Citation
Abstract
Gynura procumbens and Cleome gynandra are two herbs commonly used in Malaysia to treat various ailments and are also consumed as salads (ulam) and vegetables. The present study aims to evaluate the relationship between the chemical compositions of both herbs and their antioxidant and anti-inflammatory properties using nuclear magnetic resonance (NMR) metabolomics approach, which is being reported for the first time. Different ethanolic extracts of both herbs were tested for DPPH scavenging and inhibition of nitric oxide (NO) via RAW 264.7 macrophage cell induction. Principal component analysis (PCA) revealed a good separation between the extracts and the corresponding metabolites identified via 1H NMR spectroscopy. The 100% ethanolic extract from both herbs and 20% ethanolic extract of C. gynandra were found to have the best antioxidant and anti-inflammatory activities. Kaempferol, quercetin, caffeoylquinic, dicaffeoylquinic acids, gallic acid, mallic acid, citric acid, phenylalanine, and choline are among the metabolites that contributed to bioactivities. The partial least square (PLS) model for both herbs have an overall acceptable goodness of fit and predictive power, which further strengthens the validity of this study. The present study provides a preliminary reference for the selection of optimum extract and will shed some light on the potential use of G. procumbens and C. gynandra as a phytomedicinal preparation.
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Official URL or Download Paper: https://link.springer.com/article/10.1007/s11130-0...
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Food Science and Technology Institute of Bioscience |
DOI Number: | https://doi.org/10.1007/s11130-020-00805-3 |
Publisher: | Springer |
Keywords: | 1H NMR; C. gynandra; G. procumbens; Metabolomics; PCA; PLS |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 06 Jul 2022 08:12 |
Last Modified: | 06 Jul 2022 08:12 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s11130-020-00805-3 |
URI: | http://psasir.upm.edu.my/id/eprint/87564 |
Statistic Details: | View Download Statistic |
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