Biodegradation and decolourization of textile dye wastewater using Ganoderma lucidum

Abstract

In this work, treatment of textile dye wastewater was carried in a batch reactor using Ganoderma lucidum. The characteristics of textile dye wastewater were studied. The effect of process parameters like pH, temperature, agitation speed and dye wastewater concentration on dye decolourization and degradation were studied. These parameters were optimized using response surface methodology (RSM). From the results, the optimized conditions were: pH 6.6, temperature 26.5 °C, agitation speed 200 rpm and dye wastewater concentration 1:2. At these optimized conditions, the maximum decolourization and COD reduction were found to be 81.4 and 90.3 %. Kinetic studies were carried out using different models like first-order, diffusional and Singh model. From the results, it was found that the degradation follows the first-order reaction model.

Production of Cellulase in Submerged Fermentation using Water Hyacinth as Carbon Source and Reutilization of Spent Fungal Biomass for Dye Degradation

“…Similar dye de-colorization was observed by fungal isolates from dye industry waste (Selvakumar et al, 2013). The present results clearly demonstrated the dye degradation potential of isolated fungus and confirmed the ability of spent fungal biomass for dye de-colourization after cellulase enzyme production.…”

“…The de-colorization of dye corresponds to the dye degradation potential of the fungal biomass. The dye degradation (%) was measured using a spectrophotometer at a wavelength of 395 nm (Selvakumar et al, 2013).…”

La<sub>2</sub>O<sub>3</sub>/Fe<sub>2</sub>O<sub>3</sub>-CeO<sub>2</sub> Composite Oxide Catalyst and Its Performance

“…Therefore, the treatment and emission reduction of dyeing wastewater are urgent for improving the quality of water environment. Photocatalytic technology is a good application prospect in the fields of environmental purification, solar energy utilization and self-cleaning [1] [2] [3].…”

Simulation of a conventional water treatment plant for the minimization of new emerging pollutants in drinking water sources: process optimization using response surface methodology

“…23 Although many studies have been reported for the removal of specic NEPs using RSM for process optimization, no studies have monitored the removal of turbidity and TOC during the removal of NEPs. [24][25][26][27] These two parameters are also crucial when the studies are conducted for the drinking water purposes. Therefore, in the present study, we aimed to identify the nontargeted NEPs present in the river water samples and also to assess their removal along with the turbidity and TOC by optimizing the pH, PAC, and activated carbon and Cl 2 concentrations.…”