Unveiling the essential oil composition and bioactivities of Piper frustratum Boerl.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Zeitschrift Fur Naturforschung Section C-A Journal of Biosciences Pub Date : 2025-03-14 DOI:10.1515/znc-2024-0227
Syarifah Nadhirah Wan Idrus, Wan Mohd Nuzul Hakimi Wan Salleh, Abubakar Siddiq Salihu, Mohd Hafiz Arzmi, Carlos L Cespedes-Acuña
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Abstract

This study aimed to investigate the chemical composition, and anticholinesterase and anti-tyrosinase activities of the essential oil extracted from the leaves of Piper frustratum Boerl., growing in Malaysia. Nineteen chemical components were identified using gas chromatography-flame ionization detection (GC-FID) and gas chromatography-mass spectrometry (GC-MS), accounting for 99.6 % of the essential oil. The identified major components include β-caryophyllene (12.6 %), β-asarone (10.7 %), myristicin (10.4 %), α-copaene (9.6 %), methyl eugenol (7.2 %), and β-cubebene (6.5 %). Anticholinesterase activity was assessed using the Ellman's method, while anti-tyrosinase activity was evaluated against mushroom tyrosinase. The essential oil demonstrated moderate inhibitory activity against acetylcholinesterase (IC50 value of 84.2 μg/mL), butyrylcholinesterase (IC50 value of 98.5 μg/mL), and tyrosinase (IC50 value of 95.4 μg/mL) enzymes. This study is the first to report the chemical composition and bioactivities of the essential oil obtained from P. frustratum, which may have implications on the characterization, pharmaceutical, and therapeutic applications of Piper essential oils.

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CiteScore
4.10
自引率
5.00%
发文量
55
期刊介绍: A Journal of Biosciences: Zeitschrift für Naturforschung C (ZNC) is an international scientific journal and a community resource for the emerging field of natural and natural-like products. The journal publishes original research on the isolation (including structure elucidation), bio-chemical synthesis and bioactivities of natural products, their biochemistry, pharmacology, biotechnology, and their biological activity and innovative developed computational methods for predicting the structure and/or function of natural products. A Journal of Biosciences: Zeitschrift für Naturforschung C (ZNC) welcomes research papers in fields on the chemistry-biology boundary which address scientific ideas and approaches to generate and understand natural compounds on a molecular level and/or use them to stimulate and manipulate biological processes.
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