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NOM fractionation by HPSEC-DAD-OCD for predicting trihalomethane disinfection by-product formation potential in full-scale drinking water treatment plants.

Authors :
Valenti-Quiroga M
Daunis-I-Estadella P
Emiliano P
Valero F
Martin MJ
Source :
Water research [Water Res] 2022 Dec 01; Vol. 227, pp. 119314. Date of Electronic Publication: 2022 Oct 31.
Publication Year :
2022

Abstract

Chlorination is a common method for water disinfection; however, it leads to the formation of disinfection by-products (DBPs), which are undesirable toxic pollutants. To prevent their formation, it is crucial to understand the reactivity of natural organic matter (NOM), which is considered a dominant precursor of DBPs. We propose a novel size exclusion chromatography (SEC) approach to evaluate NOM reactivity and the formation potential of total trihalomethanes-formation potentials (tTHMs-FP) and four regulated species (i.e. CHCl <subscript>3,</subscript> CHBrCl <subscript>2,</subscript> CHBr <subscript>2</subscript> Cl, and CHBr <subscript>3</subscript> ). This method combines enhanced SEC separation with two analytical columns working in tandem and quantification of apparent molecular weight (AMW) NOM fractions using C content (organic carbon detector, OCD), 254-nm spectroscopic (diode-array detector, DAD) measurements, and spectral slopes at low (S <subscript>206-240</subscript> ) and high (S <subscript>350-380</subscript> ) wavelengths. Links between THMs-FP and NOM fractions from high performance size exclusion chromatography HPSEC-DAD-OCD were investigated using statistical modelling with multiple linear regressions for samples taken alongside conventional full-scale as well as full- and pilot-scale electrodialysis reversal and bench-scale ion exchange resins. The proposed models revealed promising correlations between the AMW NOM fractions and the THMs-FP. Methodological changes increased fractionated signal correlations relative to bulk regressions, especially in the proposed HPSEC-DAD-OCD method. Furthermore, spectroscopic models based on fractionated signals are presented, providing a promising approach to predict THMs-FP simultaneously considering the effect of the dominant THMs precursors, NOM and Br <superscript>-</superscript> .<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022. Published by Elsevier Ltd.)

Details

Language :
English
ISSN :
1879-2448
Volume :
227
Database :
MEDLINE
Journal :
Water research
Publication Type :
Academic Journal
Accession number :
36351350
Full Text :
https://doi.org/10.1016/j.watres.2022.119314