PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

 

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Optimisation of Silver Nanoparticle Synthesis using Aqueous Extract of Passiflora foetida L. via Response Surface Methodology

Silvia Handayani, Alyza A. Azmi, R. Rudiyanto, Wan Iryani Wan Ismail, Kustiariyah Tarman, Faridah Abas4, Wan M. Khairul, and M. Maulidiani

Pertanika Journal of Science & Technology, Volume 34, Issue 2, April 2026

DOI: https://doi.org/10.47836/pjst.34.2.09

Keywords: Antioxidant, green synthesis, Passiflora foetida, response surface methodology, silver nanoparticles

Published on: 2026-04-30

This study investigates the green synthesis of silver nanoparticles (PF-AgNPs) using the aqueous extract of the medicinal plant Passiflora foetida to enhance their biological activity. PF-AgNPs were characterised using UV-Vis spectroscopy, FTIR, XRD, SEM, and EDX analyses. The UV-Vis absorption peaks of PF-AgNPs were observed between 380 and 480 nm. Structural characterisation using FTIR and XRD confirmed that the functional groups of P. foetida metabolites acted as surface-capping agents, yielding crystallised AgNPs with a face-centred cubic (fcc) structure. SEM-EDX analysis further revealed that the synthesised PF-AgNPs were spherical and displayed a uniform distribution of silver at 66.39% under the optimised condition. The synthesis of PF-AgNPs was optimised using a Box–Behnken design via Response Surface Methodology (RSM), evaluating the effects of extract concentration (0.1%, 0.2%, and 0.3%), pH (4, 7, and 10), and temperature (30 °C, 50 °C, and 70 °C), with observations taken at 1 and 24 hours. UV-Vis intensity, NO scavenging activity, and DPPH scavenging activity were used as the response variables in RSM modelling. All models yielded p-values of less than 0.05, indicating that the factors significantly influenced PF-AgNP synthesis, with pH identified as the most effective parameter. PF-AgNPs exhibited DPPH and NO inhibitory activities of 35.64% and 38.7%, respectively, both of which were higher than those of the extract (17.16%). These findings highlight a sustainable and statistically guided approach for synthesising bio-functional AgNPs with promising potential for future biomedical applications.

ISSN 0128-7680

e-ISSN 2231-8526

Article ID

JST-6121-2025

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