Green synthesis and characterization of silver (Ag) nanoparticles from aqueous bulb extract of Urginea indica (Roxb.) Kunth and its antimicrobial activity
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引用次数: 0
Abstract
The present study explores the green synthesis of silver nanoparticles (AgNPs) using Urginea indica (Roxb.) Kunth bulb extract, emphasizes its eco-friendly and cost-effective nature. Characterization techniques, including UV-Vis Spectrophotometer, FTIR spectroscopy, XRD, and TEM, confirmed the successful synthesis, revealing spherical AgNPs with a size range of 9-30 nm. In antimicrobial activity, these nanoparticles exhibited significant growth inhibition activity against bacteria like Pseudomonas aeruginosa (22.66 ± 3.05 mm), S. aureus (15.33 ± 0.57 mm), E. coli (14 ± 1 mm), and fungi like Candida albicans (35.6 mm), with a notable zone of inhibition. The phytochemical analysis of the bulb extract reveals that it has various bioactive compounds, such as phenols, flavonoids, saponins, glycosides, terpenoids, and steroids, likely contributing to the reduction and stabilization of AgNPs. The green synthesis process was used for its simplicity, cleanliness, and lack of pollutants. The study shows how natural resources can be used to develop nanoparticles to fight against increasing drug resistance problems.
期刊介绍:
Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.