Comparision of Rapid Detection of E. coli by Metallic Nanoparticles and Carbon Nanotubes

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Merat Haghi Rafieh; Issa zadeh Khosro; Abdolahzadeh Ziabari Ali; Faezi Ghasemi Mohammad

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Paper Information

Journal: Journal of Microbial Biology Year:2024 | Volume:13 | Issue:49 Page(s): 131-158

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Title

Comparision of Rapid Detection of E. coli by Metallic Nanoparticles and Carbon Nanotubes

Author(s)

Merat Haghi Rafieh | Issa zadeh Khosro | Abdolahzadeh Ziabari Ali | Faezi Ghasemi Mohammad | Issue Writer Certificate

Keywords

Enzymatic nanobiosensors

ZnO NPs

SnO NPs

MWCNTs

E. coli

Abstract

The development of rapid and highly sensitive diagnostic methods has received significant attention. Enzymatic nanobiosensors are a promising approach, offering fast results based on specific interactions between nanoparticles, enzyme, and target molecules. This study investigated the potential of ZnO nanoparticles, SnO, and multiwall carbon nanotubes (MWCNTs) as marker molecules in a system using beta-galactosidase enzyme for bacterial detection. Following nanoparticle synthesis, their structure was confirmed using XRD, FTIR, UV-DRS analyses. Enzyme activity was evaluated in the presence of the substrate ONPG. Different nanoparticle concentrations were tested with a constant amount of enzyme to determine the optimal concentration for inhibiting lactase activity. Subsequently, varying concentrations of Escherichia coli were introduced, and the ability of each nanoparticle type to detect bacteria was compared. Due to their small size, high surface area, and strong reactivity, these nanomaterials demonstrated the potential to detect low bacterial concentrations in the environment.Bacteria likely attached to the nanoparticles, hindering their intraction with the enzyme and consequently affecting enzyme activity. The results revealed MWCNTs to be most effective for bacterial identification, detecting as low as 10 CFU/mL bacteria within 15 min. This approach has promising applications in the food industry for rapid detection of low-level bacterial contamination.

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