Acta Scientific Pharmacology

Research Article Volume 2 Issue 8

Application of Taguchi Method in the Optimization of Parameters in the Synthesis of Graphene/Cotton Nanocomposite: An Antibacterial Agent

Faranak Khojasteh, Mahmoud Reza Sohrabi*, Morteza Khosravi, Mehran Davallo and Fereshteh Motiee

Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, Iran

*Corresponding Author: Mahmoud Reza Sohrabi, Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, Iran.

Received: June 19, 2021; Published: July 20, 2021


The purpose of this paper is to optimize the coating process nano graphene particles on cotton using the Taguchi method. Optimization of experimental parameters, including graphene oxide (GO) concentration, the dosage of sodium borohydride (NaBH4), dosage of calcium chloride (CaCl2), and time was performed by applying the Taguchi method of experimental design (L9 orthogonal array). Analysis of variance (ANOVA) was also investigated to find the significance and percentage contribution of each factor. Reaction at room temperature performed. The synthesized nanocomposite was characterized using a scanning electron microscope (SEM), Fourier transforms infrared spectroscopy (FTIR) and X-Ray diffraction (XRD). The Taguchi method was preferred over the factorial method, another design option for optimizing phenomena. Minimal chemical consumption, cost reduction, increase of product efficiency and stability by optimizing the reaction parameters are the advantages of using Taguchi method in this article. The synthesized nanocomposite has antibacterial properties and has a high potential for a wide range of medical and pharmaceutical applications.

Keywords: Graphene Oxide; Cotton; Factorial Method; Optimization; Taguchi Method; Antibacterial


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Citation: Mahmoud Reza Sohrabi., et al. “Application of Taguchi Method in the Optimization of Parameters in the Synthesis of Graphene/Cotton Nanocomposite: An Antibacterial Agent".Acta Scientific Pharmacology 2.8 (2021): 07-13.


Copyright: © 2020 Mahmoud Reza Sohrabi., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


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