Dissolved organic matter (DOM) controls the degradation and sequestration of aquatic pollutants and, in turn, water quality. In particular, pollutant degradation is performed by oxidant species that are generated by exposure of DOM to solar light, yet, since DOM is a very complex mixture of poorly known substances, the relationships between potential oxidant precursors in DOM and their oxydative capacity is poorly known. Here, we hypothesized that production of oxidant species could be predicted using fluorescence analysis. We analysed water samples from an alluvial plain by fluorescence spectroscopy; the three-dimensional spectra were then decomposed into seven individual components using a multi-way algorithm. Components include a protein-like fluorophore, e.g. tryptophan-like and tyrosine-like, three humic fluorophores, 2-naphthoxyacetic acid, and a by-product. We compared component levels with the ability of water samples to generate reactive species under solar light. The results show a strong correlation between reactive species production and the intensity of two humic-like fluorophores assigned to reduced quinones. Monitoring these fluorophores should thus allow to predict the ability of DOM degradation of pollutants in surface waters.
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Dissolved organic matter (DOM) encompasses ubiquitous natural components able to generate oxidant species under solar light exposure and thus to degrade aquatic pollutants in surface waters. Previous works have shown that the capacity of DOM to generate reactive species under solar irradiation could be predicted measuring its absorbance properties (Dalrymple et al 2010; Mckay et al. 2017; Peterson et al. 2012; Palma et al. 2020). Previous works also suggested that correlations may exist between DOM photoreactivity and fluorescence parameters (Coelho et al. 2011) or individual fluorescent components identified by deconvolution of the three-dimensional spectra by parallel factor analysis (PARAFAC, Timko et al. 2014; Bai et al. 2018; Batista et al. 2016).
Here, our goal was to investigate the fluorophores linked to the photochemical generation of oxidant species such as DOM triplet excited states (3DOM*) and singlet oxygen (SO) on waters sampled in an experimental site. This site was chosen because it offers a variety of water types: riverine, underground and stagnant. The individual fluorescent components were identified using literature data and the OpenFluor database and their spatial and temporal distribution were determined. Finally, the exploration of correlations between component intensities and rates of oxidant species formation allowed to connect reactive species formation to the presence of reduced quinonic structures identified based on the literature data.
Site description and samplings
The experimental site is the SOAHAL Observatory ‘Système d'Observation d'une Annexe Hydraulique de l'ALlier’ (Peiry et al 2014). This study area, previously described (Palma et al 2020), is a cut-off meander of the Allier River, a tributary of the Loire River situated in the temperate zone (Massif central, France). It includes the Auzon cut-off meander, the Allier River and its tributary Vendage, as well as two aquifers, the alluvial fluvial flow and the watershed ones (Figure SI-1). Water samples were collected in March, July and October 2018 in Allier River, in Vendage River, in the cut-off meander at sampling sites B4 and B7, and in the piezometers PZ1 and PZ5 (Figure SI-1).
Fluorescence spectra recording and deconvolution
The three-dimensional fluorescence spectra recording is described in Supporting Information. All fluorescence signals were normalized using the area under the Raman peak at excitation 350 nm of purified water; reverse osmosis RIOS 5 and Synergy-Millipore device, resistivity 18 MΩ cm, DOC < 0.1 mg L−1 (Cory and McKnight 2005). Solutions were diluted before measurement to have an absorbance < 0.1 at 250 nm, and the recorded spectra were multiplied by the dilution coefficient. Parallel factor analysis is classically used to decompose the three-dimensional spectra and facilitate the identification and quantification of independent underlying fluorescent signals, termed “components” (Murphy et al 2013). The multi-way parallel factor analysis model was run for 3 to 8 components with non-negativity constraints using the DOMFluor toolbox (ver. 1.7) for MATLAB (R14-6.5) as described by Stedmon and Bro (2008). Seven components were determined, based on the examination of the residuals from models, split half analysis and visual inspection of spectral shapes of each component, and compared to previously validated components using the OpenFluor fluorescence database (Murphy et al 2014).
Rates of reactive species production
2,4,6-Trimethylphenol (Sigma-Aldrich, certified reference material) was used to scavenge 3DOM* while furfuryl alcohol (Sigma-Aldrich, 98%) to trap SO. The protocol used to measure the consumption of these probes and the processes used to establish the rate laws are described in SI and in Palma et al (2020). Briefly, the rate of 2,4,6-trimethylphenol consumption (RTMP) is equal to
where R3DOM* is the rate of 3DOM* production and αTMP the fraction of 3DOM* trapped by 2,4,6-trimethylphenol. Ra is the rate of light absorption by DOM between 300 and 450 nm calculated using the Beer–Lambert law Ia = I0 × (1 − 10−A), the absorption spectrum of DOM and the emission spectrum of the tubes, Φ3DOM*, the quantum yield of 3DOM* production. The rate of 2-hydroxypyranone formation (RP), the main product of reaction between furfuryl alcohol and SO (chemical yield = 85%) is equal to:
where RSO is the rate of SO production, ΦSO is the quantum yield of SO production and αFFA the fraction of SO trapped by furfuryl alcohol.
Statistical analyses were performed with the R statistical software (R version 3.6.1, R Foundation for Statistical Computing). To reveal the relationships between the DOM fluorescence characteristics and its capacity to generate reactive species under irradiation, principal component analysis was conducted on scaled and centred data of all samples and 10 variables, i.e. the 7 individual parallel factor analysis components, and the different rates. Pearson correlation coefficients were reported for all correlations where data were normally distributed. P-values < 0.01 were considered statistically significant.
Results and discussion
Assignment of the individual parallel factor analysis components
The contour plots of the 7 individual components determined by parallel factor analysis decomposition are presented in Fig. 1. Components C1 to C5 have been successfully matched in the OpenFluor database with similarity scores higher than 0.95. Component C1 (λexc = 300 and < 250) nm/λem = 390 nm) is a widespread component generally found in marine and terrestrial aquatic environments and attributed to low molecular weight substances (Osburn et al. 2011; Coble 2007). Component C2 (λexc = 280 nm/λem = 300, 340 nm) seems to gather the protein-like fluorophores with emission at 300 nm for tyrosine-like and the emission at 330–350 nm for tryptophane-like fluorophores (Coble 2007; Parlanti et al. 2000).
Component C3 (λexc = 245 and 315 nm/λem = 400 nm) was already observed (Osburn et al 2012; Romero et al 2017; Stedmon et al 2003) and assigned as fluorophores from terrestrial origin possibly produced by (photo)degradation (Osburn et al 2012). Component C4 (λexc = 260 and 370 nm/λem = 480 nm) is also a widespread component that has been described as high molecular weight fluorophores (Kowalczuk et al 2013; Murphy et al 2006; Stedmon et al 2007). It was found to be produced during bacterial processing of DOM (Amaral et al 2016) and could derive from microbial metabolism (Romera-Castillo et al 2011).
Component C4 has also strong analogies with component SQ2 (λexc = 270 and 380 nm/λem = 462 nm) assigned by Cory and McKnight 2005 to reduced quinone-like component. Component C5 (λexc = 270 and 325 nm/λem = 345 nm) was assigned to 2-naphthoxy-acetic acid by comparison with an authentic sample (SI). 2-Naphthoxy-acetic acid is generally used for controlling of preharvest fruit drop on strawberries and tomatoes. The detection of this highly fluorescent anthropogenic compound in the cut-off meander water samples is explained by the presence of vegetable farming near the site.
Component C6 (λexc < 245 nm/λem = 345 nm) did not find matches in OpenFluor-database. At last, C7 had strong analogies with component labelled SQ3 (λexc = 265 and 345 nm/λem = 412 nm) assigned once again to a reduced quinone-like component (Cory and McKnight 2005).
Spatial and temporal distribution of the individual parallel factor analysis components
The spatial and temporal variations of the component fluorescence intensities are shown in Fig. 2. The intensity of 2-naphthoxy-acetic (C5) acid and C6 was particularly important in B4-July. Components C5 and C6 appeared together in Allier-July, B7-July, PZ5-July and Vendage-July suggesting that C6 could be a degradation product of 2-naphthoxy-acetic acid. C1 and C2 were detected in high amounts in PZ1-July, Allier River-July and B7-July, while in moderate amounts in Vendage River and Allier-River-October and in minor amounts in the other water samples. As a part of the cut-off meander was covered with aquatic plants in July, these results suggest a microbial or algal origin for C1 and C2. C3 was mainly present in Allier River and Vendage River, both characterized by the highest DOM aromaticity (Palma et al 2020). C4 and C7 were detected in all the samples in quite similar fluorescence intensities, suggesting that they could have common origins and fates. Higher intensities were found in July than in March or October and in River than in cut-off meander samples.
Correlation between individual parallel factor analysis components and photoreactivity of dissolved organic matter
Results on the dissolved organic matter (DOM) photoreactivity of the different samples are shown Fig. 3. The rivers Allier and Vendage logically contained the more absorbing DOM (Fig. 3A) because their waters enrich in soil aromatic organic matter while crossing forests and fields areas. The rates of 2,4,6-trimethylphenol consumption (RTMP, Fig. 3B) and the rates of hydroxypyranone formation (RP, Fig. 3C) shows parallel variations with highest values in July and lowest values in B4 and B7 sampling sites.
As RTMP was proportional to R3DOM* Eq. (1) and RP to RSO Eq. (2) according to our mechanistic hypotheses, the principal component analysis of Fig. 4a is performed with R3DOM* and RSO. R3DOM* and RSO were positively correlated to each other (R = 0.8, p < 0.01) in accordance with the formation of singlet oxygen from 3DOM*. Moreover, R3DOM* was positively correlated to microbially derived fluorophores C4 and to reduced quinone-like component C7 (R = 0.74 and 0.72, p < 0.01, respectively), RSO to C4, C7 and degraded terrestrial component C3 (R = 0.88, 0.88 and 0.73, with p < 0.01, respectively) and Ra to C3, C4 and C7 (R = 0.75, 0.7 and 0.69, with p < 0.01, respectively) (Fig. 4a and SI-4). The other components did not show any correlation. However, C1 assigned to low molecular weight substances was very near to protein-like fluorophores C2 on the variable factor map and C5, assigned to 2-naphthoxy-acetic acid, to non-identified component C6. It shows that C1 had common features with C2, and C5 with C6.
Previous works reported that the formation rate of singlet oxygen was coupled to the abundance of humic-like components emitting at long wavelength for DOM of both marine (Timko et al. 2014; Bai et al. 2018) and terrestrial origin (Batista et al. 2016; Coelho et al. 2011). Compared to these works, we were able to identify the moieties involved in the correlation, and we propose that C4 and C7 could be attributed to the reduced forms of quinonic humic-like components (Cory and McKnight 2005). This result is in line with the study of Zheng et al (2019) in which a positive correlation between electron accepting capacity of DOM, to which quinones strongly contribute, and the presence of one of the fluorescent parallel factor analysis components proposed to represent oxidized quinoid-like structures was reported.
We found a strong positive correlation between two individual parallel factor analysis components representing DOM quinonic moieties (C4 and C7) and DOM photoreactivity, specifically the generation of oxidant species like DOM triplet excited states and singlet oxygen. This finding confirms the role played by quinonic compounds in the sensitizing properties of natural organic matter and suggests that monitoring these compounds using fluorescence spectroscopy could be a valid approach for a rapid estimation of the sensitizing properties of DOM.
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This paper is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant agreement No. 765860 (Aquality).
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Palma, D., Parlanti, E., Sourzac, M. et al. Fluorescence analysis allows to predict the oxidative capacity of humic quinones in dissolved organic matter: implication for pollutant degradation. Environ Chem Lett 19, 1857–1863 (2021). https://doi.org/10.1007/s10311-020-01137-z