Long Lifetime and High Reusability of Water Toxicity Determination Based on Electrochemically Active Bacteria

IF 7.4 Q1 ENGINEERING, ENVIRONMENTAL
Yue Yi, Yuxin Feng, Xuemei Yi, Fan Zha, Zikai Hao, Dandan Yu, Hong Liu, Yanhong Ge* and Aiqin Luo*, 
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引用次数: 0

Abstract

Toxicity determination based on electrochemically active bacteria (EAB) shows great prospects for early warning of water pollution. However, the lifetime and reusability of EAB in toxicity determination remain uncertain. This study performed continuous toxicity determination by using an automatic water toxicity determination system based on EAB. Results demonstrated that EAB are capable of rapid responses to common heavy metal pollutants and make a full recovery after refreshment. Despite changes in microbial communities, EAB maintain a similar current generation capacity and toxicity sensitivity even after 20 continuous toxicity tests. The main reason for the stable performance was unchanged gene functions, as the toxicity tests did not result in a decrease in genes related to current generation or an increase in genes related to resistance. This study first reported that EAB possess a prolonged lifetime and good reusability in water toxicity determination, providing a basis for the continuous determination for water toxicity and the online monitoring of industrial wastewater toxicity based on EAB.

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来源期刊
ACS ES&T engineering
ACS ES&T engineering ENGINEERING, ENVIRONMENTAL-
CiteScore
8.50
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0.00%
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0
期刊介绍: ACS ES&T Engineering publishes impactful research and review articles across all realms of environmental technology and engineering, employing a rigorous peer-review process. As a specialized journal, it aims to provide an international platform for research and innovation, inviting contributions on materials technologies, processes, data analytics, and engineering systems that can effectively manage, protect, and remediate air, water, and soil quality, as well as treat wastes and recover resources. The journal encourages research that supports informed decision-making within complex engineered systems and is grounded in mechanistic science and analytics, describing intricate environmental engineering systems. It considers papers presenting novel advancements, spanning from laboratory discovery to field-based application. However, case or demonstration studies lacking significant scientific advancements and technological innovations are not within its scope. Contributions containing experimental and/or theoretical methods, rooted in engineering principles and integrated with knowledge from other disciplines, are welcomed.
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