This study investigates bioremediation of copper using copper-resistant bacteria, Stenotrophomonas maltophilia PD2. Living micro-organism was used to remove copper from aqueous solution. The influence of different parameters on bioremediation by S. maltophilia PD2, such as initial copper concentration and initial pH, contact time of the solution was studied. Response surface methodology (RSM) was applied for the optimization of the process parameters responsible for the bioremediation of copper ion effect and to evaluate the effects and interactions of the process variables. Based on the statistics analysis the optimum condition was found at pH 5.50, copper concentration 50.00 mg L-1, contact time 26.00 h and the copper removal was 90%. The optimization procedure of bioremediation showed a close interaction between the experimental and simulated values of copper removal. © 2013 Elsevier Ltd. All rights reserved.

A GHOSH

P D SAHA

University of Calcutta (informally known as Calcutta University or CU) is a collegiate public state university located in Kolkata, West Bengal, India.&nbsp;Within India it is recognized as a &quot;Five-Star University&quot; and accredited &quot;A&quot; Grade by National Assessment and Accreditation Council.

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The University of Calcutta has secured the Fifth position among the Universities of India in the prestigious &quot;Indian University Ranking 2019&quot; list, released by the NIRF of the Ministry of Human Resource Development, Government of India.

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It was established on 24 January 1857, and was one of the first institutions in Asia to be established as a multidisciplinary and Western-style university. Its alumni and faculty include several heads of state, heads of government, social reformers, prominent artists, only academy award winner and Dirac medal winner in India, many Fellows of the Royal Society and five Nobel laureates as of 2019 which is highest in South Asia.

University Of Calcutta

Journal of Environmental Chemical Engineering

A two level three factor (23) central composite design (CCD) was applied for optimization of the selected biodegradation process variables, i.e. initial solution pH (4–8), initial dye concentration (150–400 mg L−1), and time consumed for degradation (14–48 h) for studying the biodegradation of Congo red (CR) and Indigo carmine (IC) using the isolated novel bacterial strain, Dietzia sp. PD1. This is the first report of dye degradation for the genus Dietzia obtained so far. The optimum dye degradation efficiency of Dietzia sp. PD1, obtained from RSM modeling for CR, was found to be 99.97% (at 177.63 mg L−1 of initial dye concentration at pH 5.56 for 42.64 h) and for IC it was found to be 99.95% (at pH 5.85, concentration of dye 135.62 mg L−1 and time 43.29 h) at temperature 303 K and stirring speed 150 rpm. A strong correlation existed between the input process variables and the output parameter for degradation of dye using Artificial Neural Network (ANN). The model developed using Response Surface Methodology (RSM) and ANN showed a close interaction (% deviation ~ 0.6%) with the experimental values for both the dye degradation. The ability of the isolated Dietzia sp. PD1 for degrading two dyes of different chemical structure and properties endorses the possibility of applying it for the treatment of real industrial effluent bearing a mixture of different dyes. © 2015 Balaban Desalination Publications. All rights reserved.

Desalination and Water Treatment

Biodegradation of two Azo dyes using Dietzia sp. PD1: process optimization using Response Surface Methodology and Artificial Neural Network

Optimization of copper bioremediation by Stenotrophomonas maltophilia PD2

Bioresource Technology

Investigation of Cr(VI) adsorption onto chemically treated Helianthus annuus: Optimization using Response Surface Methodology

Optimization of removal conditions of copper ions from aqueous solutions by Trametes versicolor

CLEAN - Soil, Air, Water

A Study of the Thermodynamics and Kinetics of Copper Adsorption Using Chemically Modified Rice Husk

Chemical Engineering Journal

Application of response surface methodology for optimization of cadmium biosorption in an aqueous solution by Saccharomyces cerevisiae

Journal	Journal of Environmental Chemical Engineering
Publisher	-
ISSN	2213-3437