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Updated: Apr 7, 2026

Laboratory Simulation of an IronII-rich Precambrian Marine Upwelling System to Explore the Growth of Photosynthetic Bacteria
Published on: July 24, 2016
Assessing chromate reduction by dissimilatory iron reducing bacteria using mathematical modeling.
Lai Peng1, Yiwen Liu1, Shu-Hong Gao1
1Advanced Water Management Centre, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia.
Chromate (Cr (VI)) contamination can be reduced to less hazardous Cr (III) using iron-reducing bacteria. A combined microbial and chemical reduction model accurately predicted Cr (VI) removal, highlighting dual pathways.
Area of Science:
- Environmental microbiology
- Biogeochemistry
- Chemical engineering
Background:
- Chromate (Cr (VI)) is a widespread environmental contaminant in soil and groundwater.
- Reduction to trivalent chromium (Cr (III)) mitigates its toxicity.
- Dissimilatory iron-reducing bacteria (IRB) offer a promising approach for Cr (VI) remediation.
Purpose of the Study:
- To develop and compare mathematical models for Cr (VI) reduction pathways.
- To investigate the performance of an IRB-based reactor for Cr (VI) treatment.
- To elucidate the interplay between microbial and chemical reduction mechanisms.
Main Methods:
- Development of three mathematical models: chemical reduction, microbial reduction, and combined biotic-abiotic reduction.
- Simulation of an IRB-based stirred-flow reactor treating Cr (VI) contaminated medium.
- Model validation using experimental data under varying conditions.
Main Results:
- The model incorporating both chemical and microbial Cr (VI) reduction pathways accurately predicted experimental data.
- Single-pathway models failed to capture the system's performance.
- The two-pathway model's validity was confirmed by independent experimental results.
- Organic carbon availability and Cr (VI) loading rates influenced the relative contribution of each pathway.
Conclusions:
- Both microbial and chemical pathways are crucial for Cr (VI) reduction mediated by IRB.
- A combined biotic-abiotic reduction model is essential for accurate system prediction.
- Reactor performance is sensitive to operational parameters like carbon source and Cr (VI) concentration.
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