Biosorption of nickel, chromium and zinc by MerP-expressing recombinant Escherichia coli

Kao, Wei Chen; Huang, Chieh-Chen; Chang, Jo‐Shu

doi:10.1016/j.jhazmat.2008.01.032

Cited by 60 publications

(13 citation statements)

References 43 publications

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“…The microbial isolates showed varying degree of tolerance to aqueous heavy metal salts using plate diffusion method at different concentration as shown in figures 1-4. Kao et al (2008) carried out similar work when him and his team used a MerP expressing recombinant Escherichia coli which originated from Gram-positive (B. cereus) and Gram-negative (Pseudomonas sp.) were used to adsorb Nickel, Zinc and Chromate in aqueous solution (Kao et al, 2008).…”

Section: Resultsmentioning

confidence: 99%

“…Kao et al (2008) carried out similar work when him and his team used a MerP expressing recombinant Escherichia coli which originated from Gram-positive (B. cereus) and Gram-negative (Pseudomonas sp.) were used to adsorb Nickel, Zinc and Chromate in aqueous solution (Kao et al, 2008). Figure 1 showed the minimum inhibitory concentration (MIC) of each of the bacterial isolates to aqueous solution of Cu 2 SO 4 with Bm, Bs, Pf and Pp having the same MIC value of 2 ± 1.5 µg/ml while Bc and Fa had MIC values of 13 ± 1.3 µg/mL and 25 ± 2.1 µg/mL respectively.…”

Section: Resultsmentioning

confidence: 99%

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Metalotolerance Capacity of Autochthonous Bacteria Isolated From Industrial Waste Effluent

Majolagbe

Adebayo

Ayandele

et al. 2017

Annals of Science and Technology

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Microbes play significant roles in remediation of heavy metal polluted industrial effluent using the mechanisms of biosorption and bioaccumulation. In the present study, six heavy metal resistant autochthonous bacteria species namely Bacillus cereus, B. megaterium, B. subtilis, Flavobacterium aquatile, Pseudomonas flourescens and Pseudomonas putida were isolated from effluent samples collected from Paper-mill industry (PMI), Paints and Chemicals Industry (PCI), and Steel-rolling Industry (SRI). The isolates were studied for their heavy metal tolerant capacities at different aqueous salt concentrations. Elemental analysis of the industrial effluent samples collected indicated the presence of heavy metals such as Copper (Cu ) at varying concentrations in µg/ml. Generally, there were variations in the minimum inhibitory concentrations (MIC) of the heavy metal salt to each of the bacteria understudy. The MIC value of each of the bacterial isolates to aqueous solution of Cu 2 SO 4 showed that B. megaterium, B. subtilis, Pseudomonas flourescens and Pseudomonas putida had the same MIC value of 20 ± 1.5 µg/mL while Bacillus cereus and Flavobacterium aquatile had MIC values of 13 ± 1.3 µg/mL and 25 ± 2.1 µg/mL respectively. This variation was also noticeable in aqueous salts of Mn 2 SO 4 , Fe 2 SO 4 and Pb 2 SO 4. The bacteria isolates showed sensitivity to heavy metals with increasing zone of inhibition as concentration increased with each isolate showing varying degree of metalotolerance. The effectiveness of the autochthonous bacteria as a means to bio-augment the remediation of heavy metal polluted industrial effluent was further proven and recommended.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Metalotolerance Capacity of Autochthonous Bacteria Isolated From Industrial Waste Effluent

Majolagbe

Adebayo

Ayandele

et al. 2017

Annals of Science and Technology

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“…Activated sludge is a good sorbent of copper ions (Volesky and Holan 1995;Veglio and Beolchini 1997;Al-Qodah 2006;Wang and Chen 2009). Each species of microorganisms is characterized by different properties; however, the general removal of metal ions from solution takes only few seconds (Wang and Chen 2006;Pamukoglu and Kargi 2007;Kao et al 2008). In soils, cadmium ions can be adsorbed by binding with different structures; they react with hydroxyl, sulfhydryl and thiol groups, and humic and fulvic acids (Vig et al 2003).…”

Section: Explanation Of the Observed Resultsmentioning

confidence: 99%

“…2, 3). Additionally, steady state in a water solution with different biosorbents can be reached after only a few minutes (Veglio and Beolchini 1997;AlQodah 2006;Wang and Chen 2006;Kao et al 2008;Wang and Chen 2009). After that, the external concentration is lower and can be approximated by subtracting the internal concentration at steady state (b in ) from C 0 .…”

Section: Model Design and Derivationmentioning

confidence: 99%

“…Furthermore, the biosorption of heavy metals and their transport through cell membranes have been extensively studied (Veglio and Beolchini 1997;Al-Qodah 2006;Wang and Chen 2006;Kao et al 2008;Wang and Chen 2009). Certain chemicals, such as heavy metal ions, can inactivate dehydrogenases (Masciandaro et al 2000;Obbard 2001a, b;Kizilkaya Electronic supplementary material The online version of this article (doi:10.1007/s10646-016-1650-x) contains supplementary material, which is available to authorized users.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of toxicity using dehydrogenases activity and mathematical modeling

et al. 2016

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Dehydrogenase activity is frequently used to assess the general condition of microorganisms in soil and activated sludge. Many studies have investigated the inhibition of dehydrogenase activity by various compounds, including heavy metal ions. However, the time after which the measurements are carried out is often chosen arbitrarily. Thus, it can be difficult to estimate how the toxic effects of compounds vary during the reaction and when the maximum of the effect would be reached. Hence, the aim of this study was to create simple and useful mathematical model describing changes in dehydrogenase activity during exposure to substances that inactivate enzymes. Our model is based on the Lagergrens pseudo-first-order equation, the rate of chemical reactions, enzyme activity, and inactivation and was created to describe short-term changes in dehydrogenase activity. The main assumption of our model is that toxic substances cause irreversible inactivation of enzyme units. The model is able to predict the maximum direct toxic effect (MDTE) and the time to reach this maximum (TMDTE). In order to validate our model, we present two examples: inactivation of dehydrogenase in microorganisms in soil and activated sludge. The model was applied successfully for cadmium and copper ions. Our results indicate that the predicted MDTE and TMDTE are more appropriate than EC50 and IC50 for toxicity assessments, except for long exposure times.

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Prospects for Immobilization of Microbial Sorbents on Carbon Nanotubes for Biosorption: Bioremediation of Heavy Metals Polluted Water

Fosso‐Kankeu

Mulaba‐Bafubiandi

Mishra

2014

Application of Nanotechnology in Water Research

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Biosorption of nickel, chromium and zinc by MerP-expressing recombinant Escherichia coli

Cited by 60 publications

References 43 publications

Metalotolerance Capacity of Autochthonous Bacteria Isolated From Industrial Waste Effluent

Metalotolerance Capacity of Autochthonous Bacteria Isolated From Industrial Waste Effluent

Assessment of toxicity using dehydrogenases activity and mathematical modeling

Prospects for Immobilization of Microbial Sorbents on Carbon Nanotubes for Biosorption: Bioremediation of Heavy Metals Polluted Water

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