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Attention Score in Context
| Title |
Rapid HPLC Quantification Approach for Detection of Active Constituents in Modern Combinatorial Formula, San-Huang-Xie-Xin-Tang (SHXXT)
|
|---|---|
| Published in |
Frontiers in Pharmacology, October 2016
|
| DOI | 10.3389/fphar.2016.00374 |
| Pubmed ID | |
| Authors |
Tung-Ying Wu, Fang-Rong Chang, Jing-Ru Liou, I-Wen Lo, Tang-Chia Chung, Li-Yao Lee, Chun-Chen Chi, Ying-Chi Du, Man-Hon Wong, Suh-Hang Hank Juo, Chun-Chen Lee, Yang-Chang Wu |
| Abstract |
San-Huang-Xie-Xin-Tang (SHXXT), one of the most important traditional Chinese medicinal formulas, is comprised by three herbal medicines, the rhizome of Rheum officinale [or Rheum tanguticum (Polygonaceae) (Dahuang in Chinese)], the root of Scutellaria baicalensis (Labiatae) (Huangqin in Chinese), and the rhizome of Coptis chinensis (Ranunculaceae) (Huanglian in Chinese) in the ratios of 2:1:1 or 1:1:1. This study is aimed to quantitate and qualify of SHXXT, by a rapid, convenient, and effective HPLC-PDA approach associated with LC-MS technique. Of which method, nine chosen major bioactive components in SHXXT, including aloe-emodin (Ale), baicalin (Ba), berberine (Be), coptisine (Co), palmatine (Pa), resveratroloside (Res), rhein (Rh), sennoside A (Se-A), and wogonin (Wo), were evaluated within 30 min. The nine chemical markers were monitored in a high sensitivity with a low detection limit of 0.01-0.55 μg/mL and the correlation coefficient of the regression curve revealed a good linearity with R(2) > 0.99. Moreover, the extraction solution system and the HPLC elution conditions were also optimized in the present study. This present developed protocol was then successfully applied to quantify nine chemical markers of 10 SHXXT products from eight Taiwanese TCM pharmaceutical companies. In quantitative results, Res was found as the major compound in SHXXT-1~5 and 8 with significantly higher amounts than those in other products, indicating the products SHXXT-1~5 and 8 may use R. tanguticum as the raw material, which possessed a higher concentration of the bioactive composition Res, instead of R. officinale. Simultaneously, Ale, Rh, and Wo were < 2% in these 10 products. Different chemical profiles of commercial products indicated that, probably, each product with the same named formula might be regarded as a sole medicine and need to be investigated individually. Importantly, it is never too much to emphasize the importance of quality control in TCM development. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 13% |
| Lecturer | 2 | 13% |
| Student > Bachelor | 2 | 13% |
| Professor | 2 | 13% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 13% |
| Chemistry | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 October 2016.
All research outputs
#20,349,664
of 22,896,955 outputs
Outputs from Frontiers in Pharmacology
#10,125
of 16,195 outputs
Outputs of similar age
#273,169
of 315,898 outputs
Outputs of similar age from Frontiers in Pharmacology
#93
of 160 outputs
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So far Altmetric has tracked 16,195 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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