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Neural network modeling and principal component analysis of antibacterial activity of chitosan/AgCl-TiO2 colloid treated cotton fabric

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Abstract

The present work was undertaken to predict the antibacterial activity of chitosan/AgCl-TiO2 colloid treated cotton fabric with artificial neural network (ANN) using chitosan/AgCl-TiO2 concentration and curing time as predictors. Cotton fabric samples were prepared by treating with different blends of chitosan/AgCl-TiO2 colloid and varying curing time. The antibacterial activity against Staphylococcus aureus (gram positive) and Escherichia coli (gram negative) was measured in terms of % bacterial reduction (% BR). Feedforward neural network models were trained with combination of Levenberg- Marqaurdt algorithm and Bayesian regularization support incorporated in backpropagation. The 10 % cross-validation technique was also carried out to rule out any chance of over-fitting of the trained networks. Furthermore trend analysis was also performed with developed models to understand the effect of input parameters. The promising results realized with excellent coefficient of determination and acceptable mean absolute error during network training and their testing on the novel data patterns. The developed models will benefit the design and development of clean and hygienic textiles. Principal component analysis (PCA) was also performed to visualize and analyze the correlation between the variables and the trend of individual observation on two-dimensional space.

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Authors and Affiliations

  1. Department of Textile Engineering, Mehran University of Engineering & Technology, Jamshoro, 76062, Pakistan

    Samander Ali Malik, Rabia Almas Arain, Zeeshan Khatri & Sidra Saleemi

  2. Institute of Textile Machinery and High Performance Material Technology, Technische Universität Dresden, Dresden, 01062, Germany

    Samander Ali Malik & Chokri Cherif

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  1. Samander Ali Malik
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  2. Rabia Almas Arain
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  3. Zeeshan Khatri
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  4. Sidra Saleemi
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  5. Chokri Cherif
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Correspondence to Samander Ali Malik.

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Malik, S.A., Arain, R.A., Khatri, Z. et al. Neural network modeling and principal component analysis of antibacterial activity of chitosan/AgCl-TiO2 colloid treated cotton fabric. Fibers Polym 16, 1142–1149 (2015). https://doi.org/10.1007/s12221-015-1142-2

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