Green synthesis and characterization of iron nanoparticles using Moringa oleifera (Leaves) and their phytochemical screening with biological significance

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2023-10-01 DOI:10.1016/j.cdc.2023.101065
Jyoti Chaudhary , Suresh Jandu , Giriraj Tailor , Chetna
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Abstract

This work has developed the biogenic production of FeNPs nanoflower from FeSO4 capped with Moringa oleifera (MO).The simple, economical, and environmentally beneficial FeNPs that were synthesized were described utilizing a variety of methods. The UV–visible spectroscopy investigation verified the change in visible colour that results in the formation of FeNPs. The X-ray diffraction spectroscopy revealed the low crystallinity of FeNPs. This report's phytochemical investigation of various extracts of Moringa oleifera revealed the existence of amino acids, alkaloids, carbohydrates, anthraquinones (free and combined),carbohydrates, phenolic compounds, tannins, flavonoids, saponins, steroids or terpenes, and proteins, and the absence of reducing sugars (MO). Remarkably, the bacterial strains exhibit high and potent susceptibility to the synthesized FeNPs at lower doses than they do to traditional antibacterial medications. Low cost,non-toxicity, and ease of synthesis in the rapeutic biomedical applications,the formed FeNPs have been proven to be a good, effective, and promising antibacterial agent.

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辣木叶片铁纳米颗粒的绿色合成、表征及其生物化学筛选
本研究以辣木(Moringa oleifera, MO)为封顶材料,利用FeSO4生物源制备了FeNPs纳米花。利用多种方法合成了简单、经济、环保的FeNPs。紫外-可见光谱研究证实了导致FeNPs形成的可见颜色的变化。x射线衍射光谱显示FeNPs的结晶度较低。本报告对辣木的各种提取物进行了植物化学研究,发现其含有氨基酸、生物碱、碳水化合物、蒽醌(游离和结合)、碳水化合物、酚类化合物、单宁、黄酮类、皂苷、类固醇或萜烯和蛋白质,不含还原糖(MO)。值得注意的是,与传统抗菌药物相比,细菌菌株在较低剂量下对合成的FeNPs表现出高而有效的敏感性。制备的FeNPs具有成本低、无毒、易于合成等优点,已被证明是一种良好、有效、有发展前景的抗菌剂。
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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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