Screening and identification of bacteria isolated from industrial area groundwater to study lead sorption: Kinetics and statistical optimization of biosorption parameters
Autor: | Nideghatta Beeregowda Krishnamurthy, Blessy Baby Mathew |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Environmental Engineering biology Industrial area Geography Planning and Development Biosorption 010501 environmental sciences Contamination Pulp and paper industry biology.organism_classification 01 natural sciences Acinetobacter baumannii 03 medical and health sciences 030104 developmental biology Lead (geology) Environmental Chemistry Environmental science Response surface methodology Bacteria Groundwater 0105 earth and related environmental sciences Water Science and Technology |
Zdroj: | Groundwater for Sustainable Development. 7:313-327 |
ISSN: | 2352-801X |
Popis: | Lead contamination in groundwater has raised serious health concerns. The traditional technologies available for lead removal are having several shortcomings. Hence, biosorption is considered as a potential eco-friendly alternative to the existing methods. In the present work, several ground water samples were collected from different lead contaminated regions of III and IV phase of Peenya industrial area from Bengaluru district of Karnataka, India. These ground water samples were used as a source to isolate bacteria with distinct morphological characteristics which were identified as Bacillus toyonensis SCE1, Bacillus anthracis SCE2, Acinetobacter baumannii SCE3, Bacillus toyonensis SCE4 and Bacillus toyonensis SCE5 that were tested for their biosorption properties. The interactive effect of initial lead concentration versus contact time was studied using Response Surface Methodology (RSM) while the biosorbent dosage was kept constant. The biosorption kinetics was investigated for the isolates and the results studies indicated that the biosorption charted pseudo-second order kinetic model and it provided the best fit for the bacterial species for lead biosorption. |
Databáze: | OpenAIRE |
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