Sustainable and Intelligent Process Control of Pollutant Separation and Purification

A special issue of Separations (ISSN 2297-8739). This special issue belongs to the section "Purification Technology".

Deadline for manuscript submissions: 10 February 2026 | Viewed by 660

Special Issue Editors


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Guest Editor
Biogas Institute of Ministry of Agriculture and Rural Affairs (BIOMA), Chinese Academy of Agricultural Sciences, No. 13 Section 4, South Renmin Rd., Chengdu 610041, China
Interests: environmental biotechnology; pollutant purification and treatment; bioelectrochemical treatment and intelligent processes; environmental microbiology engineering; integrated device design
Special Issues, Collections and Topics in MDPI journals
College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, China
Interests: membrane separation materials, separation and purification of organic contaminants in soil; advanced oxidation technologies; removal of organic halogenated by-products and emerging pollutants in complex aquatic environments; multi-environmental adaptability of pollutant degrading bacteria

Special Issue Information

Dear Colleagues,

Research on the sustainable and intelligent process control of pollutant treatment and purification technology, bioelectrochemical removal, chemical catalysis and distribution, traceability, and the ecological toxicology of typical and new emerging pollutants in the polluted environments is currently one of the most attractive research topics in this field. The key to promoting the development of this field lies in exploring sustainable and efficient pollution control and prevention technologies, as well as gaining a deeper understanding of the biological or chemical behavior of pollutants in these processes. However, when choosing control strategies and treatment methods, careful consideration must be given to their scientific validity and feasibility in order to achieve desirable performance and minimize the cost. The analysis and optimization of the factors affecting systems and their applications is a relevant step in determining the performance of the sustainable treatment and purification of typical and new emerging pollutants.

Based on this, we sincerely invite you to contribute to this Special Issue, sharing research articles, results, or professional comments on the development and application of environmental chemistry, biological technology, metabolic mechanisms and pollutant regulation, artificial intelligence control, and ecological toxicology, as well as pollutant purification applications.

Dr. Nuan Yang
Dr. Bing Yang
Guest Editors

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Keywords

  • antibiotic degradation
  • artificial intelligence
  • biological purification technology
  • ecological toxicology
  • environmental catalyst
  • low-carbon pathway
  • microbe–environment interactions
  • new emerging pollutants
  • pollutant purification
  • soil remediation
  • waste treatment

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Published Papers (1 paper)

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Review

24 pages, 1936 KB  
Review
Artificial Intelligence in Chemical Dosing for Wastewater Purification and Treatment: Current Trends and Future Perspectives
by Jie Jin, Ming Liu, Boyu Chen, Xuanbei Wu, Ling Yao, Yan Wang, Xia Xiong, Luoyu Wei, Jiang Li, Qifeng Tan, Dingrui Fan, Yibo Du, Yunhui Lei and Nuan Yang
Separations 2025, 12(9), 237; https://doi.org/10.3390/separations12090237 - 3 Sep 2025
Viewed by 518
Abstract
Recent concerns regarding artificial intelligent (AI) technologies have spurred studies into improving wastewater treatment efficiency and identifying low-carbon processes. Treating one cubic meter of wastewater necessarily consumes a certain amount of chemicals and energy. Approximately 20% of the total chemical consumption is attributed [...] Read more.
Recent concerns regarding artificial intelligent (AI) technologies have spurred studies into improving wastewater treatment efficiency and identifying low-carbon processes. Treating one cubic meter of wastewater necessarily consumes a certain amount of chemicals and energy. Approximately 20% of the total chemical consumption is attributed to phosphorus and nitrogen removal, with the exact proportion varying based on treatment quality and facility size. To promote sustainability in wastewater treatment plants (WWTPs), there has been a shift from traditional control systems to AI-based strategies. Research in this area has demonstrated notable improvements in wastewater treatment efficiency. This review provides an extensive overview of the literature published over the past decades, aiming to advance the ongoing discourse on enhancing both the efficiency and sustainability of chemical dosing systems in WWTPs. It focuses on AI-based approaches utilizing algorithms such as neural networks and fuzzy logic. The review encompasses AI-based wastewater treatment processes: parameter analysis/forecasting, model development, and process optimization. Moreover, it summarizes six promising areas of AI-based chemical dosing, including acid–base regents, coagulants/flocculants, disinfectants/disinfection by-products (DBPs) management, external carbon sources, phosphorus removal regents, and adsorbents. Finally, the study concludes that significant challenges remain in deploying AI models beyond simulated environments to real-world applications. Full article
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