Detection of Sulfate Reducing Corrosive Bacteria Using Polyaniline/Copper Nano-sensor

سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 128

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شناسه ملی سند علمی:

ICNABS02_069

تاریخ نمایه سازی: 28 اردیبهشت 1405

چکیده مقاله:

One of the types of corrosion that can significantly impact the industry in both industrial and atmospheric environments is microbial corrosion, which is distinguished by the role of living organisms. Sulfate-reducing bacteria are among the most common microorganisms that play a significant role in the corrosion of waste equipment, particularly in the power industry. In this study, samples collected from the power plant were introduced for an analysis of two types of effluent containing low and high-density SRB bacteria. In the high-density SRB sample, the culture medium was completely in black color. To identify these types of microorganisms, voltameter sensors are a promising category of analytical tools for sensing due to their low cost, ease of construction, and excellent reusability. For this purpose, polyaniline-copper nanocomposite was stabilized on the gold electrode. To confirm the validity of the immobilized nanocomposite on the electrode, the Scanning Electron Microscopy (SEM) was used for both the coated electrode and the reference. Finally, the chrono-amprometric technique was used to check the identification sensor capability. The substituted compound to examine the electrode coated with nanocomposite is ۲-Mercaptobenzothiazole, which has a similar structure to H۲S produced by SRB and is less toxic than hydrogen sulfide.

نویسندگان

Sara Mohseni

Senior Researcher, Non-metallic Materials Research Group & Center of Nanotechnology Development, Niroo Research Institute (NRI), Tehran, Iran

Afsanehsadat Larimi

School of Engineering and Applied Sciences, Department of Chemical Engineering, Swansea University, Wales, UK

Majid Mirzaee

Assistant Professor, Non-metallic Materials Research Group, Niroo Research Institute (NRI), Tehran, Iran

Ali Akbar Asgharinezhad

Chemistry and Process Research Department, Niroo Research Institute, Tehran, Iran