Faculty Publications
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Publications by NITK Faculty
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Item ANN & regresssion analysis based predictions of BOD5 & COD for refinery wastewater(2007) Rene, E.R.; Saidutta, M.B.Industrial wastewater quality is indicated by several physico-chemical and biological parameters. If a Suitable correlation is established between them, some difficult and not instantaneously available parameters can be easily predicted. Such correlations are traditionally achieved by regression analysis. However, non-linear fluctuations are not easily represented by these correlations. Models based on artificial neural networks (ANNs) are fast emerging as an alternative tool to predict and forecast water quality parameters based on a well-defined set of training data that are easily available. The present study reports the correlations for BOD5 and COD with TOC for a refinery wastewater. Additionally, 12 ANN based models were developed to forecast the BOD5 and COD by considering other water quality indices as the input data. The results from this study indicate that ANNs are simple and reliable, under adequately trained conditions.Item Solar assisted photocatalytic degradation of organic pollutants in the presence of biogenic fluorescent ZnS nanocolloids(Elsevier Ltd, 2019) Uddandarao, P.; Hingnekar, T.A.; Mohan Balakrishnan, R.M.; Rene, E.R.The main aim of this study was to ascertain the photocatalytic degradation of organic pollutants present in aqueous phase using fluorescent biogenic ZnS nanocolloids produced from an endophytic fungus Aspergillus flavus. The degradation studies were carried out using different organic pollutants such as methyl violet (MV), 2,4-dichlorophenoxyacetic acid (2,4-D) and paracetamol (PARA) for 120 min, 270 min and 240 min, respectively, at pH varying from 3.0 to 11.0. The results from this study indicate that the degradation efficiency of ZnS nanocolloids for MV, 2,4-D and PARA were 87%, 33% and 51%, respectively, at the optimum concentration of 100 mg/L of the tested organic pollutants. At different time intervals, the samples were analyzed for their chemical oxygen demand (COD) and total organic carbon (TOC) contents. The reduction of COD and TOC were 78% and 74% for MV at 120 min; 55.5% and 57.2% for 2,4-D at 270 min and 47.6% and 44.5% for PARA at 240 min, respectively. The degradation pathway was determined based on the mass spectrum and the intermediates formed; in addition, the interaction between organic pollutants and nanocolloids was also elucidated based on atomic force microscopy (AFM) and fluorescence spectrum. © 2019 Elsevier Ltd