7 results on '"Xueyang Ren"'
Search Results
2. UV spectroscopy and HPLC combined with chemometrics for rapid discrimination and quantification of Curcumae Rhizoma from three botanical origins
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Ying Dong, Yu Wang, Xiuhuan Wang, Jing Wei, Gaimei She, Jiamu Ma, Jingjuan Wang, Xueyang Ren, Qiqi Fan, Axiang Yu, Jia Jia, Xiaoyun Liu, Ruolan Song, Ting He, and Le Wang
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Principal Component Analysis ,Chromatography ,010405 organic chemistry ,Chemistry ,Spectrum Analysis ,010401 analytical chemistry ,Clinical Biochemistry ,Calibration set ,Pharmaceutical Science ,Linear discriminant analysis ,01 natural sciences ,High-performance liquid chromatography ,0104 chemical sciences ,Analytical Chemistry ,Chemometrics ,Ultraviolet visible spectroscopy ,Curcuma ,Drug Discovery ,Partial least squares regression ,Principal component analysis ,Clinical efficacy ,Least-Squares Analysis ,Spectroscopy ,Chromatography, High Pressure Liquid ,Rhizome - Abstract
Curcumae Rhizoma (Ezhu in Chinese) is a multi-origin herbal medicine with excellent clinical efficacy. For fast discrimination and quantification analysis of Ezhu from three botanical origins (Curcuma kwangsiensis, Curcuma phaeocaulis, and Curcuma wenyujin), ultra-violet (UV) spectroscopy and high performance liquid chromatography (HPLC) combined with chemometric tools were employed in this study. Firstly, the analysis method for the simultaneous determination of eleven compounds in Ezhu was developed by HPLC, and the UV spectra of thirty-eight batches of Ezhu were acquired. Then, principal component analysis (PCA), an unsupervised pattern recognition method, was applied on the HPLC and UV spectral data. PCA did not show a clear separation between C. phaeocaulis and C. wenyujin samples with HPLC data. By contrast, the supervised techniques, decision tree (DT) and linear discriminant analysis (LDA), achieved the complete discrimination for the three species of Ezhu with 100 % correct classification rate (CCR), showing excellent performance. Based on UV spectral data, PCA presented good performance for discriminating the three species of Ezhu. LDA, support vector machine (SVM) and k-nearest neighbors (KNN) models provided 96.3 % CCR for the calibration set and 100 % CCR for the validation set. Moreover, the partial least squares (PLS) and back propagation-artificial neural network (BP-ANN) quantitative models established on UV spectral data were satisfactory in predicting the contents of zederone, curdione and 3,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)-heptane. The residual predictive deviation (RPD) for zederone, curdione and 3,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)-heptane of PLS models were 3.169, 1.502 and 1.735, and that of BP-ANN models were 3.467, 2.481 and 2.370, respectively. The present work proposed a rapid and reliable method for the discrimination of Ezhu from three botanical origins and the prediction of zederone, curdione and 3,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)-heptane contents in Ezhu, which will help a lot in the quality control of Ezhu and other multi-origin herbal medicines.
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- 2021
3. HPLC fingerprint and UV–Vis spectroscopy coupled with chemometrics for Curcumae radix species discrimination and three bioactive compounds prediction
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Xiuhuan Wang, Ying Dong, Xiaoyun Liu, Ruolan Song, Jiamu Ma, Xueyang Ren, Qiqi Fan, Jing Wei, Axiang Yu, Yu Wang, Le Wang, and Gaimei She
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Chromatography ,Chemistry ,010401 analytical chemistry ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Linear discriminant analysis ,01 natural sciences ,High-performance liquid chromatography ,0104 chemical sciences ,Analytical Chemistry ,Chemometrics ,Ultraviolet visible spectroscopy ,Fingerprint ,Principal component analysis ,Radix ,0210 nano-technology ,Spectroscopy - Abstract
Curcumae Radix with four botanical origins (Wenyujin, Huangyujin, Guiyujin, Lvyujin) has a long medical history in China. The four species have not been differentiated well in clinical application, though there were differences in pharmacological effects among them. For the aim of fast discrimination and quantitative analysis of Yujin, HPLC (high performance liquid chromatography) fingerprint and UV–Vis (ultraviolet–visible) spectroscopy technologies coupled with chemometrics were employed. The HPLC fingerprints of 26 Guiyujin, 11 Huangyujin, 11 Lvyujin, 29 Wenyujin and full 77 samples were separately established, with good similarities among same species except Wenyujin and poor consistence in full samples. UV–Vis spectra showed obvious three absorption peaks in the spectra of Huangyujin samples and only one in that of the rest samples. LDA (linear discriminant analysis) and Bagged Trees models established based on HPLC fingerprint data attained higher than 90% discrimination accuracy. Based on the spectral data, complete separation for the four species of Yujin was failed to achieve by PCA (principal component analysis), and the KNN (k-nearest neighbors) and SVM (support vector machine) models achieved no
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- 2021
4. Fast discrimination and quantification analysis of Curcumae Radix from four botanical origins using NIR spectroscopy coupled with chemometrics tools
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Xueyang Ren, Ruolan Song, Le Wang, Xiuhuan Wang, Gaimei She, Xiaoyun Liu, Yu Wang, Jing Wei, Qiqi Fan, Ying Dong, Axiang Yu, Lanzhen Zhang, and Jiamu Ma
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Support Vector Machine ,Calibration and validation ,Germacrone ,02 engineering and technology ,010402 general chemistry ,Plant Roots ,01 natural sciences ,Analytical Chemistry ,Chemometrics ,chemistry.chemical_compound ,Curdione ,Radix ,Least-Squares Analysis ,Instrumentation ,Spectroscopy ,Principal Component Analysis ,Spectroscopy, Near-Infrared ,business.industry ,Near-infrared spectroscopy ,Pattern recognition ,021001 nanoscience & nanotechnology ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,Support vector machine ,chemistry ,Principal component analysis ,Artificial intelligence ,0210 nano-technology ,business - Abstract
Curcumae Radix (Yujin) is a multi-origin herbal medicine with excellent clinical efficacy. For fast discrimination and quantification analysis of Yujin from four botanical origins (Guiyujin, Huangyujin, Lvyujin and Wenyujin), near infrared (NIR) spectroscopy combined with chemometrics tools was employed in this study. Based on NIR data, principal component analysis (PCA) could only realize the separation between Guiyujin and Wenyujin samples, and the partial least squares-discrimination analysis (PLS-DA), support vector machine (SVM) and k-nearest neighbors (KNN) models achieved the complete discrimination of the four species of Yujin with 100% accuracy. Moreover, the method for the simultaneous determination of six bioactive compounds in Yujin was developed by HPLC. Germacrone, curdione and curcumenol could be found in all samples, and curcumin, demethoxycurcumin and bisdemethoxycurcumin were only observed in Huangyujin samples. Then, the support vector machine regression (SVMR) model for the prediction of germacrone content was successfully constructed. And the coefficients of determination were 0.88 and 0.89 for calibration and validation sets, respectively. The present work proposes a quick, economic and reliable method for the discrimination of Yujin from four botanical origins and the prediction of germacrone content, which will contribute to its quality control researches.
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- 2021
5. The Genus Alnus, A Comprehensive Outline of Its Chemical Constituents and Biological Activities
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Shaojuan Bai, Gaimei She, Ting He, Xiaoyi Chen, Meng Shen, Chang Yanli, Xueyang Ren, Yicheng Zhao, and Le Wang
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Phytochemicals ,Pharmaceutical Science ,chemical constituents ,Review ,Biology ,Alnus ,01 natural sciences ,Analytical Chemistry ,lcsh:QD241-441 ,lcsh:Organic chemistry ,Genus ,Drug Discovery ,Botany ,Animals ,Humans ,Physical and Theoretical Chemistry ,Diarylheptanoids ,Plant Extracts ,010405 organic chemistry ,Organic Chemistry ,fungi ,biological activities ,Terpenoid ,0104 chemical sciences ,010404 medicinal & biomolecular chemistry ,diarylheptanoids ,Phytochemical ,Chemistry (miscellaneous) ,Polyphenol ,Chemical constituents ,Molecular Medicine ,History of use - Abstract
The genus Alnus (Betulaceae) is comprised of more than 40 species. Many species of this genus have a long history of use in folk medicines. Phytochemical investigations have revealed the presence of diarylheptanoids, polyphenols, flavonoids, terpenoids, steroids and other compounds. Diarylheptanoids, natural products with a 1,7-diphenylheptane structural skeleton, are the dominant constituents in the genus, whose anticancer effect has been brought into focus. Pure compounds and crude extracts from the genus exhibit a wide spectrum of pharmacological activities both in vitro and in vivo. This paper compiles 273 naturally occurring compounds from the genus Alnus along with their structures and pharmacological activities, as reported in 138 references.
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- 2017
6. Human gastrointestinal metabolism of the anti-rheumatic fraction of Dianbaizhu (Gaultheria leucocarpa var. yunnanensis) in vitro: Elucidation of the metabolic analysis in gastric juice, intestinal juice and human intestinal bacteria by UPLC-LTQ-Orbitrap-MSn and HPLC-DAD
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Xin Yan, Xiuhuan Wang, Ru-Feng Wang, Xueyang Ren, Gaimei She, Xiao Li, Shusheng Fan, Xiao Xu, Ting He, Le Wang, and Xiaoping Wang
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Clinical Biochemistry ,Anti-Inflammatory Agents ,Glucuronidation ,Pharmaceutical Science ,Gut flora ,01 natural sciences ,Analytical Chemistry ,Feces ,chemistry.chemical_compound ,Sulfation ,Glucosides ,Chlorogenic acid ,Drug Discovery ,Humans ,Glycosides ,Chromatography, High Pressure Liquid ,Spectroscopy ,chemistry.chemical_classification ,Gastrointestinal tract ,Gastric Juice ,Bacteria ,biology ,010405 organic chemistry ,010401 analytical chemistry ,Glycoside ,Metabolism ,biology.organism_classification ,Body Fluids ,Gastrointestinal Microbiome ,0104 chemical sciences ,Gastrointestinal Tract ,Intestines ,Biochemistry ,chemistry ,Antirheumatic Agents ,Ericaceae ,Gaultheria ,Methyl salicylate - Abstract
The anti-rheumatic fraction (ARF), is responsible for the anti-inflammatory and analgesic effects of Dianbaizhu derived from the aerial part of Gaultheria leucocarpa var. yunnanensis (Ericaceae). The gastrointestinal metabolism of ARF was investigated in vitro through simulating a series of models-gastric juice, intestinal juice, and human intestinal bacteria, analyzed by HPLC-DAD and UPLC-LTQ-Orbitrap-MSn. ARF includes three categories: methyl salicylate glycosides, organic acids and the others. The primordial and metabolic components of ARF bio-transformed by simulated gastric fluid (36 and 13), intestinal fluid (29 and 7) and two human fecal bacteria (34 and 34, 40 and 25) were characterized, respectively. The methyl salicylate glycosides, MSTG-B, MSTG-A and gaultherin, with terminal-xylosyl-moiety in sugar chain were always being found in the whole gastrointestinal incubation processing. The metabolites were formed through hydrolysis of ester and glucosidic bond, as well as methylation, hydroxylation, acetylation, sulfation, reduction, decarboxylation, deglycosylation and glucuronidation. The metabolic conversion effect of the four index compounds, MSTG-B, MSTG-A, gaultherin, and chlorogenic acid by human intestinal bacteria exhibited much stronger. Those markers' variation in content-time curve in volunteer A gut flora were faster than that in volunteer B's. These results indicate that ARF is relatively stable in the gastrointestinal tract.
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- 2019
7. Multi-Response Extraction Optimization Based on Anti-Oxidative Activity and Quality Evaluation by Main Indicator Ingredients Coupled with Chemometric Analysis on Thymus quinquecostatus Celak
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Xueyang Ren, Xiuhuan Wang, Le Wang, Chang Yanli, Meng Shen, Xiao Li, Xiaoyi Chen, Gaimei She, Ting He, Hong Sui, Xiaoping Wang, and Shusheng Fan
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DPPH ,Thymus quinquecostatus Celak ,Pharmaceutical Science ,01 natural sciences ,High-performance liquid chromatography ,Article ,Analytical Chemistry ,Thymus Plant ,Chemometrics ,chemistry.chemical_compound ,Drug Discovery ,Response surface methodology ,Physical and Theoretical Chemistry ,Chromatography, High Pressure Liquid ,response surface analysis ,UPLC-LTQ-Orbitrap MSn ,Principal Component Analysis ,Plants, Medicinal ,Chromatography ,quantitative analysis ,010405 organic chemistry ,antioxidative activity ,010401 analytical chemistry ,Organic Chemistry ,Extraction (chemistry) ,0104 chemical sciences ,Oxidative Stress ,chemistry ,Chemistry (miscellaneous) ,thyme ,Principal component analysis ,Molecular Medicine ,Thymus quinquecostatus ,HPLC ,Quantitative analysis (chemistry) - Abstract
Thymus quinquecostatus Celak is a species of thyme in China and it used as condiment and herbal medicine for a long time. To set up the quality evaluation of T. quinquecostatus, the response surface methodology (RSM) based on its 2,2-Diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity was introduced to optimize the extraction condition, and the main indicator components were found through an UPLC-LTQ-Orbitrap MSn method. The ethanol concentration, solid-liquid ratio, and extraction time on optimum conditions were 42.32%, 1:17.51, and 1.8 h, respectively. 35 components having 12 phenolic acids and 23 flavonoids were unambiguously or tentatively identified both positive and negative modes to employ for the comprehensive analysis in the optimum anti-oxidative part. A simple, reliable, and sensitive HPLC method was performed for the multi-component quantitative analysis of T. quinquecostatus using six characteristic and principal phenolic acids and flavonoids as reference compounds. Furthermore, the chemometrics methods (principal components analysis (PCA) and hierarchical clustering analysis (HCA)) appraised the growing areas and harvest time of this herb closely relative to the quality-controlled. This study provided full-scale qualitative and quantitative information for the quality evaluation of T. quinquecostatus, which would be a valuable reference for further study and development of this herb and related laid the foundation of further study on its pharmacological efficacy.
- Published
- 2018
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