Determination of Flavonoid Content and Anti-Inflammatory Activity Extract and Fraction of Sungkai Leaf (Peronema canescens Jack)
DOI:
https://doi.org/10.35814/jifi.v21i2.1437Keywords:
COVID-19, inflammation, infectious disease, protein denaturation, SARS-CoV-2 virusAbstract
The SARS-CoV-2 virus is the infectious agent that causes COVID-19, a feverish condition brought on by inflammation in the infected patient’s body. Sungkai leaf (Peronema canescens Jack) is one of the Indonesian people who rely on herbal remedies to treat COVID-19. This study aims to determine how much flavonoids are present in ethanol, ethyl acetate, and n-hexane extracts, as well as the anti-inflammatory properties of ethanol extract, ethanol fraction, and n-hexane fraction of Sungkai leaves. The procedure was performed in-vitro with a UV-Visible spectrophotometer by observing the absorption response to inhibition of denaturation of inflammatory protein. The inhibition value was then computed via linear regression, and the IC50 and IC70 values were ascertained afterward. The ethanol fraction, ethanol extract, and n-hexane fraction in this investigation had the best inhibition values (%) at a concentration of 15 ppm, corresponding to 74.27%, 54.48%, and 18.52%. The sungkai leaves ethanol fraction > n-hexane fraction > ethanol extract had the best IC50 and IC70 values. Comparatively, the ethanol extract contained the largest amounts of flavonoids, 38.782 μg/mL.
References
Downloads
Published
Issue
Section
License
Licencing
All articles in Jurnal Ilmu Kefarmasian Indonesia are an open-access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License which permits unrestricted non-commercial used, distribution and reproduction in any medium.
This licence applies to Author(s) and Public Reader means that the users mays :
- SHARE:
copy and redistribute the article in any medium or format - ADAPT:
remix, transform, and build upon the article (eg.: to produce a new research work and, possibly, a new publication) - ALIKE:
If you remix, transform, or build upon the article, you must distribute your contributions under the same license as the original. - NO ADDITIONAL RESTRICTIONS:
You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
It does however mean that when you use it you must:
- ATTRIBUTION: You must give appropriate credit to both the Author(s) and the journal, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
You may not:
- NONCOMMERCIAL: You may not use the article for commercial purposes.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

















