Exoelectrogenic bacteria
(EEB) play important roles in biogeochemical
cycling, environmental remediation, wastewater treatment, and bioenergy
recovery. Methods for effectively and rapidly probing the abundance
of EEB in environments are highly desirable. In this work, a novel
approach that couples WO3 nanoclusters and the most probable
number (MPN) method for rapid detection and enumeration of EEB was
developed. This WO3–MPN approach allowed rapid and
reliable estimation of the population size of two typical EEB, Shewanella oneidensis MR-1 and Geobacter sulfurreducens DL-1. In addition, it was successfully applied to detect and count
EEB in environmental samples from the sediments of a freshwater lake
(9.9 × 104 to 4.1 × 106 cells/g of
dry sediment) and engineered samples of a municipal wastewater treatment
plant (1.0 × 103 to 7.5 × 105 cells/mL).
This work may facilitate better identification and practical applications
of EEB in natural and engineered environments.
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