UPLC); To determine the contents of three flavonoids in the Microctis Folium; To evaluate the quality difference of Microctis Folium from different producing areas. Methods:The fingerprints were performed on Agilent ZORBAX SB C18 column (2.1 mm×150 mm,1.8 μm). The mobile phase was acetonitrile - 0.1 % acetic acid solution with gradient elution at a flow rate of 0.30 ml/min. The column temperature was 30 ℃ and the detection wavelength was 315 nm. The common fingerprint peaks were identified by UPLC-mass spectrometry, and the identification results were confirmed by comparison of reference materials. Waters Cortecs T3 C18 chromatographic column (2.1 mm × 100 mm,1.6 μm) was used for content determination. The mobile phase was methanol-0.1 % formic acid solution with gradient elution at a flow rate of 0.35 ml/min. The column temperature was 30 ℃ and the detection wavelength was 339 nm. The contents of vitexin, isovitexin and narcissoside in 15 batches of Microctis Folium from different habitats were determine. Results:There were 11 common peaks in the fingerprint of Microctis Folium. Identified by mass spectrometry and confirmed by reference substance,10 chemical components were identified, including caffeic acid, p-hydroxycinnamic acid, ferulic acid, vitexin, isovitexin, kaempferol-3-O-rutoside, astragaloside, narcissoside, isorhamnetin-3-O-glucoside and linden glycoside. The similarity between the fingerprints of 15 batches of Microctis Folium and the control fingerprint was greater than 0.95, indicating that the overall similarity of the fingerprints of Microctis Folium from different producing areas was high. The total contents of three active components were 3.23-5.64 mg/g in Yangjiang City, Guangdong, 3.60-5.78 mg/g in Zhanjiang City, Guangdong, 4.68-5.73 mg/g in Yulin City, Guangxi and 3.87-5.21 mg/g in Wuzhishan City, Hainan . There was no significant difference in the content of three active components in different producing areas. Conclusion:The fingerprints and the determination method established in the study are stable and feasible, which can be used for the quality evaluation of Microctis Folium.
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OBJECTIVE To compare the change law of multi-components in the extraction process between Liuwei dihuang powder decoction pieces and traditional decoction pieces （hereinafter referred to as powder decoction pieces and traditional decoction pieces）， and to provide scientific basis for the modern technology research of Liuwei dihuang formula. METHODS Taking powder decoction pieces and traditional decoction pieces as samples， the samples were taken when soaking for 60 min， at 0， 5， 10， 15， 20， 25， 30， 40， 50， 60 min of the first decocting and at 5， 10， 20， 30， 40 min of the second decocting， respectively. HPLC method was used to establish the fingerprints of 2 kinds of decoction pieces with different decocting time. The similarity evaluation and peak identification were performed. The contents of 8 components including 5-hydroxyfurfural， catechin， monoglycoside， loganin， swertin glycoside， dihydroquercetin， paeonol and benzoyl paeoniflorin were all determined. RESULTS With different decocting time， the similarties between 2 kinds of decoction pieces and their respective control fingerprints R were all greater than 0.98. In the fingerprints of traditional decoction pieces， five chromatographic peaks were identified， namely， 5- hydroxyfurfural， monetin， swertiaoside， dihydroquercetin and paeonol； in the fingerprints of powder decoction pieces， six chromatographic peaks were identified， namely， 5-hydroxyfurfural， monoglycoside， swertiamarin， dihydroquercetin， paeonol and benzoyl paeoniflorin. The results of content determination showed that in the first 5 minutes of the first decocting， the decocting rate of almost all the ingredients in the powder decoction pieces was faster than that of the traditional decoction pieces； after 40 min， the contents of other active ingredients were lower than those of traditional decoction pieces except for 5-hydroxyfurfural and paeonol. In the process of second decocting， except for paeonol and loganin， the contents of other ingredients in powder decoction pieces were higher than that in traditional decoction pieces； catechin was completely decocted from the traditional decoction pieces in the first decocting， while it could still be detected in the powder decoction pieces in the second decocting. There was little difference in the total decocted amount of the 8 ingredients in the two decoction pieces. CONCLUSIONS The chemical composition of powder decoction pieces of Liuwei dihuang formula has no obvious advantages compared with traditional decoction pieces， and can not save the decocting time and the amount of medicinal materials.
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OBJECTIVE To provide reference for quality control of Gentiana rhodantha. METHODS Taking 52 batches of G. rhodantha as subject， ultra-high performance liquid chromatography （UPLC） fingerprint was adopted. The similarity of 52 batches of medicinal materials samples was evaluated by the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicine （2004A edition）； the content of mangiferin was determined； chemometric analyses [cluster analysis， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）] were performed. RESULTS UPLC fingerprints of 52 batches of G. rhodantha were established， 17 common peaks were identified， and 6 of them were identified， which were loganic acid （peak 1）， neomangiferin （peak 3）， swertiamarin （peak 5）， dangyin （peak 6）， mangiferin （peak 7） and isoorientin （peak 9）. The similarities of 52 batches of medicinal materials samples were all greater than 0.9； cluster analysis showed that S1-S46， S48-S52 clustered into one class， and S47 alone； PCA results showed that the cumulative variance contribution rate of the first six principal components was 82.928%； OPLS-DA results showed that the corresponding components of swertiamarin， mangiferin and chemical composition represented by peak 4， 14， 15， 16 were the main iconic components affecting the quality differences of G. rhodantha medicinal materials. The contents of mangiferin in 52 batches of medicinal material samples ranged from 18.2 to 101.0 mg/g， mostly in accordance with 2020 edition of Chinese Pharmacopoeia. CONCLUSIONS The established UPLC fingerprint and chemometric analysis methods combined with content determination method of mangiferin can comprehensively evaluate the quality of G. rhodantha.
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Aim To explore the material basis of anti-tumor effect of Compound Muji Granules. Methods The anti-tumor pharmacodynamics of Compound Muji Granules in vitro was studied by microfluidic chip technology. The fingerprint of Compound Muji Granules was established by HPLC. The "Spectrum-Material-Effect" of Compound Muji Granules was analyzed by grey correlation analysis,partial least squares regression analysis and network pharmacology approach. Results Seven batches of Compound Muji Granules with different extraction methods were successfully established. The results of grey correlation analysis showed that there was a positive correlation between Compound Muji Granules and 7 of the 14 components with pharmacodynamic correlation coefficient >0.80. The contribution of anti liver tumor was peak number 48(luteolin)>6(gallic acid)>19(chlorogenic acid)>59(quercetin)>67(kaempferol)>65(naringin)>38(ellagic acid),in that order. Conclusions Through the establishment of "Spectrum-Material-Effect" research method,it is clear that the above seven active monomers may be the anti-tumor material basis of Compound Muji Granules.
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ObjectiveTo explore the quality differences between steamed products and raw products of Citri Reticulatae Pericarpium（CRP）. MethodThe color of steamed products and raw products of CRP was determined from the perspective of appearance by electronic eye technique， and the quality differences between them was objectively characterized by the luminous value（L*）， yellow-blue value（b*）， red-green value（a*） and total chromatic value（E*ab）. Based on this， ultra-high performance liquid chromatography（UPLC） was used to establish a fingerprint evaluation method with the mobile phase of acetonitrile（A）-0.1% formic acid aqueous solution（B） for gradient elution（0-5 min， 5%A； 5-30 min， 5%-20%A； 30-60 min， 20%-52%A）， detection wavelength at 270 nm， flow rate of 0.3 mL·min-1 and column temperature of 30 ℃. The quality differences between steamed products and raw products of CRP were compared from the perspective of chemical composition， and correlation analysis was used to reveal the correlation between the difference in appearance color and the difference in internal chemical composition. ResultAfter being steamed， L*， b* and E*ab of CRP showed an overall decreasing trend， indicating that the color of the steamed products darkened and deepened from yellow to blue but still tended to be yellow， while a* showed an overall increasing trend， indicating that the color of the steamed products tended to red. A total of 24 peaks were identified in the fingerprint profiles of raw products and steamed products of CRP， and 13 of the main peaks were identified. The precision， stability and repeatability studies showed that compared with the reference peak （peak 14， hesperidin）， the relative standard deviations（RSDs） of the relative peak area and relative retention time of the remaining peaks were<3.0%.The results of chemometric statistical analysis showed that there were some differences between raw products and steamed products of CRP， and 7 main differential components were identified， among which 5-hydroxymaltol（peak 1） and 5-hydroxymethylfurfural（peak 2） were the characteristic components of steamed products. The correlation analysis results showed that， in addition to the above two characteristic components， four components of peak 4， peak 10 （vicenin-2）， peak 23 （tangeretin） and peak 24 （5-demethylnobiletin） also correlated significantly with the color change （E*ab） of the samples （P<0.05， P<0.01）. ConclusionBefore and after steaming， not only the chemical composition changes， but also the color. Comparing the characteristic peaks of chemical composition difference and color difference before and after steaming of CRP， it is found that 5-hydroxymaltol， 5-hydroxymethylfurfural and peak 4 are common characteristic difference components， which can provide a reference for establishing the characteristic quality control method of steamed products， and quickly evaluating the quality difference between raw products and steamed products of CRP.
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ObjectiveTo establish a high performance liquid chromatography（HPLC） fingerprint of Yanghetang benchmark sample， and evaluate its quality with chemometric methods， so as to provide a reference for the quality control of this benchmark sample. MethodHPLC was used to establish the fingerprint of Yanghetang benchmark sample with ZORBAX SB-C18 column（4.6 mm×250 mm， 5 μm）， the mobile phase was consisted of acetonitrile（A） -0.05% phosphoric acid aqueous solution （containing 0.05% triethylamine solution）（B） for gradient elution（0-5 min， 2%-3%A； 5-15 min， 3%-5%A； 15-65 min， 5%-30%A； 65-90 min， 30%-70%A）， the flow rate was 1.0 mL·min-1， the column temperature was 35 ℃， and the detection wavelength was 210， 260 nm. Traditional Chinese Medicine（TCM） Chromatographic Fingerprint Similarity Evaluation System （2012 edition） combined with cluster analysis， principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） were used to evaluate the quality differences between different batches of Yanghetang benchmark samples， and to find the main chemical components responsible for the quality differences. ResultHPLC fingerprint of Yanghetang benchmark sample was established， 13 common peaks were identified and attributed to each common peak， including peaks 2 and 8 from Rehmanniae Radix Praeparata， peaks 10 and 11 from Cinnamomi Cortex， peaks 1， 3-6 from fried Sinapis Semen， peak 13 from Ephedrae Herba， and peaks 7， 9， 12 from Glycyrrhizae Radix et Rhizoma. Eight of them were identified by comparing with control substance， which were 5-hydroxymethylfurfural（peak 2）， sinapine thiocyanate（peak 4）， glycyrrhizin（peak 7）， verbascoside（peak 8）， cinnamic acid（peak 10）， cinnamaldehyde（peak 11）， glycyrrhizic acid（peak 12） and ephedrine hydrochloride（peak 13）. The similarities of the HPLC fingerprints of 15 batches of Yanghetang benchmark samples with the control fingerprint were all greater than 0.80. The three chemometric methods could classify the samples into two categories. Eight differential components were screened out， among which 5-hydroxymethylfurfural， sinapine thiocyanate， verbascoside and ephedrine hydrochloride were identified. ConclusionThe established fingerprint analysis method is accurate， stable and reproducible， which basically reflects the overall chemical composition of Yanghetang benchmark sample， and can provide a basis for establishment of quality standards for compound preparations of this famous classical formula.
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ObjectiveTo analyze the fingerprint of six pungent herbs based on the molecular connectivity index（MCI）and the matching frequency total statistical moment method， and to study the division and integration of the "imprinting template" of their volatile components， so as to find the common "imprinting template" characteristics of the pungent herbs. MethodThe volatile components of six pungent herbs were extracted by steam distillation， and their fingerprints were established by gas chromatography-mass spectrometry（GC-MS） with a programmed temperature increase（80 ℃ for 5 min， 5 ℃·min-1 to 200 ℃ for 5 min， 2 ℃·min-1 to 230 ℃ for 10 min）， a splitting ratio of 20∶1， an electron bombardment ion source（EI） and the detection range of m/z 35-650， and the average MCI and total statistical moment parameters of the fingerprints were calculated. Then the matching frequency method was used to classify， integrate and confirm the chromatographic peaks of the fingerprints of six pungent herbs. ResultThe average zero order， first-order and second-order MCI values of the volatile components of Pogostemonis Herba， Artemisiae Argyi Folium， Atractylodis Rhizoma， Asari Radix et Rhizoma， Magnoliae Flos and Schizonepetae Herba were 9.02， 5.28 and 5.05， respectively. The average values of peak number， total zero-order moment， total first-order moment and total second-order moment were 60， 169×107， 22.49 min and 36.82 min2， respectively. The 20 integrated imprinting templates were obtained by the matching frequency method for the six pungent herbs， among which three were common imprinting templates with the retention times of （25.97±0.21），（26.90±0.20），（31.64±1.24） min， respectively， and the representative components were valencene，β-elemene， caryophyllin， etc. ConclusionMCI combined the matching frequency total statistical moment can divide and integrate the characteristics of imprinting templates of six pungent herbs， and find their common chromatographic imprinting characteristics， which can provide a reference for the determination of effective substances of pungent herbs.
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OBJECTIVE To establish the fingerprint of Huangqin decoction （HQD）， to separate the phase states and screen the active phase states of antidermatophytic activity so as to study the spectrum-effect relationship. METHODS HPLC method was adopted using baicalin as reference， the fingerprints of 10 batches of HQD were drawn and the similarity evaluation was carried out using the Similarity Evaluation System of Chromatographic Fingerprint of TCM （2012 edition） to determine the common peak； the phase states of HQD were separated and characterized by high-speed centrifugation and membrane dialysis. The minimum inhibitory concentrations （MIC） of HQD and its different phase states against Trichophyton mentagrophytes were determined simultaneously. Using the peak area of 37 common peaks as independent variable， MIC as dependent variable， Pearson correlation analysis was performed by using SPSS 21.0 software. RESULTS A total of 37 common peaks were obtained in HPLC fingerprints of 10 batches of HQD， with the similarity higher than 0.99. Ten components were identified， such as albiflorin， paeoniflorin， liquiritin apioside， baicalin， melaleuca glycoside A， wogonoside， baicalein， glycyrrhizic acid， wogonin and oroxylin A. HQD was split into 3 phase states， such as precipitation phase （HQD-P）， solution phase （HQD-S） and nano phase （HQD-N）. The morphology of HQD-P was irregular granular， and the average particle size was 4.670-91.522 μm. The morphology of HQD-S was uniform flakes， and no particle size was detected. HQD-N was spherical in shape and the particle size was （129.0±12.9） nm. MIC values of each phase state of HQD against T. mentagrophytes in different phase states were HQD-N （4.64 mg/mL） ＜HQD （5.85 mg/mL） ＜HQD-P （7.37 mg/mL） ＜HQD-S （12.89 mg/mL） at the same dosage. Pearson correlation analysis showed that the peak area of 25 of the 37 common peaks （including identified components） was significantly negatively correlated with MIC （absolute values of correlation coefficient＞0.95 and P＜0.05）. CONCLUSIONS The chemical composition of 10 batches of HQD is consistent； HQD-N is the active phase state of HQD. Ten components such as paeoniflorin， liquiritin apioside and baicalin may be the main active components of HQD. The antidermatophytic effect of HQD is closely related to its component content and physical phase state.
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@#The UPLC fingerprint of colistimethate sodium was established for the study of quality consistency.The chromatographic column was Acquity UPLC? Peptide CSH C18 (2.1 mm × 150 mm, 1.7 μm).The mobile phase A was phosphate buffer-acetonitrile (19∶1), and the mobile phase B was phosphate buffer-acetonitrile (1∶1).The mobile phase was in gradient elution at a flow rate of 0.3 mL/min.The column temperature was set at 30 °C and the detection wavelength was 210 nm.The similarity of the fingerprints was analyzed with the Similarity Evaluation System for Chromatographic Fingerprint of Tradition Chinese Medicine (Version 2012) in combination with content determination of multiple index components to evaluate the quality consistency of imported and domestic bulk drugs.The result showed that both the original and generic bulk drugs met the specified limit requirements in the European Pharmacopoeia standards, and that their UPLC fingerprints were highly similar, indicating that the quality of the two substances was consistent.Establishing a fingerprint for similarity evaluation and combining it with the results of indicator component content determination as a comprehensive evaluation method for the study of drug quality consistency of complex components has the characteristics of fast, accurate, and comprehensive, which is helpful for drug quality evaluation and provides ideas for the evaluation of antibiotic quality consistency of complex components.
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OBJECTIVE To establish the HPLC fingerprint of Jianpi huayu decoction， and to determine the contents of 8 components. METHODS Thermo Hypersil Gold C18 column was used with mobile phase consisted of methanol-0.05% phosphoric acid aqueous solution （gradient elution） at the flow rate of 1.0 mL/min. The column temperature was 30 ℃， the injection volume was 5 μL. The detection wavelength of matrine was 211 nm， and the other components’ detection wavelength was 283 nm. The similarity evaluation of HPLC fingerprints for 10 batches of Jianpi huayu decoction was performed by using the Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. The contents of chlorogenic acid， vanillic acid， p-coumaric acid， ferulic acid， hesperidin， quercetin， bergapten and matrine in the samples were determined by HPLC. RESULTS HPLC fingerprint of Jianpi huayu decoction was established. A total of 27 common peaks were identified， and 8 components were identified. The similarity between 10 batches of samples and the control map ranged from 0.942-0.999. RSDs of precision， repeatability and stability tests were less than 3% （n＝6）. The average recoveries of chlorogenic acid， vanillic acid， p-coumaric acid， ferulic acid， hesperidin， quercetin， bergapten and matrine were 99.48%， 101.32%， 101.18%， 100.79%， 101.12%， 99.19%， 99.81% and 102.46%， respectively； RSDs were 1.34%， 0.93%， 1.90%， 1.84%， 0.54%， 1.53%， 1.33% and 1.01%， respectively （n＝6）. The contents were 0.021-0.061， 0.025-0.034， 0.116-0.295， 0.006- 0.062， 0.014-0.053， 0.017-0.026， 0.014-0.027 and 14.05-24.11 mg/g， respectively. CONCLUSIONS The established fingerprint and content determination method can provide a reference for the quality control and subsequent preparation development for Jianpi huayu decoction.
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OBJECTIVE To establish the HPLC fingerprint of Xintongshu spray， determine the contents of identified components， and investigate the transferring patterns of the index components of decoction pieces， intermediates and spray， so as to provide scientific reference for technology management and quality control of Xintongshu spray. METHODS HPLC fingerprints of 13 batches of Xintongshu spray were established by the Similarity Evaluation System for Chromatographic Fingerprints of TCM （2012 edition）， and common peaks were identified； the contents of identified components were determined by HPLC. The paeonol in Moutan Cortex and ferulic acid in Chuanxiong Rhizoma were used as index components to investigate the transferring patterns of them in decoction pieces， intermediates and spray. RESULTS There were a total of 33 common peaks in the fingerprints of 13 batches of Xintongshu spray， and the similarities were more than 0.994. Eight components were identified， i.e. gallic acid （peak 5）， oxypaeoniflorin （peak 9）， chlorogenic acid（peak 10）， caffeic acid （peak 14）， paeoniflorin （peak 17）， ferulic acid （peak 21）， senkyunolide Ⅰ （peak 27） and paeonol （peak 31）. The contents of 8 components ranged from 0.590 3- 0.719 7， 0.565 7-0.851 3， 0.279 4-0.368 1， 0.080 6-0.106 1， 1.922 5-3.033 5， 0.151 3-0.191 6， 0.250 6-0.336 0， 3.056 7-4.161 0 mg/mL， respectively. The average transfer rates of paeonol and ferulic acid from decoction pieces to sprays were 63.76% and 38.06%， respectively. It was also found that the process in which the loss of paeonol was more than 30% was the extraction by percolation and negative pressure concentration of Moutan Cortex. The process in which the loss of ferulic acid was more than 50% was the steam distillation extraction process of Chuanxiong Rhizoma. CONCLUSIONS The established HPLC fingerprint and content determination method of Xintongshu spray are reproducible and specific. The key processes that cause a decrease in the average transfer rates of the index components are the extraction by percolation and negative pressure concentration of Moutan Cortex and steam distillation extraction of Chuanxiong Rhizoma.
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@#Introduction: Fingermarks left at a crime scene can indicate the presence of an individual and his/her involvement in the crime. Fingermarks, usually invisible, can appear on any surface and may be contaminated by any exogenous substances, including drug substance. Recovery of fingermarks contaminated by drug substance is crucial to link an individual with the drug-related crimes. Hence, this study was aimed to investigate the recovery and visualisation of methamphetamine-contaminated fingermarks from various non-porous surface materials. Methods: In this study, fingermarks were deposited on 11 types of surface materials varied by the presence of methamphetamine contamination, immediacy of deposition, and their concentration levels. Each fingermark was then developed using white and black fingerprint powders, graded, and compared based on the different settings. Results: Application of fingerprint powder was good in developing fingermarks; however, its suitability depends on the nature of the surface materials. Black fingerprint powder produced better visualisation where the fingermarks on all the 11 surface materials tested in this study were successfully recovered compared to white fingerprint powders. Methamphetamine-contaminated fingermarks could still be recovered using the fingerprint powder dusting method, but the fingermark grade was reduced due to the presence of exogenous substance. Conclusion: To conclude, the recovery and visualisation of methamphetamine-contaminated fingermarks on non-porous surfaces were successfully carried out through the application of fingerprint powder. A more severe contamination might lead to lower fingermark grade showing lesser ridge details.
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OBJECTIVE To establish the fingerprint of total saponins from Mussaenda pubescens， and to study the spectrum- effect relationship of its hepatoprotective activity. METHODS Ten batches of total saponins from M. pubescens from different origins were prepared using 75% ethanol as solvent. High-performance liquid chromatography （HPLC） and the Similarity Evaluation System for Traditional Chinese Medicine Chromatographic Fingerprints （2012 edition） were used to draw the fingerprints of 10 batches of total saponins from M. pubescens. The similarity evaluation and identification of common peaks were conducted. The same HPLC method was adopted to determine the contents of five triterpenoid saponins （mussaendoside H， mussaendoside U， mussaglaoside C， mussaendoside G and mussaendoside O）. The hepatoprotective effect of total saponins from M. pubescens was investigated by establishing carbon tetrachloride-induced acute liver injury model mice， and the spectrum-effect relationship was studied by using grey correlation analysis. RESULTS There were 11 common peaks in 10 batches of total saponins from M. pubescens， 5 of which were identified， i.e. mussaendoside H （peak 3）， mussaendoside U （peak 7）， mussaglaoside C （peak 8）， mussaendoside G （peak 9） and mussaendoside O （peak 11）； the similarities of 10 batches of samples ranged 0.940- 0.991. Average contents of mussaendoside H， mussaendoside U， mussaglaoside C， mussaendoside G， mussaendoside O were 0.01- 0.05， 0.10-0.21， 0.10-0.18， 0.03-0.08， 0.20-0.40 mg/g， respectively. Ten batches of total saponins from M. pubescens could generally reduce the contents of alanine aminotransferase （ALT） and aspartate aminotransferase （AST） in serum， and tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6） and IL-1β in liver tissue of model mice （P＜0.05 or P＜0.01）. The E-mail：13878195336@139.com correlation between the common peak areas and the contents of ALT， AST， TNF-α， IL-6 and IL-1β were 0.602-0.757， 0.585-0.833， 0.593-0.795， 0.618-0.820， 0.607-0.804， respectively； the peaks with high correlation were peaks 11， 9 and 8 in order. CONCLUSIONS Ten batches of total saponins from M. pubescens have similar components， and the average contents of mussaendoside H， mussaendoside U， mussaglaoside C， mussaendoside G and mussaendoside O are different. The batches of samples have a certain degree of hepatoprotective effect； mussaendoside O， mussaendoside G and mussaglaoside C may be its main active components.
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OBJECTIVE To establish the fingerprint of the ethanol extract from Callicarpa nudiflora， analyze its anti- respiratory syncytial virus （RSV） activity in vitro， and study the relationship between spectrum and effect. METHODS Using 10%， 30%， 50%， 70% and 90% ethanol as solvent， 20 batches of ethanol extracts from 4 batches of C. nudiflora were prepared. The fingerprints for 20 batches of ethanol extracts from C. nudiflora were mapped by ultra-high-performance liquid chromatography （UPLC）， and the similarity evaluation was conducted by using the Similarity Evaluation System for Traditional Chinese Medicine Chromatographic Fingerprints （2012 edition）. The cytopathic effect method and MTT method were used to investigate the in vitro inhibitory activity of the ethanol extracts from C. nudiflora on RSV. Pearson correlation analysis， grey correlation degree and orthogonal partial least squares （OPLS） analysis were used to study the spectrum-effect relationship. RESULTS There were 25 common peaks in 20 batches of ethanol extracts from C. nudiflora， and the similarities ranged from 0.912 to 0.998， and the RSDs of common peak areas were 33.54%-162.28%. The average values of IC50 for RSV of 20 batches of ethanol extracts from C. nudiflora were 9.55-272.23 μg/mL. The results of Pearson correlation analysis， grey correlation analysis and OPLS analysis showed that the Pearson correlation coefficients （P＜0.05） of the common peaks 8， 10， 12， 16， 18-19， 22-24 with pharmacodynamic indicators and regression coefficients were all negative， the correlation coefficients were all greater than 0.6， and the values of variable importance in projection were all greater than 1. CONCLUSIONS Twenty batches of ethanol extracts from C. nudiflora have similar components but significant differences in content， and exhibit different degrees of anti-RSV activity in vitro. The corresponding components of common peaks 8， 10， 12， 16， 18-19， 22-24 may be the characteristic components of anti-RSV of C. nudiflora.