2003
DOI: 10.1002/bit.10575
|View full text |Cite
|
Sign up to set email alerts
|

Quantification of toxic and inhibitory impact of copper and zinc on mixed cultures of sulfate‐reducing bacteria

Abstract: The adverse effects of copper and zinc on an acetate-utilizing mixed cultures of sulfate-reducing bacteria (SRB) at concentrations below the toxic concentration (minimum metal concentration at which no sulfate reduction is observed) are reported in this paper. Mathematical models were developed to incorporate the toxic and inhibitory effects (defined as the reduction in bacterial population upon exposure to the metal and the decrease in the metabolic rate of sulfate reduction by the SRB, respectively) into the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
57
0
5

Year Published

2006
2006
2022
2022

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 128 publications
(68 citation statements)
references
References 27 publications
5
57
0
5
Order By: Relevance
“…Furthermore it was noted that among various ZnO powders used in the experiment, powder ZnO:TFA 1:1 was the most effective against E. coli and S. aureus when the visible light was available (log red 2.88 and 4.62, respectively). Based on the studies performed by others [27][28][29][30][31], it is believed that when the light is not available, the primary toxic effect of ZnO on microorganisms can be associated with the release of zinc ions causing disruption of the cell membrane activity and the formation of intercellular reactive oxygen species, mostly H 2 O 2 [32][33][34][35][36][37]. Photocatalysts such as TiO 2 or ZnO activated by UV or/and visible light (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore it was noted that among various ZnO powders used in the experiment, powder ZnO:TFA 1:1 was the most effective against E. coli and S. aureus when the visible light was available (log red 2.88 and 4.62, respectively). Based on the studies performed by others [27][28][29][30][31], it is believed that when the light is not available, the primary toxic effect of ZnO on microorganisms can be associated with the release of zinc ions causing disruption of the cell membrane activity and the formation of intercellular reactive oxygen species, mostly H 2 O 2 [32][33][34][35][36][37]. Photocatalysts such as TiO 2 or ZnO activated by UV or/and visible light (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…As these populations are expected to function in environments that are affected by mixed wastes, the presence of toxic heavy metals and nitrates that cooccur at sites such as the FRC (13, 47) could potentially limit their activities. For example, Desulfovibrio desulfuricans G20, a model organism for immobilization of metals as metal sulfides, has been shown to be susceptible to micromolar concentrations of heavy metals, including Cu(II), Zn(II), and Pb(II) (52), while mixed cultures of sulfate reducers were inhibited by Cr(VI) (53), Cu(II), and Zn(II) (60). Likewise, some heavy metals, including Cr(VI), have also been shown to negatively affect the growth of Shewanella spp., which have been studied for their role in immobilizing metals and radionuclides by reduction to insoluble forms (62).…”
Section: Vol 72 2006 Horizontal Gene Transfer Of P Ib -Type Atpasesmentioning
confidence: 99%
“…However, higher concentrations result in severe reduction of microbial activity, which is reflected by reduction of the apparent growth rate and increase in lag time. Heavy metal toxicity on microorganisms has been modeled previously by Utgikar et al (2003) who studied the effects of Cu and Zn ions toxicity on sulfate-reducing bacteria. The authors considered constant biomass batch reactors (no net growth), and expressed initial cell death as a decreasing function of the heavy metal concentration.…”
Section: Introductionmentioning
confidence: 99%
“…The authors considered constant biomass batch reactors (no net growth), and expressed initial cell death as a decreasing function of the heavy metal concentration. However, the authors (Utgikar et al, 2003) did not consider lag in degradation kinetics. Markwiese and Colberg (2000) have proposed a nonlinear regression model relating the lag time for an Iron-Reducing bacteria, but their work is mostly relevant for heavy-metal contaminated anaerobic sedimentary environments.…”
Section: Introductionmentioning
confidence: 99%