Abstract
The release of coloured effluents from various dying industries are of great concern due to the challenge involved in the treatment process. In present work, response surface methodology (RSM) and artificial neural network (ANN) were used to predict the color removal using adsorption process. Water hyacinth (WH) was used as an economical adsorbent for color removal from aqueous solution in a batch system. The individual effect of influential parameter viz. initial pH, MB (dye) concentration, and the adsorbent dose were studied using the central composite design of RSM. The RSM result was used as an input data along with final pH (non-controllable parameter) after adsorption to train the ANN model. Color removal of 96.649% was obtained experimentally at the optimized condition. A comparison between the experimental data and model results shows a high correlation coefficient (R2RSM = 0.99 and R2ANN = 0.98) and showed that the two models predicted MB removal indicating WH can be used as an adsorbent for color removal from dye wastewater.
Highlights
Dyes are one of the important materials used in the industries like textile, plastic, leather, food and paper and effluents are characterised by high content of colour and organic content
All the combinations of the variable parameters were used for modelling the artificial neural network (ANN)
It was analysed for removal prediction from response surface methodology (RSM) software
Summary
Dyes are one of the important materials used in the industries like textile, plastic, leather, food and paper and effluents are characterised by high content of colour and organic content. The wide use of synthetic dye in textile industry has resulted into a major water pollutant. It is estimated that about 15% of dye material is lost during manufacturing and processing operation (Anwar et al, 2015) from industries like paper, plastic, rubber, leather, food, and textile (Chowdhury et al, 2011). Carcinogenic, non biodegradable and stay in the environment for a longer period. Among different dyes classification cationic dyes are of highest toxicity. Methylene blue (MB), a cationic dye is used in the application of biology, chemistry, and dying industries. The removal of MB from the effluents is need of the time and there is a need of an efficient method for removal before being discharged into the environment
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