Rapid Detection and Enumeration of Exoelectrogenic Bacteria in Lake Sediments and a Wastewater Treatment Plant Using a Coupled WO3 Nanoclusters and Most Probable Number Method

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• 作者：Zong-Chuang Yang ; Yuan-Yuan Cheng ; Feng Zhang ; Bing-Bing Li ; Yang Mu ; Wen-Wei Li ; Han-Qing Yu
• 刊名：Environmental Science & Technology Letters
• 出版年：2016
• 出版时间：April 12, 2016
• 年：2016
• 卷：3
• 期：4
• 页码：133-137
• 全文大小：265K
• 年卷期：0

文摘

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.