scholarly journals Spectrum-Effect Relationships of Flavonoids in Glycyrrhiza uralensis Fisch.

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tingting Li ◽  
Shiyao Hua ◽  
Jiahua Ma ◽  
Lin Dong ◽  
Fang Xu ◽  
...  
Keyword(s):  
High Performance ◽  
Scientific Basis ◽  
Glycyrrhiza Uralensis ◽  
Gray Relational Analysis ◽  
Least Squares Regression ◽  
Glycyrrhiza Uralensis Fisch ◽  
Flight Mass Spectrometry ◽  
Chromatographic Fingerprints ◽  
Resin Separation ◽  
Spectrum Effect

Glycyrrhiza uralensis Fisch. is used in large quantities in traditional Chinese medicine. It contains flavonoids, saponins, and polysaccharides, with flavonoids being the main active ingredients. In this study, flavonoids were isolated from the roots of Glycyrrhiza uralensis Fisch. grown in 21 areas in China by water extraction, alcohol precipitation, polyamide resin separation, and other methods. Fingerprints were established by high performance liquid chromatography (HPLC). There were 15 common peaks in the fingerprints by similarity evaluations of the chromatographic fingerprints. The spectrum-effect relationships between the HPLC fingerprints and pharmacological activities of flavonoids in G. uralensis Fisch., including the heat clearing, detoxifying effects, cough relief, and phlegm elimination effects, were assessed by gray relational analysis and partial least squares regression. After HPLC-quadrupole time-of-flight mass spectrometry and standard comparison, these five identified compounds (liquiritin apioside, neoisoliquiritin, licochalcone A, licochalcone B, and licochalcone C) could be used to evaluate licorice quality with regard to its efficacy. This research provides a scientific basis for improving licorice quality and also establishes a model for modernization of traditional Chinese medicines.

scholarly journals Study on the Spectrum-Effect Relationship of the Traditional Effect of Saponins in Glycyrrhiza uralensis Fisch

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenxin Xia ◽  
Qiansong Liu ◽  
Hao Zhou ◽  
Shiyao Hua ◽  
Lin Dong ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
High Performance ◽  
Gray Relational Analysis ◽  
Least Squares Regression ◽  
Effect Relationship ◽  
Long Time ◽  
Pharmacological Substance ◽  
New Research ◽  
Spectrum Effect

Licorice is a traditional Chinese medicine that has been used for a long time in China and still in great use today. The effect of licorice on tonifying spleen and invigorating qi has been proved for thousands of years, but the material basis of its effect is not clear. In this paper, we established the fingerprints of 21 batches of licorice collected from different origins in China with High-Performance Liquid Chromatography (HPLC) to identify the common peaks. Its effect of tonifying spleen and invigorating qi was confirmed through a series of praxiology experiments. The spectrum-effect relationship between HPLC fingerprints and its effect of tonifying spleen and invigorating qi of licorice was examined by gray relational analysis and partial least squares regression analysis. Results showed that the effect of licorice on tonifying spleen and invigorating qi resulted from various compounds and peaks. X2–X6 is presumed to be the main pharmacological substance base. This research successfully identified the spectrum-effect relationship between HPLC fingerprints and the effect of licorice on tonifying spleen and invigorating qi. The research method based on the spectrum-effect relationship helps provide new research ideas and strategies for the study of the basis of the medicinal materials and quality control of traditional Chinese medicine.

scholarly journals Simultaneous Quantitative Analysis of Q-Marker with One Single Reference in Glycyrrhiza uralensis Fisch

2020 ◽  
Vol 58 (6) ◽  
pp. 511-519
Author(s):  
Xin Dong ◽  
Fangyuan Zheng ◽  
Xin Liu ◽  
Lianju Zhang ◽  
Rongqin Hu ◽  
...  
Keyword(s):  
Quality Control ◽  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Quantitative Analysis ◽  
Standard Method ◽  
High Performance ◽  
Glycyrrhiza Uralensis ◽  
Glycyrrhiza Uralensis Fisch ◽  
External Standard Method ◽  
Relative Standard

Abstract In traditional Chinese medicine (TCM) studies, it is difficult to choose evaluation markers for the strict quality control of herbs. A high performance liquid chromatography coupled with metabolomics for simultaneous quantitative analysis of quality markers (Q-markers) in Glycyrrhiza uralensis Fisch was established, which could not only ensure the quality and batch-to-batch consistency of TCMs, but also achieve a quantitative analysis of multi-components by the single reference standard. Based on the construction of chromatographic profiles by high performance liquid chromatography (HPLC) and HPLC-Q-Exactive/MS methods, different multivariate analyses were employed. Seven quantitative indices were selected as the Q-markers, and a reliable quantification method was established. The quantitative method was acceptable with good linearity with correlation coefficients >0.9993 and satisfactory repeatability (relative standard deviation (RSD) < 0.05%), precision (RSD < 0.24%), reproducibility (RSD < 0.97%), stability (RSD < 2.52%) and recoveries (96.96%—98.52%, RSD < 3.24%), and no significant differences were observed between the external standard method and the new method as determined by calculating standard method difference. Overall, the study suggests that the simultaneous quantitative analysis of main Q-marker in G. uralensis Fisch with one single marker can be considered good quality criteria for performing quality control of G. uralensis Fisch.

scholarly journals Authentication of the Origin, Variety and Roasting Degree of Coffee Samples by Non-Targeted HPLC-UV Fingerprinting and Chemometrics. Application to the Detection and Quantitation of Adulterated Coffee Samples

Foods ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 378 ◽  
Author(s):  
Nerea Núñez ◽  
Xavi Collado ◽  
Clara Martínez ◽  
Javier Saurina ◽  
Oscar Núñez
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
High Performance ◽  
Partial Least Squares Regression ◽  
Prediction Errors ◽  
Least Squares Regression ◽  
Chromatographic Fingerprints ◽  
Sample Classification ◽  
Chemical Descriptors

In this work, non-targeted approaches relying on HPLC-UV chromatographic fingerprints were evaluated to address coffee characterization, classification, and authentication by chemometrics. In general, high-performance liquid chromatography with ultraviolet detection (HPLC-UV) fingerprints were good chemical descriptors for the classification of coffee samples by partial least squares regression-discriminant analysis (PLS-DA) according to their country of origin, even for nearby countries such as Vietnam and Cambodia. Good classification was also observed according to the coffee variety (Arabica vs. Robusta) and the coffee roasting degree. Sample classification rates higher than 89.3% and 91.7% were obtained in all the evaluated cases for the PLS-DA calibrations and predictions, respectively. Besides, the coffee adulteration studies carried out by partial least squares regression (PLSR), and based on coffees adulterated with other production regions or variety, demonstrated the good capability of the proposed methodology for the detection and quantitation of the adulterant levels down to 15%. Calibration, cross-validation, and prediction errors below 2.9%, 6.5%, and 8.9%, respectively, were obtained for most of the evaluated cases.

scholarly journals Evaluation of the Effects of Processing Technique on Chemical Components in Raphani Semen by HPLC and UPLC-Q-TOF-MS

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Sijia Gao ◽  
Jirui Wang ◽  
Lei Cheng ◽  
Yuxin Fan ◽  
Weihan Qin ◽  
...  
Keyword(s):  
Liquid Chromatography ◽  
High Performance ◽  
Processing Technique ◽  
Scientific Basis ◽  
Hplc Method ◽  
Chemical Components ◽  
Flight Mass Spectrometry ◽  
Ultrahigh Performance Liquid Chromatography ◽  
Processing Techniques ◽  
Tof Ms

In this study, the effects of different processing techniques on the chemical components of Raphani Semen (RS) were evaluated. An established high-performance liquid chromatography (HPLC) method was adopted for the simultaneous determination of glucoraphanin, sinapine thiocyanate, raphanin, and erucic acid in the fried products of Raphani Semen to evaluate the chemical changes during frying processing as well as optimize the best frying technology of Raphani Semen. Then, the chemical components in the fried Raphani Semen were identified by ultrahigh-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). A total of 54 compounds in processed Raphani Semen were identified by UPLC-Q-TOF-MS. The results showed that the content of glucoraphanin and sinapine thiocyanate was the highest in the fried products at 130°C for 10 min, and the effect of “Enzyme Killing and Glycosides Preserving” was the best. Therefore, this condition was chosen as the best frying technology of Raphani Semen. This study provided a more scientific basis for evaluation of the quality of Raphani Semen fried products and optimization of the frying technology of Raphani Semen.

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