A mechanistic understanding of the degradation of trace organic contaminants by UV/hydrogen peroxide, UV/persulfate and UV/free chlorine for water reuse

Wei Li ab, Tushar Jain a, Kenneth Ishida c and Haizhou Liu *ab
aDepartment of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521 USA. E-mail: haizhou@engr.ucr.edu; Tel: +1 (951) 827 2076
bEnvironmental Toxicology Program, University of California, Riverside, CA, 92521 USA
cOrange County Water District, Fountain Valley, CA, 92708 USA

Received 14th September 2016 , Accepted 14th October 2016

First published on 18th October 2016


Abstract

Climate change and population growth pose increasing challenges to the availability of freshwater resources. Ultraviolet-based advanced oxidation processes (UV/AOPs) are promising water reuse technologies that increase drinking water supplies through wastewater reuse. This study examined the fundamental mechanisms of contaminant degradation and reactive species generation in three UV/AOPs, i.e., UV/hydrogen peroxide (H2O2), UV/persulfate (S2O82−) and UV/chlorine (HOCl), on the basis of combined experimental investigation and kinetic modeling on the degradation of six representative trace organic contaminants. The formation and distribution of reactive radicals including hydroxyl radical (HO˙), sulfate radical (SO4˙), and chlorine atom (Cl˙) were investigated. Results showed that the treatment efficiency of contaminants generally followed the order UV/S2O82− > UV/H2O2 > UV/HOCl under chemical conditions relevant to treatment train steps utilized in water reuse. The generation of HO˙ was important in UV/H2O2, whereas both SO4˙ and HO˙ were important in UV/S2O82− and CO3˙ predominated in UV/HOCl. Among the three UV/AOPs, the treatment efficiency of UV/S2O82− was most sensitive to pH, chloride, and inorganic carbon. The combined experimental and modeling approach provided guidance for the design and optimization of UV/AOP systems for water reuse under diverse chemical conditions.



Water impact

In this work, we developed a comprehensive kinetics model to simulate and examine the fundamental radical photochemistry in UV-based advanced oxidation processes (UV/AOPs). This is a novel approach to understand fundamental radical chemistry in AOPs, estimate treatment performance based on diverse water chemistry and provide guidance to water utilities to improve treatment efficiency on trace organic contaminants for water reuse. This manuscript will be of interest to scientists, engineers and practitioners concerned with emerging contaminant removal by UV-based AOPs for wastewater recycling and reuse.

1. Introduction

Water scarcity is one of the most challenging global issues. The availability of high-quality freshwater sources continues to decrease due to population growth, urbanization and climate change.1,2 To address water scarcity, potable water reuse – a viable means to increase drinking water supplies from untraditional sources including treated wastewater – has been proposed and employed in recent decades.3–5 It is estimated that approximately 12 billion gallons of municipal wastewater effluent are discharged to the ocean in the U.S. daily; this is equivalent to 27% of the total U.S. public water supply.2 Reclamation of these effluent discharges would directly augment available drinking water resources. Currently, only approximately 10% of the effluent is reused in the U.S.2

Conventionally treated wastewater effluent contains a variety of trace organic contaminants including pesticides, pharmaceuticals and personal care products.6–9 Ultraviolet-based advanced oxidation processes (UV/AOPs) have been increasingly required as part of the treatment train process to remove these contaminants. During UV treatment, an oxidant is photolyzed to generate short-lived radicals. Hydrogen peroxide (H2O2) is the most widely used oxidant to generate reactive hydroxyl radicals (HO˙) (reaction (1)):

 
image file: c6ew00242k-t1.tif(R1)
Recently, UV/persulfate (S2O82−) has been proposed and sulfate radicals (SO4˙) are generated as the radical initiation step (reaction (2)):
 
image file: c6ew00242k-t2.tif(R2)

SO4˙ has a similar oxidizing power (image file: c6ew00242k-t3.tif) compared to HO˙ (image file: c6ew00242k-t4.tif), but possesses higher reaction rate constants with electron-rich contaminants.10 This feature has made SO4˙ an efficient oxidant for groundwater remediation.11,12 Furthermore, S2O82− has a 40% higher quantum yield (Φ = 0.7, reaction (2))13 compared to H2O2 under UV irradiation at 254 nm (Φ = 0.5, reaction (1)),14 thus generating more radicals than H2O2.

In addition, UV/chlorine (denoted as UV/HOCl) has become more popular in recent years.15–18 Chlorine is the most commonly used disinfectant and can be combined with a UV source as an AOP system.19,20 HOCl in solution exists as hypochlorous acid (HOCl) or hypochlorite ion (OCl) with a pKa of 7.6. Photolysis of chlorine can simultaneously produce HO˙ and chlorine atom (Cl˙):

 
image file: c6ew00242k-t5.tif(R3)
 
image file: c6ew00242k-t6.tif(R4)

The redox potential of Cl˙ is comparable to that of HO˙ and SO4˙ (image file: c6ew00242k-t7.tif).21 can further react with H2O to generate HO˙.22 The quantum yield of HOCl is 40% higher than that of OCl (Φ = 0.7 in reaction (3)vs. Φ = 0.5 in reaction (4)).23,24

A better understanding of the detailed mechanisms of radical distribution and transformation in UV/AOPs associated with contaminant removal is needed. Hundreds of radical reactions can impact the reaction pathways. While it is impossible to directly measure each radical under different chemical conditions, the application of a kinetic model can provide valuable insight into the radical pathways and predict the performance of AOPs. Prior studies have developed a variety of models including the steady-state radical model,25–32 AdOx model,33 probe model34 and computational fluid dynamic model.35–37 Although prior models had good estimations, there lacks a comprehensive model that can predict different UV/AOP performances in chemical conditions relevant to potable water reuse.

Ultimately, the efficiency of UV/AOPs in contaminant removal depends on the yields of reactive radicals (e.g., HO˙, SO4˙, and Cl˙), their reactivities with specific contaminants, and the solution chemical conditions that can impact the distribution and transformation of radicals. Solution chemical conditions including pH, bicarbonate, chloride and bromide can transform HO˙, SO4˙, and Cl˙ into secondary radicals such as carbonate radical (CO3˙) and reactive halide radicals (e.g., Cl2˙, ClOH˙ and Br˙). These secondary radicals can exhibit distinct reactivities with trace organic contaminants compared to primary radicals, and consequently impact the rate of contaminant degradation.22,38

The objective of this work was to develop a kinetic model in order to investigate radical generation mechanisms in three UV/AOP systems, i.e., UV/H2O2, UV/S2O82− and UV/HOCl. The kinetic model was further employed to predict the degradation of trace contaminants in complex chemical conditions relevant to potable water reuse. Selective experiments were also conducted, together with the validated model, to elucidate the impact of individual chemical parameters including pH, chloride and organic carbon on UV/AOP performance for water reuse. The versatile kinetic model provides a useful tool to compare the performances of different UV/AOP systems for treating a variety of contaminants of concern in a complex environment. It ultimately provides water utilities with a better direction for the design of UV/AOPs based on varying water chemical conditions.

2. Materials and methods

2.1 Modeling of radical reactions in UV/AOPs

The photolysis rate (rp) of H2O2, S2O82− and HOCl using a monochromatic low-pressure high-output (LPHO) mercury vapor UV lamp (λ = 254 nm) was calculated as:
 
rp = −2 × Φ × I0 × foxidant × fsolution(E1)
where Φ is the primary quantum yield of the oxidant (moles per einstein), I0 is the volume-normalized surface irradiance from the UV reactor (einsteins L−1 s−1) that was calculated as 1.27 × 10−5 einstein L−1 s−1 based on a single UV flow-through reactor (Trojan Technologies, London, ON) (detailed information is provided in Text S1 and Scheme S1 of the ESI), foxidant is the fraction of incident light absorbed by the oxidant and fsolution is the fraction absorbed by the total solution.
 
image file: c6ew00242k-t8.tif(E2)
 
image file: c6ew00242k-t9.tif(E3)
α is the absorption coefficient of the solution at the wavelength of 254 nm; εp and cp are the molar extinction coefficient and the concentration of the oxidant, respectively (M−1 cm−1 and M); εi and ci are the molar extinction coefficient and concentration of solution constituents, including natural organic matter (NOM) and contaminants; and l is the effective light path of the reactor (cm). A total of 221 elemental reactions were incorporated into the model (Table S1 in the ESI). Major radical reactions are listed in Table 1. The kinetic model was built on the platform of Kintecus 4.55 software.39
Table 1 Major radical chain reactions that impact the distribution of radicals in UV/AOPs
No. Reaction Rate constant Ref.
1 image file: c6ew00242k-t10.tif 1.0 × 10−3 s−1 This study
2 image file: c6ew00242k-t11.tif 1.4 × 10−3 s−1 This study
3 image file: c6ew00242k-t12.tif 3.9 × 10−3 s−1 This study
4 image file: c6ew00242k-t13.tif 3.2 × 10−3 s−1 This study
5 SO4˙ + H2O → HSO4 + HO˙ 6.6 × 102 s−1 68
6 SO4˙ + Cl → SO42− + Cl˙ 3.0 × 108 M−1 s−1 69
7 Cl˙ + H2O → ClOH˙ + H+ 2.5 × 105 s−1 21
8 Cl˙ + Cl → Cl2˙ 8.5 × 109 M−1 s−1 70
9 Cl2˙ + OH → Cl + ClOH˙ 4.5 × 107 M−1 s−1 71
10 ClOH˙ → HO˙ + Cl 6.1 × 109 s−1 21
11 HOCl + HO˙ → ClO˙ + H2O 2.0 × 109 M−1 s−1 72
12 HCO3 + HO˙ → CO3˙ + H2O 8.6 × 106 M−1 s−1 22
13 HCO3 + SO4˙ → CO3˙ + SO42− + H+ 9.1 × 106 M−1 s−1 73
14 HCO3 + Cl˙ → CO3˙ + Cl + H+ 2.2 × 108 M−1 s−1 61
15 HO[thin space (1/6-em)]˙[thin space (1/6-em)] + Br → BrOH˙ 1.1 × 1010 M−1 s−1 72
16 SO4˙ + Br → Br˙ + SO42− 3.5 × 109 M−1 s−1 61
17 Cl˙ + Br↔ClBr˙ 1.2 × 1010 M−1 s−1 72
18 ClBr˙ → Cl + Br˙ 6.1 × 104 s−1 74
19 BrOH˙ → HO˙ + Br 3.3 × 107 s−1 75
20 HO˙ + Cl → ClOH˙ 4.3 × 109 M−1 s−1 21
21 Cl2˙ + HCO3 → CO3˙ + 2Cl + H+ 8.0 × 107 M−1 s−1 72
22 S2O82− + Cl˙ → S2O8˙ + Cl 8.8 × 106 M−1 s−1 76


2.2 Modeling of contaminant removal

Six representative trace organic contaminants were selected in this study due to their wide presence in wastewater effluent (Table S2). 1,4-Dioxane is a widely used industrial solvent40 with a drinking water notification level of 1 μg L−1.41 Phenol is a typical transformation product from aromatic contaminants.42,43 17β-Estradiol is a natural estrogenic hormone.44 Anilines, sulfamethoxazole and carbamazepine are frequently prescribed pharmaceuticals found in wastewater.45–47

Based on the kinetic model, the overall degradation rate of each contaminant (k) was a summation of the direct photolysis rate (kd), indirect photolysis rate (ki) and direct chemical reaction rate with an oxidant (ko):

 
k = kd + ki + ko(E4)

k d is the direct photolysis rate for the test chemicals exposed to UV radiation based on eqn (E1)–(E3). ki is controlled by reactions between the contaminant and each individual reactive radical:

 
image file: c6ew00242k-t14.tif(E5)

[R˙]ss is the steady-state concentration of each individual radical R˙. It is determined by the photolysis rate of an oxidant (rp) and the consumption rate of scavenging reactions:

 
image file: c6ew00242k-t15.tif(E6)

[scavenger]i is the concentration of scavengers, e.g., Cl, HCO3, Br, and NOM. k is the second-order rate constant of a reaction between a contaminant and R˙ (Table S3). kR,s is the rate constant of a reaction between R˙ and a scavenger. These values were obtained from radiolysis literature or estimated based on prior literature.48 When the rate constants were estimated (Table S3), the reaction rates were averaged by using the highest possible rate constants and the lowest possible rate constants, and the uncertainty was represented as error bars. Although the transformation products of contaminants can react with radicals, those reactions were not considered in the kinetic model due to their lower concentrations and resultant smaller branching ratios in competitive kinetics.

k o was only considered important during chlorine oxidation of aniline and carbamazepine in UV/HOCl.49 In those cases, ko was calculated as kHOCl[HOCl], where kHOCl is the second-order rate constant between the contaminant and chlorine, and [HOCl] is the concentration of hypochlorous acid. Rate in eqn (E4) is normalized by UV irradiance and expressed in units of cm2 mW−1 s−1. Reactions with OCl were not considered because OCl was not the major free chlorine species at pH 5.8 (pKa = 7.53).

In water reuse, UV/AOP is typically applied after reverse osmosis (RO) membrane treatment. Therefore, the solution chemistry of UV/AOP is characteristic of RO permeate. Three important water chemical parameters associated with RO permeate were examined: pH, chloride, and carbonate. Trace levels of bromide and NOM were also present (Table 2). The ranges of concentrations were selected based on a water reuse facility in Southern California and would be applicable to UV/AOP coupled with RO in a typical treatment train step utilized for potable water reuse. Concentrations of trace organic contaminants in wastewater effluent are in the range of nM and μM.42,50–53 In this study the initial concentrations of contaminants were set at 50 nM.54

Table 2 Chemical compositions for selected water matrix
Chemical parameter RO permeatea Typical range Unit
a RO permeate water quality chosen in this study based on data from a wastewater reuse treatment facility in Southern California. Typical nitrate (NO3) concentration in RO permeate ranges from 10 to 20 μM. The absorption coefficient at 254 nm and the quantum yield for HO˙ are low;77,78 therefore, the contribution of NO3 is not considered in the model.
Chloride 80 10–280 μM
Inorganic carbon 200 40–400 μM
Bromide 0.2 0–2.0 μM
TOC 0.15 0.15 mg C L−1
pH 5.8 5–7
Trace organic contaminant 50 50 nM


2.3 Experimental investigation of UV/AOP performance

All chemicals used were ACS reagent grade and used without further purification. 1,4-Dioxane degradation by UV/H2O2, UV/S2O82− and UV/HOCl was conducted using a carousel photochemical reactor (ACE Glass Inc.) equipped with a 6 W monochromatic UV lamp with a wavelength of 254 nm. A solution containing 2 mM oxidant (H2O2, S2O82−, or HOCl) and 250 μM 1,4-dioxane in synthetic RO permeate (Table 2) was prepared. A combination of 10 μM benzoic acid, 20 μM nitrobenzene and 20 μM N,N-dimethylaniline was added as probe compounds for HO˙, SO4˙, Cl˙, Cl2˙ and CO3˙ (detailed calculation of steady-state concentrations of radicals is described in Text S2). To start a UV experiment, the reaction solution was transferred to multiple 8 mL quartz tubes without headspace and placed on the UV carousel reactor. At targeted time intervals, samples from sacrificial quartz tubes were withdrawn from the reactor. The concentration of the oxidant was measured using a standard colorimetric method.55,56 The samples were further quenched with methanol and analyzed for concentrations of trace organic contaminants and probe compounds using an Agilent-1200 liquid chromatography system equipped with a diode array detector and a Zorbax Eclipse SB-C18 column (4.6 × 150 mm, 5 μm particle size).

3. Results and discussion

3.1 Degradation of contaminants in RO permeate by three UV/AOPs

The modeling predicted UV photolysis rates of oxidants in the order HOCl > S2O82− > H2O2 (reactions 1–4 in Table 1; all reactions henceforth refer to Table 1). The photolysis rates of HOCl and S2O82− were approximately 300% and 40% higher than that of H2O2, respectively (Fig. S1A). The degradation rates (k) of the selected organic contaminants varied by more than one order of magnitude among UV/H2O2, UV/S2O82−, and UV/HOCl (Fig. 1).
image file: c6ew00242k-f1.tif
Fig. 1 The comparison of three UV/AOP systems on the degradation of six selected trace organic contaminants based on the kinetic model. [Oxidant] = 88 μM, [contaminant] = 50 nM, [Cl] = 80 μM, [inorganic carbon] = 0.2 mM, [Br] = 0.2 μM, TOC = 0.15 mg C L−1, pH = 5.8, UV irradiance = 45 mW cm−2.

In UV/H2O2, the irradiance-normalized rates ranged from 5.6 × 10−4 to 4.5 × 10−3 cm2 mW−1 s−1. HO˙ contributed the most to the contaminant degradation with the exception that CO3˙ was important for aniline and sulfamethoxazole degradation. Direct photolysis was only important for sulfamethoxazole, which was also reported previously.57

In UV/S2O82−, the degradation rates ranged from 1.1 × 10−3 to 6.8 × 10−3 cm2 mW−1 s−1, i.e., 24–470% higher than those in UV/H2O2. Both HO˙ and SO4˙ are important for contaminant degradation. The contribution by Br˙ was also significant for carbamazepine, phenol, 17β-estradiol and aniline.

In UV/HOCl, the degradation rates ranged from 2.3 × 10−4 to 2.6 × 10−2 cm2 mW−1 s−1, i.e., 56–73% lower than those in UV/H2O2 (Fig. 1), mainly due to a lower yield of HO˙ in RO permeate chemical conditions in UV/HOCl. The exceptions were for carbamazepine, aniline and sulfamethoxazole wherein the contributions by Br˙, CO3˙, and HOCl chemical oxidation were also important. The log removal varied from 0.1 to 13.5 with a UV dosage of 1178 mJ cm−2 (Fig. S1B). Generally, higher log removal could be achieved in UV/S2O82−, followed by UV/H2O2, and then UV/HOCl except for aniline and sulfamethoxazole, which achieved better log removal in UV/HOCl.

3.2 Mechanisms of the degradation of contaminants in UV/AOPs

Scheme 1 illustrates major reaction pathways of radical generation and distribution in the presence of Cl, HCO3, and Br. Although the three UV/AOPs exhibited different photolysis rates at the radical initiation steps, they share similar radical transformation pathways.
image file: c6ew00242k-s1.tif
Scheme 1 Generation and transformation of radicals from UV/H2O2, UV/S2O82− and UV/HOCl in the presence of chloride and inorganic carbon. All referred reactions are listed in Table 1.
3.2.1 Contribution of HO˙. HO˙ is one of the most reactive radicals. It reacts non-selectively with organics at the near diffusion-limited rate constants of approximately 1010 M−1 s−1.48,58 It reacted with the six select contaminants with rate constants between 2.1 × 109 and 1.4 × 1010 M−1 s−1 (Table S3). In UV/H2O2, HO˙ was the major radical ([HO˙]ss = 1.2 × 10−11 M, Table 3) and contributed significantly to contaminant degradation (Fig. 1). More HO˙ was generated in UV/S2O82− compared to UV/H2O2 with a steady-state concentration 65% higher than that of SO4˙ (Table 3). The higher radical yield in UV/S2O82− was mainly due to the higher photolysis rate of S2O82− compared to H2O2 (reactions 1 and 2, Table 1). The contribution to contaminant degradation by HO˙ was 20% higher in UV/S2O82− than that in UV/H2O2 (Fig. 1). HO˙ was generated from SO4˙via two pathways: hydrolysis of SO4˙ (reaction 5) and Cl scavenging effects on SO4˙ to produce Cl˙ (reactions 6–10). In contrast, the contribution of HO˙ was significantly less in UV/HOCl (Fig. 1). This was mainly due to a strong scavenging effect of HOCl on HO˙ (reaction 11).
Table 3 The steady-state concentrations of radicals in three UV/AOPs. The calculation was based on a typical RO permeate chemical matrix with 88 μM oxidant and 1178 mJ cm−2 of UV irradiation
Radical Quasi steady-state concentration, [R˙]ss (M)
UV/H2O2 UV/S2O82− UV/HOCl
HO˙ 1.2 × 10−11 1.5 × 10−11 2.6 × 10−12
SO4˙ 8.8 × 10−12
CO3˙ 7.0 × 10−11 1.9 × 10−11 5.1 × 10−10
Cl˙ 5.2 × 10−17 6.8 × 10−13 4.9 × 10−13
Cl2˙ 5.4 × 10−16 7.0 × 10−12 5.5 × 10−12
ClOH˙ 7.0 × 10−16 8.5 × 10−16 1.8 × 10−16
Br˙ 9.2 × 10−15 3.8 × 10−11 1.4 × 10−11
Br2˙ 1.3 × 10−15 4.5 × 10−12 1.8 × 10−12
ClBr˙ 1.3 × 10−15 4.8 × 10−12 2.0 × 10−12
BrOH˙ 7.3 × 10−16 8.3 × 10−16 1.7 × 10−16


3.2.2 Contribution of SO4˙. SO4˙ generated in UV/S2O82− is reactive with compounds containing electron-donating functional groups including olefinic bonds, amine and hydroxyl groups.59–61 Therefore, carbamazepine, phenol, aniline and sulfamethoxazole were reactive with SO4˙ (kSO4˙kHO˙ ≈ 109 M−1 s−1), whereas 1,4-dioxane and 17β-estradiol exhibited much slower reactivity with SO4˙ than with HO˙ (i.e., kSO4˙ ≤ 10% × kHO˙). As a result, these four contaminants exhibited enhanced degradation rates in UV/S2O82− compared to UV/H2O2 (Fig. 1).
3.2.3 Contribution of CO3˙. CO3˙ was a major radical that formed in all three UV/AOPs (Table 3). CO3˙ was generated via the transformation of HO˙, SO4˙ and Cl˙ in the presence of bicarbonate (reactions 12–14). The effect was strongest in UV/HOCl because HCO3 reacts with Cl˙ 25 times faster than with HO˙ or SO4˙. However, CO3˙ reacts selectively towards compounds with amine and sulfur groups.62,63 Amine-containing aniline and sulfamethoxazole react faster with CO3˙ (kCO3˙ >108 M−1 s−1, Table S3), and their degradation was significantly enhanced in UV/HOCl in addition to direct photolysis and direct oxidation by HOCl (Fig. 1).
3.2.4 Contribution of reactive halide radicals. Two groups of halide radicals were generated by UV/AOP in the presence of Cl and Br: reactive chlorine species (RCS) and reactive bromine species (RBS). RCS including Cl˙, Cl2˙ and ClOH˙ can react with contaminants with rate constants as high as 109 M−1 s−1 (Table S3), but their steady-state concentrations were orders of magnitude lower than those of HO˙, SO4˙, and CO3˙ (Table 3). As a result, contributions from RCS to contaminant degradation were limited. RBS include Br˙, Br2˙, BrOH˙, and ClBr˙, but only Br˙ is considered reactive with contaminants.48 Br reacted with HO˙, SO4˙, and Cl˙ to produce BrOH˙, Br˙, and ClBr˙, respectively (reactions 15–19). Br˙ reacts with organic contaminants in similar mechanisms to HO˙ with reaction rate constants of 109–1010 M−1 s−1.48,64

3.3 Model validation

1,4-Dioxane and phenol degradation by UV/AOP were examined by bench-scale experiments. The kinetic model predictions matched well with the experimental data (Fig. S2 and S3). Approximately 0.5 to 1.0 log of removal was achieved for 1,4-dioxane and phenol, respectively. In UV/S2O82−, both SO4˙ and HO˙ contributed to 1,4-dioxane degradation, but only SO4˙ was important for phenol degradation. In UV/H2O2, HO˙ was the major reactive radical. In UV/HOCl, because of the natural co-existence of chloride in free chlorine solution, chlorine dimer Cl2˙ was produced and contributed significantly to 1,4-dioxane degradation, whereas for phenol, direct oxidation by HOCl was predominant (Fig. S4). The experimental data validated the kinetic model.

3.4 Impact of water chemical conditions on UV/AOP performance

3.4.1 Impact of pH. The kinetic modeling results showed that UV/S2O82− was the most sensitive to pH (Fig. 2A). [HO˙]ss decreased by 50% as pH increased from 5 to 7, while the [CO3˙]ss increased by 800% with the same pH increase (Fig. 2B). As pH was increased, HCO3 became the predominant carbonate species (pKa = 6.35). This resulted in a faster transformation of Cl˙ to CO3˙ compared to the formation of HO˙ via Cl˙ (reaction 14 vs. reactions 7–10). [SO4˙]ss was not sensitive to pH because the scavenging effect of SO4˙ by HCO3 was negligible compared to the scavenging effect of Cl (reaction 6 vs. reaction 13, Table 1). Therefore, a reduction in contaminant degradation with increasing pH was observed in UV/S2O82− due to the decrease in [HO˙]ss (Fig. 2A).
image file: c6ew00242k-f2.tif
Fig. 2 The effect of pH on the treatment efficiency of UV/S2O82− based on the kinetic model. (A) First-order degradation rates of organic contaminants in treatment and (B) radical distribution. [S2O82−] = 88 μM, [trace organic contaminant] = 50 nM, [Cl] = 80 μM, [inorganic carbon] = 0.2 mM, [Br] = 0.2 μM, TOC = 0.15 mg C L−1, UV irradiance = 45 mW cm−2.

UV/H2O2 was not sensitive to pH between 5 and 7 under RO permeate chemical conditions (Fig. S5A). As the major radical, [HO˙]ss was insensitive to pH (Fig. S5B). HO˙ was predominantly scavenged by Cl to generate ClOH˙ (reaction 20), but the dissociation of ClOH˙ produced HO˙ (reaction 10). Therefore, the rate of contaminant degradation remained more or less constant with pH changes (Fig. S5A).

UV/HOCl was modestly sensitive to pH (Fig. S6A). The steady-state concentrations of HO˙, Cl˙ and Br˙ decreased with increasing pH, mainly due to the scavenging effects of HCO3 (Fig. S6B). [HO˙]ss decreased faster than [Cl˙]ss and [Br˙]ss because of a stronger scavenging effect of HCO3 on HO˙ (reactions 12 and 21). These scavenging effects resulted in a dramatic increase in [CO3˙]ss (Fig. S6B). Overall, the rate of contaminant decay decreased by 43% as pH increased from 5 to 7 except for aniline and sulfamethoxazole that were very reactive with CO3˙ (Fig. S6A). The increase in pH also led to the conversion of HOCl to OCl (pKa = 7.6), resulting in a decrease in direct oxidation of aniline by HOCl.

3.4.2 Impact of chloride. UV/S2O82− was most sensitive to chloride among the three UV/AOPs (Fig. 3A). When Cl concentration was increased from 10 to 280 μM, [SO4˙]ss decreased by 94% due to the scavenging effect of Cl, [HO˙]ss remained stable and [CO3˙]ss increased by 140% (Fig. 3A). HO˙ initially increased with increasing chloride concentration due to the hydrolysis of Cl˙ (reactions 7 and 10) and generation of more HO˙. However, when the Cl concentration was increased above 30 μM, Cl2˙ formation and its transformation to CO3˙ became the major pathway (reactions 8 and 21). The rates of contaminant degradation generally decreased with increasing Cl concentrations (Fig. 3A).
image file: c6ew00242k-f3.tif
Fig. 3 The effect of chloride on the treatment efficiency of UV/S2O82− based on the kinetic model. (A) First-order degradation rates of organic contaminants in treatment and (B) radical distribution. [S2O82−] = 88 μM, [trace organic contaminant] = 50 nM, pH = 5.8, [inorganic carbon] = 0.2 mM, [Br] = 0.2 μM, TOC = 0.15 mg C L−1, UV irradiance = 45 mW cm−2.

UV/H2O2 was not sensitive to chloride (Fig. S7A). Both [HO˙]ss and [CO3˙]ss remained stable with changing Cl concentration (Fig. S7B). Although chloride can scavenge HO˙ (reaction 20), the dissociation of ClOH˙ quickly regenerated HO˙, dampening the effects of chloride (reactions 8–10). Because the formation of CO3˙ was mainly via HO˙ (reaction 12), [CO3˙]ss also remained stable.

In UV/HOCl, the change in Cl concentration did not strongly affect [HO˙]ss; however, it decreased [Cl˙]ss by 27% and increased [CO3˙]ss by 400% (Fig. S8B). This is caused by the conversion of Cl˙ to CO3˙ (reaction 14). Consequently, this resulted in an enhanced degradation of 17β-estradiol, aniline and sulfamethoxazole (Fig. S8A).

3.4.3 Impact of inorganic carbon. UV/S2O82− was most sensitive to inorganic carbon (TOTCO3) (Fig. S9A). When TOTCO3 increased from 40 to 400 μM, [SO4˙]ss decreased by 5%, [HO˙]ss decreased by 33% and [CO3˙]ss increased by 600% (Fig. S9B). The reduction of [HO˙]ss was due to the scavenging effect of HCO3 on Cl˙ (reaction 14), which subsequently suppresses HO˙ formation via a ClOH˙ pathway (reactions 8–10). Consequently, the rates of contaminant degradation decreased with increasing TOTCO3 (Fig. S9A).

In contrast, UV/H2O2 was not sensitive to inorganic carbon (Fig. S10A). [HO˙]ss remained stable with changing TOTCO3 concentration (Fig. S10B). Although HO˙ could be scavenged by Cl (reaction 20), it was quickly regenerated (reaction 10). The scavenging effects of HCO3 mainly suppressed Cl˙ and Cl2˙ (reactions 14 and 21) and increased [CO3˙]ss by 9 times (Fig. S10B). The predicted contaminant degradation rates were not sensitive to TOTCO3 except for aniline and sulfamethoxazole in which rates were enhanced due to the increase in [CO3˙]ss (Fig. S10A).

Similarly, UV/HOCl was not sensitive to TOTCO3 with respect to [HO˙]ss and [Cl˙]ss (Fig. 4A). When TOTCO3 increased from 40 to 400 μM, both [HO˙]ss and [Cl˙]ss remained relatively constant; however, [CO3˙]ss increased dramatically due to the scavenging effect of HCO3 (Fig. 4B). Therefore, contaminants that are reactive with [CO3˙]ss exhibited an enhanced removal with increasing inorganic carbon concentration (Fig. 4A).


image file: c6ew00242k-f4.tif
Fig. 4 The effect of inorganic carbon on the treatment efficiency of UV/HOCl based on the kinetic model. (A) First-order degradation rates of organic contaminants in treatment and (B) radical distribution. [HOCl] = 88 μM, [trace organic contaminant] = 50 nM, pH = 5.8, [Cl] = 80 μM, [Br] = 0.2 μM, TOC = 0.15 mg C L−1, UV irradiance = 45 mW cm−2.

4. Engineering implications

In chemical conditions typical for potable water reuse, the kinetic modeling prediction and experimental observation showed that treatment efficiency followed the order UV/persulfate > UV/hydrogen peroxide > UV/chlorine. This is mainly because S2O82− photolyzes faster than H2O2 and generates higher levels of both SO4˙ and HO˙. Because SO4˙ is more selective than HO˙ to react with electron-rich compounds, UV/S2O82− could potentially treat organic contaminants more efficiently than UV/H2O2, despite the fact that the industrial implementation in water reuse is still in its infancy. While the application of UV/S2O82− can increase SO42− concentration in treated water (<10 mg L−1), this level is not likely to adversely affect drinking water quality, considering the US EPA guideline standard of 250 mg L−1 for SO42−.65 However, UV/S2O82− is more sensitive to pH, chloride, and inorganic carbon than the other two UV/AOPs. This sensitivity can impact its treatment efficiency depending on the reactivities of radicals with individual contaminants.

UV/H2O2 exhibited higher treatment efficiency than UV/HOCl for some groups of contaminants. The performance of UV/H2O2 is limited by the rate of H2O2 photolysis, the strong scavenging effect of H2O2 on various radicals and a requirement to remove H2O2 residual in drinking water. However, UV/H2O2 is not as sensitive to changes in chemical parameters including pH, chloride, and bicarbonate as the other two UV/AOPs.

UV/HOCl is unique to the other AOPs in that it favors the generation of CO3˙ in water reuse chemical conditions. For compounds possessing high reactivity with CO3˙ (e.g., amine-containing contaminants), UV/HOCl can be very effective. For compounds that are inert to CO3˙, UV/HOCl is less effective than UV/H2O2 and UV/S2O82−. However, as a widely used disinfectant, HOCl is commonly employed in water treatment. The system can be easily upgraded to an AOP by the addition of a UV source with less capital cost compared to other UV/AOPs.

The water chemical conditions and the targeted contaminants should be considered in the design of a UV/AOP for water reuse. For source waters containing low levels of Cl and HCO3, UV/S2O82− and UV/H2O2 work effectively. If the targeted contaminant contains amine functional groups, UV/HOCl is likely to be favored. In addition, pre-treatment steps should be carried out to minimize the presence of natural organic matter (NOM) prior to UV/AOP because NOM can significantly decrease the UV transmittance and scavenge major radicals.66,67

5. Conclusions

The performances of UV/S2O82−, UV/H2O2 and UV/HOCl were evaluated and compared using both comprehensive kinetic modeling and experimental investigation. The degradation of 1,4-dioxane, carbamazepine, phenol, 17β-estradiol, aniline, and sulfamethoxazole was examined in this study. The impacts of chemical conditions relevant to potable water reuse that included pH, chloride, and inorganic carbon were examined. UV/S2O82− was predicted to be the most efficient UV/AOP when applied to RO permeate, despite the fact that its performance is most sensitive to pH, Cl, and HCO3. SO4˙ is likely to be transformed through a Cl pathway to generate HO˙. However, the presence of HCO3 also transforms SO4˙ and Cl˙ to less reactive CO3˙. HO˙ is affected less by Cl and HCO3 because the formation of ClOH˙ quickly regenerates HO˙. An increase in pH can compromise the performance of UV/S2O82−, while pH changes have a negligible effect on UV/H2O2 and UV/HOCl. The presence of Cl and HCO3 transforms SO4˙ to less reactive radicals and reduces the effectiveness of UV/S2O82−, whereas UV/H2O2 and UV/HOCl are less sensitive to Cl and HCO3. The presence of Br− can negatively impact the performance of all three UV/AOPs. The efficiency of UV/H2O2 can be compromised beyond an optimal dosage. In contrast, increasing the oxidant dose increases the AOP achievable with UV/S2O82− and UV/Cl2. The kinetic model provides a fundamental tool to examine the mechanisms of radical photochemistry to aid in the design of UV/AOP systems and to predict the performance under different chemical conditions.

Acknowledgements

This research was partially supported by grants to H. L. from National Science Foundation (CHE-1611306) and the UC Riverside Faculty Initiation Research Fund, and to W. L. from the National Science Foundation Graduate Research Fellowship and IGERT Water Sense Fellowship. We thank William Mitch at Stanford University and Steve Mezyk at California State University Long Beach for helping with the modeling input parameters.

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Footnote

Electronic supplementary information (ESI) available: Additional descriptions on the calculations of photolysis rates, probe methods to determine steady state concentration of radicals, unknown rate constants for the contaminant of concern, figures of effect of pH, chloride, inorganic carbon for all compounds in different AOPs, tables of all reactions and rate constants for kinetic modeling, compound description and lamp specification. See DOI: 10.1039/c6ew00242k

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