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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 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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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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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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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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According to the method of predicting the physical properties of oily powder based on the additive physical properties of Chinese medicinal powder, Dioscoreae Rhizoma and calcined Ostreae Concha with high sieve rate and good fluidity were mixed and crushed with Persicae Semen, Platycladi Semen, Raphani Semen, Ziziphi Spinosae Semen, and other typical oily materials with high fatty oil content in proportion to obtain 23 mixed powders. Fifteen physical properties such as bulk density, water absorption, and maximum torque force were measured, and the physical properties of typical oily powders were predicted. When the mixing and grinding ratio was in the range of 5∶1-1∶1, the r value in the correlation equation between the weighted average score of the mixed powder and the powder proportion ranged from 0.801 to 0.986, and the linearity was good, indicating that the method of predicting the physical properties of oily powder based on the additive physical properties of traditional Chinese medicine(TCM)powder was feasible. The results of cluster analysis showed that the classification boundaries of the five kinds of TCM materials were clear, and the similarity of the physical fingerprints of powdery and oily materials decreased from 80.6% to 37.2%, which solved the problem of fuzzy classification boundaries of powdery and oily materials due to the lack of representativeness of oily material model drugs. The classification of TCM materials was optimized, laying a foundation for optimizing the prediction model of the prescription of personalized water-paste pills.
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Medicine, Chinese Traditional , Drugs, Chinese Herbal , Powders , PrescriptionsABSTRACT
The odor fingerprint of Pollygonati Rhizoma samples with different mildewing degrees was analyzed and the relationship between the odor variation and the mildewing degree was explored. A fast discriminant model was established according to the response intensity of electronic nose. The α-FOX3000 electronic nose was applied to analyze the odor fingerprint of Pollygonati Rhizoma samples with different mildewing degrees and the radar map was used to analyze the main contributors among the volatile organic compounds. The feature data were processed and analyzed by partial least squares discriminant analysis(PLS-DA), K-nearest neighbor(KNN), sequential minimal optimization(SMO), random forest(RF) and naive Bayes(NB), respectively. According to the radar map of the electronic nose, the response values of three sensors, namely T70/2, T30/1, and P10/2, increased with the mildewing, indicating that the Pollygonati Rhizoma produced alkanes and aromatic compounds after the mildewing. According to PLS-DA model, Pollygonati Rhizoma samples of three mildewing degrees could be well distinguished in three areas. Afterwards, the variable importance analysis of the sensors was carried out and then five sensors that contributed a lot to the classification were screened out: T70/2, T30/1, PA/2, P10/1 and P40/1. The classification accuracy of all the four models(KNN, SMO, RF, and NB) was above 90%, and KNN was most accurate(accuracy: 97.2%). Different volatile organic compounds were produced after the mildewing of Pollygonati Rhizoma, and they could be detected by electronic nose, which laid a foundation for the establishment of a rapid discrimination model for mildewed Pollygonati Rhizoma. This paper shed lights on further research on change pattern and quick detection of volatile organic compounds in moldy Chinese herbal medicines.
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Electronic Nose , Odorants/analysis , Volatile Organic Compounds/analysis , Bayes Theorem , Drugs, Chinese Herbal/analysis , Discriminant AnalysisABSTRACT
Rosae Radix et Rhizoma is a herbal medicine in a variety of famous Chinese patent medicines, while the quality standard for this medicine remains to be developed due to the insufficient research on the quality of Rosae Radix et Rhizoma from different sources. Therefore, this study comprehensively analyzed the components in Rosae Radix et Rhizoma of different sources from the aspects of extract, component category content, identification based on thin-lay chromatography, active component content determination, and fingerprint, so as to improve the quality control. The results showed that the content of chemical components varied in the samples of different sources, while there was little difference in the chemical composition among the samples. The content of components in the roots of Rosa laevigata was higher than that in the other two species, and the content of components in the roots was higher than that in the stems. The fingerprints of triterpenoids and non-triterpenoids were established, and the content of five main triterpenoids including multiflorin, rosamultin, myrianthic acid, rosolic acid, and tormentic acid in Rosae Radix et Rhizoma was determined. The results were consistent with those of major component categories. In conclusion, the quality of Rosae Radix et Rhizoma is associated with the plant species, producing area, and medicinal parts. The method established in this study lays a foundation for improving the quality standard of Rosae Radix et Rhizoma and provides data support for the rational use of the stem.
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Drugs, Chinese Herbal/chemistry , Rhizome/chemistry , Plant Roots/chemistry , Plants, Medicinal , Quality ControlABSTRACT
In order to comprehensively evaluate the quality of Viticis Fructus, this study established HPLC fingerprints and evaluated the quality of 24 batches of Viticis Fructus samples from different species by similarity evaluation and multivariate statistical analysis(PCA, HCA, PLS-DA). On this basis, an HPLC method was established to compare the content differences of the main components, including casticin, agnuside, homoorientin, and p-hydroxybenzoic acid. The analysis was performed on the chromatographic column(Waters Symmetry C_(18)) with a gradient mobile phase of acetonitrile(A)-0.05% phosphoric acid solution(B) at the flow rate of 1 mL·min~(-1) and detection wavelength of 258 nm. The column temperature was 30 ℃ and the injection volume was 10 μL. The HPLC fingerprint of 24 batches of Viticis Fructus samples was established with 21 common peaks, and nine peaks were identified. Similarity analysis was carried out based on chromatographic data of 24 batches of chromatographic data of Viticis Fructus, and the results showed that except for DYMJ-16, the similarity of Vitex trifolia var. simplicifolia was ≥0.900, while that of V. trifolia was ≤0.864. In addition, the similarity analysis of two different species showed that the similarity of 16 batches of V. trifolia var. simplicifolia was 0.894-0.997 and that of the eight batches of V. trifolia was between 0.990 and 0.997. The results showed that the similarity of fingerprints of these two species was different, but the similarity between the same species was good. The results of the three multivariate statistical analyses were consistent, which could distinguish the two different species. The VIP analysis results of PLS-DA showed that casticin and agnuside contributed the most to the distinction. The content determination results showed that there was no significant difference in the content of homoorientin and p-hydroxybenzoic acid in Viticis Fructus from different species, but the content of casticin and agnuside was significantly different in different species(P<0.01). The content of casticin was higher in V. trifolia var. simplicifolia, while agnuside was higher in V. trifolia. The findings of this study show that there are differences in fingerprint similarity and component content of Viticis Fructus from different species, which can provide references for the in-depth study of the quality and clinical application of Viticis Fructus.
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Drugs, Chinese Herbal/chemistry , Chromatography, High Pressure Liquid/methods , Fruit/chemistry , Vitex/chemistryABSTRACT
The present study aims to explore the genetic diversity of germplasm resources of Chrysanthemum×morifolium (hereinafter, C.×morifolium) at the molecular level and to establish a fingerprint database of C.×morifolium varieties. We employed 12 pairs of primers with high levels of polymorphism, clear bands, and high degrees of reproducibility to analyze the SSR molecular markers and genetic diversity of 91 C.×morifolium materials and 14 chrysanthemum- related materials. With regard to constructing the fingerprints of the tested materials, we chose 9 pairs of core primers. The findings revealed that 12 primer pairs detected 104 alleles in 105 samples, ranging from 2 to 26. The average number of observed alleles (Na) per site was 9.25. The average number of effective alleles (Ne) per site was 2.745 6, with its range being 1.276 0 to 4.742 5. Shannon genetic diversity index (I) values ranged between 0.513 3 and 2.239 9 (M=1.209 0). Nei's gene diversity index (H) ranged between 0.216 3 and 0.789 1 (M=0.578 0). The observed heterozygosity (Ho) ranged between 0.223 3 and 0.895 2 (M=0.557 5). The expected heterozygosity (He) ranged between 0.217 4 and 0.793 3 (M=0.580 8). The polymorphism information content (PIC) ranged between 0.211 5 and 0.774 0 (M=0.532 9). The genetic similarity (GS) ranged between 0.228 5 and 1.000 0 (M=0.608 3). Cluster analysis revealed that when the genetic distance (GD) equals to 0.30, the tested materials can be classified into 2 groups. When the GD equals to 0.27, the first group can be divided into 6 subgroups; accordingly, 105 tested materials can be divided into 7 subgroups. The cophenetic correlation test was carried out based on the cluster analysis, and the corresponding results showed that the cluster map correlated with the genetic similarity coefficient (r=0.952 73). According to the results of Structure population analysis, we obtained the optimal population number, with the true number of populations (K) being 3 and the population being divided concerning Q≥0.5. Three subgroups, i.e., Q1, Q2 and Q3, included 34, 33 and 28 germplasms, respectively, and the remaining 10 germplasms were identified as the mixed population. During the experiment, 9 pairs of core primers were screened among the total of 12 for a complete differentiation regarding 105 tested materials, and the fingerprints of 91 C.×morifolium materials and 14 chrysanthemum-related materials were further constructed. Overall, there were significant genetic differences and rich genetic diversity among C.×morifolium materials, which would shed light on the garden application and variety selection fields of C.×morifolium. The fingerprint database of 105 C.×morifolium varieties and chrysanthemum-related species may provide technical support for future research regarding the identification and screening system of C.×morifolium varieties.
Subject(s)
Genetic Variation , Chrysanthemum/genetics , Reproducibility of Results , Microsatellite Repeats/genetics , Polymorphism, Genetic , Biomarkers , PhylogenyABSTRACT
OBJECTIVE@#Pseudostellaria heterophylla has been paid more attention in recent years, mainly as a medicine food homology plant. The content determination of P. heterophylla is not specified in the Chinese Pharmacopoeia (version 2020). The environmental conditions in different production areas could exert an influence on the quality of P. heterophylla. The purpose of this study is to discriminate P. heterophylla collected from different geographical origins of China.@*METHODS@#In this study, the content of polysaccharide in 28 batches of P. heterophylla was determined using phenol-sulfuric acid. HPLC fingerprints were established under optimised HPLC-PDA methods. Subsequently, the similarity analysis (SA) and the quantification of heterophyllin B were analyzed. The metabolites of P. heterophylla were identified and evaluated using UHPLC-Q Exactive HF orbitrap MS system. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), hierarchical cluster analysis (HCA) and orthogonal PLS-DA (OPLS-DA) were performed based on all peak areas.@*RESULTS@#The polysaccharide content in Guizhou and Jiangsu was higher than that of other production areas, which varied significant from different origins. While the content of heterophyllin B in Anhui and Jiangsu was high. The correlation coefficients of HPLC fingerprints for 28 batches samples ranged from 0.877 to 0.990, and the characteristic map can be used to identify and evaluate the quality of P. heterophylla. The samples from Fujian, Guizhou, Jiangsu provinces can be relatively separated using multivariate statistical analysis including PCA, PLS-DA, HCA, OPLS-DA, indicating that their metabolic compositions were significantly different. Ultimately, a total of 15 metabolites which were filtrated by a VIP-value > 1 and a P-value < 0.05 associated with the separation of different origins were identified.@*CONCLUSION@#HPLC fingerprint was established to evaluate the quality and authenticity of P. heterophylla. The present work showed that the difference of geographic distributions had an influence on the internal chemical compositions. A sensitive and rapid untargeted metabolomics approach by UHPLC-Q Exactive HF orbitrap MS was utilized to evaluate P. heterophylla from different origins in China for the first time. Overall, this study provides insights to metabolomics of P. heterophylla and supplies important reference values for the development of functional foods.
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Huocao(a traditional Chinese herbal medicine) moxibustion is a characteristic technology in Yi medicine suitable for cold-dampness diseases. Huocao, as the moxibustion material, is confusedly used in clinical practice and little is known about its quality control. In this study, UPLC method was used to establish the chemical fingerprint of non-volatile components in Huocao, and the contents of eight phenolic acids such as chlorogenic acid were determined. Multivariate statistical analysis was performed to obtain the indicator components of Huocao for quality evaluation, and thus a comprehensive evaluation system for the quality of Huocao was built. The UPLC fingerprints of 49 batches of Huocao were established, and there were 20 common peaks, of which eight phenolic acids including neochlorogenic acid and chlorogenic acid were identified. Except for three batches of Huocao, the similarity of the other 46 batches was higher than 0.89, suggesting that the established fingerprint method could be used for quality control of the medicinal herb. The correlation coefficient between entropy weight score of the eight phenolic acids and comprehensive fingerprint score in Huocao was 0.875(P<0.01), which indicated that the eight phenolic acids could be used as indicator components for the quality evaluation of Huocao. Furthermore, in multivariate statistical analysis on the common peaks of fingerprint and the contents of the eight phenolic acids, chlorogenic acid, isochlorogenic acid A and isochlorogenic acid C were screened to be the indicator components. The results revealed that the proposed method achieved a simple and accurate quality control of Huocao based on UPLC fingerprint and multi-component content determination, which provided useful data for establishing the quality standard of Huocao.
Subject(s)
Chlorogenic Acid , Entropy , Hydroxybenzoates , Quality ControlABSTRACT
Since Curcumae Radix decoction pieces have multiple sources, it is difficult to distinguish depending on traditional cha-racters, and the mixed use of multi-source Curcumae Radix will affect its clinical efficacy. Heracles Neo ultra-fast gas phase electronic nose was used in this study to quickly identify and analyze the odor components of 40 batches of Curcumae Radix samples from Sichuan, Zhejiang, and Guangxi. Based on the odor fingerprints established for Curcumae Radix decoction pieces of multiple sources, the odor components was identified and analyzed, and the chromatographic peaks were processed and analyzed to establish a rapid identification method. Principal component analysis(PCA), discriminant factor analysis(DFA), and soft independent modeling cluster analysis(SIMCA) were constructed for verification. At the same time, one-way analysis of variance(ANOVA) combined with variable importance in projection(VIP) was employed to screen out the odor components with P<0.05 and VIP>1, and 13 odor components such as β-caryophyllene and limonene were hypothesized as the odor differential markers of Curcumae Radix decoction pieces of diffe-rent sources. The results showed that Heracles Neo ultra-fast gas phase electronic nose can well analyze the odor characteristics and rapidly and accurately discriminate Curcumae Radix decoction pieces of different sources. It can be applied to the quality control(e.g., online detection) in the production of Curcumae Radix decoction pieces. This study provides a new method and idea for the rapid identification and quality control of Curcumae Radix decoction pieces.
Subject(s)
Drugs, Chinese Herbal/analysis , Electronic Nose , China , Plant Roots/chemistry , Limonene/analysis , Chromatography, High Pressure LiquidABSTRACT
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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OBJECTIVE To establish the fingerprints of Ardisia crenata， Sophora tonkinensis and their couplet medicines， and to determine the contents of five components in them. METHODS Using water as solvent， single lyophilized powder of A. crenata and S. tonkinensis and combined lyophilized powder of their couplet medicines were prepared by combining lyophilization technology. The fingerprints of three lyophilized powder samples were established by using high-performance liquid chromatography （HPLC）， and the contents of 5 kinds of components such as gallic acid were determined simultaneously. RESULTS There were 5， 10 and 14 common peaks in the fingerprints for single lyophilized powder of A. crenata and S. tonkinensis and combined lyophilized powder of their couplet medicines； the similarities of them with the control fingerprints were all greater than 0.90. For combined lyophilized powder of couplet medicines， peak 3 Δ 基金项目 国家重点研发计划项目（No.2018YFC1708100）；贵 州省科技计划项目（No.黔科合基础-ZK〔2022〕一般483，No.黔科合成 was identified as gallic acid， peak 4 as matrine， peak 6 as 果〔2021〕一般137）；贵州省教育厅高等学校科学研究项目（青年项目） oxymatrine， peak 8 as bergenin， and peak 14 as trifolirhizin. In single lyophilized powder of A. crenata， the average contents of gallic acid and bergenin were 0.499 3 and 4.962 6 mg/g， respectively. In single lyophilized powder of S.tonkinensis， the average contents of matrine， oxymatrine and trifolirhizin were 3.046 0， 2.336 6 and 0.278 6 mg/g， respectively. In combined lyophilized powder of couplet medicines， the average contents of gallic acid， matrine， oxymatrine， bergenin and trifolirhizin were 0.560 6， 2.548 7， 1.382 2， 5.960 7 and 0.279 1 mg/g， respectively. The transfer rates were 8.87%-513.19%. CONCLUSIONS The established fingerprint and content determination methods are stable and feasible， and can be used for the quality control of A. crenata and S. tonkinensis and their couplet medicines. The average contents of matrine and oxymatrine in combined lyophilized powder of A. crenata-S. tonkinensis couplet medicines are decreased.
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Strengthening the standard formulation and quality management of traditional Chinese medicine（TCM） dispensing granules is an important part of the strategic planning for the development of TCM in China. In order to examine the clinical application and overall quality control of the existing national standards for TCM dispensing granules， this study classified and summarized the varieties in the existing standards， analyzed their clinical applicability， and discussed the characteristics of the test methods for identification， content determination and specific chromatogram/fingerprint. It was found that the coverage of the existing standards was inadequate in terms of quantity， and it was even weaker in the aspects of therapeutic efficacy， herb family， processing method and preparation method of TCM dispensing granules. It was concluded that the characteristics of national standards in test methods were summarized as follows：guided by clinical application， based on the reference system， taking specific chromatogram as a breakthrough， so as to improve the overall quality control of TCM dispensing granules. It is suggested that the coverage of national standards should be subsequently expanded to meet the needs of market development. In order to enhance clinical applicability， the content of national quality standards should be increased， including increasing variety diversity to meet the needs of clinical application， raising the standard requirements to improve the clinical medication experience， and strengthening effectiveness research to highlight clinical efficacy. At the same time， the accessibility of regulatory inspection is enhanced， the rules for the management of varieties without national standards are promulgated to lay the foundation for the healthy and orderly development of TCM dispening granule industry.