Literature DB >> 22014510

Comparing the tolerance limits of selected bacterial and protozoan species to nickel in wastewater systems.

I Kamika1, M N B Momba.   

Abstract

Heavy-metal resistant microorganisms play a significant role in the treatment of industrial wastewater. The detoxifying ability of these resistant microorganisms can be manipulated for bioremediation of heavy metals in wastewater systems. This study aimed at comparing the tolerance limit of selected wastewater protozoan species (Aspidisca sp., Trachelophyllum sp. and Peranema sp.) against Ni(2+) with that of selected bacterial species (Bacillus licheniformis-ATCC12759, Brevibacillus laterosporus-ATCC64 and Pseudomonas putida-ATCC31483) commonly found in wastewater systems. The isolates were exposed to various concentrations of Ni(2+) in mixed liquor and their tolerance to Ni(2+) assessed at different temperatures (25°C, 30°C, 35°C and 40°C) and pHs (4, 6, 7, 8 and 10). The physicochemical parameters such as chemical oxygen demand (COD) and dissolved oxygen (DO) of the media and the growth rates of the isolates were measured using standard methods. In terms of their minimum inhibitory concentrations (MIC), the results revealed that the isolates could tolerate Ni(2+) at concentrations ranging between 32 and 52ppm for protozoa and between 52 and 84ppm for bacteria. B. licheniformis-ATCC12759 was the most tolerant bacterial species (MIC: 84ppm-Ni(2+)) while Peranema sp. was the most tolerant protozoan species (MIC: 52ppm-Ni(2+)). At 10 and/or 20ppm-Ni(2+) the growth of B. licheniformis-ATCC12759 (6.30 days(-1) for 10 and 5.73 days(-1) for 20ppm-Ni(2+)), P. putida-ATCC31483 (6.02 days(-1) for 10 and 5.31 days(-1) for 20ppm-Ni(2+)) and Peranema sp. (2.15 days(-1) for 10ppm-Ni(2+)) was stimulated after one day of incubation. Statistical evidence showed significant differences (p=0.0065) between the MIC of the six isolates and positive correlations between COD and the growth rates of isolates (r=0.8999/0.8810 for bacteria/protozoa). The tolerance limit of all isolates was significantly dependent on the pH and the temperature. The study suggests that these isolates can be used for the bioremediation of nickel in industrial wastewater systems. Copyright Â
© 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22014510     DOI: 10.1016/j.scitotenv.2011.09.060

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Seasonal variation of nutrient loads in treated wastewater effluents and receiving water bodies in Sedibeng and Soshanguve, South Africa.

Authors:  G Z Teklehaimanot; I Kamika; M A A Coetzee; M N B Momba
Journal:  Environ Monit Assess       Date:  2015-08-27       Impact factor: 2.513

2.  Effect of nickel on nutrient removal by selected indigenous protozoan species in wastewater systems.

Authors:  Ilunga Kamika; Maggy N B Momba
Journal:  Saudi J Biol Sci       Date:  2014-09-28       Impact factor: 4.219

Review 3.  Brevibacillus laterosporus, a Pathogen of Invertebrates and a Broad-Spectrum Antimicrobial Species.

Authors:  Luca Ruiu
Journal:  Insects       Date:  2013-09-05       Impact factor: 2.769

4.  The impact of microbial ecology and chemical profile on the enhanced biological phosphorus removal (EBPR) process: a case study of Northern Wastewater Treatment Works, Johannesburg.

Authors:  Ilunga Kamika; Martie Coetzee; Bhekie Brilliance Mamba; Titus Msagati; Maggy N B Momba
Journal:  Int J Environ Res Public Health       Date:  2014-03-10       Impact factor: 3.390

5.  Assessing the resistance and bioremediation ability of selected bacterial and protozoan species to heavy metals in metal-rich industrial wastewater.

Authors:  Ilunga Kamika; Maggy N B Momba
Journal:  BMC Microbiol       Date:  2013-02-06       Impact factor: 3.605

6.  Microbial diversity of Emalahleni mine water in South Africa and tolerance ability of the predominant organism to vanadium and nickel.

Authors:  Ilunga Kamika; Maggie N B Momba
Journal:  PLoS One       Date:  2014-01-22       Impact factor: 3.240

  6 in total

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