Green synthesis and characterization of silver (Ag) nanoparticles from aqueous bulb extract of Urginea indica (Roxb.) Kunth and its antimicrobial activity

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-06-06 DOI:10.1016/j.cdc.2024.101150
Uday Sahu, Shriram Kunjam
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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.

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从 Urginea indica(Roxb.
本研究探讨了利用鳞茎提取物(Urginea indica (Roxb.) Kunth bulb extract)合成银纳米粒子(AgNPs)的绿色方法,强调了其环保性和成本效益。紫外-可见分光光度计、傅立叶变换红外光谱、X射线衍射和透射电镜等表征技术证实了该方法的成功合成,发现了尺寸范围为9-30 nm的球形银纳米粒子。在抗菌活性方面,这些纳米颗粒对铜绿假单胞菌(22.66 ± 3.05 mm)、金黄色葡萄球菌(15.33 ± 0.57 mm)、大肠杆菌(14 ± 1 mm)等细菌和白色念珠菌(35.6 mm)等真菌具有显著的生长抑制活性,抑制区明显。鳞茎提取物的植物化学分析显示,它含有多种生物活性化合物,如酚类、黄酮类、皂苷类、苷类、萜类和类固醇,可能有助于还原和稳定 AgNPs。绿色合成工艺因其简单、清洁和无污染物而被采用。这项研究显示了如何利用自然资源来开发纳米粒子,以应对日益严重的抗药性问题。
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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
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.
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