Fingerprint Of Traditional Chinese Medicine Research Articles

Application of ion chromatographic fingerprint analysis for quality evaluation of tobacco flavors

Tobacco flavor, an important tobacco additive, is an essential raw material in cigarette production that can effectively improve the quality of tobacco products, add aroma and taste, and increase the suction flavor. The quality consistency of tobacco flavors affects the quality stability of branded cigarettes. Therefore, the quality control of tobacco flavors is a major concern for cigarette and flavor manufacturers. Physical and chemical indices, odor similarity, and sensory efficacy are employed to evaluate the quality of tobacco flavors, and the analysis of chemical components in tobacco flavors is usually conducted using gas chromatography (GC) and high performance liquid chromatography (HPLC). However, because the composition of tobacco flavors is complex, their quality cannot be fully reflected using a single component or combination of components. Therefore, establishing an objective analytical method for the quality control of tobacco flavors is of extreme importance. Chromatographic fingerprint analysis is routinely used for the discriminative analysis of tobacco flavors. Chromatographic fingerprints refer to the general characteristics of the concentration profiles of different chemical compounds. In the daily procurement process, fingerprints established by GC and HPLC are effective for the evaluation and identification of tobacco flavors. However, given continuous improvements in aroma-imitation technology, some flavors with high similarity cannot be directly distinguished using existing methods. In this study, a method for the determination of organic acids and inorganic anions in tobacco flavors based on ion chromatography (IC) was developed to ensure the quality consistency of tobacco flavors. A 1.0 g sample of tobacco flavors and 10 mL of deionized water were mixed and vibrated for 30 min. The aqueous sample solution was passed through a 0.45 μm membrane filter and RP pretreatment column in succession to eliminate interferences and then subjected to IC. Standard solutions containing nine organic acids and seven inorganic anions were used to identify the anions in the tobacco flavors, and satisfactory reproducibility was obtained. The relative standard deviations (RSDs) for retention times and peak areas were <0.71% and <6.02%, respectively. The chromatographic fingerprints of four types of tobacco flavors (samples A-D) from five different batches were obtained. Nine tobacco flavor samples from different manufacturers (samples AY1-AY3, BY1-BY2, CY1-CY2, DY1-DY2) were also analyzed to obtain their chromatographic fingerprints. Hierarchical cluster and similarity analyses were used to evaluate the quality of tobacco flavors from different manufacturers. Hierarchical clustering refers to the process of subdividing a group of samples into clusters that exhibit a high degree of intracluster similarity and intercluster dissimilarity. The dendrograms obtained using SPSS 12.0 indicated good quality consistency among the samples in different batches. Samples AY3, BY2, CY2, and DY1 clustered with the batches of standard tobacco flavors. Therefore, hierarchical cluster analysis can effectively distinguish the quality of products from different manufacturers. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine (version 2.0) was used to evaluate the similarity between the standard tobacco flavors and products from different manufacturers. Among the samples analyzed, samples AY3, BY2, CY2, and DY1 showed the highest similarity values (>97.7%), which was consistent with the results of the hierarchical cluster analysis. This finding indicates that IC combined with chromatographic fingerprint analysis could accurately determine the quality of tobacco flavors. GC combined with ultrasonic-assisted liquid-liquid extraction was also used to analyze the tobacco flavors and verify the accuracy of the proposed method. Compared with GC coupled with ultrasonic-assisted liquid-liquid extraction, IC demonstrated more significant quality differences among certain tobacco flavors.

Optimization of supercritical CO2 fluid extraction process, component analysis, and antioxidant spectral activity correlation of Huoluo Xiaoling Dan

ABSTRACT This study elucidated the optimization conditions, GC-MS analysis conditions, total antioxidant activity, and components closely related to antioxidant activity for supercritical extraction of active ingredients in Huoluo Xiaoling Dan (HLXLD). The yield, octyl acetate content, and total antioxidant activity of HLXLD under different conditions were obtained through orthogonal experiments, and the optimal supercritical extraction conditions were determined to be 45°C, 25 MPa, and 4 h. The supercritical extract was subjected to GC-MS analysis and matched with the WILEY and NIST databases, resulting in the qualitative identification of 37 chemical components with a matching degree above 60. The similarity evaluation system of traditional Chinese medicine fingerprint was used to evaluate all orthogonal experimental samples, with a similarity ranging from 0.522 to 0.989. Thirteen common characteristic peaks were selected, and the quantification of these peaks was performed using peak area normalization method. The combination of the content of common characteristic peaks in different samples and their total antioxidant activity was analyzed using multivariate statistical methods such as principal component analysis and multiple regression equation. It was found that five components, F3, F2, F5, F7 and F12, among the common characteristic peaks were closely related to antioxidant activity.

Characterization of the pyrolysis patterns of 44 synthetic cannabinoids and their application in illicit drug analysis

The toxicological research and analysis of synthetic cannabinoids (SCs) have been the focus of scientists. SCs often cause severe acute intoxication after smoking, which may be related to the pyrolysis products formed during the heating process. However, the toxicology studies in vitro and in vivo are hampered by the lack of data on pyrolysis products. Moreover, SCs are diverse and rapidly updated, and the detection of SCs is always a step behind the changes in the illegal market. Here, 44 SCs were analyzed using pyrolysis-gas chromatography/mass spectrometry at 300, 600, and 800 ℃, respectively. The pyrolysis patterns of different SCs under the oxygen-free condition were proposed, based on the pyrolysis products. The shared and characteristic pyrolysis products of 44 SCs were obtained and employed as analytical markers for SCs identification. SCs in one seized e-liquid sample were accurately identified on the basis of the shared and characteristic pyrolysis products. The pyrogram profiles obtained by pyrolyzing SC standards at 600 ℃ were characteristic and reproducible. Therefore, a pyrogram library containing 44 entries for SCs was built through Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine. The pyrogram fingerprinting was used to identify eight unknown SC powders successfully. The results demonstrate the great potential of the pyrolysis pattern of SCs in drug analysis.

HPLC fingerprints of polygonum cuspidatum power and polygonum cuspidatum ointment and simultaneous determination of six constituents

Polygonum Cuspidate (P. cuspidatum) is a traditional topical preparation of Chinese medicine. The aim of this study was to develop HPLC fingerprints for P. cuspidatum Powder and P. cuspidatum Ointment, as well as to determine the total stilbene and total anthraquinone contents in them. A XB-C18 column (250 ​mm ​× ​4.6 ​mm, 5 ​μm) was used with a mobile phase consisting of 0.1% phosphoric acid solution-acetonitrile and a gradient elution. The flow rate was 1.0 ​ml/min and the detection wavelength was 286 ​nm. The column temperature was 30 ​°C and injection volume was 10 ​μl. The similarity evaluation system for chromatographic fingerprint of traditional Chinese medicine (2012 edition) was employed to confirm the common peaks at 13 batches of samples and to assess the similarity. The study revealed that 20 common peaks were identified in both P. cuspidatum powder and P. cuspidatum ointment, with a similarity greater than 0.95. Amongst them, seven components were attributed and confirmed, which were identified as polydatin, resveratrol, emodin-8-glucoside, aloe-emodin, rhein, emodin and physcion. Under the established conditions of the chromatography, quantitative analysis of six components could be well separated, and had a good linearity and linear range, the precision, repeatability and stability were good. The method's efficacy in assessing the quality of P. cuspidatum powder and P. cuspidatum ointment is validated, and it can be employed for quality control purposes.

Prediction and analysis of Q-markers of Elephantopus scaber based on its UPLC fingerprint, content determination of components, and in vitro a nti-tumor activity

This study aimed to provide scientific evidence for predicting quality markers(Q-markers) of Elephantopus scaber by establishing UPLC fingerprint of E. scaber from different geographical origins and determining the content of 13 major components, as well as conducting in vitro anti-cancer activity investigation of the main components. The chromatographic column used was Waters CORTECS UPLC C_(18)(2.1 mm×150 mm, 1.6 μm), and the mobile phase consisted of acetonitrile and 0.1% formic acid solution(gradient elution). The column temperature was set at 30 ℃, and the flow rate was 0.2 mL·min~(-1). The injection volume was 1 μL, and the detection wavelength was 240 nm. The UPLC fingerprint of E. scaber was fitted using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 edition) to determine common peaks, evaluate similarity, identify and determine the content of major components. The CCK-8 assay was used to explore the inhibitory effect of the main components on the proliferation of lung cancer cells. The results showed that in the established UPLC fingerprint of E. scaber, 35 common peaks were identified. Thirteen major components, including neochlorogenic acid(peak 1), chlorogenic acid(peak 2), cryptochlorogenic acid(peak 3), caffeic acid(peak 4), schaftoside(peak 6), galuteolin(peak 9), isochlorogenic acid B(peak 10), isochlorogenic acid A(peak 12), isochlorogenic acid C(peak 18), deoxyelephantopin(peak 28), isodeoxyelephantopin(peak 29), isoscabertopin(peak 31), and scabertopin(peak 32) were identified and quantified, and a quantitative analysis method was established. The results of the in vitro anti-cancer activity study showed that deoxyelephantopin, isodeoxyelephantopin, isoscabertopin, and scabertopin in E. scaber exhibited inhibition rates of lung cancer cell proliferation exceeding 80% at a concentration of 10 μmol·L~(-1), higher than the positive drug paclitaxel. These results indicate that the fingerprint of E. scaber is highly characteristic, and the quantitative analysis method is accurate and stable, providing references for the research on quality standards of E. scaber. Four sesquiterpene lactones in E. scaber show significant anti-cancer activity and can serve as Q-markers for E. scaber.

Study on chemical constituents and fingerprints of Phellodendron amurense Rupr. based on ultra-performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry.

The chemical constituents from Phellodendron amurense Rupr. were characterized systematically by ultra-performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry method for collecting mass spectrometry data, and the fingerprints method was established, providing reference for its quality control. The chromatographic column was ACQUITY UPLC BEH-C18 (100mm×2.1mm, 1.7μm). The mobile phase was acetonitrile-0.1% formic acid aqueous solution and the compounds from P. amurense Rupr. were identified by Qualitative Analysis 10.0 software, reference substance, retention time, mass spectrometry fragmentation pattern and database retrieval. Meanwhile, liquid chromatography-mass spectrometry fingerprint methods of P. amurense Rupr. and Phellodendron chinense Schneid. were established by using the similarity evaluation system of chromatographic fingerprint of traditional Chinese medicine (2012 edition), and the differences were analyzed by multivariate statistical analysis methods. A total of 105 compounds were identified, including 102 alkaloids, two phenolic acids, and one lactone compound. Liquid chromatography-mass spectrometry fingerprint method was established with ideal precision, stability and repeatability, and 12 quality differential markers were recognized between the above two herbs. Liquid chromatography-mass spectrometry method can be used for qualitative analysis of the constituents of Phellodendron amurense Rupr., providing reference for clarifying the material basis and promoting the clinical precision medication and quality evaluation of P. amurense Rupr.

Effective components and mechanism of Qijiao Shengbai Capsules based on fingerprinting and network pharmacology

Qijiao Shengbai Capsules(QJ) can invigorate Qi and replenish the blood, which is commonly used clinically for adjuvant treatment of cancer and leukopenia due to chemoradiotherapy. However, the pharmacological mechanism of QJ is still unclear. This work aims to combine the high-performance liquid chromatography(HPLC) fingerprints and network pharmacology to clarify the effective components and mechanism of QJ. The HPLC fingerprints of 20 batches of QJ were established. The similarity evaluation among 20 batches of QJ was performed by using Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(version 2012), resulting in a similarity greater than 0.97. Eleven common peaks were identified by reference standard, including ferulic acid, calycosin 7-O-glucoside, ononin, calycosin, epimedin A, epimedin B, epimedin C, icariin, formononetin, baohuoside I, and Z-ligustilide. The &quot;component-target-pathway&quot; network was constructed by network pharmacy, and 10 key components in QJ were identified, such as ferulic acid, calycosin 7-O-glucoside, ononin, and calycosin. The components were involved in the phosphoinositide 3 kinase-protein kinase B(PI3K-Akt), mitogen-activated protein kinase(MAPK), and other signaling pathways by regulating potential targets, including EGFR, RAF1, PIK3R1, and RELA, to auxiliarily treat tumors, cancers, and leukopenia. The molecular docking conducted on the AutoDock Vina platform confirmed the high binding activity of 10 key effective components with core targets, with the binding energy less than-5 kcal·mol~(-1). In this study, the effective components and mechanism of QJ have been preliminary revealed based on HPLC fingerprint and network pharmacology, which provided a basis for quality control of QJ and a refe-rence for further study on its mechanism.

A multi-evaluating strategy for raw and processed Veratrum nigrum L.: Fingerprinting combined with quantitative analysis based on multivariate chemometric methods

Veratrum nigrum L. (VN) is a well-known herbal medicine and rich in chemical components with multiple pharmacological activities including antihypertensive, anticancer, and antifungal effects. In the current experiment, the quality of VN from different habitats was evaluated based on combinative method of fingerprint, multi-component quantification and chemical pattern recognition. Fifteen batches of VN were collected, and intrinsic chemical composition were identified using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry, which is a method for analyzing the similarity between samples, coupled with fingerprint of traditional Chinese medicine. The fingerprint similarity model show that 22 common peaks were selected covering 15 batches of and the similarity > 0.963. The total of 22 joint components were tentatively identified by comparison with standard substances or literature. A ultra-high performance liquid chromatography coupled with triple quadrupole mass spectrometry method for simultaneous determination of 8 compounds was established to evaluate the contents of raw and processed Veratrum nigrum L. Multivariate analysis was then applied to compare different batches of herbs based on ultra-high performance liquid chromatography coupled with triple quadrupole mass spectrometry data. All raw and processed samples were classified by partial least squares discriminant analysis based on the 8 analyzed compounds. The findings suggested that veratramine and polydatin with a variable importance for the project (VIP) > 1 were identified as significant constituents, the presence of which can be used to differentiate between raw and processed Veratrum nigrum L. samples. These results indicate that processing methods show important effects on the composition of Veratrum nigrum L..

Comprehensive quality evaluation of processed Scrophulariae Radix from different regions of China using HPLC coupled with chemometrics methods.

Scrophulariae Radix (SR) has been extensively used in traditional Chinese medicine (TCM) for thousands of years. However, the processing methods and production areas of Scrophularia ningpoensis have undergone notable historic changes. Thus, their effects on the bioactive constituents of SR still need to be studied further. This study aimed to establish an objective and comprehensive method to identify the correlation of bioactive constituents of SR with variety, place of origin and processing method for evaluating their qualities. An accurate and rapid high-performance liquid chromatography-diode array detector (HPLC-DAD) method for the simultaneous determination of 11 marker components (aucubin, harpagide, 6-O-methyl-catalpol, harpagoside, verbascoside, isoverbascoside, angoroside C, cinnamic acid, l-tyrosine, l-phenylalanine, and l-tryptophan) was established to evaluate the quality of SR for the first time. In addition, the effects of different production areas and processed methods on the target compounds were studied by analysing 66 batches of SR samples with chemometrics methods, including similarity evaluation of chromatographic fingerprints of TCM, principal component analysis (PCA), and partial least squares-discriminant analysis (PLS-DA). Compared with "sweating", short-term "steaming" and "slice-drying" could largely preserve the bioactive constituents of SR. When using the model established through PLS-DA, five components were identified as the most significant variables for discrimination. Furthermore, the score plots of PCA and the similarity evaluation revealed that variety had a more notable influence on the quality of SR than the place of origin. An objective approach of HPLC fingerprint coupled with chemometrics analysis and quantitative assessment could be applied to discriminate different processed SR and evaluate the qualities of SR rapidly.

Application of HPLC Fingerprint Combined with Chemical Pattern Recognition and Multi-Component Determination in Quality Evaluation of Echinacea purpurea (L.) Moench.

Echinacea purpurea (EP) is a common medicinal material for extracting anti-RSV components. However, up to now, there has been no effective and simple method to comprehensively reflect the quality of EP. In our current study, the quality of Echinacea purpurea (L.) Moench samples from six different cultivation locations in China was evaluated by establishing a high-performance liquid chromatography (HPLC) fingerprint, combining chemical pattern recognition and multi-component determination. In this study, the chemical fingerprints of 15 common peaks were obtained using the similarity evaluation system of the chromatographic fingerprints of traditional Chinese medicine (2012A Edition). Among the 15 components, three phenolic acids (caftaric acid, chlorogenic acid and cichoric acid) were identified and determined. The similarity of fingerprints of 16 batches of Echinacea purpurea (L.) Moench samples ranged from 0.905 to 0.998. The similarity between fingerprints of five batches of commercially available Echinacea pupurea (L.) Moench and the standard fingerprint ”R” ranged from 0.980 to 0.997, which proved the successful establishment of the fingerprint. PCA and HCA were performed with the relative peak areas of 15 common peaks (peak 3 as the reference peak) as variables. Anhui and Shaanxi can be successfully distinguished from the other four cultivation areas. In addition, the index components of caftaric acid, chlorogenic acid and cichoric acid were in the range of 1.77–8.60 mg/g, 0.02–0.20 mg/g and 2.27–15.87 mg/g. The results of multi-component index content determination show that the contents of the Shandong cultivation area were higher, followed by Gansu, Henan and Hebei, and the lowest were Anhui and Shaanxi. The results are consistent with PCA and HCA, which proved that the quality of Echinacea purpurea (L.) Moench from different origins was different. HPLC fingerprint combined with chemical pattern recognition and multi-component content determination was a reliable, comprehensive and prospective method for evaluating the quality of Echinacea purpurea (L.) Moench. This method provides a scientific basis for the quality control and evaluation of Echinacea purpurea (L.) Moench.

Quality evaluation of Ginseng Radix et Rhizoma based on UPLC characteristic chromatogram and quantitative analysis of multi-components by single marker (QAMS)

Based on UPLC characteristic chromatogram and quantitative analysis of multi-components by single marker(QAMS), the content of seven types of ginsenosides in Ginseng Radix et Rhizoma was simultaneously determined, and the quality of Ginseng Radix et Rhizoma was evaluated by the principal component analysis(PCA). The chromatographic separation was performed on the Acquity UPLC BEH C_(18) column(2.1 mm×100 mm, 1.7 μm) with the mobile phase of acetonitrile-water for gradient elution at the flow rate of 0.3 mL·min~(-1), the column temperature of 30 ℃, the detection wavelength of 203 nm, and the injection volume of 2 μL. The UPLC chromatogram was established with 19 batches of Ginseng Radix et Rhizoma samples from three producing areas by Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(version 2012). Thirteen characteristic peaks were determined and seven components were identified. SPSS 26.0 was used to conduct PCA on the characteristic peak areas. With the peak of ginsenoside Rb_1 as reference peak S, ginsenoside Rb_1 showed good durability of relative correction factor as compared with other ginsenosides. The QAMS method for the determination of seven ginsenosides in Ginseng Radix et Rhizoma was established. There was no significant difference in results between the QAMS method and the external standard method. As revealed by the results of PCA and the determination of the total content of seven ginsenosides, the four batches of Ginseng Radix et Rhizoma numbered S19, S18, S1, and S2 were of superior quality. The characteristic chromatogram and QAMS method for the determination of seven ginsenosides in this study were convenient and accurate, which greatly shortened the analysis time and improved the analysis efficiency. The findings of this study are expected to provide a basis for the overall quality evaluation of Ginseng Radix et Rhizoma.

Study on the Spectrum-Effect Correlation of Anti-Inflammatory Active Extract of Sauropus spatulifolius Beille.

Sauropus spatulifolius Beille (S. spatulifolius) is a commonly used medicine of the Bourau and Yao nationalities. However, the composition of S. spatulifolius is complex, and simple chemical fingerprints cannot accurately evaluate the relationship between its composition and efficacy. In this study, high-performance liquid chromatography (HPLC) method was used to establish the fingerprint of the ethyl acetate extract of S. spatulifolius. Based on the evaluation of the similarity of chromatographic fingerprints of traditional Chinese medicine, combined with cluster analysis and principal component analysis (PCA), the common peaks of fingerprints were evaluated. The anti-inflammatory effect data were extracted through the dimethylbenzene-induced ear-swelling model in mice. The gray relational analysis (GRA) combined with partial least squares regression (PLSR) was used to study the spectrum-effect correlation of S. spatulifolius. As a result, the HPLC fingerprint of the ethyl acetate extract of S. spatulifolius was established, and 18 common peaks were identified. Except for S6, the other similarities are all above 0.915. The reference substance control method was used to identify two absorption peaks, namely, protocatechuic acid and caffeic acid. The cluster analysis results showed that 10 samples from different origins were grouped into four categories, which was consistent with the PCA results. Ethyl acetate extract of 10 batches of S. spatulifolius could significantly inhibit the ear swelling of mice (P < 0.01). Through GRA, the order of the contribution of each chemical component to the anti-inflammatory efficacy was obtained. The results of PLSR showed that the VIP values of peaks 3, 4, and 12 were greater than 1 and were positively correlated with anti-inflammatory activity. In this study, the HPLC fingerprint of the ethyl acetate extract of S. spatulifolius was established. Through the study of the spectrum-effect correlation, the anti-inflammatory active substance of the ethyl acetate extract of S. spatulifolius was obtained. The anti-inflammatory effect of S. spatulifolius was the result of the joint action of multiple ingredients. This research helps to quickly and accurately discover the active ingredient groups of traditional Chinese medicine and provides new ideas and methods for studying the effective substances of traditional Chinese medicine.

Difference analysis of different parts of chicory based on HPLC fingerprint and multi-component content determination

ObjectiveTo establish HPLC fingerprints of different parts of chicory stems, leaves, roots, flowers and seeds, and compare the similarities and differences of chemical components in different parts, so as to provide a scientific basis for the comprehensive utilization of chicory. MethodsTo establish the HPLC fingerprint of chicory, the chromatographic column was chosen with Agilent ZORBAX Eclipse XDB-C18, the mobile phase was methanol (A) – 0.2% formic acid (B), the flow rate was 1 mL/min, the column temperature was 30 °C, and the detection wavelength was 254 nm. The Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine (2012 Edition) was used to evaluate the similarity of different parts of decoction pieces, and the determination method of multi-component content was established based on fingerprint identification chromatographic peaks, and the determination results were analyzed. ResultsThe HPLC fingerprinting method of chicory was established. Sixteen chromatographic peaks were identified and 10 of them were identified as: caftaric acid (1), esculin (2), chlorogenic acid (3), esculetin (4), caffeic acid (5), cichoric acid (8), hyperoside (11), rutin (12), isochlorogenic acid C (14) and luteolin (16). The similarity of different parts was 0.084–0.701. At the same time, the total content of detected chemical components was ranked as flower > leaf > stem > root > seed. Roots did not contain caftaric acid, rutin, and luteolin, flowers did not contain luteolin, and seeds did not contain caftaric acid, cichoric acid, and luteolin. The content of cichoric acid in leaves was the most, and esculin in flowers was the most. ConclusionThe results of HPLC fingerprint and multi-component content determination revealed the similarity and difference of different parts of chicory from chemical composition, indicating that there were certain differences in different parts of chicory. The established HPLC fingerprinting method can provide a reference for quality control and evaluation of different parts of the chicory.

Progress and prospect of application of traditional Chinese medicine fingerprint (specific chromatogram) in Chinese Pharmacopoeia (2010-2020)

The Chinese Pharmacopoeia began to apply fingerprints (specific chromatogram) to quality control of traditional Chinese medicine in its 2010 edition, and in its 2015 and 2020 editions, new fingerprints (specific chromatogram) were added for improvement of the Pharmacopoeia-based national standards for drugs. This review analyzes the traditional Chinese medicine fingerprints (specific chromatogram) in Chinese Pharmacopoeia (2010-2020) in terms of the number of varieties listed, application of fingerprints (specific chromatogram), selection of evaluation method, determination method, the selection of extraction or preparation solvents of the test samples. With the expansion of the application of fingerprints (specific chromatogram), the evaluation indicators are constantly improving. The future development of the fingerprints (specific chromatogram) is also discussed in light of the selection of appropriate extraction or preparation solvents to obtain effective substances, which is the basis for the establishment of the fingerprints; multiple fingerprints for one drug based on different functional indications or basic sources, which expands the application of the fingerprints; addition of technical guidelines for traditional Chinese medicine fingerprints to standardize the use of the fingerprints; and the regular revision, update and application expansion of the fingerprints to ensure its essential role in quality control of traditional Chinese medicine.

UPLC fingerprint and determination of five components of substance benchmark of classical prescription Shentong Zhuyu Decoction

Fingerprints of 18 batches of substance benchmark of Shentong Zhuyu Decoction(SZD) were established by UPLC under the following conditions: Waters Sun Fire C_(18) column(3.0 mm×150 mm, 3.5 μm), column temperature of 35 ℃, gradient elution with mobile phase of acetonitrile(A)-0.1% phosphoric acid aqueous solution(B) at the flow rate of 0.4 mL·min~(-1), and detection by wavelength switching. A total of 16 common peaks were identified. The similarities among the fingerprints were calculated by Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 Edition) and the result showed they were in the range of 0.911-0.988. Based on the 16 common peaks, cluster analysis(CA), principal component analysis(PCA), and partial least square discriminant analysis(PLS-DA) all categorized the 18 batches of samples into two groups(S1, S2, S5-S8, S14, and S17 in one group, and S1, S2, S5-S8, S14, and S17 in another), and 11 most influential components were screened. Five known components with great difference among samples(hydroxysafflor yellow A, ferulic acid, benzoic acid, ecdysone, and ammonium glycyrrhizinate) were determined. The combination of multi-component content determination and fingerprints can reflect the overall cha-racteristics of the primary standards of SZD, which is simple, feasible, reproducible, and stable. This study can serve as a reference for the quality control of the primary standards of SZD.

HPLC fingerprint of Tibetan medicinal plant ″Bangga″ and chemical components analysis of its two original plants by LC-MS/MS

To obtain the chemical profile of Tibetan medicinal plant ″Bangga″, the present study established the HPLC fingerprint of ″Bangga″ and inferred common chemical constituents of its two original plants, Aconitum tanguticum and A. naviculare by LC-MS. The HPLC analysis was performed on a Kromasil 100 C_8 column(4.6 mm×250 mm, 5 μm) with acetonitrile(A)-0.1% formic acid in water(B) as mobile phase in a gradient elution mode. Besides, the flow rate was set at 1 mL·min~(-1) and the column temperature was 35 ℃. The detection wavelength was set at 255 nm and the injection volume was 10 μL. Seventeen batches of ″Bangga″ samples were analyzed and the HPLC fingerprint was established under the above conditions. Similarity evaluation was performed using Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012). As a result, 16 common peaks were selec-ted and the similarity values of 17 batches of ″Bangga″ were in the range of 0.702-0.966. Furthermore, one batch of A. tanguticum and one batch of A. naviculare were analyzed by LC-MS/MS and 74 common compounds were inferred, including 10 phenolic acids, 26 flavonoids, and 38 alkaloids. The established method, with good separation and strong specificity, is simple and feasible, and can be used for the quality control of ″Bangga″ and identification of its two original plants. A. tanguticum and A. naviculare are similar in chemical composition and component content, but are quite different in the content of flavonoids.

Comparison between peel and pulp of Aurantii Fructus Immaturus by UPLC fingerprint and multicomponent quantitative analysis

Twenty batches of Aurantii Fructus Immaturus(AFI) were collected, with their peel and pulp taken as research objects. Ultra-high performance liquid chromatography(UPLC) fingerprints of peel and pulp of AFI were established with 17 common peaks in peel and 10 in pulp. Six kinds of flavonoids were identified, i.e., narirutin, naringin, rhoifolin, hesperidin, neohesperidin and nobiletin. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine was employed for similarity analysis, which showed that the chromatographic peaks of peel and pulp were basically similar to their respective reference fingerprints, with all similarities greater than 0.90. The similarity between peel and pulp of the same batch of AFI ranged from 0.850 to 0.983. Cluster analysis(CA), principal component analysis(PCA), and orthogonal partial least squares discriminant analysis(OPLS-DA) were conducted on the common peaks of peel and pulp of AFI with SPSS 17.0 and SIMCA 14.1. Combined with the reference fingerprints, these analyses revealed 12 differential components regarding peel and pulp. Further, the content of the 6 flavonoids and synephrine was determined. The proposed method integrating UPLC fingerprint and multicomponent quantitative analysis is applicable to the quality evaluation of AFI. The results provide a certain basis for the scientific connotation about the appearance characteristic of AFI.

Comprehensive analysis of components in Chinese medicines derived from Apocynum venetum and Poacynum pictum in Xinjiang based on HPLC fingerprint and chemometrics

This study established high-performance liquid chromatography(HPLC) fingerprints of Chinese medicines derived from Apocynum venetum and Poacynum pictum in Xinjiang and explored their composition differences with the combination of content determination, similarity analysis, cluster analysis and principal component analysis. The HPLC conditions included Phenomenex Kinetex C_(18) column(4.6 mm ×100 mm, 2.6 μm), acetonitrile-0.01% trifluoroacetic acid aqueous solution as mobile phase, gradient elution, flow rate of 0.6 mL·min~(-1), detection wavelength of 281 nm and column temperature of 25 ℃. The content of chlorogenic acid, quercetin-3-O-sophoroside, rutin, hyperin, isoquercitrin, trifolin and astragalin was determined in 31 batches of medicinal materials, and fingerprint research and chemometric analysis were performed with Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(Version 2004 A) and SPSS 21.0. In the Chinese Pharmacopoeia 2020, the quality of Apocyni Veneti Folium is controlled by character identification, microscopic identification, thin layer chromatography identification and quantitative determination of hyperin. There were 21 common peaks of A. venetum and P. pictum in the HPLC fingerprints, 5 of which were identified as chlorogenic acid, hyperin, isoquercitrin, trifolin and astragalin, with their content also determined. Except for 3 batches of medicinal materials, the similarity of other 28 batches was higher than 0.83, indicating good similarity. Two categories were formed in the cluster analysis based on content determination, which showed that some differences existed in similarities between different regions of Xinjiang. The medicinal materials were ranked by quality with principal component analysis, and the results indicated that the top 15 all came from northern Xinjiang. The quality difference of A. venetum and P. pictum had a correlation with the place of origin. This study provides a reference for the analysis and evaluation of A. venetum and P. pictum from different habitats and the selection of introduction and cultivation areas.

PMP-HPLC Fingerprint of Partial Acid Hydrolysate of Lycium Barbarum Polysaccharides Based on the Chemometric Methods

In this paper, the fingerprints of partial acid hydrolysates of Lycium barbarum polysaccharides (LBPs) were constructed, combined with a variety of chemometric methods, to evaluate the differences of LBPs from different origins and identify the authenticity of commercial samples. Sixteen batches of Lycium barbarum polysaccharides (LBPs) from different areas were obtained by the method of water extraction and alcohol precipitation, which were partially hydrolyzed by trifluoroacetic acid. The PMP pre-column derivatization-HPLC method was applied to analyse the monosaccharides and oligosaccharides in the partial hydrolysates of LBPs. The similarity of samples of different origins was calculated by the “similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(TCM)”software. And the fingerprints were further evaluated by chemometric methods including cluster analysis (HCA), principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). The results showed that the partial acid hydrolysis products of LBPs contained seven monosaccharides, galacturonic acid glycans of DP 2-4 and three kinds of disaccharides. The similarities of 16 batches of LBPs of different origins were high ranging from 0.911 to 0.997. HCA, PCA and PLS-DA all divided LBPs from different origins into three categories, and the classification results had certain correlation with the origins. The three iconic components that influenced the differences between origins were screened out by PLS-DA, which were glucose (Glc), arabinose (Ara) and galactose (Gal), respectively. The established fingerprint in this paper could be used for the quality control of LBPs.

Detection and prediction of active ingredients in fingerprints of traditional Chinese medicine from a high‐dimensional perspective

AbstractHigh‐dimensional problems exist in various fields of medicine. Data analysis of medical data from a high‐dimensional perspective brings new challenges for researchers. This paper intends to analyze the fingerprints of Shanxiangyuan to detect its antioxidant active ingredients and establish a predictive model from performance indicators to its antioxidant. A data fusion method based on the Maximum Entropy model is proposed, which solves the problem that the results are not stable at multiple wavelengths. And a model averaging strategy under the two structures of nested structure and sequential structure is utilized with considering the mallows criterion, the Jackknife criterion, and the Akaike information, which not only has a good effect on the simulation data but can also reduce the prediction error of Shanxiangyuan's antioxidant value. Furthermore, this paper gives a strong correlation index of the antioxidant capacity of Shanxiangyuan according to the model averaging method.