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Item

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Biosynthesis and Characterization of Ipomea Leaf Extract Based Copper Nanoparticles and Its Antimicrobial Activities

http://hdl.handle.net/20.500.12678/0000005805
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8c4dc295-aee6-4978-a0b1-e2fd22b8c65a
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Biosynthesis Biosynthesis and Characterization of Ipomea Leaf Extract Based Copper Nanoparticles and Its Antimicrobial Activities.pdf (383 Kb)
Publication type
Journal article
Upload type
Publication
Title
Title Biosynthesis and Characterization of Ipomea Leaf Extract Based Copper Nanoparticles and Its Antimicrobial Activities
Language en
Publication date 2020-05-30
Authors
Htun Htun Naing
Htay Htay Shwe
Khin Htay Win
Thidar Khaing
Description
Nanotechnology broadly refers to a field of applied science and technology with tremendous implications for society, industry and medicine. Biosynthesis is gaining attention due to its cost effective, eco-friendly and large scale production possibilities. Copper nanoparticles (CuNPs) with different structural properties and effective biological effects may be fabricated using new green protocols. The importance of copper nanoparticles, compared to other metal nanoparticles, is due to the high conductivity. Biological methods involve the use of plant extracts, bacteria and fungi. In this study, the leaf of Ipomea sp. L. was taken to investigate their potential for synthesizing copper nanoparticles. These synthesized CuNPs were characterized by using Fourier Transform Infrared (FT-IR) Spectroscopy, X-ray diffraction (XRD) and Scanning Electron Microscope (SEM). The crystalline size of synthesized copper nanoparticles was found in 35.79 nm. CuNPs were investigated antimicrobial activities by Agar-well diffusion method on seven microorganisms. CuNPs showed the medium activity on Escherichia coli, Pseudomonas fluorescens and Staphylococcus aureus and high activity on Agrobacterium tumefaciens, Bacillus pumilus, Bacillus subtilis and Candida albicans.
Keywords
Copper nanoparticle, XRD, FT-IR, SEM, antimicrobial activities
Journal articles
3
University of Mandalay, Research Journal
70 - 77
11
0
0
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