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Remediation and Control Technologies
Nitrate Removal via Formate Radical-induced Photochemical Process Gongde Chen, Sergei Hanukovich, Michelle Chebeir, Phillip Christopher, and Haizhou Liu Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b04683 • Publication Date (Web): 30 Nov 2018 Downloaded from http://pubs.acs.org on December 2, 2018
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Environmental Science & Technology
Nitrate Removal via Formate Radical-induced Photochemical Process
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Gongde Chen,† Sergei Hanukovich,† Michelle Chebeir,† Phillip Christopher,†,‡
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and Haizhou Liu*,†
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† Department
Riverside, CA 92521, USA
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of Chemical and Environmental Engineering, University of California at Riverside,
‡ Present
Address: Department of Chemical Engineering, University of California at Santa Barbara, Santa Barbara, CA 93106, USA
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* Corresponding author, e-mail:
[email protected],
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phone (951) 827-2076, fax (951) 827-5696
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Submitted to Environmental Science & Technology
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Table of Contents (TOC) Graphic
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Abstract
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Removal of excess nitrate is critical to balance the nitrogen cycle in aquatic systems. This study
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investigated a novel denitrification process by tailoring photochemistry of nitrate with formate.
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Under UV light irradiation, short-lived radicals (i.e., HO·, NO2· and CO3·-) generated from nitrate
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photolysis partially oxidized formate to highly reductive formate radical (CO2·-). CO2·- further
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reduced nitrogen intermediates generated during photochemical denitrification (mainly NO·, HNO,
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and N2O) to gas-phase nitrogen (i.e., N2O and N2). The degradation kinetics of total dissolved
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nitrogen was mainly controlled by the photolysis rates of nitrate and nitrite. The distribution of
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final products was controlled by the reaction between CO2·- and N2O. To achieve a simultaneous
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and complete removal of dissolved nitrogen (i.e., nitrate, nitrite, and ammonia) and organic carbon,
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the formate-to-nitrate stoichiometry was determined as 3.1 ± 0.2 at neutral pH in deionized water.
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Solution pH impacted the removal rates of nitrate and nitrite, but not that of total dissolved nitrogen
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or formate. The presence of dissolved organic matter at levels similar to groundwater had a
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negligible impact on the photochemical denitrification process. A high denitrification efficiency
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was also achieved in a synthetic groundwater matrix. Outcome from this study provides a potential
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denitrification technology for decentralized water treatment and reuse facilities to abate nitrate in
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local water resources.
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Introduction
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Managing the global nitrogen cycle is one grand challenge in the 21st century identified by the
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U.S. National Academy of Engineering.1 Extensive utilization of nitrogen fertilizers elevates
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nitrate (NO3-) levels in natural waters, causing eutrophication and posing great public health
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risks.2-4 U.S. EPA established a maximum contaminant level (MCL) of nitrate in drinking water
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at 10 mg-N/L. Approximately 95% of public water systems that violate nitrate MCL use
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groundwater as the drinking water source.4 Nitrate concentrations in national groundwater and
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drinking wells increased across the United States from 1988 to 2012, indicating a persistent nitrate
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contamination issue in groundwater.5, 6
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Ion exchange is commonly used to remove nitrate from groundwater, however, resin regeneration
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produces concentrated brine waste that requires costly disposal. Reductive transformation nitrate
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to nitrogen gas (N2), also known as denitrification, is another approach to remove nitrate from
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groundwater. For example, biological denitrification, catalytic hydrogenation, photocatalytic and
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electrochemical reduction can convert nitrate to gas-phase nitrogen.7-12 Biological processes rely
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on specific enzymes in microbes to facilitate sequential electron-transfer.13 Catalytic
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hydrogenation, photocatalytic and electrochemical reduction require active sites on catalysts to
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effectively bind and selectively transform nitrate to gas-phase nitrogen.10-12 Although functional,
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these technologies have not been widely used in drinking water treatment because of high
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operational complexity, additional handling for biomass and dissolve organics, inadequate
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selectivity toward nitrogen gas, strong inhibition effects from competitive species, and mass-
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transfer limitation from bulk to the electrode surface.14-16
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Photochemical denitrification provides a promising alternative for nitrate removal. The unique
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photochemistry of nitrate – formation of short-lived reactive radicals upon UV irradiation – can
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be harnessed to drive homogeneous denitrification17,
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photochemistry of nitrate largely emphasized on its photosensitizing role in the degradation of
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organic contaminants.19, 20 Recent efforts on denitrification mainly focus on the design of new
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catalysts processing unique catalytic properties or mimicking natural enzymatic processes.21-23 In
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contrast, homogeneous denitrification process based on the photochemistry of nitrate has not been
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explored. Furthermore, direct photolysis of nitrate generates more toxic nitrite as the end product,
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making it infeasible as a standalone treatment option17, 18 Therefore, additional reducing reagents
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that can be in-situ generated during nitrate photolysis are desired to convert nitrate to N2.
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Formate radical (CO2·-) can be a promising reducing reagent. It is highly reductive (Eo(CO2 CO.2- )
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= - 1.9 V) and thermodynamically feasible to convert nitrate to N2 (Eo(NO3- N2) = 1.24 V).24
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Prior studies have applied CO2·- to reductive removal of chlorinated chemicals and toxic heavy
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metals.25, 26 CO2·- can be generated via formate reacting with oxidative radicals (e.g., HO·) that
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are intermediates of nitrate photolysis. In addition, the formation of CO2·- and its potential role in
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contaminant destruction have been reported in heterogeneous photocatalysis, where formate was
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used as a hole scavenger.27 Despite that, the feasibility and mechanism of utilizing CO2·- for
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homogeneous denitrification induced by nitrate photolysis remain largely unknown.15,
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Furthermore, there lacks a mechanistic understanding of photochemical denitrification processes
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and quantitative determination of major reaction pathways because of the complexity of
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denitrification processes.
18.
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However, prior studies on the
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In this study, we aimed to develop a CO2·--induced denitrification process utilizing the
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photochemistry of nitrate. The key is to harness transiently in-situ produced radicals (e.g., HO·,
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NO2·, and CO3·-) from nitrate photolysis to partially oxidize formate to highly reductive CO2·-. A
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new kinetic model with principal component analysis was established to interpret the
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denitrification mechanism. Furthermore, we determined the formate-to-nitrate stoichiometry at
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which a complete removal of both dissolved nitrogen and organic carbon was achieved
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simultaneously. The impact of solution pH and dissolved organic matter on photochemical
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denitrification was investigated. The applicability of this new denitrification process was evaluated
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with the synthetic groundwater.
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Materials and Methods
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Photochemical experiments and sample analysis
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Batch experiments of photochemical denitrification were performed in 10-mL quartz tubes rotating
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around a 450-W medium pressure UV immersion lamp (Ace Glass, Inc.). The light intensity of the
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lamp is 42 mW/cm2 measured by thermopile (Newport 818P-010-12). Its spectrum with
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wavelengths ranging between 200 and 850 nm measured by charge-coupled device (Avantes
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AvaSpec-EDU) was provided in Figure S1 of Supporting Information (SI) section. To start an
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experiment, solutions containing 2 mM nitrate and 0-20 mM formate were transferred to quartz
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tubes followed by UV exposure. Suwannee River natural organic matter (SRNOM) as dissolve
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organic matter between 0 and 72 mg/L was also added to the solution. The solution pH was
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controlled at a targeted level between 2 and 11 using 20 mM phosphate buffer. Synthetic
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groundwater was used in some experiments (chemical matrix listed in Table S1 of SI).
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At pre-determined time intervals, one sacrificial quartz tube was taken out of the UV reactor for
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chemical analysis. Concentrations of nitrate, nitrite and formate were analyzed by ion
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chromatography (DX-120, Thermo Fisher Scientific) with an anion column (Dionex Ion Pac AS22)
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and a conductivity detector. The eluent was 4.5 mM Na2CO3 and 1.4 mM NaHCO3, and the flow
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rate was set at 0.86 mL/min. Ammonia was analyzed by a UV/vis spectrophotometer (Horiba
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scientific, Inc.) using phenate method.28 Total organic carbon and dissolved nitrogen were
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analyzed by a TOC analyzer with a total nitrogen module (Aurora 1030C).
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To determine the composition of nitrogen products in the gas phase during the photochemical
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denitrification, 40 mL of reaction solution containing nitrate (2.0 mM), formate (6.1 mM), and
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phosphate buffer (20 mM, pH = 7) was irradiated in a homemade gas-tight cylindrical reactor with
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headspace pre-vacuumed and filled with helium gas. Gas samples taken from the headspace of the
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reactor were analyzed by gas chromatography (GC). N2 gas was analyzed using GC with packed
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column (Molecular Sieve 13X, 2.1 mm × 6 feet), thermal conductivity detector (operation
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temperature: 110 oC), and helium as the carrier gas. Details on gas-phase nitrogen analysis were
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provided in Text S1.
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Furthermore, to quantify the generation of short-lived radicals during the photochemical reaction,
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a solution containing nitrate (100 mM), formate (300 mM), 5,5-dimethyl-1-pyrroline N-oxide
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(DMPO, 100 mM), and phosphate buffer (200 mM, pH=7) was irradiated by medium-pressure UV
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lamp. Control experiments were carried out in the absence of formate or both nitrate and formate,
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respectively. Samples taken at 20 minutes of irradiation were transferred to quartz vials for electron
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paramagnetic resonance (EPR) analysis using X-Band EPR Spectrometer (Bruker EMX
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spectrometer, Germany). Typical instrumental conditions were as follows: center field: 3325 G;
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sweep width: 1000 G; microwave power: 20 mW; microwave frequency: 9.33 GHZ; receiver gain: 7 ACS Paragon Plus Environment
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7.1×103; modulation amplitude: 2.0 G; modulation frequency: 100 kHZ; time constant: 10.24 ms;
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sweep time: 20.97 ms.
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Kinetic modeling and principal component analysis
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To simulate photochemical denitrification process, kinetic modeling with uncertainty analysis was
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performed on a total of 139 reactions using Kintecus V6.01 program.29 Uncertainty analyses were
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performed by introducing 20% relative standard deviation to the fitted rate constants. 95%
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confidence interval was specified to calculate confidence band. Time profiles of average
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concentrations of nitrogen species and formate with 95% confidence intervals were generated
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using the kinetic model. To determine the major reactions that controlled the reaction kinetics and
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product distribution, principal component analyses were performed with Kintecus V6.01 and
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Atropos V1.00 programs.29, 30 Normalized sensitivity coefficients (NSC) of each reaction in the
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kinetic model at predetermined time intervals were calculated by Kintecus program.31
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Subsequently, principal component analyses were conducted by Atropos program through
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eigenvalue-eigenvector analysis of the matrix composed of NSCs of each reaction at all time
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intervals.29, 30 The reactions with significant entries in the eigenvector (i.e., principal component)
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that has the largest eigenvalues are the most important. Entries with absolute values in the
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eigenvector smaller than 0.01 are not reported. Details on kinetic modeling and principal
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component analyses were provided in Texts S2-S3 of SI.
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Results and Discussion
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Photochemical denitrification in the presence of formate
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Photochemical denitrification of nitrate was investigated in the presence of formate. The optimal
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formate-to-nitrate molar ratio was determined as 3.1 at which a nearly complete removal of
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dissolved nitrogen and formate was achieved at pH 7 after 180 minutes of UV irradiation (Figure
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1). As nitrate was removed, nitrite was initially generated but subsequently decayed to a negligible 9 ACS Paragon Plus Environment
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level (Figure 1). Ammonia was not observed throughout the reaction. The removal of total
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dissolved nitrogen indicated the conversion of nitrate to gas-phase nitrogen. A control experiment
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conducted in the absence of formate showed that nitrate was only partially converted to nitrite with
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no change in total dissolved nitrogen (Figure S2). Because denitrification was not observed in the
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control, it indicated the importance of formate in driving photochemical denitrification. When the
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formate-to-nitrate molar ratio was less than 3.1 (i.e., 1.1 and 1.7), nitrate was partially reduced to
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nitrite and less than 20% of dissolved nitrogen was removed (Figure S3A and S3B). As the ratio
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increased beyond 3.1 (i.e., 5.8 and 11.3), nitrate was completed removed, but excess formate
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remained in the system (Figure S3C and S3D). Therefore, the optimal formate-to-nitrate molar
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ratio was 3.1 for photochemical denitrification process in deionized water at neutral pH.
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Mechanism of photochemical denitrification
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To understand the mechanism of photochemical denitrification in the presence of formate, a
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comprehensive kinetic model that includes all possible reactions was established to simulate and
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quantify the denitrification process. The complete list of reactions in the model is provided in Table
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S2. The model prediction with 95% confidence intervals well fits the experimental data at different
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formate-to-nitrate molar ratios (Figure 1 and Figures S2-S3). Following that, principal component
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analyses were conducted and 18 major reactions that controlled the denitrification process at an
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optimal formate-to-nitrate molar ratio (i.e., 3.1) at pH 7 were identified (Table 1). The analyses
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showed that all major reactions had significant entries in the eigenvectors (i.e., principal
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components) with the largest four eigenvalues (Table 1), which indicated that they were the major
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reaction pathways in the denitrification process. For example, nitrate photolysis is important in
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denitrification process because it generates reactive radical species and initializes subsequent
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reactions. Photolysis reactions of nitrate (i.e., R1 and R2) have much more significant entries in 10 ACS Paragon Plus Environment
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the eigenvectors (e.g., 0.64 and -0.73) than the threshold value (i.e., 0.01), indicating that these
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two reactions are very important.
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Based on the major reactions identified from the model (Table 1), the mechanism of photochemical
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denitrification at a formate-to-nitrate molar ratio of 3.1 and pH 7 was illustrated (Scheme 1).
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Nitrate has a strong π→π* absorption band peaked at 200 nm and a weak n→π* absorption band
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peaked at 302 nm (Figure S1).18 Under the irradiation of polychromatic light, nitrate dissociated
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into NO2· and HO· (R1 in Scheme 1; all reactions henceforth refer to Table 1) or isomerized into
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peroxynitrite (ONOO-) (R2). ONOO- reacted with dissolved CO2 from air and formate oxidation
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(R3). The formed ONOOCO2- subsequently decomposed into NO3- and CO2 (R4), or NO2· and
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CO3·- (R5). The presence of formate converted CO3·-, HO· and NO2· to CO2·- (R6-R8). Once
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formed, CO2·- underwent self-recombination (R9) or reacted with dissolved oxygen to generate
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O2·- (R10). As an intermediate, NO2- was mainly generated from the reaction between NO2· and
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HCOO- (R8) and subsequently photolyzed to NO· and HO· (R11). In the presence of CO2·-,
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NO· was eventually reduced to HNO through a three-step reaction pathway (R12-14). The formed
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HNO either self-combined into N2O (R15) or reduced to H2NO· by CO2·- (R16). Both H2NO· and
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N2O served as the source of N2 by self-recombination (R17) and CO2·--induced reduction (R18),
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respectively.
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The addition of formate in the photochemical system is critical to denitrification. Formate
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prevented the re-oxidation NO2· to nitrate by scavenging oxidative radicals (e.g., HO· and CO3·-).
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In addition, the reaction between NO2· and HCOO- (R8) was critical to the denitrification process
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but has not been reported previously. Vibronically-excited NO2· generated during nitrate
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photolysis abstracted hydrogen from HCOO- to generate CO2·-.32,
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constant between NO2· and formate (R8) is 5.0×105 M-1 s-1. Therefore, the addition of formate 11 ACS Paragon Plus Environment
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Model-predicted rate
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during nitrate photolysis converted NO2· to NO2- and generated reductive CO2·- for subsequent
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denitrification.
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The formation of CO2·- in the photochemical system was confirmed by EPR using 5,5-dimethyl-
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1-pyrroline N-oxide (DMPO) as the trapping reagent (Figure 2). EPR spectrum of nitrate
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photolysis in the presence of formate showed six equal-height spectral lines with g value of 2.0054
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and hyperfine splitting constants aN = 15.7 G and aβ - H = 19.0 G. The spectral characteristic was
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consistent with that of DMPO-CO2·- adduct (Figure 2).35 As a control, nitrate photolysis in the
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absence of formate generated a quartet EPR spectrum (g=2.0051 and aN = aβ - H = 15.0 G) with
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peak intensity ratios of 1:2:2:1, which was attributed to DMPO-HO· adduct (Figure 2).35 EPR
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spectrum of DMPO alone showed no appreciable signal (Figure 2). The contrasting EPR spectra
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confirmed the formation of CO2·- during photolysis of nitrate in the presence of formate.
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The respective contribution of HO·, NO2· and CO3·- to the yield of CO2·- depends on the steady-
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state concentration of each radical species and its respective rate constant with formate. Model-
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predicted concentrations of NO2· and CO3·- were four orders of magnitude higher than that of HO·
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(10-10 vs. 10-14 M) (Figure S4), mainly because NO2· and CO3·- were less reactive with HCOO-
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than HO· (105 vs. 109 M-1s-1). Calculation based on kinetic modeling showed that NO2· contributed
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most to CO2·- formation (49%) followed by HO· (39%) and CO3·- (12%), i.e., R8, R7, and R6 in
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Scheme 1, respectively (Figure 3A and Text S4).
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The contribution of CO2·- to denitrification mainly resulted from its reactions with NO· (R12,
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Scheme 1). Kinetic modeling showed that NO· accounted for 42% of cumulative consumption of
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CO2·- and served as the major sink of CO2·- (Figure 3B). Besides that, dissolved oxygen and self-
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recombination were two additional sinks for CO2·-. In the first five minutes, 99% of CO2·- was 12 ACS Paragon Plus Environment
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scavenged by O2 (Figure 3B and Text S4), because O2 is present in air-saturated solution (0.25
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mM) and it has a high reactivity with CO2·- (2.4×109 M-1 s-1, Table 1). As O2 was depleted, the
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concentration of CO2·- increased rapidly from 10-12 to 10-8 M (Figure S5). As a result, self-
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scavenging became prominent for CO2·- (R9, Scheme 1), which accounted for ca. 30% of
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integrated consumption of CO2·- (Figure 3B). HNO was an important intermediate associated with
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final product distribution (i.e., N2O and N2). Calculation based on the kinetic modeling (Figure
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S6) showed that 83% of HNO self-combined into N2O (R15, Scheme 1) and the remaining 17%
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was reduced to H2NO· by CO2·- (R16). N2O was the main product of HNO. Despite that the self-
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recombination of H2NO· to N2 was fast (R17), the subsequent reaction between CO2·- and N2O
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was kinetically unfavorable (1600 M-1s-1, R18), which limited the overall formation of N2. Product
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analyses by gas chromatography showed that N2 gas accounted for 30% of gaseous products
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(Figure S7). N2O gas was predicted as another major product by kinetic modeling (Figure S8). It
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accounted for the remaining 70% of gas-phase nitrogen based on mass balance.
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Denitrification stoichiometry
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Photochemical denitrification is a multi-step electron transfer process. Experimental data showed
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that the formate-to-nitrate molar ratio affects the availability of electrons for denitrification and
228
consequently the final product distribution (Table 2). In the absence of formate, nitrate only
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photolyzed into nitrite (Table 2), because transient species generated during nitrate photolysis (e.g.,
230
HO·, ONOO-, NO2·, NO·, N2O4, and N2O3) underwent simultaneous oxidation, hydrolysis and
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combination reactions that prohibited the transformation of nitrate into gas-phase products.17 As
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formate-to-nitrate molar ratio increased, additional electrons from formate converted oxidative
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radicals (e.g., HO· and NO2·) to CO2·-, promoted the reduction of nitrate, and inhibited the
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accumulation of nitrite (Table 2). High formate-to-nitrate molar ratio favored denitrification but 13 ACS Paragon Plus Environment
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increased residual organics in the system (Table 2). The stoichiometry between formate and nitrate
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to achieve a complete removal of dissolved nitrogen and organic carbon was determined as 3.1 ±
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0.2, which was consistent with the model prediction (3.2 ± 0.1, Table 2). Based on the observed
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product distribution of gas-phase nitrogen (70% of N2O and 30% of N2) and electron-transfer
239
numbers with respect to nitrate, the theoretical stoichiometry of formate to nitrate was calculated
240
as 2.2 (Text S5). The actual formate-use efficiency during denitrification process was determined
241
as 74%, based on the ratio of theoretical to measured stoichiometry. The lower-than-ideal
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stoichiometry mainly resulted from the scavenging of CO2·- by itself (R9, Scheme 1) and dissolved
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O2 (R10, Scheme 1).
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Effects of solution pH
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Photochemical denitrification was closely associated with the speciation of nitrogen intermediates
246
(e.g., ONOO- and NO2-) and other species (e.g., CO2(aq) and HCOO-). Solution pH impacts their
247
speciation (ONOOH/ONOO-, pK=6.5-6.8;18 HNO2/NO2-, pK=3.3;36 CO2/HCO3-/CO32-, pK1= 6.3
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and pK2=10.3; HCOOH/HCOO-, pK=3.8.37), as well as their molar extinction coefficients,
249
quantum yields and reactivities. The data showed that pH moderately affected the removal of
250
nitrate and nitrite, but insignificantly affected the removal of dissolved nitrogen and formate
251
(Figure 4). Nitrate removal was slightly enhanced at pH 11 in comparison with that at pH 2 and 7,
252
respectively (Figure 4A). The initial accumulation of nitrite was largely avoided at pH 2 compared
253
to other pHs (Figure 4B). The formation of ammonia was negligible regardless of pHs (data not
254
shown). Combining effects of nitrate and nitrite slightly enhanced the removal of dissolved
255
nitrogen at pH 2 and 11, compared with that at pH 7 (Figure 4C), indicating that the solution pH
256
has no significant impact on photochemical denitrification.
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Model prediction of photochemical denitrification process at different pHs well matched with the
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experimental observations (Figure 4). The enhanced nitrate removal at alkaline pH was associated
259
with the speciation of inorganic carbon that was generated from formate oxidation. At pH 11, OH-
260
catalyzed the hydration of CO2(aq) into HCO3-, which suppressed the formation of NO3- from
261
ONOO- (R3 and R4, Scheme 1) and subsequently enhanced the removal of nitrate. Model-
262
predicted concentration of CO2 (aq) (ca. 10-8 M) at pH 11 was much lower than that at pH 2 and 7
263
(ca. 10-5-10-3 M).
264
The pH-induced drastic difference in nitrite evolution was associated with its speciation. At pH 2,
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nitrite became protonated to nitrous acid (i.e., HNO2). HNO2 has a larger molar extinction
266
coefficient and higher photolysis quantum yield than NO2-.38 Model-predicted photolysis of HNO2
267
at pH 2 (2.5×10-3 s-1, R66, Table S2) was 3 times faster than that of NO2- at pH 7 (7.9×10-4 s-1,
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R49, Table S2). Fast photolysis of HNO2 prevented its build-up at pH 2. In contrast, at pH 11,
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photolysis of nitrite slowed down in comparison to that at pH 7. This is likely because of light
270
attenuation by the accumulated ONOO- that has a strong UV absorption between 250 and 400 nm
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(e.g., ε(ONOO - )302nm = 1670 M -1cm -1).39 Model-predicted concentration of ONOO- at pH 11 (ca.
272
10-6 M) was two orders of magnitude higher than that at pH 7 (ca.10-8 M). Consequently, the
273
predicted photolysis rate of NO2- at pH 11 (3.9×10-4 s-1, R49, Table S2) was 2 times smaller than
274
that at pH 7, which resulted in more initial accumulation of nitrite at pH 11.
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Effects of dissolved organic matters
276
Dissolved organic matter (DOM) is commonly present in natural waters. It can absorb light,
277
produce reactive intermediates (e.g., 3DOM*, 1O2, O2·-, eaq-, etc.), scavenge radical species
278
(e.g., ·OH), and potentially impact the photochemical denitrification process.40, 41 SRNOM was 15 ACS Paragon Plus Environment
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used as the model compound to investigate the impact of DOM. At a low DOM concentration (i.e.,
280
5 mg-C/L) that simulates its level in groundwater, denitrification efficiency was comparable to
281
that in the absence of DOM (Figure 5A). At high DOM concentrations (i.e., 24 and 72 mg-C/L)
282
that simulated its levels in eutrophic surface water and wastewater, denitrification efficiency was
283
partially suppressed (Figure 5A). The decay of nitrate was also inhibited, indicating that reactive
284
species generated from DOM made insignificant contribution to nitrate removal. Despite that, 68%
285
and 43% of total dissolved nitrogen was removed at DOM concentrations of 24 and 72 mg-C/L,
286
respectively. In addition, DOM exhibited a similar impact on formate removal (Figure 5B).
287
DOM impacted the denitrification process mainly because of its light-shading and electron-
288
donating effects. To simulate the impact of DOM on denitrification process, light-shading
289
and ·OH-scavenging effects of DOM were considered in the kinetic model. Other unknown effects
290
of DOM that could not be quantitively considered in the model were assessed by comparing the
291
difference between model predication and experimental data. High concentrations of DOM
292
shielded light from nitrate and nitrite. For instance, in the range of 200-240 nm where nitrate has
293
strong absorption, 72 mg-C/L of DOM absorbed 22% to 100% of total irradiance at the initial stage
294
(Figure S9). The light-shading effect of DOM also suppressed the decay of nitrate and increased
295
the accumulation of nitrite when the DOM levels reached 24 and 72 mg-C/L (Figure S10 and S11).
296
With photolysis rates of nitrate and nitrite optimized in the model to account for light shading
297
effect of DOM, the model well predicted the removal of total dissolved nitrogen (Figure 5A).
298
Kinetic modeling showed that 72 mg-C/L of DOM decreased the photolysis rates of nitrate and
299
nitrite by 55% and 90%, respectively, compared with those in the absence of DOM.
300
The scavenging effect of DOM on ·OH was included in the model but the effect was insignificant,
301
because DOM reacted with ·OH much more slowly than it with formate (kSRNOM-HO·= 1.4 - 4.5×108
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M-1s-1 vs. kHCOO--HO·= 3.2×109 M-1s-1).41, 42 Additional effect of DOM were indicated by the over-
303
predicted decay of formate at high DOM concentrations by the model (i.e., 72 mg-C/L, Figure
304
5B). The deviation indicated that additional electron-releasing capacity from DOM benefited the
305
denitrification process. For instance, electron-rich moieties in DOM and its degradation products
306
could serve as electron donors for denitrification process, which reduced the overall consumption
307
of formate.43
308
Environmental implications
309
This study demonstrates a promising denitrification technology to transformation of nitrate into
310
gas-phase nitrogen. Application potentials of this technology were further assessed in the synthetic
311
groundwater chemical matrix, and the denitrification efficiency was comparable with that in DI
312
water (Figure 6). Kinetic modeling showed that the model predication well fitted the experimental
313
data and indicated that major groundwater constituents (e.g., Cl-, SO42-, HCO3-, DOM, etc.) did
314
not significantly interfere with photochemical denitrification process. The result showed that this
315
process can be highly effective to treat authentic nitrate-contaminated groundwater.
316
The proposed denitrification mechanism is based on kinetic modeling, qualitative analyses of
317
major radicals (i.e., HO· and CO2·-) and quantitative analyses of the reactants and products. To
318
further validate the proposed reaction pathways, quantitative analyses of unstable intermediates
319
are required. The study showed that gas-phase product distribution of photochemical
320
denitrification was mainly controlled by low reactivity between CO2·- and N2O. Future studies can
321
strive to minimize the formation of N2O through introducing hydrated electrons because of their
322
high reactivity to transform N2O to N2 (9.1×109 M-1 s-1).42 The kinetics of photochemical
323
denitrification was governed by photolysis of nitrate and nitrite. Prior studies demonstrated that 17 ACS Paragon Plus Environment
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photolysis of nitrate and nitrite under the irradiation of polychromatic light predominantly resulted
325
from photons less than 280 nm.44 Based on that, effective electric energy per order of dissolved
326
nitrogen removal was determined as 17 KWh/m3/order for bench-scale photochemical
327
denitrification. Even though it is more energy intensive than conventional UV processes (e.g.,
328
UV/H2O2 and UV/O3: 0.1-1KW KWh/m3/order), the energy efficiency can be substantially
329
improved via further optimization on operational and reaction parameters.45, 46 For instance, nitrate
330
has a strong absorption and high photolysis quantum yield below 240 nm. Utilization of UV lamps
331
with a photon flux below 240 nm can highly enhance the photon-use efficiency, accelerate the
332
reaction kinetics, and reduce the energy consumption. Further optimization on reactor
333
configuration and process capacity can significantly decrease the energy demand of the full-scale
334
treatment compared with bench-scale test.45
335
The proposed denitrification technology has a high adaptability to different water chemical
336
conditions. The operational flexibility and simplicity enable it as fit-for-purpose technology for
337
water treatment and reuse. It can be implemented as a treatment module that helps urban areas
338
treat local water resources to supplement conventional water supplies. In addition, it can be
339
integrated in a decentralized water treatment unit to help remote communities remove nitrate from
340
local water supplies. Prior to full implementation, pilot-scale test and process optimization should
341
be performed.
342
Formate has already been used in treatment process for in situ groundwater denitrification and
343
TiO2-based photocatalytic denitrification.14,
344
readily mineralized into carbon dioxide. The optimal formate-to-nitrate molar ratio should be
345
utilized to prevent secondary contamination from formate. Our work shows that the optimal
346
formate-to-nitrate ratio has little dependency on pH and major water constituents (e.g. DOM and
27, 47
As the simplest carboxylate, formate can be
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inorganic constituents) at levels similar to those in groundwater (Table S3). For source waters with
348
chemical constituents that strongly impact the formate-use efficiency and denitrification
349
performance, pretreatment (e.g., membrane filtration) can be conducted to minimize their potential
350
adverse effect on the treatment efficiency.
351
Associated Content
352
The Supporting Information contains additional figures (Figures S1-S11), tables (Tables S1-S3),
353
and texts (Texts S1-S5) referenced in the main text showing information on gas-phase nitrogen
354
analysis, kinetic modeling and prediction, and photochemical denitrification.
355
Acknowledgement
356
The study was supported by U.S. National Science Foundation GOALI Program (CBET-1611306).
357
We also thank the support to G.C. from the Los Angeles Urban Natural Resources Sustainability
358
Science Fellowship, and the assistance from Yibo Jiang and Kun Li for gas-phase nitrogen analysis.
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359 360
Figure 1 Photochemical denitrification in the presence of formate. [Nitrate] = 2.0 mM, [Formate]=
361
6.2 mM, and pH = 7 with 20 mM phosphate buffer. Makers represent the data from experiments;
362
Lines with shaded bands represent the predicted time profiles of average concentrations with 95%
363
confidence intervals from kinetic modeling.
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Table 1 Major reactions in photochemical denitrification process. [Nitrate] = 2.0 mM, [Formate]
365
= 6.2 mM, and pH = 7 with 20 mM phosphate buffer. Entries in the eigenvector with absolute
366
value smaller than 0.01 are not shown. Principle components No.
Reactions
Rate constants
1
2
10845
5090
References
3
4
Eigenvalue 2123
1675
Eigenvector 1
𝑁𝑂3―
2
𝑁𝑂3―
ℎ𝜈
-1
This study
0.64
0.33
-0.64
-0.25
1.3 × 10-4 s-1
This study
-0.73
-0.26
0.30
0.03
𝐶𝑂2 →𝑂𝑁𝑂𝑂𝐶𝑂2―
3.0 × 104 M-1 s-1
48
-
-0.16
-0.51
-0.41
→𝑁𝑂3―
6.7 × 10 s
-1
49
-0.75
0.36
0.02
0.06
0.65
0.48
-0.19
-0.10
-0.05
-
-0.09
0.03
0.12
0.11
0.05
-0.12
0.05
-0.11
-0.12
-0.13
-0.29
0.62
-0.15
-0.27
0.07
0.06
0.20
-0.26
𝑂𝑁𝑂𝑂
4.6 × 10 s -4
―
ℎ𝜈
𝑁𝑂2∙ + 𝑂 ∙ ―
―
(𝑂
∙―
+ 𝐻 + →.𝑂𝐻)
3
𝑂𝑁𝑂𝑂
4
𝑂𝑁𝑂𝑂𝐶𝑂2―
5
𝑂𝑁𝑂𝑂𝐶𝑂2― →𝑁𝑂2∙ + 𝐶𝑂3∙ ―
3.3 × 105 s-1
49
6
𝐶𝑂3∙ ― + 𝐻𝐶𝑂𝑂 ― → 𝐶𝑂2∙ ― + 𝐻𝐶𝑂3―
1.1 × 105 M-1 s-1
50
7
.
3.2 × 10 M s
42
8
𝑁𝑂2∙ + 𝐻𝐶𝑂𝑂 ― → 𝑁𝑂2― + 𝐶𝑂2∙ ― + 𝐻 +
5.0 × 105 M-1 s-1
This study
9
𝐶𝑂2∙ ― + 𝐶𝑂2∙ ― → 𝐶2𝑂4―
6.5 × 108 M-1 s-1
51
10
𝐶𝑂2∙ ― + 𝑂2 → 𝐶𝑂2 + 𝑂2∙ ―
2.4 × 109 M-1 s-1
52
11
𝑁𝑂2―
7.9× 10 s
12
+
―
𝑂𝐻 + 𝐻𝐶𝑂𝑂 →
ℎ𝜈
∙
𝐶𝑂2∙ ― →
∙
𝑁𝑂 +
+ 𝐶𝑂2
𝐶𝑂2∙ ―
𝑁𝑂 + 𝑂
∙
5
∙―
9
+ 𝐻2𝑂
(𝑂
∙―
+𝐻
+
.
→ 𝑂𝐻)
𝑁𝑂𝐶𝑂2― 𝑁2𝑂2―
13
𝑁𝑂 +
14
𝑁2𝑂2―
∙
15
𝐻𝑁𝑂 + 𝐻𝑁𝑂→ 𝑁2𝑂 + 𝐻2𝑂
16
𝐻𝑁𝑂 + 𝐶𝑂2∙ ― + 𝐻2𝑂 → 𝐻2𝑁𝑂 ∙ + 𝑂𝐻 ― + 𝐶𝑂2
17 18
→ 𝑁𝑂 + 𝑁𝑂
This study
0.14
0.24
0.08
0.71
2.9 × 10 M s
53
-0.15
-0.41
0.25
0.02
6.8 × 10 M s
-1
53
-0.04
-0.02
-
-
-0.09
-0.07
0.15
0.01
0.03
-0.07
0.04
0.08
-0.08
0.14
-0.07
0.15
0.09
0.19
0.15
-0.16
0.01
-
0.02
0.02
-1
6
+ 𝐶𝑂2
(𝑁𝑂
―
+
+ 𝐻 → 𝐻𝑁𝑂)
-1
-1
-4
9
𝑁𝑂𝐶𝑂2― →
―
-1
6.6 × 10 s 4
-1 -1
54
-1
8.0 × 10 M s
-1
54
1.3 × 10 M s
-1
55
𝐻2𝑁𝑂 ∙ + 𝐻2𝑁𝑂 ∙ → 𝑁2 + 2𝐻2𝑂
2.8 × 108 M-1 s-1
55
𝑁2𝑂 + 𝐶𝑂2∙ ― + 𝐻2𝑂 → 𝑁2 + ∙ 𝑂𝐻 + 𝑂𝐻 ― + 𝐶𝑂2
1.6 × 103 M-1 s-1
56
6 7
-1 -1
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368 369
Scheme 1 Major reaction pathways in photochemical denitrification process. [Nitrate] = 2.0 mM, [Formate] = 6.2 mM, and pH = 7 with
370
20 mM phosphate buffer. All referred reactions were listed in Table 1.
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Figure 2 Electron paramagnetic spectra of DMPO-radical adducts formed after 20 minutes of
373
irradiation with medium-pressure UV lamp. [Nitrate] = 100 mM, [Formate] = 300 mM, [DMPO]=
374
100 mM, and pH = 7 with 200 mM phosphate buffer.
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375 376
Figure 3 Model-predicted cumulative contribution of relevant species to: (A) the formation of
377
CO2·-; and (B) the consumption of CO2·-. [Nitrate] = 2.0 mM, [Formate] = 6.2 mM, and pH = 7
378
with 20 mM phosphate buffer.
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Table 2 Impact of formate-to-nitrate molar ratio on denitrification and reaction stoichiometry
380
between formate and nitrate in deionized water at neutral pH. [Formate]/ [Nitrate] 0 1.1 1.7 3.1 5.8 11.3
Nitrate Nitrite Dissolved Formate Removal Formation Nitrogen Consumption (%) (%) Removal (%) (%) 53.6 52.0 0 54.9 52.6 0 100 69.6 51.8 17.4 100 97.9 0.53 97.1 93.5 100 0 99.0 50.9 100 0 99.6 29.2 Average Stoichiometry of Formate to Nitrate
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Experimental Δ[Formate]/ Δ[Nitrate ] 3.1 3.0 3.3 3.1 ± 0.2
Modeled Δ[Formate]/ Δ[Nitrate ] 3.1 3.2 3.2 3.2 ± 0.1
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A
B
C
D
382 383 384
Figure 4 Impact of pH on photochemical denitrification in the presence formate: (A) Nitrate
385
removal; (B) Total nitrite evolution; (C) Dissolved nitrogen removal; (D) Total formate
386
consumption. [Nitrate] = 2.0 mM, [Formate] = 6.2 mM, and pH = 2-11 with 20 mM phosphate
387
buffer. Total nitrite = nitrous acid + nitrite; Total formate = formic acid + formate.
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Figure 5 Impact of dissolved organic matter (DOM) on photochemical denitrification in the
390
presence formate: (A) Dissolved nitrogen removal; (B) Formate consumption; [Nitrate] = 2.0 mM,
391
[Formate] = 6.2 mM, [DOM] = 0-72 mg-C/L, and pH = 7 with 20 mM phosphate buffer
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Figure 6 Photochemical denitrification in the synthetic groundwater. Chemicals added in the
394
synthetic groundwater: [Formate] = 6.0 mM and pH = 7 with 20 mM phosphate buffer.
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References
396
1. The National Academic of Engineering (NAE) Grand Challenges for Engineering:
397
http://www.engineeringchallenges.org/challenges.aspx.
398
2. Kraft, B.; Tegetmeyer, H. E.; Sharma, R.; Klotz, M. G.; Ferdelman, T. G.; Hettich, R. L.;
399
Geelhoed, J. S.; Strous, M., The environmental controls that govern the end product of bacterial
400
nitrate respiration. Science 2014, 345 (6197), 676-679.
401 402 403 404
3. Zhang, X.; Davidson, E. A.; Mauzerall, D. L.; Searchinger, T. D.; Dumas, P.; Shen, Y., Managing nitrogen for sustainable development. Nature 2015, 528 (7580), 51-59. 4. Pennino, M. J.; Compton, J. E.; Leibowitz, S. G., Trends in Drinking Water Nitrate Violations Across the United States. Environ. Sci. Technol. 2017, 51 (22), 13450-13460.
405
5. Lindsey, B. D.; Rupert, M. G., Methods for evaluating temporal groundwater quality data and
406
results of decadal-scale changes in chloride, dissolved solids, and nitrate concentrations in
407
groundwater in the United States, 1988–2010. US Geological Survey Scientific Investigations
408
Report 2012, 5049 (2012), 46.
409 410
6. Rupert, M. G., Decadal-scale changes of nitrate in ground water of the United States, 1988– 2004. Journal of Environmental Quality 2008, 37 (5_Supplement), S-240-S-248.
411
7. Mohseni-Bandpi, A.; Elliott, D. J.; Zazouli, M. A., Biological nitrate removal processes from
412
drinking water supply-a review. Journal of environmental health science and engineering 2013,
413
11 (1), 35.
414 415 416 417
8. Gamble, T. N.; Betlach, M. R.; Tiedje, J. M., Numerically dominant denitrifying bacteria from world soils. Appl. Environ. Microbiol. 1977, 33 (4), 926-939. 9. Mellor, R. B.; Ronnenberg, J.; Campbell, W. H.; Diekmann, S., Reduction of nitrate and nitrite in water by immobilized enzymes. Nature 1992, 355 (6362), 717-719.
29 ACS Paragon Plus Environment
Environmental Science & Technology
418 419
10. Yoshinaga, Y.; Akita, T.; Mikami, I.; Okuhara, T., Hydrogenation of nitrate in water to nitrogen over Pd–Cu supported on active carbon. J. Catal. 2002, 207 (1), 37-45.
420
11. Zhang, F.; Jin, R.; Chen, J.; Shao, C.; Gao, W.; Li, L.; Guan, N., High photocatalytic activity
421
and selectivity for nitrogen in nitrate reduction on Ag/TiO2 catalyst with fine silver clusters. J.
422
Catal. 2005, 232 (2), 424-431.
423
12. Li, M.; Feng, C.; Zhang, Z.; Sugiura, N., Efficient electrochemical reduction of nitrate to
424
nitrogen using Ti/IrO2–Pt anode and different cathodes. Electrochim. Acta 2009, 54 (20), 4600-
425
4606.
426 427 428 429
13. Sparacino-Watkins, C.; Stolz, J. F.; Basu, P., Nitrate and periplasmic nitrate reductases. Chem. Soc. Rev. 2014, 43 (2), 676-706. 14. Yang, T.; Doudrick, K.; Westerhoff, P., Photocatalytic reduction of nitrate using titanium dioxide for regeneration of ion exchange brine. Water Res. 2013, 47 (3), 1299-1307.
430
15. Tugaoen, H. O. N.; Garcia-Segura, S.; Hristovski, K.; Westerhoff, P., Challenges in
431
photocatalytic reduction of nitrate as a water treatment technology. Sci. Total Environ. 2017,
432
599, 1524-1551.
433
16. Garcia-Segura, S.; Lanzarini-Lopes, M.; Hristovski, K.; Westerhoff, P., Electrocatalytic
434
reduction of nitrate: Fundamentals to full-scale water treatment applications. Applied Catalysis
435
B: Environmental 2018, 236, 546-568.
436 437
17. Mack, J.; Bolton, J. R., Photochemistry of nitrite and nitrate in aqueous solution: a review. J. Photochem. Photobiol. A: Chem. 1999, 128 (1), 1-13.
438
18. Goldstein, S.; Rabani, J., Mechanism of nitrite formation by nitrate photolysis in aqueous
439
solutions: the role of peroxynitrite, nitrogen dioxide, and hydroxyl radical. J. Am. Chem. Soc.
440
2007, 129 (34), 10597-10601.
30 ACS Paragon Plus Environment
Page 30 of 35
Page 31 of 35
Environmental Science & Technology
441
19. Brezonik, P. L.; Fulkerson-Brekken, J., Nitrate-induced photolysis in natural waters: controls
442
on concentrations of hydroxyl radical photo-intermediates by natural scavenging agents.
443
Environ. Sci. Technol. 1998, 32 (19), 3004-3010.
444
20. Bilski, P.; Chignell, C.; Szychlinski, J.; Borkowski, A.; Oleksy, E.; Reszka, K., Photooxidation
445
of organic and inorganic substrates during UV photolysis of nitrite anion in aqueous solution.
446
J. Am. Chem. Soc. 1992, 114 (2), 549-556.
447 448
21. Ford, C. L.; Park, Y. J.; Matson, E. M.; Gordon, Z.; Fout, A. R., A bioinspired iron catalyst for nitrate and perchlorate reduction. Science 2016, 354 (6313), 741-743.
449
22. Hamid, S.; Kumar, M. A.; Lee, W., Highly reactive and selective Sn-Pd bimetallic catalyst
450
supported by nanocrystalline ZSM-5 for aqueous nitrate reduction. Applied Catalysis B:
451
Environmental 2016, 187, 37-46.
452
23. Zhang, Z.; Xu, Y.; Shi, W.; Wang, W.; Zhang, R.; Bao, X.; Zhang, B.; Li, L.; Cui, F.,
453
Electrochemical-catalytic reduction of nitrate over Pd–Cu/γAl2O3 catalyst in cathode chamber:
454
Enhanced removal efficiency and N2 selectivity. Chem. Eng. J. 2016, 290, 201-208.
455 456
24. Koppenol, W.; Rush, J., Reduction potential of the carbon dioxide/carbon dioxide radical anion: a comparison with other C1 radicals. J. Phys. Chem. 1987, 91 (16), 4429-4430.
457
25. Liu, X.; Zhong, J.; Fang, L.; Wang, L.; Ye, M.; Shao, Y.; Li, J.; Zhang, T., Trichloroacetic acid
458
reduction by an advanced reduction process based on carboxyl anion radical. Chem. Eng. J.
459
2016, 303, 56-63.
460
26. Ren, H.; Hou, Z.; Han, X.; Zhou, R., Highly reductive radical CO2·- deriving from a system
461
with SO4·- and formate anion: Implication for reduction of Cr (VI) from wastewater. Chem.
462
Eng. J. 2017, 309, 638-645.
463
31 ACS Paragon Plus Environment
Environmental Science & Technology
464
27. Doudrick, K.; Yang, T.; Hristovski, K.; Westerhoff, P., Photocatalytic nitrate reduction in
465
water: Managing the hole scavenger and reaction by-product selectivity. Applied Catalysis B:
466
Environmental 2013, 136, 40-47.
467
28. Rice, E. W.; Rodger, B. B.; Andrew, D. E.; Lenore, S. C., Standard methods for examination
468
of water and wastewater-22nd Edition. In American Public Health Association: Washington, DC,
469
2012.
470
29. Ianni, J. C., A comparison of the Bader-Deuflhard and the Cash-Karp Runge-Kutta integrators
471
for the GRI-MECH 3.0 model based on the chemical kinetics code Kintecus. Computational
472
Fluid and Solid Mechanics 2003, 13681372, 2003.
473
30. Ianni, James C., Atropos, V1.00, 2003, http://www.kintecus.com/atropos.htm
474
31. Ianni, James C., Kintecus , Windows Version 6.01, 2017, www.kintecus.com.
475
32. Li, S.; Matthews, J.; Sinha, A., Atmospheric hydroxyl radical production from electronically
476
excited NO2 and H2O. Science 2008, 319 (5870), 1657-1660.
477
33. Huie, R. E., The reaction kinetics of NO2. Toxicology 1994, 89 (3), 193-216.
478
34. Zhao, Y.; Houk, K.; Olson, L. P., Mechanisms of peroxynitrous acid and methyl peroxynitrite,
479
ROONO (R= H, Me), rearrangements: A conformation-dependent homolytic dissociation. The
480
Journal of Physical Chemistry A 2004, 108 (27), 5864-5871.
481
35. Villamena, F. A.; Locigno, E. J.; Rockenbauer, A.; Hadad, C. M.; Zweier, J. L., Theoretical
482
and experimental studies of the spin trapping of inorganic radicals by 5, 5-dimethyl-1-pyrroline
483
N-oxide (DMPO). 1. Carbon dioxide radical anion. The Journal of Physical Chemistry A 2006,
484
110 (49), 13253-13258.
485 486
36. Lide, D. R. CRC Handbook of Chemistry and Physics, 73rd ed.; CRC Press: Boca Raton, FL, 1999.
32 ACS Paragon Plus Environment
Page 32 of 35
Page 33 of 35
Environmental Science & Technology
487
37. Brown, L. S.; Lanyi, J. K., Determination of the transiently lowered pKa of the retinal Schiff
488
base during the photocycle of bacteriorhodopsin. Proceedings of the National Academy of
489
Sciences 1996, 93 (4), 1731-1734.
490 491
38. Anastasio, C.; Chu, L., Photochemistry of nitrous acid (HONO) and nitrous acidium ion (H2ONO+) in aqueous solution and ice. Environ. Sci. Technol. 2009, 43 (4), 1108-1114.
492
39. Madsen, D.; Larsen, J.; Jensen, S. K.; Keiding, S. R.; Thøgersen, J., The primary
493
photodynamics of aqueous nitrate: Formation of peroxynitrite. J. Am. Chem. Soc. 2003, 125
494
(50), 15571-15576.
495
40. Mckay, G.; Huang, W.; Romera-Castillo, C.; Crouch, J. E.; Rosario-Ortiz, F. L.; Jaffé, R.,
496
Predicting reactive intermediate quantum yields from dissolved organic matter photolysis using
497
optical properties and antioxidant capacity. Environ. Sci. Technol. 2017, 51 (10), 5404-5413.
498
41. Westerhoff, P.; Mezyk, S. P.; Cooper, W. J.; Minakata, D., Electron pulse radiolysis
499
determination of hydroxyl radical rate constants with Suwannee River fulvic acid and other
500
dissolved organic matter isolates. Environ. Sci. Technol. 2007, 41 (13), 4640-4646.
501
42. Buxton, G. V.; Greenstock, C. L.; Helman, W. P.; Ross, A. B., Critical review of rate constants
502
for reactions of hydrated electrons, hydrogen atoms and hydroxyl radicals (⋅OH/⋅O- in aqueous
503
solution. J. Phys. Chem. Ref. Data 1988, 17 (2), 513-886.
504
43. Scharko, N. K.; Martin, E. T.; Losovyj, Y.; Peters, D. G.; Raff, J. D., Evidence for Quinone
505
Redox Chemistry Mediating Daytime and Nighttime NO2-to-HONO Conversion on Soil
506
Surfaces. Environ. Sci. Technol. 2017, 51 (17), 9633-9643.
507
44. Tugaoen, H. O. N.; Herckes, P.; Hristovski, K.; Westerhoff, P., Influence of ultraviolet
508
wavelengths on kinetics and selectivity for N-gases during TiO2 photocatalytic reduction of
509
nitrate. Applied Catalysis B: Environmental 2018, 220, 597-606.
33 ACS Paragon Plus Environment
Environmental Science & Technology
510
45. Miklos, D. B.; Remy, C.; Jekel, M.; Linden, K. G.; Drewes, J. E.; Hübner, U., Evaluation of
511
advanced oxidation processes for water and wastewater treatment–A critical review. Water Res.
512
2018.
513 514
46. von Gunten, U., Oxidation Processes in Water Treatment: Are We on Track? Environ. Sci. Technol. 2018, 52 (9), 5062-5075.
515
47. Smith, R. L.; Miller, D. N.; Brooks, M. H.; Widdowson, M. A.; Killingstad, M. W., In situ
516
stimulation of groundwater denitrification with formate to remediate nitrate contamination.
517
Environ. Sci. Technol. 2001, 35 (1), 196-203.
518 519
48. Lymar, S. V.; Hurst, J. K., Rapid reaction between peroxonitrite ion and carbon dioxide: Implications for biological activity. J. Am. Chem. Soc. 1995, 117 (34), 8867-8868.
520
49. Kirsch, M.; Korth, H.-G.; Wensing, A.; Sustmann, R.; de Groot, H., Product formation and
521
kinetic simulations in the pH range 1–14 account for a free-radical mechanism of peroxynitrite
522
decomposition. Arch. Biochem. Biophys. 2003, 418 (2), 133-150.
523
50. Chen, S.-N.; Cope, V. W.; Hoffman, M. Z., Behavior of carbon trioxide (-) radicals generated
524
in the flash photolysis of carbonatoamine complexes of cobalt (III) in aqueous solution. The
525
Journal of Physical Chemistry 1973, 77 (9), 1111-1116.
526
51. Mulazzani, Q. G.; D'Angelantonio, M.; Venturi, M.; Hoffman, M. Z.; Rodgers, M. A.,
527
Interaction of formate and oxalate ions with radiation-generated radicals in aqueous solution.
528
Methylviologen as a mechanistic probe. The Journal of Physical Chemistry 1986, 90 (21), 5347-
529
5352.
530 531
52. Adams, G.; Willson, R., Pulse radiolysis studies on the oxidation of organic radicals in aqueous solution. Transactions of the Faraday Society 1969, 65, 2981-2987.
34 ACS Paragon Plus Environment
Page 34 of 35
Page 35 of 35
532 533
Environmental Science & Technology
53. Czapski, G.; Holcman, J.; Bielski, B. H., Reactivity of nitric oxide with simple short-lived radicals in aqueous solutions. J. Am. Chem. Soc. 1994, 116 (25), 11465-11469.
534
54. Shafirovich, V.; Lymar, S. V., Nitroxyl and its anion in aqueous solutions: spin states, protic
535
equilibria, and reactivities toward oxygen and nitric oxide. Proceedings of the National
536
Academy of Sciences 2002, 99 (11), 7340-7345.
537
55. Goldstein, S.; Behar, D.; Rajh, T.; Rabani, J., Nitric Oxide Reduction to Ammonia by TiO2
538
Electrons in Colloid Solution via Consecutive One-Electron Transfer Steps. The Journal of
539
Physical Chemistry A 2015, 119 (12), 2760-2769.
540
56. Al-Sheikhly, M. I.; Schuchmann, H.-P.; von Sonntag, C., γ-Radioloysis of N2O-saturated
541
Formate Solutions. A Chain Reaction. Int. J. Radiat. Biol. Relat. Stud. Phys. Chem. Med. 1985,
542
47 (4), 457-462.
35 ACS Paragon Plus Environment