Innovative Approaches for Minimizing Disinfection Byproducts (DBPs) in Water Treatment: Challenges and Trends
Source abstract
Abstract
Growing concerns over public health and environmental safety have intensified the focus on minimizing harmful disinfection byproducts (DBPs) in water treatment. Traditional methods like chlorination, while effective against pathogens, often lead to the formation of DBPs, which pose significant risks. This paper explores alternative strategies to reducing DBP formation while ensuring effective disinfection. The methodology involved a bibliographic study conducted through the Scopus platform, using appropriate keywords. The initial search yielded 9576 articles from the period 2020 to 2024. The key approaches identified include advanced oxidation processes (AOPs) such as UV/H2O2 and ozone, which mineralize natural organic matter (NOM) and minimize chemical use and sludge production; membrane-based filtration systems, like reverse osmosis, effectively removing contaminants without chemical disinfectants, reducing DBP risks. Furthermore, conventional processes, such as coagulation and filtration, serve as crucial pretreatment steps to lower NOM levels before disinfection. Additionally, optimizing chlorine dosing, using non-chlorine disinfectants, and employing post-disinfection methods like adsorption and biological filtration further mitigate DBP formation. Finally, the integration of artificial intelligence in process optimization is emerging as a promising tool for enhancing treatment efficiency and safety. This research contributes to the development of safer, more sustainable water treatment solutions, addressing regulatory demands and public health objectives.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Water Treatment and Disinfection · Wastewater Treatment and Reuse
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Financial and Management Engineering, School of Engineering, University of Aegean, 41 Kountourioti Str., GR-82132 Chios, Greece
Department of Marine Sciences, Faculty of the Environment, University of the Aegean, GR-81100 Mytilene, Greece
Laboratory of Geoenvironmental Science and Environmental Quality Assurance, Department of Civil Engineering, School of Engineering, University of West Attica, 250 Thivon & P. Ralli Str., GR-12241 Athens, Greece
References (92)
Show source-provided references
1. Traditional Methods and Biosensors for Detecting Disinfection By-Products in Water: A Review10.1016/j.envres.2023.116935 ↗
2. Degradation of Chlortoluron during UV Irradiation and UV/Chlorine Processes and Formation of Disinfection by-Products in Sequential Chlorination10.1016/j.cej.2015.07.074 ↗
3. Effects of Ozone Dose on Brominated DBPs in Subsequent Chlor(Am)Ination: A Comprehensive Study of Aliphatic, Alicyclic and Aromatic DBPs10.1016/j.watres.2023.121039 ↗
4. Chlor(Am)Ination of Iopamidol: Kinetics, Pathways and Disinfection by-Products Formation10.1016/j.chemosphere.2017.06.012 ↗
5. The Screening of Disinfection By-Products in Large and Small Water Systems in Greece10.5004/dwt.2017.0352 ↗
6. Chlorination Disinfection By-Products in Municipal Drinking Water—A Review10.1016/j.jclepro.2020.123159 ↗
7. Control of Aliphatic Halogenated DBP Precursors with Multiple Drinking Water Treatment Processes: Formation Potential and Integrated Toxicity10.1016/j.jes.2017.03.028 ↗
8. Removal of Disinfection By-Product Precursors in Drinking Water Treatment Processes: Is Fluorescence Parallel Factor Analysis a Promising Indicator?10.1016/j.jhazmat.2021.126298 ↗
9. Recent Progress in Identification of Water Disinfection Byproducts and Opportunities for Future Research10.1016/j.envpol.2023.122601 ↗
10. Tafvizi, H., Chowdhury, S., and Husain, T. (2021). Low Cost Activated Carbon for Removal of NOM and DBPs: Optimization and Comparison. Water, 13.10.3390/w13162244 ↗
11. Minimization of the Formation of Disinfection By-Products10.1016/j.chemosphere.2012.04.025 ↗
12. Pressure–Driven Membrane Filtration Technology for Terminal Control of Organic DBPs: A Review10.1016/j.scitotenv.2023.166751 ↗
13. Screening and Estimating of Toxicity Formation with Photobacterium Bioassay during Chlorine Disinfection of Wastewater10.1016/j.jhazmat.2006.07.001 ↗
14. Disinfection By-Product (DBP) Research in China: Are We on the Track?10.1016/j.jes.2021.03.023 ↗
15. Gui, X., Zhang, H., Ji, B., Ma, J., Xu, M., Li, Y., and Yan, M. (2022). Study on the Control of Dichloroacetonitrile Generation by Two-Point Influent Activated Carbon-Quartz Sand Biofilter. Membranes, 12.10.3390/membranes12020137 ↗
16. Water Analysis: Emerging Contaminants and Current Issues10.1021/acs.analchem.7b04577 ↗
17. EC (European Community) Council (2020). Directive (EU) 2020/2184 of the European Parliament and of the Council of 16 December 2020 on the Quality of Water Intended for Human Consumption (Recast) (Text with EEA Relevance), European Community.
18. A Review on the 40th Anniversary of the First Regulation of Drinking Water Disinfection By-Products10.1002/em.22378 ↗
19. Nitrosamines and Water10.1016/j.jhazmat.2011.02.005 ↗
20. Riyadh, A., and Peleato, N.M. (2024). Natural Organic Matter Character in Drinking Water Distribution Systems: A Review of Impacts on Water Quality and Characterization Techniques. Water, 16.10.3390/w16030446 ↗
21. Mustereț, C.P., Morosanu, I., Ciobanu, R., Plavan, O., Gherghel, A., Al-Refai, M., Roman, I., and Teodosiu, C. (2021). Assessment of Coagulation–Flocculation Process Efficiency for the Natural Organic Matter Removal in Drinking Water Treatment. Water, 13.10.3390/w13213073 ↗
22. Disinfection Byproduct Formation Resulting from Settled, Filtered, and Finished Water Treated by Titanium Dioxide Photocatalysis10.1016/j.chemosphere.2014.05.073 ↗
23. Pulicharla, R., Proulx, F., Behmel, S., Sérodes, J.-B., and Rodriguez, M.J. (2020). Trends in Ozonation Disinfection By-Products—Occurrence, Analysis and Toxicity of Carboxylic Acids. Water, 12.10.3390/w12030756 ↗
24. Karwowska, B., and Sperczyńska, E. (2022). Organic Matter and Heavy Metal Ions Removal from Surface Water in Processes of Oxidation with Ozone, UV Irradiation, Coagulation and Adsorption. Water, 14.10.3390/w14223763 ↗
25. Poleneni, S.R., Inniss, E., Shi, H., Yang, J., Hua, B., and Clamp, J. (2019). Enhanced Flocculation Using Drinking Water Treatment Plant Sedimentation Residual Solids. Water, 11.10.3390/w11091821 ↗
26. A Comparison of Pilot-Scale Photocatalysis and Enhanced Coagulation for Disinfection Byproduct Mitigation10.1016/j.watres.2009.01.010 ↗
27. Sriboonnak, S., Induvesa, P., Wattanachira, S., Rakruam, P., Siyasukh, A., Pumas, C., Wongrueng, A., and Khan, E. (2021). Trihalomethanes in Water Supply System and Water Distribution Networks. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph18179066 ↗
28. Nonhalogenated Aromatic DBPs in Drinking Water Chlorination: A Gap between NOM and Halogenated Aromatic DBPs10.1021/acs.est.9b06403 ↗
29. Latif, S., Alim, M.A., Rahman, A., and Haque, M.M. (2023). A Review on Chlorination of Harvested Rainwater. Water, 15.10.3390/w15152816 ↗
30. Removal Assessment of Disinfection By-Products (DBPs) from Drinking Water Supplies by Solar Heterogeneous Photocatalysis: A Case Study of Trihalomethanes (THMs)10.1016/j.jenvman.2022.115936 ↗
31. Suquet, J., Godo-Pla, L., Valentí, M., Verdaguer, M., Martin, M.J., Poch, M., and Monclús, H. (2020). Development of an Environmental Decision Support System for Enhanced Coagulation in Drinking Water Production. Water, 12.10.3390/w12082115 ↗
32. Exploring Impacts of Water-Extractable Organic Matter on Pre-Ozonation Followed by Nanofiltration Process: Insights from pH Variations on DBPs Formation10.1016/j.scitotenv.2023.162695 ↗
33. Evaluation of Nanofiltration and Reverse Osmosis Membranes for Efficient Rejection of Organic Micropollutants10.1016/j.memsci.2023.122357 ↗
34. MIEX Resin and Enhanced Coagulation Treatment of High-Bromide Natural Water: Chlorine Reactivity and DBP Precursors Removal10.1016/j.jece.2023.111497 ↗
35. Transformation Products of Pharmaceuticals in Surface Waters and Wastewater Formed during Photolysis and Advanced Oxidation Processes—Degradation, Elucidation of Byproducts and Assessment of Their Biological Potency10.1016/j.chemosphere.2011.06.082 ↗
36. Lofrano, G., Ubaldi, F., Albarano, L., Carotenuto, M., Vaiano, V., Valeriani, F., Libralato, G., Gianfranceschi, G., Fratoddi, I., and Meric, S. (2022). Antimicrobial Effectiveness of Innovative Photocatalysts: A Review. Nanomaterials, 12.10.3390/nano12162831 ↗
37. Sun, Z., Chen, Z., Chung Lan Mow, M.C., Liao, X., Wei, X., Ma, G., Wang, X., and Yu, H. (2024). Chloramine Disinfection of Levofloxacin and Sulfaphenazole: Unraveling Novel Disinfection Byproducts and Elucidating Formation Mechanisms for an Enhanced Understanding of Water Treatment. Molecules, 29.10.3390/molecules29020396 ↗
38. von Tradeoff between Micropollutant Abatement and Bromate Formation during Ozonation of Concentrates from Nanofiltration and Reverse Osmosis Processes10.1016/j.watres.2022.118785 ↗
39. Zhu, X., Hao, C., Zhang, M., and Lan, B. (2023). Enhanced Adsorption of Bromoform onto Microplastic Polyethylene Terephthalate Exposed to Ozonation and Chlorination. Molecules, 28.10.3390/molecules28010259 ↗
40. Wang, C., Ying, Z., Ma, M., Huo, M., and Yang, W. (2019). Degradation of Micropollutants by UV–Chlorine Treatment in Reclaimed Water: pH Effects, Formation of Disinfectant Byproducts, and Toxicity Assay. Water, 11.10.3390/w11122639 ↗
41. Approaching Easy Water Disinfection for All: Can in Situ Electrochlorination Outperform Conventional Chlorination under Realistic Conditions?10.1016/j.watres.2023.121014 ↗
42. Ballesteros, M., Brindley, C., Sánchez-Pérez, J.A., and Fernández-Ibañez, P. (2021). Worldwide Research Trends on Solar-Driven Water Disinfection. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph18179396 ↗
43. Progress on Mechanism and Efficacy of Heterogeneous Photocatalysis Coupled Oxidant Activation as an Advanced Oxidation Process for Water Decontamination10.1016/j.watres.2024.121119 ↗
44. A Comprehensive Appraisal on Status and Management of Remediation of DBPs by TiO2 Based-Photocatalysts: Insights of Technology, Performance and Energy Efficiency10.1016/j.jenvman.2022.117011 ↗
45. Asteris, P.G., Alexakis, D.E., Tsoukalas, M.Z., Gamvroula, D.E., and Guney, D. (2023). Machine Learning Approach for Rapid Estimation of Five-Day Biochemical Oxygen Demand in Wastewater. Water, 15.10.3390/w15010103 ↗
46. Non-Targeted Spatially Offset Raman Spectroscopy-Based Vanguard Analytical Method to Authenticate Spirits: White Tequilas as a Case Study10.1016/j.microc.2022.108126 ↗
47. Developing and Validating a Clinlabomics-Based Machine-Learning Model for Early Detection of Retinal Detachment in Patients with High Myopia10.1186/s12967-024-05131-9 ↗
48. Artificial Intelligence-Based Techniques for Adulteration and Defect Detections in Food and Agricultural Industry: A Review
49. Xu, Z., Pan, Z., Wang, Y., Zhang, Y., and Leng, P. (2024). Research on a Machine Learning-Based Adaptive and Efficient Screening Model for Psychological Symptoms of Community Correctional Prisoners. Sci. Rep., 14.10.1038/s41598-024-60181-9 ↗
50. Quality Assessment and Prediction of Municipal Drinking Water Using Water Quality Index and Artificial Neural Network: A Case Study of Wuhan, Central China, from 2013 to 201910.1016/j.scitotenv.2022.157096 ↗
51. Models for Predicting Disinfection Byproduct (DBP) Formation in Drinking Waters: A Chronological Review10.1016/j.scitotenv.2009.04.006 ↗
52. Models for Predicting Carbonaceous Disinfection By-Products Formation in Drinking Water Treatment Plants: A Case Study of South Korea10.1007/s11356-019-05490-7 ↗
53. Radial Basis Function Artificial Neural Network (RBF ANN) as Well as the Hybrid Method of RBF ANN and Grey Relational Analysis Able to Well Predict Trihalomethanes Levels in Tap Water10.1016/j.jhydrol.2020.125574 ↗
54. Appraisal of Machine Learning Techniques for Predicting Emerging Disinfection Byproducts in Small Water Distribution Networks10.1016/j.jhazmat.2022.130633 ↗
55. The Insightful Water Quality Analysis and Predictive Model Establishment via Machine Learning in Dual-Source Drinking Water Distribution System10.1016/j.envres.2024.118474 ↗
56. Predicting the Formation of Disinfection By-Products Using Multiple Linear and Machine Learning Regression10.1016/j.jece.2023.110612 ↗
57. Benchmarking Empirical Models for THMs Formation in Drinking Water Systems: An Application for Decision Support in Barcelona, Spain10.1016/j.scitotenv.2020.144197 ↗
58. Disinfection By-Product Formation Following Chlorination of Drinking Water: Artificial Neural Network Models and Changes in Speciation with Treatment10.1016/j.scitotenv.2010.05.040 ↗
59. Regression Models Evaluating THMs, HAAs and HANs Formation upon Chloramination of Source Water Collected from Yangtze River Delta Region, China10.1016/j.ecoenv.2018.05.038 ↗
60. Enhanced Coagulation for Mitigation of Disinfection By-Product Precursors: A Review10.1016/j.cis.2021.102518 ↗
61. Dosing Low-Level Ferrous Iron in Coagulation Enhances the Removal of Micropollutants, Chlorite and Chlorate during Advanced Water Treatment10.1016/j.jes.2022.03.022 ↗
62. Tri-Protonated Ferrate: A Novel Electro-Synthesised Pre-Oxidant/Coagulant for NOM and DBP Precursors Removal in Drinking Water Production10.1016/j.jwpe.2023.104570 ↗
63. Removal of Disinfection Byproducts and Their Precursors during Drinking Water Treatment Processes10.1002/wer.1263 ↗
64. Oxidative Treatment of NOM by Selective Oxidants in Drinking Water Treatment and Its Impact on DBP Formation in Postchlorination10.1016/j.scitotenv.2022.159908 ↗
65. Anion-Exchange Resin Adsorption Followed by Electrolysis: A New Disinfection Approach to Control Halogenated Disinfection Byproducts in Drinking Water10.1016/j.watres.2019.115144 ↗
66. Recent Advances in Carbon Nanomaterial-Based Adsorbents for Water Purification10.1016/j.ccr.2019.213111 ↗
67. Insights into Graphene Oxide/Ferrihydrite Adsorption as Pretreatment during Ultrafiltration: Membrane Fouling Mitigation and Disinfection by-Product Control10.1016/j.jhazmat.2022.129098 ↗
68. Treating Water Containing Elevated Bromide and Iodide Levels with Granular Activated Carbon and Free Chlorine: Impacts on Disinfection Byproduct Formation and Calculated Toxicity10.1039/D0EW00523A ↗
69. In-Situ, Facile and Green Preparation of Nanoscale Silver Supported on Activated Carbon: Disinfection Properties and Removal of Inorganic DBPs from Drinking Water
70. Cytotoxicity Comparison between Drinking Water Treated by Chlorination with Postchloramination versus Granular Activated Carbon (GAC) with Postchlorination10.1021/acs.est.3c03591 ↗
71. Hydrolyzed Polyacrylonitrile UF-Membrane for Surface and TAP Water Treatment: Influence on DBPs Formation and Removal10.1016/j.cej.2023.144314 ↗
72. Removal of Carbonaceous and Nitrogenous Disinfection By-Product Precursors in Biological Activated Carbon Process of Drinking Water: Is Service Life a Pivotal Factor?10.1016/j.cej.2023.142875 ↗
73. Comparative Investigation of Known and Unknown Disinfection By-Product Precursor Removal and Microbial Community from Biological Biochar and Activated Carbon Filters10.1016/j.watres.2024.121994 ↗
74. Control of Chlorination Disinfection By-Products in Drinking Water by Combined Nanofiltration Process: A Case Study with Trihalomethanes and Haloacetic Acids10.1016/j.chemosphere.2024.142121 ↗
75. Effects of Pre-Oxidation by Ozone, Permanganate and Ferrate on Generation and Toxicities of Disinfection Byproducts
76. Efficiency of Pre-Oxidation of Natural Organic Matter for the Mitigation of Disinfection Byproducts: Electron Donating Capacity and UV Absorbance as Surrogate Parameters10.1016/j.watres.2020.116418 ↗
77. Alternative Application of Preformed Monochloramine as a Drinking Water Disinfectant for Redosing in Long Drinking Water Distribution System Servicing Remote Locations10.1016/j.watres.2020.116083 ↗
78. A Balancing Act: Optimizing Free Chlorine Contact Time to Minimize Iodo-DBPs, NDMA, and Regulated DBPs in Chloraminated Drinking Water10.1016/j.jes.2022.05.024 ↗
79. Comparative Study of UV/Chlorine and VUV/Chlorine as Ultrafiltration Membrane Pretreatment Techniques: Performance, Mechanisms and DBPs Formation10.1016/j.jhazmat.2023.132249 ↗
80. Mechanism, Kinetics and DBPs Formation of UV/NH2Cl Process on Sulfathiazole Removal in Aqueous Solution10.1016/j.wri.2023.100221 ↗
81. Is Monochloramine Pre-Oxidation a Viable Strategy for Enhancing the Treatment Efficiency of Algae-Laden Water with Conventional Drinking Water Treatment Process?10.1016/j.chemosphere.2024.141312 ↗
82. Comparison of Chlorine and Chlorine Dioxide Disinfection in Drinking Water: Evaluation of Disinfection Byproduct Formation under Equal Disinfection Efficiency10.1016/j.watres.2024.121932 ↗
83. Investigating the Suitability of Online Flow Cytometry for Monitoring Full-Scale Drinking Water Ozone System Disinfection Effectiveness10.1016/j.watres.2024.121702 ↗
84. Simultaneous Rational Design of Ion Separation Membranes and Processes10.1016/j.memsci.2020.117860 ↗
85. Hybrid Modeling of Cross-Flow Filtration: Predicting the Flux Evolution and Duration of Ultrafiltration Processes10.1016/j.seppur.2020.117064 ↗
86. Modeling and Simulation of an Intelligent System for Dosage Control of Post-Chlorination in Water Treatment Plants10.1590/s1413-41522020173961 ↗
87. Artificial Intelligence Simulation of Water Treatment Using a Novel Bimodal Micromesoporous Nanocomposite10.1016/j.molliq.2021.117296 ↗
88. Prediction of the Optimal Dosage of Coagulants in Water Treatment Plants through Developing Models Based on Artificial Neural Network Fuzzy Inference System (ANFIS)10.1007/s40201-021-00710-0 ↗
89. An Efficient Neural Network Model for Aiding the Coagulation Process of Water Treatment Plants10.1007/s10668-021-01483-0 ↗
90. Artificial Intelligence for Performance Prediction of Organic Solvent Nanofiltration Membranes10.1016/j.memsci.2020.118513 ↗
91. Setshedi, K., Mutingwende, N., and Ngqwala, N. (2021). The Use of Artificial Neural Networks to Predict the Physicochemical Characteristics of Water Quality in Three District Municipalities, Eastern Cape Province, South Africa. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph18105248 ↗
92. Joint Majorization of Waterworks and Secondary Chlorination Points Considering the Chloric Odor and Economic Investment in the DWDS Using Machine Learning and Optimization Algorithms10.1016/j.watres.2022.118595 ↗