Chlorination-induced spread of antibiotic resistance genes in drinking water systems

Water Research, Journal Year: 2025, Volume and Issue: 274, P. 123092 - 123092

Published: Jan. 4, 2025

Chlorine, the most widely utilized disinfectant for drinking water globally, has recently been implicated in facilitating spread of antibiotic resistance genes (ARGs), raising concerns about its underestimated environmental and ecological risks. However, given current fragmented research focus results, a comprehensive understanding potential mechanisms influencing factors behind chlorination-promoted ARGs transmission systems is crucial. This work first to systematically review variations abundance, mechanisms, factors, mitigation strategies related during chlorination process. The results indicated that could induce genetic mutations promote horizontal gene transfer through multiple pathways, including increased reactive oxygen species, enhanced membrane permeability, stimulation SOS response, activation efflux pumps. In addition, this delves into significant discoveries regarding affecting ARG water, such as chlorine concentration, reaction time, disinfection byproducts, pipe materials, biofilms, matrix. A series effective from source point-of-use were proposed aimed at mitigating risks system. Finally, we address existing challenges outline future directions overcome these bottlenecks. Overall, aims advance our role dissemination inspire innovative ideas optimizing techniques, minimizing transmission, enhancing safety water.

Language: Английский

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Natural pyrite and ascorbic acid co-enhance periodate activation for inactivation of antibiotic resistant bacteria and inhibition of resistance genes transmission: A green disinfection process dominated by singlet oxygen

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 477, P. 135217 - 135217

Published: July 18, 2024

Language: Английский

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Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

Catalysts, Journal Year: 2024, Volume and Issue: 14(4), P. 217 - 217

Published: March 22, 2024

Photocatalysts have made great contributions to the degradation of pollutants achieve environmental purification. The traditional method developing new photocatalysts is design and perform a large number experiments continuously try obtain efficient that can degrade pollutants, which time-consuming, costly, does not necessarily best performance photocatalyst. rapid development photocatalysis has been accelerated by artificial intelligence. Intelligent algorithms be utilized predict photocatalytic performance, resulting in reduction time cost catalysts. In this paper, intelligent for photocatalyst prediction are reviewed, especially neural network model optimized an algorithm. A detailed discussion given on advantages disadvantages model, as well its application algorithms. use challenging long term due lack suitable models predicting photocatalysts. aided combination various optimization models, but it only useful early stages. used their promising technology.

Language: Английский

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Transformative Intelligence

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 323 - 338

Published: March 7, 2025

This chapter explores the pivotal role of Artificial Intelligence in revolutionizing wastewater treatment. Fuzzy Logic Controllers adeptly handle incomplete data, and Neural Networks (ANNs) model intricate processes, while Neuro-Fuzzy Systems seamlessly integrate fuzzy logic ANNs for superior water disinfection control. State observers elevate concentration estimation accuracy, metaheuristic algorithms such as PSO ABC optimize control processes. AI-driven Fault Detection Isolation enhance safety operations. Beyond control, AI shapes intelligent management smart cities energy-saving strategies, providing a versatile framework tackling complexities. In conclusion, emphasizes significance algorithms, highlighting their adaptability efficiency transformative landscape integration not only ensures operational efficacy but also sets stage sustainable environmental management, it is enhanced with internet things.

Language: Английский

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Effects of heating temperature and water age on the formation of disinfection by-products in drinking water

Environmental Science Water Research & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

A kinetic model was proposed to predict DBP concentrations in drinking water heated at different temperatures with varying ages.

Language: Английский

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Training for the test: Using multi-objective training to improve ANN ensemble forecasts of household residual chlorine in emergencies

PLOS Water, Journal Year: 2025, Volume and Issue: 4(4), P. e0000307 - e0000307

Published: April 17, 2025

Ensuring that sufficient free residual chlorine (FRC) persist in drinking water throughout the post-distribution period (collection, transport, and household storage) is critical to keeping safe emergencies. Probabilistic models like artificial neural network (ANN) ensemble forecasting systems (EFS) have potential reproduce high variability decay generate risk-based chlorination guidance, but training with symmetrical error cost functions mean squared leads poor probabilistic performance. This research proposes multi-objective (MO) improve performance of ANN-EFS forecasts FRC. Four MO optimizers were tested combinations seven objective evaluated using quality datasets from five emergency settings. substantially improved over conventional training. The solution provided most consistent improvement used preference-based optimization via backpropagation following objectives: similarity mean, variance, skew, correlation, recall, precision. approach achieved at all sites outperformed baseline comparisons. These will help humanitarian responders set informed targets ensure remains up point-of-consumption. highlights importance tailoring approaches ANN applications hydroinformatics more broadly.

Language: Английский

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A machine learning based framework to tailor properties of nanofiltration and reverse osmosis membranes for targeted removal of organic micropollutants

Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122677 - 122677

Published: Oct. 20, 2024

Language: Английский

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Applications of Machine Learning in Drinking Water Quality Management: A Critical Review on Water Distribution System

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 481, P. 144171 - 144171

Published: Nov. 1, 2024

Language: Английский

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Analyzing the impact of artificial intelligence on operational efficiency in wastewater treatment: a comprehensive neutrosophic AHP-based SWOT analysis

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(38), P. 51000 - 51024

Published: Aug. 6, 2024

Language: Английский

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Synthesis of activated carbon-supported nano copper oxide and its inactivation performance on Escherichia coli in water

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 497, P. 154735 - 154735

Published: Aug. 10, 2024

Language: Английский

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