ISSN: 0973-7510

E-ISSN: 2581-690X

M.B. Moghadam1, M. Montazer2, A. Nazari3, G. Roshani4 and M. Ataei5
1Department of Statistics, Allameh Tabataba’i University, Tehran, Iran.
2Textile Engineering Department, Functional Fibrous Structures & Environmental Enhancement (FFSEE), Amirkabir University of Technology, Hafez Avenue, Tehran, Iran.
3Art & Architectural Department, Yazd Branch, Islamic Azad University, Yazd, Iran.
4Energy Faculty, Kermanshah University of Technology, Kermanshah, Iran.
5Faculty of Engineering, Saveh Branch, Islamic Azad University, Iran.
J. Pure Appl. Microbiol., 2016, 10 (2): 1027-1032
© The Author(s). 2016
Received: 13/03/2016 | Accepted: 10/05/2016 | Published: 30/06/2016
Abstract

In this paper, antibacterial properties of cotton fabric samples treated with nano titanium dioxide (NTO) and butane tetra carboxylic acid (BTCA) under different curing conditions (UV, High temp and UV-Temp) are compared. Response surface methodology (RSM) and artificial neural network (ANN) optimization methods are used to determine the antibacterial properties of samples and results of the two methods are compared with each other. The comparison between these two model optimization procedures shows clearly that ANN procedure can maximize E. coli reduction by 5 units more than that of RSM procedure.

Keywords

ANN, Antibacterial, BTCA, NTO, RSM, UV.

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© The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.