Repository of Research and Investigative Information

Repository of Research and Investigative Information

Bam University of Medical Sciences

A controllable procedure for removing Navicula algae from drinking water using an ultrasonic-assisted electrospun method for highly efficient synthesis of Co-MOF/PVA polymeric network

(2022) A controllable procedure for removing Navicula algae from drinking water using an ultrasonic-assisted electrospun method for highly efficient synthesis of Co-MOF/PVA polymeric network. Applied Physics a-Materials Science & Processing. p. 11. ISSN 0947-8396

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Abstract

Navicula algae are major contributors to water pollution, including its taste and odour. In this study, new Co-MOF/PVA polymeric fibrous nanostructures were synthesized by incorporation of Co-MOF in the PVA fibrous network using ultrasound-assisted electrospinning route. The results obtained from the different analyses showed that the physicochemical properties of the final product were improved compared to pure Co-MOF nanostructures. It seems that the type of synthesis route, as well as the incorporation of nanostructures, has a great effect on the properties of the final Co-MOF/PVA samples. Due to the properties of the products such as high thermal stability (273 degrees C), narrow crystalline size (35 nm), and homogenous morphology, the Co-MOF/PVA fibrous nanostructures samples have been used as a novel candidate for removing Navicula Algae from drinking water. The 2(k-1) experimental design results showed that the rate of algae removal by these nanostructures is about 98. To achieve the desired performance of the Co-MOF/PVA nanofibrous network, RSM was used. This optimization methodology facilized the experimental conditions of the removal rate of about 99.96.

Item Type: Article
Keywords: Metal organic framework Nanofibrous, electrospinning Algae removal Factorial design nanofibers Materials Science Physics
Divisions:
Page Range: p. 11
Journal or Publication Title: Applied Physics a-Materials Science & Processing
Journal Index: ISI
Volume: 128
Number: 5
Identification Number: https://doi.org/10.1007/s00339-022-05524-x
ISSN: 0947-8396
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mubam.ac.ir/id/eprint/1366

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