Experimental study reveals wavelength-controlled switching of reactive species in dithionite systems degrades carbamazepine and perfluorooctanoic acid, highlighting pathways for targeted water...
Advanced reduction processes (ARPs) offer a promising alternative for degrading contaminants that are resistant to oxidation. However, dithionite (DTN)-activated ARPs have rarely been studied, and the underlying mechanisms of radical generation are not well elucidated. In this study, we systematically investigated how irradiation wavelength regulates reactive species formation in dithionite-based ARPs and consequently controls pollutant-specific degradation pathways. By comparing UV 310 , UV 254 , and VUV irradiation conditions, the transition between SO 2 •- -dominated and e aq - -dominated reduction pathways were elucidated, providing a mechanistic framework for wavelength-controlled contaminant removal. Radical quenching and ESR analyses revealed that SO 2 •⁻ dominated under UV 254 irradiation, whereas hydrated electrons (e aq - ) dominated under VUV irradiation, leading to different degradation mechanisms. In the UV 254 /DTN system, carbamazepine (CBZ) was rapidly degraded (> 90% in 20 min), while perfluorooctanoic acid (PFOA) removal remained below 10%. In contrast, the VUV/DTN system achieved complete PFOA degradation within 120 min with 56% defluorination, while CBZ was almost completely degraded within only 5 min. The monochloroacetic acid (MCAA) probe results showed that the large difference in PFOA degradation was due to different e aq - yields. The steady-state concentration of e aq - was 0.342 pM in the VUV/DTN system but only 0.03 pM in the UV 254 /DTN system. Water matrix constituents, particularly carbonate and natural organic matter, preferentially inhibited e aq - -driven pathways. These results establish a wavelength-controlled framework linking reactive species formation (SO 2 •⁻ versus e aq - ) to pollutant-selective degradation in DTN-based advanced reduction processes, providing a mechanistic basis for the process-oriented design of reduction technologies.
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Tian et al. (2026) studied this question.
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