Statistical modelling and optimization of substrate composition for bacterial growth and cadmium removal using response surface methodology-Reference-Cited by-同舟云学术

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Statistical modelling and optimization of substrate composition for bacterial growth and cadmium removal using response surface methodology

Published:2011-12 Issue:12 Volume:37 Page:2076-2081
ISSN:0925-8574
Container-title:Ecological Engineering
language:en
Short-container-title:Ecological Engineering

Author:

Bhatia Divya,Kumar Rajender,Singh Rajesh,Chadetrik Rout,Bishnoi Narsi R.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Environmental Engineering

Reference23 articles.

1. Metal Ions and Bacteria;Beveridge,1989

2. Fungus: an-alternative for bioremediation of heavy metal containing wastewater: a review;Bishnoi;J. Sci. Ind. Res.,2005

3. Biosorption of metals (Cu2+, Zn2+) and anions (F−, H2PO4−) by viable and autoclaved cells of the Gram-negative bacterium Shewanella putrefaciens;Chubar;Colloid Surf. B: Biointerfaces,2008

4. Response surface methodology for process parameter optimization of hydrogen yield by the metabolically engineered strain Escherichia coli DJT135;Ghosh;Bioresour. Technol.,2010

5. Removal and recovery of Cu(II) and Zn(II) using immobilized Mentha arvensis distillation waste biomass;Hanif;Ecol. Eng.,2009

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1. Optimization of Heavy Metals Biosorption via Artificial Neural Network: A Case Study of Cobalt (II) Sorption by Pseudomonas alcaliphila NEWG-2;Frontiers in Microbiology;2022-05-31

2. Optimization study for Pb(II) and COD sequestration by consortium of sulphate-reducing bacteria;Applied Water Science;2016-04-06

3. Copper, lead and zinc removal from metal-contaminated wastewater by adsorption onto agricultural wastes;Environmental Technology;2015-06-17

4. Clinoptilolite nano-particles modified with aspartic acid for removal of Cu(ii) from aqueous solutions: isotherms and kinetic aspects;New Journal of Chemistry;2015

5. Metal and dye removal using fungal consortium from mixed waste stream: Optimization and validation;Ecological Engineering;2014-08

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