Article ; Online: Fluorescence spectroscopy in the detection and management of disinfection by-product precursors in drinking water treatment processes: A review.
2023 Volume 343, Page(s) 140269
Abstract: Monitoring and prevention of the formation of disinfection by-products (DBPs) is paramount in drinking water treatment plants (DWTP) to ensure human health safety. This review provides an overview of how fluorescence techniques are developed to predict ... ...
| Abstract | Monitoring and prevention of the formation of disinfection by-products (DBPs) is paramount in drinking water treatment plants (DWTP) to ensure human health safety. This review provides an overview of how fluorescence techniques are developed to predict DBP formation and to evaluate the reduction of fluorescence components and DBPs following individual DWTP processes. Evidence has shown that common DBPs, nitrogenous DBPs and specific emerging DBPs exhibit positive linear relationships with terrestrial, anthropogenic, tryptophan-like, and eutrophic humic-like fluorescence. Due to the interrelationships of both regulated and emerging DBP types with fluorescence components, the limitations arise when attempting to predict emerging DBPs solely through linear relationships. Monitoring the reduction of DBP precursors after each treatment process can be achieved by studying the relationship between fluorescence components and DBPs. During the coagulation process, highest reduction rates are observed for terrestrial humic-like fluorescence. Advanced treatments such as granular, powdered, silver-impregnated activated carbon, magnetic ion exchange resins, and reverse osmosis, have revealed a significant reduction of fluorescent DBP precursors, ranging from 53% to 100%. During chlorination, the reduction rate follows the order: terrestrial humic-like > microbial humic-like > protein/tryptophan-like fluorescence. This review provides insights into the reduction of fluorescence signatures following individual DWTP processes, which offers information regarding DBP formation. These insights could assist in optimizing the treatment process to more effectively manage DBP formation. For the identification of emerging DBP generation, the utilization of advanced models is imperative to precisely predict emerging DBPs and to more accurately trace DBP precursors within DWTPs. |
|---|---|
| Language | English |
| Publishing date | 2023-09-23 |
| Publishing country | England |
| Document type | Journal Article ; Review |
| ZDB-ID | 120089-6 |
| ISSN | 1879-1298 ; 0045-6535 ; 0366-7111 |
| ISSN (online) | 1879-1298 |
| ISSN | 0045-6535 ; 0366-7111 |
| DOI | 10.1016/j.chemosphere.2023.140269 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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