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Kazemi S, Doudi M, Amiri G R. Biosynthesis of Silver Nanoparticles Using Bacteria Isolates from Wastewater . mljgoums 2017; 11 (6) :42-47
URL: http://mlj.goums.ac.ir/article-1-1023-en.html
1- Department of Microbiology, Falavarjan Branch, Islamic Azad University, Falavarjan, Isfahan, Iran
2- Department of Microbiology, Falavarjan Branch, Islamic Azad University, Isfahan, Iran
3- Department of Biology, Falavarjan Branch, Islamic Azad University, Isfahan, Iran
Abstract:   (15681 Views)
ABSTRACT
           Background and Objectives: Development of ecofriendly processes for the synthesis of metal nanoparticles is of great importance in the field of nanotechnology. Microorganisms such as bacteria could be suitable candidates for bioproduction of nanoparticles due to their simplicity and high compatibility with the environment. The aim of this study was to use bacteria isolates from the effluent of wastewater treatment plants to produce silver nanoparticles.
         Methods: For identifying silver-resistant microorganisms, we used the agar diffusion method using PHG II medium containing 0.5 mM silver to determine minimum inhibitory concentration. Bacterial identification was done with biochemical testing and polymerase chain reaction (colony PCR). Finally, silver nanoparticles were produced in the desired bacteria, and the properties of these nanoparticles were studied.
         Results: We found five silver-resistant bacteria among which Stenotrophomonas maltophilia strain MS8 showed the highest resistance (MIC= 6 mM). The bacterium was able to synthesize silver nanoparticles in spherical shapes. The results obtained from visual observations using UV-VIS, TEM and XRD showed that the bacterium was able to reduce silver ions into silver nanoparticles with maximum size of 20 nm.
Conclusion: Based on our findings, this bacterium could be useful for biosynthesis of silver nanoparticles.
          KEYWORDS: Bacteria, Biosynthesis, Minimum Inhibitory Concentration. 
Full-Text [PDF 688 kb]   (1703 Downloads)    
Research Article: Original Paper |
Received: 2017/11/20 | Accepted: 2017/11/20 | Published: 2017/11/20 | ePublished: 2017/11/20

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