Open access
Technical Papers
Jun 18, 2020

Identification of Transformation Products for Benzotriazole, Triclosan, and Trimethoprim by Aerobic and Anoxic-Activated Sludge

Publication: Journal of Environmental Engineering
Volume 146, Issue 9

Abstract

This study identified biotransformation products formed from three anthropogenic trace organic compounds (TOrCs) (benzotriazole, triclosan, and trimethoprim) in aerobic and anoxic sludge from a biological nutrient removal (BNR) wastewater treatment system. Liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (LC-QTOF) was used to identify intermediate transformation products. A user-defined compound library was used to target unknowns in samples with a mix of TOrCs without requiring chemical standards and developed using EAWAG-BDD predictive software, which included 37 potential transformation products. Biotransformation batch experiments were conducted using activated sludge from anoxic and aerobic redox regimes of a BNR treatment plant located in Southern Nevada, United States. Four intermediates were observed for benzotriazole in both aerobic and anoxic activated sludge, which consisted of two isomers of hydroxy benzotriazole and two isomers of methoxy benzotriazole. Four intermediates were observed for trimethoprim under aerobic conditions, which formed 2,4-diaminopyrimidin-5-yl)(3,4,5-trimethoxyphenyl)methanol (TMP 306) and 2,6-diamino-5-hydroxy-5-(3,4,5-trimethoxybenzyl)-5,6-dihydropyrimidin-4(1H)-one (TMP 324) and two demethylation isomers of desmethyl trimethoprim. Triclosan had one confirmed transformation product, triclosan-o-sulfate, formed in both conditions. The identification of these transformation products will allow for more thorough risk assessments to be performed for the target TOrCs.

Introduction

Biological nutrient removal (BNR) treatment, which utilizes anaerobic, anoxic, and aerobic treatment processes, has emerged as a cost-effective process for reducing nitrogen and phosphorus from wastewater. Since the focus to date of BNR treatment has been on nutrient reduction, few studies have investigated the fate of anthropogenic trace organic compounds (TOrCs), such as pharmaceuticals, personal care product ingredients, and industrial chemicals, in BNR systems. The presence of TOrCs in wastewater-effluent-impacted water bodies at concentrations up to μgL1 have raised concerns due to their potential detrimental effects on humans and other biota (Phan et al. 2014). Although BNR systems are not specifically designed to remove TOrCs, microorganisms in the activated sludge can play a key role in the removal of TOrCs. Because of biological reactions, an organic compound may undergo alterations (i.e., biotransformation) and sometimes to complete mineralization (i.e., biodegradation). For these reactions to occur, the chemical must be accessible to the organism and the organism must have the necessary enzymes to bring about the transformation.
Several studies have demonstrated that aerobic conventional activated sludge (CAS) systems can remove certain TOrCs (Salveson et al. 2012; Wick et al. 2009 Abegglen et al. 2009; Fernandez-Fontaina et al. 2013) and a few studies have observed TOrC removal from nutrient removal treatment processes that include anoxic and/or anaerobic processes (Suarez et al. 2010; Mazioti et al. 2015; Inyang et al. 2016; Xue et al. 2010; Plósz et al. 2010). There is evidence that differing redox conditions within BNR systems are important for increasing diversity among microbial populations in activated sludge that control the biotransformation of TOrCs (Phan et al. 2014). Also, nutrient removal processes may be more effective in reducing the toxicity of treated effluents, potentially resulting from TOrC degradation, upon aquatic life than compared to conventional activated sludge treatment systems (Parker et al. 2014). A recent comprehensive review noted biodegradation studies have mainly focused on aerobic conditions and documents the degradation of organic compounds that can potentially occur in methanogenic, iron reducing, sulfate reducing, and manganese reducing anaerobic environments (Ghattas et al. 2017). The contributions of anaerobic and anoxic zones within a BNR treatment to TOrC removal and associated biotransformation pathways within these zones are not fully understood.
There is a growing interest in determining whether TOrC biotransformation intermediates cause an ecological and/or human health risk, where much of the toxicities of these intermediates are unknown. Recently, studies have attempted to identify biotransformation intermediates of certain TOrCs (Liu et al. 2011; Gauthier et al. 2010; Larcher and Yargeau 2011; Lee et al. 2012; Rivera-Cancel et al. 2007; Chen et al. 2011, 2015; Eichhorn et al. 2005; Helbling et al. 2010a; Huntscha et al. 2014; Jewell et al. 2016; Müller et al. 2013; Radjenović et al. 2008). However, most of these studies utilized either pure culture bacteria or aerobic activated sludge. Thus, there is a significant knowledge gap in our understanding of the formation of intermediates in anoxic and anaerobic conditions within BNR treatment. Obtaining this type of information will allow for more thorough and accurate risk assessments to be conducted.
Anthropogenic TOrCs chosen for this biotransformation study were benzotriazole (a corrosion inhibitor), trimethoprim (an antibiotic), and triclosan (an antimicrobial agent). These TOrCs were selected because they have been frequently detected in wastewater effluents throughout the world (Dickenson et al. 2011; Loos et al. 2013; Behera et al. 2011; Rosal et al. 2010; Santos et al. 2007; Eggen et al. 2014; Salveson et al. 2012; Terechovs et al. 2019), and because benzotriazole (Cancilla et al. 1997; Harris et al. 2007; Terechovs et al. 2019), trimethoprim (Yang et al. 2008), and triclosan (Tatarazako et al. 2004; Veldhoen et al. 2006; Capdevielle et al. 2008) are known to elicit toxic effects to aquatic life forms, where measured environmental concentrations of triclosan and trimethoprim could be higher than ecotoxicity endpoint concentrations (Fekadu et al. 2019; Rauch-Williams et al. 2018). Terechovs et al. (2019) recently reported benzotriazole in reclaimed water to exceed the Australian guidelines for water recycling for potable purposes, and their risk assessment of benzotriazole revealed a high risk in the liver of the Silver Perch fish and a medium risk in the fish’s tissue. Lastly, these three TOrCs were selected because they have been observed to biotransform by activated sludge under both aerobic and anoxic conditions (Lakshminarasimman et al. 2018).
A few studies have examined biotransformation intermediates for these three compounds, albeit with either pure culture or aerobic activated sludge (Liu et al. 2011; Huntscha et al. 2014; Lee et al. 2012; Chen et al. 2011, 2015; Eichhorn et al. 2005; Jewell et al. 2016; Kim et al. 2011). Liu et al. (2011) and Huntscha et al. (2014) detected methoxy- and methyl-intermediates, respectively, for benzotriazole (12.4  mg/L) using aerobic activated sludge in batch reactors. Chen et al. (2015) detected the following biotransformation products for triclosan (5  mg/L) in aerobic activated sludge in a batch reactor: 2.4-dichlorophenol, 4-chlorocatechol, 5-hydroxy-triclosan, triclosan-o-sulfate, and monohydroxy- and dihydroxy-triclosan-derivatives. Jewell et al. (2016) detected the following six biotransformation products in an aerobic activated sludge batch reactor at trimethoprim concentrations of 500  μg/L: (2,4-diaminopyrimidin-5-yl)(3,4,5-trimethoxyphenyl)methanol (TMP 306) and 2,6-diamino-5-hydroxy-5-(3,4,5-trimethoxybenzyl)-5,6-dihydropyrimidin-4(1H)-one (TMP 324), and 5  μg/L, 4-desmethyl trimethoprim, two transformation intermediates that led to the formation of 2,4-diaminopyrimidine-5-carboxylic acid. However, understanding the formation of intermediates from benzotriazole, trimethoprim, and triclosan under anoxic conditions and aerobic conditions for various wastewater treatment sites is still lacking.
With the development of advanced analytical techniques like the quadrupole time-of flight (Q-TOF), tandem high-resolution mass spectrometry (HR-MS/MS), and linear ion trap-orbitrap (LTQ-Orbitrap), it is now possible to not only identify known targeted intermediates, but also to elucidate plausible chemical structures for unknown intermediates from the mass spectra fragments (Eichhorn et al. 2005; Jewell et al. 2016). Another merit of these screening techniques is that they allow for identification of metabolites whose reference standards may not be available, too expensive, or are unknown. Using a predefined compound database can expedite the screening of possible transformation products from multiple parent compounds at the same time. For example, a list of plausible environmental transformation products for a specific TOrC can be acquired from the literature or biodegradation prediction models, such as the Swiss Federal Institute of Aquatic Science and Technology Biocatalysis/Biodegradation Database (EAWAG-BBD 2018). This list can then be used to create a predefined byproduct database. A few studies have used a similar targeted-QTOF screening technique that utilizes a predefined database to identify TOrC intermediate compounds for BNR systems (Bletsou et al. 2015; Helbling et al. 2010b; Li et al. 2017).
The objective of the current study was to identify biotransformation intermediates of three TOrCs (benzotriazole, trimethoprim, and triclosan) using aerobic and anoxic activated sludge obtained from a BNR treatment plant located in Southern Nevada, United States. Intermediate identification for anaerobic activated sludge was not assessed because a previous study determined benzotriazole, triclosan, and trimethoprim have no or low biotransformation potential in anaerobic activated sludge collected from the same Nevada BNR treatment plant (Lakshminarasimman et al. 2018). Transformation products were identified by LC-QTOF analysis in full scan ESI positive and negative modes, and qualitatively processed by a targeted QTOF screening technique using a comprehensive user-defined personal compound database and library. The library included chemical names, molecular formulas, and accurate mass for each possible transformation product. This was uniquely applied to identify transformation products for benzotriazole, trimethoprim, and triclosan. The use of a targeted compound database allowed for samples to be easily screened for possible transformation products from multiple parent compounds at the same time without the use of chemical standards, which proved to be faster than untargeted screening methods.

Materials and Methods

Standards and Reagents

All standards and reagents used were of the highest purity and were commercially available. Benzotriazole, triclosan, trimethoprim, L-arginine, methanol, and ammonium acetate were purchased from Millipore Sigma (Burlington, Massachusetts). The Q-TOF reference stock solution, hexakis (1H, 1H, 3H-tetrafluoropropoxy)–phosphazine (HP-0921), was purchased from Agilent Technologies (Santa Clara, California). Neat materials for transformation products were purchased from either Millipore Sigma or Toronto Research Chemicals (North York, Ontario, Canada), except for 5-methoxy benzotriazole, which was custom synthesized by Frinton Laboratories. Stock solutions of all neat materials were initially prepared in methanol and diluted accordingly. The 3-desmethyl trimethoprim transformation product stock solution was initially diluted in a 1:1 solution of methanol and reagent grade deionized (DI) water for better solubility. Deionized water was obtained using a Milli-Q Ultrapure Water Purification System (Millipore Sigma, Burlington, Massachusetts).

Biodegradability Simulation Test

The biodegradability simulation test followed the OECD 314 B Biodegradation in Activated Sludge test protocol, though anoxic activated sludge was also evaluated in addition to aerobic activated sludge. Briefly, activated sludge was sourced from a 30 MGD BNR treatment plant located in Southern Nevada and shipped overnight on ice to the University of Cincinnati. This BNR treatment plant is designed to remove both nitrogen (N) and phosphorus (P), thus it included anaerobic, anoxic, and aerobic selector basins (anaerobic activated sludge was not collected). The BNR system is operated at a solids residence time (SRT) of eight days, and a hydraulic residence time (HRT) of 5.5 h. Within 2 h of receiving the samples in the laboratory, 8 L of activated sludge were placed in four separate stainless-steel batch reactors. Two of the four reactors were operated as biotic reactors (aerobic and anoxic, respectively) and the other two were corresponding abiotic reactors (biocide solution containing 10 mM each of NaN3, BaCl2, and NiCl2). No transformation intermediates were identified in the abiotic controls. All reactors were buffered with NaHCO3 to a final equivalence of 3 mM. A nutrient solution was spiked in the aerobic reactors (5 mg NH3-N/L and 10  mg/LPO4-P/L) to assess nitrification and phosphorus uptake, and in the anoxic reactors (30  NO3-Nmg/L every 12 h) to ensure denitrification.
Results for conventional parameters (total suspended solids [TSS], volatile suspended solids [VSS], ammonia [NH3-N], nitrate [NO3-N], phosphate [PO4-P], pH, and soluble chemical oxidation demand [sCOD]) in samples from the biotransformation experiments are provided in Fig. S1(a–d) in the Supplemental Data. The temperature in all four bioreactors were maintained at 20°C±0.5°C. Buffer addition held the pH (Standard Method 4500-H B) close to 8 in both aerobic and anoxic biotic reactors though the pH dropped to 7 by the end of the seven-day experiment in the aerobic biotic reactor. Also, pH in both the abiotic control reactors decreased due to the presence of the biocide. This decrease in pH was due to the removal of alkalinity from solution via precipitation reactions with the biocide (as seen visually). Dissolved oxygen (DO) (Standard Method 4500-O G) in the aerobic reactors was maintained above 4  mg/L by bubbling compressed air into the reactors. Anoxic reactors had DO values below 0.1  mg/L by passing nitrogen gas through the mixed liquor. Total and volatile suspended solids (TSS/VSS) (Standard Methods 2540 D) were similar in both the aerobic and anoxic activated sludge with an average VSS of 1,086 and 1,015  mg/L in the aerobic and anoxic biotic reactors, respectively. Generally, the TSS and VSS values decreased slightly with time in all experiments, indicating a decay of biomass. There was a decrease in soluble COD (sCOD) concentration (Method 8000 COD, Hach Company) in the aerobic reactor indicating biomass activity. In the aerobic biotic reactor, about half the phosphate spike (10 mg PO4-P/L) (Standard Method 4110B) was taken up during the first 24 h, after which the P uptake levelled off. A significant increase in NO3-N (Standard Method 4110B) and decrease in NH3-N (below detection) (Standard Method 4500-NH3D) was seen in the aerobic biotic reactor indicating nitrification by nitrifying bacteria. In the anoxic biotic reactor, 30 mg NO3-N/L was spiked at 12 h and 24 h to maintain anoxic conditions. Nitrate consumption was seen during the first 24 h, after which the concentration remained stable [Fig. S1(a–c)]. Overall, the trends in nutrients and other conventional parameters demonstrate that not only the relevant redox conditions were maintained, but also relevant microbial populations were active in the experiments.
The reactors were equilibrated for an hour prior to spiking in the target organic compounds. A stock spiking solution, containing a mixture of 80  mg/L each of benzotriazole, triclosan, and trimethoprim, was prepared in a 10% methanol/ultrapure water solution. A concentration of 1  mg/L for each compound was targeted for the initial reactor concentrations to allow for enough sensitivity to detect multiple transformation products during Q-TOF analysis. The experiment was run for seven days with samples collected from each reactor at specific time points (0, 0.25. 0.5, 1, 3, 5, and 7 day). The mixed liquor samples (125 mL) were filtered using a Whatman GF/C glass microfiber filter (1.5 μm pore size) and the filtrate was transferred to amber bottles containing a final equivalence of 1  g/L NaN3 and 0.5  g/L ascorbic acid as preservatives. A filtered activated sludge sample was also collected before spiking to provide a base line for parent compounds and transformation products. For all samples, a small aliquot was transferred to a 2 mL autosampler vial prior to instrumental analysis by direct injection.

Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry

All samples were analyzed for parent and transformation products using an HTC PAL autosampler and Agilent liquid chromatography (LC) binary pump system coupled to an Agilent 6520 quadrupole time-of-flight (Q-TOF) mass spectrometer with electrospray ionization (ESI) in both positive and negative modes. Initial LC methods were developed using the parent compounds (benzotriazole, triclosan, and trimethoprim) to allow for adequate separation and peak shape. An example chromatogram and mass error for the three parent compounds is provided in Fig. S2. Separation was performed using a Luna C18, 5 μm LC column (150×4.6  mm) and a gradient consisting of 5 mM ammonium acetate in DI water (A) and methanol (B) with a constant flow rate of 800  μL/min. A 50 μL injection volume was used for all analyses. The dual ESI source was set at 350°C, the drying gas was set at 10  L/min, and the nebulizer was set at 55 psig. A stock reference mass solution containing L-arginine and HP-0921 was prepared according to manufacturer specifications. Individual reference mass solutions were then made with final concentrations adjusted for optimal signal in each of the positive and negative ionization methods. Reference masses 121.050873 and 922.009798  m/z were used for positive mode, and reference masses 119.03632 and 980.016375  m/z were used for negative mode. The Q-TOF acquisition was operated in MS only with a mass range of 501,100  m/z for both positive and negative ionization methods. Due to the use of a defined Q-TOF database to rapidly scan and identify samples for unknowns, MS2 fragmentation was not employed.
The analytical method was initially evaluated using a variety of matrix spikes to determine expected sensitivity of parent compounds in DI water, wastewater effluent, and previous BNR sludge samples (liquid portion only), as well as their identification in the presence of these matrices as compared to standards in DI water. A 1-point calibration curve was created for the three parent compounds using a 200  μg/L standard in DI water and a regression line forced through the origin. This allowed for a semi-quantitative estimate of the initial spiked concentrations of the parent compounds at time zero and permitted the monitoring of their degradation in the experimental samples. In addition, the calibration standard was analyzed periodically during sample analysis to act as a continuing calibration verification (CCV) standard to monitor the performance of the instrument. When expected concentrations of the CCV were low (>30% drop in signal), sample analysis was stopped for instrument cleaning and maintenance.

Transformation Products Screening Methods

For targeted screening of predicted transformation products, a compound database was first created that included the compound name, molecular formula, and calculated exact mass. The database was populated by including transformation products reported in the literature and by using the EAWAG Pathway Prediction System software to identify potential biotransformation intermediates that were deemed suitable for LC-QTOF analysis. However, this prediction model was developed for aerobic transformations, so its applicability toward anoxic intermediates is potentially limited. The pathway chart for each parent compound is shown in Figs. S3S5. Additional information, such as Chemical Abstract Service numbers and structures, was entered when available. The final database included 40 possible transformation products for the three parent compounds. A full list of the transformation products included in the compound database can be found in Fig. S6. International Union of Pure and Applied Chemistry (IUPAC) names were included for structures proposed by the predictive software, which does not return a name for each predicted intermediate. The compound database was used to screen experimental BNR samples using the MassHunter Qualitative software. The raw peak area for each identified transformation product was integrated for a qualitative comparison to observe increasing and decreasing trends between samples.
In addition to using the compound database for targeted screening of transformation products, select samples in which the most abundant transformation products were detected were also screened for unknowns using a molecular feature algorithm technique built into the MassHunter Qualitative software. This technique identified possible unknown compounds by identifying ions that were related through a rise and fall in chromatographic pattern, an isotopic distribution, and the presence of adducts as set by the software and within user-defined parameters, such as retention time windows, mass ranges, and possible adducts for both positive and negative ionization modes. This second screening method was performed to ensure that unexpected transformation products were not missed when using the compound database. Potential compounds identified by either qualitative screening method were required to have a mass difference less than 3 ppm. Note that the screening methods applied are limited only to compounds amenable to the described LC-QTOF methods. In addition, no attempts were made to assess or correct for matrix suppression.

Results and Discussion

Benzotriazole

Benzotriazole biotransformed more than 99% in aerobic activated sludge and close to 50% in anoxic activated sludge over the seven-day study [Fig. 1(a)]. Four transformation products were identified in both aerobic and anoxic conditions including two hydroxy products of benzotriazole (OH-BTA) and two methoxy products of benzotriazole (MeO-BTA) [Fig. 1(b and c)]. The hydroxylation and methylation pathways of BTA are shown in Fig. 2.
Fig. 1. (a) Degradation of benzotriazole during aerobic and anoxic conditions and observed; (b) hydroxy; and (c) methoxy transformation products.
Fig. 2. Biotransformation pathways of benzotriazole.
For the OH-BTA products (C6H5N3O—mass 135.043 amu), three structural isomers were possible (1-OH BTA, 4-OH BTA, and 5-OH BTA). Huntscha et al. (2014) observed two isomers of OH-BTA and identified them as 4-OH BTA and 5-OH BTA by using reference standards and noted that 1-OH BTA would not be expected. For this study, a 4-hydroxybenzotriazole standard was used and its retention time and mass spectrum matched the second peak observed in the BNR sample chromatograms, indicating the first peak was the 5-OH BTA isomer [Fig. 3(a)]. Peak assignment and retention time difference agreed with isomers identified by Huntscha et al. (2014). In the case of the third possible OH-BTA isomer, 1-OH-BTA, a third peak was not observed and thus this isomer was not expected to be formed (Huntscha et al. 2014).
Fig. 3. (a) Identified transformation product peaks for 4- and 5-hydroxybenzotriazole isomers for Day 1, 3, and 5 of BNR experiments; and (b) for 4- and 5-methoxybenzotriazole isomers for Day 3, 5, and 7 of BNR experiments.
Under aerobic conditions, both hydroxy benzotriazole biotransformation products increased rapidly during the first day of the experiment. After the first day, they started to decrease, dropping to background levels by the end of the seventh day [Fig. 1(b)]. These trends under aerobic conditions were also observed by Huntscha et al. (2014), who measured higher concentrations of 5-OH BTA when compared to 4-OH BTA, despite the aerobic sludge being from different sources.
Under anoxic conditions, there was a lag phase for the primary biodegradation of benzotriazole [Fig. 1(b)]. Formation of the OH-BTAs started after the first day and continued to increase until approximately the fifth day of the experiment. This lag in degradation of benzotriazole under anoxic conditions suggests that the microbes/enzymes responsible were not available in required amounts for immediate primary degradation, though they were produced during the lag phase. Typical hydraulic retention times in wastewater treatment plants are less than one day and thus these intermediates are likely to pass from the anoxic unit process to the aerobic unit process where they would further degrade. Similar to the aerobic results, 5-OH BTA form at a higher concentration when compared to 4-OH BTA under anoxic conditions.
The MeO-BTA transformation products correspond to the two isomers 4-MeO BTA and 5-MeO BTA (C7H7N3O—mass 149.059 amu). A 5-MeO BTA standard was used for peak identification and isomer confirmation. Based on retention time and mass spectrum comparison, the second peak observed in the BNR samples was identified as 5-MeO BTA, indicating the first peak was 4-MeO BTA [Fig. 2(b)]. Both MeO-BTA isomers were observed under both aerobic and anoxic conditions [Fig. 1(c)]. Liu et al. (2011) detected these methoxy intermediates in aerobic conditions. They proposed methylation of the nitrogen atom in the triazole ring to form 1-methyl benzotriazole under aerobic conditions. Huntscha et al. (2014) measured the formation of 1-methyl benzotriazole from benzotriazole in aerobic activated sludge and concluded the methylation pathway was a minor reaction that accounted for only 0.2% of the initial spike. Although 1-methyl benzotriazole was included in the compound database for this study, it was not detected in any of the BNR samples. In both the aerobic and anoxic conditions, 4-MeO BTA was formed at slightly higher concentrations when compared to 5-MeO BTA. Under aerobic conditions, both MeO-BTAs increased until the third day and then leveled off through the seventh day. Under anoxic conditions initial formation of both 4-MeO BTA and 5-MeO BTA lagged until the third day and continued to increase through the end of the experiment.

Trimethoprim

Trimethoprim biotransformed slowly during the seven-day experiment for both aerobic and anoxic conditions [Fig. 4(a)]. Four transformation products were potentially identified under aerobic conditions [Fig. 4(b)]. Two were products of hydroxylation, namely TMP 306 (C14H18N4O4—mass 306.133 amu) and TMP 324 (C14H20N4O5—mass 324.143 amu). The other two products were isomers 3-desmethyl TMP and 4-desmethyl TMP (C13H16N4O3—mass 276.122 amu), formed by o-demethylation of one of the three methoxy groups on the benzene ring. Trimethoprim pathways are shown in Fig. 5. Interestingly, no transformation products were identified under anoxic conditions even though there was degradation of the parent compound.
Fig. 4. (a) Degradation of trimethoprim during aerobic and anoxic conditions; and (b) observed transformation products under aerobic conditions.
Fig. 5. Biotransformation pathways for trimethoprim.
To differentiate isomers, a 3-desmethyl trimethoprim standard was compared to the LC-QTOF retention time and mass spectrum. The standard corresponded to the second peak for the pair of desmethyl trimethoprim isomers observed in the BNR samples, suggesting the first peak was the 4-desmethyl trimethoprim isomer (Fig. 6). Standards of the two other observed transformation products, TMP 306 and TMP 324, were not available and could not be confirmed any further, although they have been reported previously in aerobic sludge by Jewell et al. (2016), as well as 4-desmethyl trimethoprim. Both desmethyl-trimethoprim isomers increased until the third day and began to slightly decrease by the seventh day, whereas TMP 306 and TMP 324 both continued to increase over the course of the seven-day experiment [Fig. 4(b)].
Fig. 6. Identified transformation product peaks for 3- and 4-desmethyltrimethoprim isomers for Day 3, 5, and 7 of BNR experiments.

Triclosan

A decrease in triclosan concentration was observed under aerobic conditions, but under anoxic conditions the aqueous phase concentration of triclosan increased through the first day before decreasing to a steady concentration at day three [Fig. 7(a)]. This increase under anoxic conditions may be due to poor mixing, slow kinetics of solubility, and desorption from the activated sludge at the high spiking concentrations (spiked for a final concentration of 1  mg/L). After a day of mixing, more triclosan may have dissolved and/or desorbed, resulting in an initial increase before degradation is observed. Because degradation occurs faster in the aerobic reactor, triclosan does not exhibit as much of an initial increase.
Fig. 7. (a) Degradation of triclosan during aerobic and anoxic conditions; and (b) observed transformation products.
The transformation product, triclosan-o-sulfate (C12H7Cl3O5S—mass 367.908 amu), was observed under aerobic and anoxic conditions using the compound database. A standard for triclosan-o-sulfate confirmed the identification of this transformation product observed in the BNR samples. Chen et al. (2015) performed aerobic degradation experiments and proposed the sulfation pathway through the addition of a SO3H-group to the triclosan phenolic group to form triclosan-o-sulfate (Fig. 8).
Fig. 8. Biotransformation pathway for triclosan-o-sulfate.
Initially, triclosan-o-sulfate formed rapidly under aerobic conditions, then there was a lag phase between 12 h and five days, after which the primary metabolite started to degrade [Fig. 7(b)]. Under anoxic conditions, triclosan-o-sulfate built up during the first day before being metabolized into secondary products. Under both conditions the concentration of triclosan-o-sulfate decreased over time, contrary to observations by Chen et al. (2015) who found triclosan-o-sulfate to be persistent in aerobic activated sludge even after 10 days.
A possible transformation product, not included in the compound database, was identified for triclosan in the aerobic activated sludge samples using the molecular feature screening method for unknowns in ESI negative mode. It had an observed mass of 241.920 amu, which resulted in one possible molecular formula, C6H4Cl2O4S. Initial searches revealed that this could potentially be 3,5-dichloro-2-hydroxy-benzene sulfonate (Fig. 9).
Fig. 9. Potential transformation product identified from unknown screening technique.
A standard for 3,5-dichloro-2-hydroxy-benzene sulfonate had a slightly shifted retention time compared to what was observed for the unknown, where the standard eluted approximately 0.42 min later (Fig. S7). A matrix spike was performed to ensure that the matrix was not the cause of the shifted retention time; however, the matrix spike matched the standard. This suggests that the observed compound in the samples may be a closely related isomer, but not specifically 3,5-dichloro-2-hydroxy-benzene sulfonate. The unknown dichloro-2-hydroxy-benzene sulfonate isomer also appeared to exhibit in-source degradation and underwent a partial loss of SO3 during ionization to form both the transformation product and the corresponding dichlorophenol degradation product (C6H4Cl2O—mass 161.964 amu) at the same retention time. This was detected and identified by the database as 2,4-dichlorophenol, a potential transformation product. However, standards for possible dichlorophenol isomers (Fig. S8) were analyzed and confirmed that the retention times for the standards did not match the dichlorphenol isomer observed in the samples. In addition, this by-product was observed in tests performed using the standard for 3,5-dichloro-2-hydroxy-benzene sulfonate, which further concluded that in-source degradation was occurring.

Conclusions

The primary goal of the project was to identify the formation of biotransformation products from benzotriazole, trimethoprim, and triclosan in wastewater activated sludge samples under anoxic and aerobic conditions using a targeted-QTOF screening technique and comprehensive user-defined personal compound database and library. This study confirmed the identity of several specific biotransformation intermediates in aerobic activated sludge samples as observed in past studies, which indicates similar initial transformation pathways occurring in aerobic activated sludge despite the sludges being from differing sites and environmental conditions. However, newly identified biotransformation products were discovered in aerobic activated sludge for trimethoprim (4-desmethyl trimethoprim) and triclosan (3,5-dichloro-2-hydroxy-benzene sulfonate related isomer). Also, this is the first study to attempt to identify trimethoprim, triclosan, and benzotriazole biotransformation products in anoxic activated sludge, where biotransformation products were newly identified for benzotriazole (two isomers of hydroxy benzotriazole and two isomers of methoxy benzotriazole) and triclosan (triclosan-o-sulfate). Interestingly, no transformation products were identified for trimethoprim under anoxic conditions, even though there was degradation of the parent compound. The screening technique used can be applied to other environmental aqueous samples for quick screening of possible transformation products originating from multiple parent compounds in a mixture without the use of chemical standards.

Supplemental Data

Figs. S1S8 are available online in the ASCE Library (www.ascelibrary.org).

Supplemental Materials

File (supplemental_data_ee.1943-7870.0001691_trenholm.pdf)

Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The Southern Nevada Water Authority (SNWA) acknowledges the Water Research Foundation (Project No. U2R13/4874) are funders of certain technical information upon which this publication is based. SNWA thanks the Water Research Foundation, for their financial, technical, and administrative assistance in funding the project through which this information was discovered. The authors would like to acknowledge support from the SNWA: Janie Zeigler-Holady and Brittney Hornbeck for their assistance with the analysis of TOrCs and David Rexing and Jennifer Fuel for administrative support.

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Published In

Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 146Issue 9September 2020

History

Received: Jul 30, 2019
Accepted: Oct 22, 2019
Published online: Jun 18, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 18, 2020

Authors

Affiliations

Rebecca A. Trenholm [email protected]
Research Chemist, Water Quality Research and Development Div., Southern Nevada Water Authority, Henderson, NV 89015. Email: [email protected]
Brett J. Vanderford [email protected]
Principal Research Laboratory Scientist, Water Quality Research and Development Div., Southern Nevada Water Authority, Henderson, NV 89015. Email: [email protected]
Narasimman Lakshminarasimman [email protected]
Graduate Student, Dept. of Chemical and Environmental Engineering, Univ. of Cincinnati, Cincinnati, OH 45221. Email: [email protected]
Drew C. McAvoy, Ph.D., M.ASCE [email protected]
P.E.
Professor, Dept. of Chemical and Environmental Engineering, Univ. of Cincinnati, Cincinnati, OH 45221. Email: [email protected]
Research and Development Project Manager, Water Quality Research and Development Div., Southern Nevada Water Authority, Henderson, NV 89015. (corresponding author) ORCID: https://orcid.org/0000-0003-2341-4997. Email: [email protected]

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