PreprintArticleVersion 1This version is not peer-reviewed
Antimicrobial Profiling of Piper betle L. and Piper nigrum L. Against Methicillin-Resistant Staphylococcus aureus (MRSA): Integrative Analysis of Bioactive Compounds Based on FT-IR, GC-MS, and Molecular Docking Studies
Version 1
: Received: 12 October 2024 / Approved: 12 October 2024 / Online: 15 October 2024 (03:47:32 CEST)
How to cite:
Yasir, B.; Mus, S.; Rahimah, S.; Tandiongan, R. M.; Klara, K. P.; Afrida, N.; Nisaa, N. R. K.; Risna, R.; Jur, A. W.; Alam, G.; Rohman, A. Antimicrobial Profiling of Piper betle L. and Piper nigrum L. Against Methicillin-Resistant Staphylococcus aureus (MRSA): Integrative Analysis of Bioactive Compounds Based on FT-IR, GC-MS, and Molecular Docking Studies. Preprints2024, 2024100998. https://doi.org/10.20944/preprints202410.0998.v1
Yasir, B.; Mus, S.; Rahimah, S.; Tandiongan, R. M.; Klara, K. P.; Afrida, N.; Nisaa, N. R. K.; Risna, R.; Jur, A. W.; Alam, G.; Rohman, A. Antimicrobial Profiling of Piper betle L. and Piper nigrum L. Against Methicillin-Resistant Staphylococcus aureus (MRSA): Integrative Analysis of Bioactive Compounds Based on FT-IR, GC-MS, and Molecular Docking Studies. Preprints 2024, 2024100998. https://doi.org/10.20944/preprints202410.0998.v1
Yasir, B.; Mus, S.; Rahimah, S.; Tandiongan, R. M.; Klara, K. P.; Afrida, N.; Nisaa, N. R. K.; Risna, R.; Jur, A. W.; Alam, G.; Rohman, A. Antimicrobial Profiling of Piper betle L. and Piper nigrum L. Against Methicillin-Resistant Staphylococcus aureus (MRSA): Integrative Analysis of Bioactive Compounds Based on FT-IR, GC-MS, and Molecular Docking Studies. Preprints2024, 2024100998. https://doi.org/10.20944/preprints202410.0998.v1
APA Style
Yasir, B., Mus, S., Rahimah, S., Tandiongan, R. M., Klara, K. P., Afrida, N., Nisaa, N. R. K., Risna, R., Jur, A. W., Alam, G., & Rohman, A. (2024). Antimicrobial Profiling of <em>Piper betle </em>L. and <em>Piper nigrum</em> L. Against Methicillin-Resistant <em>Staphylococcus aureus</em> (MRSA): Integrative Analysis of Bioactive Compounds Based on FT-IR, GC-MS, and Molecular Docking Studies. Preprints. https://doi.org/10.20944/preprints202410.0998.v1
Chicago/Turabian Style
Yasir, B., Gemini Alam and Abdul Rohman. 2024 "Antimicrobial Profiling of <em>Piper betle </em>L. and <em>Piper nigrum</em> L. Against Methicillin-Resistant <em>Staphylococcus aureus</em> (MRSA): Integrative Analysis of Bioactive Compounds Based on FT-IR, GC-MS, and Molecular Docking Studies" Preprints. https://doi.org/10.20944/preprints202410.0998.v1
Abstract
This study explored the antimicrobial potential of Piper betle L. (PBL) and Piper nigrum L. (PNL) extracts against MRSA. Plant parts including stem, leaf, and fruit were extracted using aquadest, methanol, and hexane, resulting in 18 distinct extracts. FT-IR combined with cluster analysis (CA) categorized the extracts, and anti-MRSA activity was assessed through the paper disk dif-fusion method. The most potent extracts were further analyzed using GC-MS to identify bioac-tive compounds. Additionally, molecular docking studies were conducted for MRSA protein targets (4DKI, 6H5O, and 4CJN). The hexane extract of PNL and the aqueous extract of PBL fruit showed the strongest inhibitory effects. GC-MS identified Piperine (14.22%) and Diisooctyl phthalate (14.67%) as major compounds, with Piperolein B, Piperanine, Beta-caryophyllene ox-ide, and Alpha-caryophylladienol as minor compounds in the hexane extract of PNL, while hy-droxychavicol (81.89%) and Chavibetol (12.01%) were predominant in the aquadest extract of PBL. Molecular docking revealed that Piperolein B and Piperine had strong binding affinities to MRSA proteins 4DKI, 6H5O, and 4CJN, comparable to ciprofloxacin. In conclusion, this study confirms the potential of PBL and PNL as sources of novel anti-MRSA agents, supporting fur-ther research to develop new therapies.
Keywords
Piper extracts; cluster analysis; MRSA; fourier transform infrared; gas chromatography-mass spectrometry; In Silico Studies
Subject
Chemistry and Materials Science, Food Chemistry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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