| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8541765 | Journal of Pharmacy Research | 2013 | 7 Pages |
Abstract
The results demonstrated that the combinations of principal component analysis and PLS-DA offer an efficient way to identify and evaluate different extract of S. asoca. Developed method and identified biomarkers can be used for quality control purpose of S. asoca based herbal drugs.
Related Topics
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Pharmacology, Toxicology and Pharmaceutics (General)
![A rapid and simple approach to discriminate various extracts of Saraca asoca [Roxb.], De. Wild using UPLC-QTOFMS and multivariate analysis](/preview/png/8541765.png "First Page Preview: A rapid and simple approach to discriminate various extracts of Saraca asoca [Roxb.], De. Wild using UPLC-QTOFMS and multivariate analysis")
Authors
Anjum Gahlaut, Amey Shirolkar, Vikas Hooda, Rajesh Dabur,