Ultra-high-performance liquid chromatography-quadrupole-time of flight-mass spectrometry combined with network pharmacology for analysis of potential quality markers of three processed products of Qingpi.

Qingpi, a well-known traditional Chinese medicine for qi-regulating and commonly processed into three types of pieces, has been widely used in the clinical application of liver disease for thousands of years. In this study, an ultra-high-performance liquid chromatography-quadrupole-time of flight-mass spectrometry approach along with multivariate statistical analysis was developed to assess and characterize the differentiations of three processed products and confirm the potential quality markers of Qingpi. In addition, a systematic analysis combined with network pharmacology and molecular docking was performed to clarify the potential mechanism of Qingpi for the treatment of liver disease. As a result, 18 components were identified and an integrated network of Qingpi-Components-Target-Pathway-Liver Disease was constructed. Eight compounds were finally screened out as the potential quality markers acting on ten main targets and pathways of liver disease. Molecular docking analysis results indicated that the quality markers had a good binding activity with the targets. Overall, this work preliminarily identified the potential quality markers of three processed products of Qingpi, and predicted its targets in the prevention and treatment of liver disease, which can provide supporting information for further study of the pharmacodynamic substances and mechanisms of Qingpi.

Discrimination between raw and ginger juice processed Fructus Gardeniae based on UHPLC-Q-TOF-MS and Heracles NEO ultra-fast gas phase electronic nose.

INTRODUCTION: Fructus Gardeniae (ZZ), a traditional Chinese herb, has been used in treating patients with jaundice, inflammation, etc. When mixed with ginger juice and stir-baked, ginger juice-processed Fructus Gardeniae (JZZ) is produced, and the chemical compositions in ZZ would be changed by adding the ginger juice. OBJECTIVE: To illuminate the differential components between ZZ and JZZ. METHODS: HPLC, UHPLC-Q-TOF-MS, and Heracles NEO ultra-fast gas phase electronic nose were applied to identify the differential components between ZZ and JZZ. RESULTS: HPLC fingerprints of ZZ and JZZ were established, and 24 common peaks were found. The content determination results showed that the contents of shanzhiside, geniposidic acid, genipin-1-ß-D-gentiobioside and geniposide increased, while the contents of crocin I and crocin II decreased in JZZ. By UHPLC-Q-TOF-MS, twenty-six possible common components were inferred, among which 11 components were different. In further investigation, eight components were identified as the possible distinctive non-volatile compounds between ZZ and JZZ. By Heracles NEO ultra-fast gas phase electronic nose, four substances were inferred as the possible distinctive volatile compounds in JZZ. CONCLUSION: Shanzhiside, caffeic acid, genipin-1-ß-D-gentiobioside, geniposide, rutin, crocin I, crocin II, and 4-Sinapoyl-5-caffeoylquinic acid were identified as the possible differential non-volatile components between ZZ and JZZ. Aniline, 3-methyl-3-sulfanylbutanol-1-ol, E-3-octen-2-one, and decyl propaonate were inferred as the possible distinctive volatile compounds in JZZ. This experiment explored a simple approach with objective and stable results, which would provide new ideas for studying decoction pieces with similar morphological appearance, especially those with different odors.

Research on quality marker based on the processing from Aconiti lateralis radix praeparata to Heishunpian.

INTRODUCTION: Aconiti lateralis radix praeparata (ALRP), the sub root of Aconitum carmichaelii Debx., is a traditional Chinese medicine with good pharmacological effects. Heishunpian (HSP), prepared through the process of brine immersing, boiling, rinsing, dyeing, and steaming ALRP is one of the most widely used forms of decoction pieces in clinical practice. OBJECTIVES: This study aims to investigate the mechanisms of component changes and transformations during the processing from ALRP to HSP, and to screen for their quality markers through UHPLC-QTOF-MS analysis. METHODS: Samples from ALRP to HSP during processing were prepared and analyzed by UHPLC-QTOF-MS. By comparing the differences between before and after each processing step, the purpose of processing and the transformation of components during processing were studied. In addition, multiple batches of ALRP and HSP were determined, and potential quality markers were screened. RESULTS: Through the analysis of ALRP and five key processing samples, 55 components were identified. Immersing in brine, rinsing, and dyeing were the main factors of component loss, and boiling caused a slight loss of components. Some components were enhanced during the steaming process. Combining the screened differences components between multiple ALRP and HSP, 10 components were considered as potential quality biomarkers. CONCLUSION: This study found that the adjacent hydroxyl groups of the ester group may have a positive impact on the hydrolysis of the ester group, and 10 quality markers were preliminarily screened. It provides a reference for quality control and clinical application of ALRP and HSP.

[Charcoal-frying process and quality markers of Sanguisorbae Radix based on hemostatic effect].

Studies have reported that the hemostatic effect of Sanguisorbae Radix(SR) is significantly enhanced after processing with charcoal. However, the standard components(tannins and gallic acid) specified in the Chinese Pharmacopeia decrease in charcoal-fried Sanguisorbae Radix(CSR), which is contrast to the enhancement of the hemostatic effect. Therefore, this study aimed to optimize the charcoal-frying process of SR based on its hemostatic efficacy and comprehensively analyze the components of SR and its processed products, thus exploring the material basis for the hemostatic effect. The results indicated that SR processed at 250 ℃ for 14 min(14-min CSR) not only complied with the description in the Chinese Pharmacopeia but also demonstrated improved blood-coagulating and blood-adsorbing effects compared with raw SR(P<0.05). Moroever, 14-min CSR reduced the bleeding time in the rat models of tail snipping, liver bleeding, and muscle injury, surpassing both raw and excessively fried SR(16 min processed) as well as tranexamic acid(P<0.05). Ellagitannin, ellagic acid, methyl gallate, pyrogallic acid, protocatechuic acid, Mg, Ca, Mn, Cu, and Zn contributed to the hemostatic effect of CSR over SR. Among these substances, ellagitannin, ellagic acid, Mg, and Ca had high content in the 14 min CSR, reaching(106.73±14.87),(34.86±4.43),(2.81±0.23), and(1.21±0.23) mg·g~(-1), respectively. Additionally, the color difference value(ΔE~*ab) of SR processed to different extents was correlated with the content of the aforementioned hemostatic substances. In summary, this study optimized the charcoal-frying process as 250 ℃ for 14 min for SR based on its hemostatic effect. Furthermore, ellagic acid and/or the powder chromaticity are proposed as indicators for the processing and quality control of CSR.

Rapid evaluation of Radix Paeoniae Alba and its processed products by near-infrared spectroscopy combined with multivariate algorithms.

It is well known that the processing method of herbal medicine has a complex impact on the active components and clinical efficacy, which is difficult to measure. As a representative herb medicine with diverse processing methods, Radix Paeoniae Alba (RPA) and its processed products differ greatly in clinical efficacy. However, in some cases, different processed products are confused for use in clinical practice. Therefore, it is necessary to strictly control the quality of RPA and its processed products. Giving that the time-consuming and laborious operation of traditional quality control methods, a comprehensive strategy of near-infrared (NIR) spectroscopy combined with multivariate algorithms was proposed. This strategy has the advantages of being rapid and non-destructive, not only qualitatively distinguishing RPA and various processed products but also enabling quantitative prediction of five bioactive components. Qualitatively, the subspace clustering algorithm successfully differentiated RPA and three processed products, with an accuracy rate of 97.1%; quantitatively, interval combination optimization (ICO), competitive adaptive reweighted sampling (CARS), and competitive adaptive reweighted sampling combined with successive projections algorithm (CARS-SPA) were used to optimize the PLS model, and satisfactory results were obtained in terms of wavelength selection. In conclusion, it is feasible to use NIR spectroscopy to rapidly evaluate the effect of processing methods on the quality of RPA, which provides a meaningful reference for quality control of other herbal medicines with numerous processing methods.

Study on the quality difference of Cyperus rotundus before and after vinegar processing based on ultra-high-performance liquid chromatography-quadrupole-time of flight-mass spectrometry and molecular network combined with color parameters.

Cyperus rotundus is the dry rhizome of the Cyperaceae plant Cyperus. Although there are two types of processed products in clinics, their quality differences are not clear, and the identification methods are more complex. In this study, the chemical composition of different processed products of Cyperus rotundus was characterized using ultra-high-performance liquid chromatography-quadrupole-time of flight-mass spectrometry and molecular network analysis, to identify the potential chemical markers and to establish a quick and simple color-based discrimination method. Among the 65 compounds analyzed, 12 showed significant differences. Observing the color, the surface brightness (L*) of Cyperus rotundus decreased after vinegar processing, while red (a*) and yellow (b*) values increased. These color values correlated significantly with chemical compositions. Finally, a color discriminant function was established and verified for raw Cyperus rotundus and vinegar-processing Cyperus rotundus. Based on this study, Cyperus rotundus' quality can be effectively controlled and provides a method for the comprehensive characterization of chemical components and chemical markers of other traditional Chinese medicine and processed products, as well as new ideas and methods in identification and quality evaluation.

The potential mechanism of Choulingdan mixture in improving acute lung injury based on HPLC-Q-TOF-MS, network pharmacology and in vivo experiments.

Choulingdan mixture (CLDM) is an empirical clinical prescription for the adjuvant treatment of acute lung injury (ALI). CLDM has been used for almost 30 years in the clinic. However, its mechanism for improving ALI still needs to be investigated. In this study, high-performance liquid chromatography-quadrupole/time-of-flight mass spectrometry (HPLC-Q-TOF-MS/MS) was applied to characterize the overall chemical composition of CLDM. A total of 93 ingredients were characterized, including 25 flavonoids, 20 organic acids, 11 saponins, nine terpenoids, seven tannins and 21 other compounds. Then network pharmacology was applied to predict the potential bioactive components, target genes and signaling pathways of CLDM in improving ALI. Additionally, molecular docking was performed to demonstrate the interaction between the active ingredients and the disease targets. Finally, animal experiments further confirmed that CLDM significantly inhibits pulmonary inflammation, pulmonary edema and oxidative stress in lipopolysaccharide-induced ALI mice by inhibiting the PI3K-AKT signaling pathway. This study enhanced the amount and accuracy of compounds of CLDM and provided new insights into CLDM preventing and treating ALI.

[Processing Magnoliae Officinalis Cortex with ginger juice: process optimization based on AHP-CRITIC weighting method and composition changes after processing].

The weight coefficients of appearance traits, extract yield of standard decoction, and total content of honokiol and magnolol were determined by analytic hierarchy process(AHP), criteria importance though intercrieria correlation(CRITIC), and AHP-CRITIC weighting method, and the comprehensive scores were calculated. The effects of ginger juice dosage, moistening time, proces-sing temperature, and processing time on the quality of Magnoliae Officinalis Cortex(MOC) were investigated, and Box-Behnken design was employed to optimize the process parameters. To reveal the processing mechanism, MOC, ginger juice-processed Magnoliae Officinalis Cortex(GMOC), and water-processed Magnoliae Officinalis Cortex(WMOC) were compared. The results showed that the weight coefficients of the appearance traits, extract yield of standard decoction, and total content of honokiol and magnolol determined by AHP-CRITIC weighting method were 0.134, 0.287, and 0.579, respectively. The optimal processing parameters of GMOC were ginger juice dosage of 8%, moistening time of 120 min, and processing at 100 ℃ for 7 min. The content of syringoside and magnolflorine in MOC decreased after processing, and the content of honokiol and magnolol followed the trend of GMOC>MOC>WMOC, which suggested that the change in clinical efficacy of MOC after processing was associated with the changes of chemical composition. The optimized processing technology is stable and feasible and provides references for the modern production and processing of MOC.

[Identification of chemical components and network pharmacology of Huanglian Decoction based on UPLC-Q-TOF-MS/MS technology].

The chemical components of Huanglian Decoction were identified by ultra-performance liquid chromatography-quadrupole-time-of-flight-tandem mass spectrometry(UPLC-Q-TOF-MS/MS) technology. The gradient elution was conducted in Agilent ZORBAX Extend-C_(18) column(2.1 mm×100 mm, 1.8 µm) with the mobile phase of 0.1% formic acid aqueous solution(A)-acetonitrile(B) at a flow rate of 0.3 mL·min~(-1) and the column temperature of 35 ℃. The MS adopted the positive and negative ion mode of electrospray ionization(ESI), and the MS data were collected under the scanning range of m/z 100-1 500. Through high-resolution MS data analysis, combined with literature comparison and confirmation of reference substances, this paper identified 134 chemical components in Huanglian Decoction, including 12 alkaloids, 23 flavonoids, 22 terpenes and saponins, 12 phenols, 7 coumarins, 12 amino acids, 23 organic acids, and 23 other compounds, and the medicinal sources of the compounds were ascribed. Based on the previous studies, 7 components were selected as the index components. Combined with the network pharmacology research and analysis me-thods, the protein and protein interaction(PPI) network information of the intersection targets was obtained through the STRING 11.0 database, and 20 core targets of efficacy were screened out. In this study, UPLC-Q-TOF-MS/MS technology was successfully used to comprehensively analyze and identify the chemical components of Huanglian Decoction, and the core targets of its efficacy were discussed in combination with network pharmacology, which laid the foundation for clarifying the material basis and quality control of Huanglian Decoction.

[Rapid identification and differential markers of Curcumae Radix decoction pieces of different sources based on Heracles Neo ultra-fast gas phase electronic nose].

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 ß-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.

[Discrimination of different processing degrees and quantitative study of processing end point of vinegar-processing Cyperi Rhizoma pieces based on electronic sensory technology].

In this study, CM-5 spectrophotometer and Heracles NEO ultra-fast gas-phase electronic nose were used to analyze the changes in color and odor of vinegar-processed Cyperi Rhizoma(VPCR) pieces. Various analysis methods such as DFA and partial least squares discriminant analysis(PLS-DA) were combined to identify different processing degrees and quantify the end point of processing. The results showed that with the increase in vinegar processing, the brightness parameter L~* of VPCR pieces decreased gradua-lly, while the red-green value a~* and yellow-blue value b~* initially increased and reached their maximum at 8 min of processing, followed by a gradual decrease. A discriminant model based on the color parameters L~*, a~*, and b~* was established(with a discrimination accuracy of 98.5%), which effectively differentiated different degrees of VPCR pieces. Using the electronic nose, 26 odor components were identified from VPCR samples at different degrees of vinegar processing. DFA and PLS-DA models were established for different degrees of VPCR pieces. The results showed that the 8-min processed samples were significantly distinct from other samples. Based on variable importance in projection(VIP) value greater than 1, 10 odor components, including 3-methylfuran, 2-methylbuty-raldehyde, 2-methylpropionic acid, furfural, and α-pinene, were selected as odor markers for differentiating the degrees of vinegar processing in VPCR. By combining the changes in color and the characteristic odor components, the optimal processing time for VPCR was determined to be 8 min. This study provided a scientific basis for the standardization of vinegar processing techniques for VPCR and the improvement of its quality standards and also offered new methods and ideas for the rapid identification and quality control of the end point of processing for other traditional Chinese medicine.

Based on UPLC/MS/MS and Bioinformatics Analysis to Explore the Difference Substances and Mechanism of Curcumae Radix (Curcuma wenyujin) in Dysmenorrhea.

BACKGROUND: Curcumae Radix (CW) is traditionally used to treat dysmenorrhea caused by uterine spasm. However, the changes of its composition and anti-uterine spasms during vinegar processing and the mechanism in treating dysmenorrhea are not clear. OBJECTIVE: To elucidate the changes of anti-uterine spasm and its substance basis, and the mechanism of treating dysmenorrhea before and after vinegar processing. METHODS: The uterine spasm contraction model was established, and the uterine activity and its inhibition rate were calculated to evaluate the differences. The main chemical constituents of CW were quickly analyzed by UPLC-Q-TOF-MS/MS technology, and the differences between them were explored by multivariate statistical analysis. Then, the regulatory network of "active ingredients-core targets-signal pathways" related to dysmenorrhea was constructed by using network pharmacology, and the combination between differential active components and targets was verified by molecular docking. RESULTS: CW extract relaxed the isolated uterine by reducing the contractile tension, amplitude, and frequency. Compared with CW, the inhibitory effect of vinegar products was stronger, and the inhibition rate was 70.08 %. 39 compounds were identified from CW and 13 differential components were screened out (p<0.05). Network pharmacology screened 11 active components and 32 potential targets, involving 10 key pathways related to dysmenorrhea. The results of molecular docking showed that these differentially active components had good binding activity to target. CONCLUSION: It was preliminarily revealed that CW could treat dysmenorrhea mainly through the regulation of inflammatory reaction, relaxing smooth muscle and endocrine by curcumenone, 13-hydroxygermacrone, (+)-cuparene, caryophyllene oxide, zederone, and isocurcumenol.

[Quality evaluation of Curcumae Radix from different origins based on UPLC characteristic chromatogram, multicomponent content, and chemometrics].

In this study, UPLC was used to establish the characteristic chromatograms of Curcumae Radix from different origins(LSYJ, WYJ, HSYJ, and GYJ) and the content determination method of 11 chemical components. The evaluation of characteristic chromatogram similarity, cluster analysis(CA), principal component analysis(PCA), and orthogonal partial least square discriminant analysis(OPLS-DA) were combined to evaluate the quality of Curcumae Radix from four origins. LSYJ, WYJ, HSYJ, and GYJ showed 15, 17, 15, and 10 characteristic peaks, respectively, and 8 of the peaks were identified. The characteristic chromatograms of Curcumae Radix samples(except for GYJ07) from the same origin showed the similarity greater than 0.854. The 11 chemical components had different content among the samples from four origins. Curcumenol, furanodienone, and isocurcumenol were rich in LSYJ; hydroxyisogermafurenolide, curdione, and furanodiene had high content in WYJ; gemacrone, ß-elemene, bisdemethoxycurcumin, demethoxycurcumin, and curcumin were rich in HSYJ; all the components had low content in GYJ. The chemometric analysis showed that CA, PCA, and OPLS-DA could accurately classify the four origins of Curcumae Radix into four categories, and five different quality markers, namely furanodienone, curcumenol, curdione, hydroxyisogermafurenolide, and furanodiene, were screened out by OPLS-DA. UPLC in combination with multicomponent content determination is simple, rapid, reproducible, and specific, which can provide reference for the quality control and identification of Curcumae Radix from four origins.

[Efficacy-related substances of blood-activating and stasis-resolving medicinals derived from Curcuma plants: a review].

Derived from Curcuma plants, Curcumae Longae Rhizoma, Curcumae Rhizoma, Wenyujin Rhizoma Concisum, and Curcumae Radix are common blood-activating and stasis-resolving medicinals in clinical practice, which are mainly used to treat amenorrhea, dysmenorrhea, chest impediment and heart pain, and rheumatic arthralgia caused by blood stasis block. According to modern research, the typical components in medicinals derived from Curcuma plants, like curcumin, demethoxycurcumin, bisdemethoxycurcumin, curdione, germacrone, curcumol, and ß-elemene, have the activities of hemorheology improvement, anti-platelet aggregation, anti-thrombosis, anti-inflammation, anti-tumor, and anti-fibrosis, thereby activating blood and resolving stasis. However, due to the difference in origin, medicinal part, processing, and other aspects, the efficacy and clinical application are different. The efficacy-related substances behind the difference have not yet been systematically studied. Thus, focusing on the efficacy-related substances, this study reviewed the background, efficacy and clinical application, efficacy-related substances, and "prediction-identification-verification" research method of blood-activating and stasis-resolving medicinals derived from Curcuma plants, which is expected to lay a theoretical basis for the future research on the "similarities and differences" of such medicinals based on integrated evidence chain and to guide the scientific and rational application of them in clinical practice.

[Rapid identification of raw and sulfur-fumigated Paeoniae Radix Alba based on Heracles NEO ultra-fast gas phase electronic nose].

Since the current identification method for Paeoniae Radix Alba is complex in operation and long time-consuming with high requirements for technicians, the present study employed Heracles NEO ultra-fast gas phase electronic nose(E-nose) technology to identify raw and sulfur-fumigated Paeoniae Radix Alba decoction pieces in order to establish a rapid identification method for sulfur-fumigated Paeoniae Radix Alba. The odors of raw Paeoniae Radix Alba and its sulfur-fumigated products were analyzed by Heracles NEO ultra-fast gas phase E-nose to obtain the odor chromatographic information. The chemometric model was established, and the data were processed by principal component analysis(PCA), discriminant function analysis(DFA), soft independent modeling of class analogy(SIMCA), and partial least squares discriminant analysis(PLS-DA). The differential compounds of raw and sulfur-fumigated samples were qualitatively analyzed based on the Kovats retention index and Arochembase. As revealed by the comparison of gas chromatograms of raw and sulfur-fumigated Paeoniae Radix Alba, the heights of several peaks in the chromatograms before and after sulfur fumigation changed significantly. The peak(No.8) produced by ethylbenzene disappeared completely due to sulfonation reaction in the process of sulfur fumigation, indicating that ethylbenzene may be the key component in the identification of Paeoniae Radix Alba and its sulfur-fumigated products. In PCA, DFA, SIMCA, and PLS-DA models, the two types of samples were separated into two different regions, indicating that the established models can clearly distinguish between raw and sulfur-fumigated Paeoniae Radix Alba. The results showed that Heracles NEO ultra-fast gas phase E-nose technology could realize the rapid identification of raw and sulfur-fumigated Paeoniae Radix Alba, which provides a new method and idea for the rapid identification of sulfur-fumigated Chinese medicine.

[Characteristic chromatogram and index components content of substance benchmark of Xuanfu Daizhe Decoction].

The methods for determining the characteristic chromatogram and index components content of Xuanfu Daizhe Decoction were established to provide a scientific basis for the quality evaluation of substance benchmarks and preparations. Eighteen batches of Xuanfu Daizhe Decoction were prepared with the decoction pieces of different batches and of the same batch were prepared respectively, and the HPLC characteristic chromatograms of these samples were established. The similarities of the chromatographic fingerprints were analyzed. With liquiritin, glycyrrhizic acid, 6-gingerol, ginsenoside Rg_1, and ginsenoside Re as index components, the high performance liquid chromatography was established for content determination with no more than 70%-130% of the mass average as the limit. The results showed that there were 19 characteristic peaks corresponding to the characteristic chromatograms of 18 batches of Xuanfu Daizhe Decoction, including 8 peaks representing liquiritin, 1,5-O-dicaffeoylqunic acid, ginsenoside Rg_1, ginsenoside Re, 1-O-acetyl britannilactone, ginsenoside Rb_1, glycyrrhizic acid, and 6-gingerol, and the fingerprint similarity was greater than 0.97. The contents of liquiritin, glycyrrhizic acid, 6-gingerol, and ginsenosides Rg_1 + Re in the prepared Xuanfu Daizhe Decoction samples were 0.53%-0.86%, 0.61%-1.2%, 0.023%-0.068%, and 0.33%-0.66%, respectively. Except for several batches, most batches of Xuanfu Daizhe Decoction showed stable contents of index components, with no discrete values. The characteristic chromatograms and index components content characterized the information of Inulae Flos, Ginseng Radix et Rhizoma, Glycyrrhizae Radix et Rhizoma, and Zingiberis Rhizoma Recens in Xuanfu Daizhe Decoction. This study provides a scientific basis for the further research on the key chemical properties of substance benchmark and preparations of Xuanfu Daizhe Decoction.

[Quality value transmitting of substance benchmarks of Zhuru Decoction].

A total of 18 batches of Zhuru Decoction samples were prepared. Chromatographic fingerprints were established for Zhuru Decoction and single decoction pieces, the content of which was then determined. The extraction rate ranges, content, and transfer rate ranges of puerarin, liquiritin, and glycyrrhizic acid, together with the common peaks and the similarity range of the fingerprints, were determined to clarify key quality attributes of Zhuru Decoction. The 18 batches of Zhuru Decoction samples had 25 common peaks and the fingerprint similarity higher than 0.95. Puerariae Lobatae Radix, Glycyrrhizae Radix et Rhizoma, and Zingiberis Rhizoma Recens had 21, 3, and 1 characteristic peaks, respectively. The 18 batches of samples showed the extraction rates within the range of 18.45%-25.29%. Puerarin had the content of 2.20%-3.07% and the transfer rate of 38.5%-45.9%; liquiritin had the content of 0.24%-0.85% and the transfer rate of 15.9%-37.5%; glycyrrhizic acid had the content of 0.39%-1.87% and the transfer rate of 16.2%-32.8%. In this paper, the quality value transmitting of substance benchmarks of Zhuru Decoction was analyzed based on chromatographic fingerprints, extraction rate, and the content of index components. A scientific and stable method was preliminarily established, which provided a scientific basis for the quality control and formulation development of Zhuru Decoction.

[Quality value transmitting of substance benchmarks in Danggui Buxue Decoction].

To clarify the key quality attributes of substance benchmarks in Danggui Buxue Decoction(DBD), this study prepared 21 batches of DBD substance benchmarks, and established two methods for detecting their fingerprints, followed by the identification of peak attribution and similarity range as well as the determination of extract and transfer rate ranges and contents of index components ferulic acid, calycosin-7-O-ß-D-glucoside, and astragaloside Ⅳ. The mass fractions and transfer rates of DBD substance benchmarks from different batches were calculated as follows: ferulic acid(index component in Angelicae Sinensis Radix): 0.037%-0.084% and 31.41%-98.88%; astragaloside Ⅳ(index component in Astragali Radix): 0.021%-0.059% and 32.18%-118.57%; calycosin-7-O-ß-D-glucoside: 0.002%-0.023% and 11.51%-45.65%, with the extract rate being 18.4%-36.1%. The similarity of fingerprints among 21 batches of DBD substance benchmarks was all higher than 0.9. The quality control method for DBD substance benchmarks was preliminarily established based on the HPLC fingerprint analysis and index component determination, which has provided a basis for the subsequent development of DBD and the quality control of novel related preparations.

[Quality value transfer of substance benchmarks in Huanglian Decoction].

Following the preparation of substance benchmarks in Huanglian Decoction from 18 batches, the method for detecting their characteristic spectra was established to identify the similarity range and peak attribution. The content and transfer rate ranges of the index components coptisine, palmatine, berberine, liquiritin, glycyrrhizic acid, 6-gingerol, and cinnamaldehyde and the extraction amount were combined for analyzing the quality value transfer from the Chinese medicinal pieces to substance benchmarks and clarifying the key quality attributes of substance benchmarks in Huanglian Decoction. The results showed that the substance benchmarks in Huang-lian Decoction of 18 batches exhibited good similarity in characteristic spectra(all greater than 0.98). There were 17 characteristic peaks identified in the substance benchmarks of Huanglian Decoction, including 10 from Coptidis Rhizoma, 3 from Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle(processed with water), 1 from Zingiberis Rhizoma, and 3 from Cinnamomi Ramulus. The contents and average transfer rates of the index components were listed as follows: coptisine 2.20-6.46 mg·g~(-1) and 18.50%±2.93%; palmatine 3.03-8.13 mg·g~(-1) and 26.56%±4.69%; berberine 7.71-22.29 mg·g~(-1) and 17.34%±3.00%; liquiritin 0.88-2.18 mg·g~(-1) and 9.88%±4.88%; glycyrrhizic acid 1.83-4.44 mg·g~(-1) and 8.50%±3.72%; 6-gingerol 0.56-1.43 mg·g~(-1) and 11.36%±2.37%; cinnamaldehyde 1.55-3.48 mg·g~(-1) and 19.02%±4.36%. The extraction amount of the substance benchmarks from the 18 batches was controlled at 10.65%-13.88%. In this paper, the quality value transfer of substance benchmarks in Huanglian Decoction was analyzed based on the characteristic spectra, the index component contents and the extraction amount, which has provided a basis for the subsequent development of Huanglian Decoction and the quality control of its related preparations.

[Identification of chemical components based on UPLC-Q-TOF-MS/MS and network pharmacology of Zhuru Decoction].

This study analyzed the main chemical components of Zhuru Decoction via ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS), and then predicted the mechanism of Zhuru Decoction in clearing heat, resolving phlegm, detoxifying, and treating vomiting and alcohol-related vomiting caused by heat in stomach based on network pharmacology. The gradient elution was conducted in Agilent ZORBAX extend-C_(18) column(2.1 mm×100 mm, 1.8 µm) with the mobile phase of 0.1% formic acid aqueous solution(A)-acetonitrile(B) at a flow rate of 0.3 mL·min~(-1) and the column temperature of 35 ℃. The MS adopted the positive and negative ion mode of electrospray ionization(ESI), and the data were collected in the scanning range of m/z 100-1 500. A total of 98 compounds in Zhuru Decoction were identified via BATMAN, SYMMAP, TCMSP, and relevant literature, including 36 flavonoids, 7 triterpenoids, 8 gingerols, 20 organic acids, 5 amino acids, and 22 other compounds. On the basis of the available studies, 9 components were selected as index components, and the protein-protein interaction(PPI) network of the common targets was established with STRING 11.0. Finally, 10 core targets associated with the pharmacodynamic effect were screened out. This study established the UPLC-Q-TOF-MS/MS method for identifying the chemical components in the classic prescription Zhuru Decoction, and employed network pharmacology to explore the core targets of its efficacy, which provided a refe-rence for the quality control and the research of the pharmacodynamic substances of Zhuru Decoction.