Characterization of lower Phong river dissolved organic matters and formations of unknown chlorine dioxide and chlorine disinfection by-products by Orbitrap mass spectrometry
Graphical abstract
Introduction
Natural dissolved organic matter (NOM) is a complex mixture of organic matter contained in natural water resources. As it is one of the main constituents in raw (untreated) water entering water treatment plants (WTPs), NOM characteristics have been widely studied using numerous methods and tools (Matilainen et al., 2011). NOM is harmless, but it is refractory and problematic to water treatment processes (Jacangelo et al., 1995). In addition, NOM especially dissolved NOM remains in conventional water treatment until water disinfection. In recent years, the emergence of synthetic organic compounds in aquatic environments has become a global issue and raised concerns about the aquatic environment. A wide variety of emerging organic pollutants (EOPs) especially pharmaceutically active compounds (PhACs) and endocrine-disturbing compounds (EDCs) have been reported in surface waters and groundwater at various concentrations ranging from nanogram to microgram per liter (Ternes, 1998; Kolpin et al., 2002; Nakada et al., 2007; Liu and Wong, 2013; Carmona et al., 2014). This pollution increases the complexity of dissolved organic matter (DOM) in natural water resources, and less than 10% of DOM have been characterized by traditional methods (Sleighter and Hatcher, 2008). Additionally, the reactions between chlorine and EOPs produces chlorinated pollutants of increasing complexity and potential toxicity (Bedner and MacCrehan, 2006; Kamel et al., 2009; Kosaka et al., 2016; Kamata et al., 2017).
Water disinfection is one of the main treatment processes in all water treatment plants. Chlorine has been used globally in WTPs as a water disinfectant for several decades due to its capabilities for disinfection (Akin et al., 1982) and oxidation (taste and odor control) at low construction and operational costs. In addition, chlorine can remain in distribution systems to the point of use to maintain disinfection efficiency in the pipeline. However, reactions between NOM and chlorine form halogenated compounds, disinfection byproducts (DBPs), several of which are regulated as toxic substances (Richardson et al., 2007; Deborde and von Gunten, 2008). Even if several disinfectants were proposed and applied as alternatives to chlorine, those disinfectants still generate specific DBPs, and the health impacts of a large portion of those DBPs are still unknown (Amy et al., 2000). Several types of common DBPs such as trihalomethanes (THMs), haloacetic acids (HAAs), and haloacetronitriles have been proven genotoxic or carcinogenic (Richardson et al., 2007) and have been regulated in tap water quality standards worldwide (WHO, 2008). With awareness on the health effects of DBPs, alternative disinfectants have been widely used, such as chloramines, ozone, and chlorine dioxide, as they produce less of those toxic DBPs (Amy et al., 2000; Zhang et al., 2000; Hua and Reckhow, 2007; Han and Zhang, 2018; Gilca et al., 2020). The byproducts of chlorine dioxide (ClO2) include chlorite and chlorate, which have very low THMs and HAAs compared to other disinfectants (Amy et al., 2000). However, the formations of organic halogens by use of chlorine dioxide with organic compounds have been reported (Zhang et al., 2000; Han et al., 2017) and reviewed (Gilca et al., 2020). Furthermore, Hua and Reckhow (2007) reported that over 80% of chlorine dioxide halogenated DBPs are still unknown, and those unknowns would be highly polar DBPs (Richardson and Postigo, 2011).
Unknown or non-target screening analysis by high resolution and accurate mass spectrometry (HRAM-MS) has been widely used to analyze complex DOM in aquatic environments (Sleighter and Hatcher, 2008; Sleighter et al., 2008; Gonsior et al., 2011; Urai et al., 2014; Lavonen et al., 2015; Pan et al., 2020; Zhang et al., 2020a, 2020b). With high resolution, several thousand or up to ten thousand DOM peaks can be obtained in a single analysis. Highly accurate mass to charge (m/z) DOM peaks could be sufficient to estimate chemical formulae, which could provide useful information in the understanding of DOM characteristics (Kim et al., 2003) such as hydrogen to carbon (H/C) and oxygen to carbon (O/C) ratios observed in a Van Krevelen diagram (Van Krevelen, 1950), degree of unsaturation ([DBE–O]/C) (Phungsai et al., 2018) and degree of oxidation (carbon oxidation state, Cos) (Kroll et al., 2011). This information provides details on the changes in DOM profile within water resources (Tremblay et al., 2007; Urai et al., 2014; Yuthawong et al., 2017) and is widely used in characterizing DOM changes that occur as a result of water treatments (Gonsior et al., 2014; Lavonen et al., 2015; Phungsai et al., 2018, 2019, 2021; Phatthalung et al., 2020; Rakruam et al., 2021). In addition, detection of unknown DBPs formed during water chlorination is possible by this unknown screening technique (Lavonen et al., 2013; Gonsior et al., 2014; Phungsai et al., 2018, 2019; Rakruam et al., 2021). Detection of unknown DBPs could reveal the fates of putative precursors by different treatment processes (Phungsai et al., 2016, 2018).
This research investigated changes in molecular DOM from water sources to the tap by unknown screening analysis using Orbitrap mass spectrometry. Water samples were collected from the lower Phong River, Thailand, widely utilized for industrial, agriculture, fisheries, and drinking water and receives multiple treated and untreated discharges. DOM compositions and molecular characteristics along the river were investigated during summer and after the first rain. Unknown DBP formation by chlorination and chlorine dioxide disinfection of upstream and downstream water samples were analyzed, and changes in molecular characteristics were investigated in a semiquantitative manner.
Section snippets
Water sampling
Water samples were collected at 12 points along the lower Phong River, Khon Kaen, Thailand (as shown in Appendices A [SI], Table A.1 and Figs. A.1 and A.2). The samplings were finished within 12 h. The river is one of the main rivers in the region used for some industries, agriculture area along with the whole river, and raw water supply for several WTPs and receives numerous discharges along its length (Fig. A.2). The origin of the river is the discharge from the Ubonrat dam, which separates
General water parameters
Average water temperatures were 33.2 and 32.2 °C in April and June, respectively, and dissolved oxygen (DO) levels were 6.6 and 5.8 mg O2/L, respectively (Table A.2). DO within the river provided enough oxygen for biodegradation of organic matter. Average DOC concentrations and SUVA levels in the lower Phong River were 6.28 and 6.36 mg C/L and 1.89 and 1.72 L/mg-m in April and June, respectively, (Fig. 1). Overall, SUVA levels below 3 indicate that before and after the first rainfall, the DOM
Conclusions
DOM profiles along with water sources (lower Phong River) to the tap were investigated by unknown screening analysis using Orbitrap mass spectrometry. Over 2000 DOM features were found in the river samples which were dominated by CHO features followed by CHON, CHOS, and CHONS. Over 80% of DOM features were commonly detected in summer and after the rainy season’s first rainfall. By Van Krevelen diagrams, lignin-like molecules were found to be the most abundant class followed by lipid-like,
CRediT author statement
Thirawit Prasert: Formal analysis, Software, Investigation, Writing - Original Draft, and Visualization, Yoshihiro Ishii: Investigation, Validation, Writing - Review & Editing, and Resources. Futoshi Kurisu: Writing - Review & Editing, Supervision, and Resources. Charongpun Musikavong: Conceptualization, Writing - Review & Editing, and Supervision. Phanwatt Phungsai: Conceptualization, Methodology, Software, Validation, Formal analysis, Writing - Original Draft, Writing - Review & Editing,
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.
Acknowledgments
This research was funded and supported by The Thailand Research Fund (Grant number: MRG6280018) from theOffice of the Higher Education Commission, Thailand and Overseas Research Grant (Grant number:20Pth002) from Kurita Water and Environment Foundation, Japan. We also would like to acknowledge Synchrotron Light Research Institute (Public Organization) for non-targeted analysis.
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