Effective and selective electrocatalytic nitrate reduction to ammonia on urchin-like and defect-enriched titanium oxide microparticles

Mue Tang Qiuwen Tong Yiming Li Ruchun Jiang Li Shi Fei Shen Yali Wei Zixun Liu Shuyue Liu Jun Zhang Guangming Jiang

Citation:  Mue Tang, Qiuwen Tong, Yiming Li, Ruchun Jiang, Li Shi, Fei Shen, Yali Wei, Zixun Liu, Shuyue Liu, Jun Zhang, Guangming Jiang. Effective and selective electrocatalytic nitrate reduction to ammonia on urchin-like and defect-enriched titanium oxide microparticles[J]. Chinese Chemical Letters, 2023, 34(12): 108410. doi: 10.1016/j.cclet.2023.108410 shu

Effective and selective electrocatalytic nitrate reduction to ammonia on urchin-like and defect-enriched titanium oxide microparticles

English

  • Nitrate pollution in surface water and underground aquifer has been increasingly serious as the massive production of nitrate wastewater in chemical fertilizers, metallurgy and explosives industries [1,2]. The increased exposure of nitrate (NO3) in aquatic ecosystems threat the human health and ecological balances [3-5]. Several technologies including ion exchange, biological denitrification, membrane filtration and electrodialysis have been developed to remove NO3 [6-9]. Electrocatalytic nitrate reduction (NO3RR) to ammonia (NH3) driven by renewable electricity resources represents a promising alternative, owing to green feature, mild reaction conditions and high reactivity [10-12]. More intriguingly, the produced NH3-N could be recovered when coupled the electrochemical system with a membrane technology.

    The catalyst is the core of the NO3RR technology, which determines the kinetics, selectivity and energy consumption of the NO3 conversion to NH3. TiO2, as a typical transition metal oxide, is considered as a promising NO3RR electrocatalyst owing to its abundance, high chemical stability and superior selectivity toward NH3 in product [13-15]. Zhang et al. [16] and Niu et al. [17] reported the successful synthesis of TiO2 applies to NO3RR, and the NH3 selectivity reaching to 87.1% and 81.9%, respectively. They further demonstrated that the OV site on the TiO2 surface was the reactive center for NO3RR, and the exposed Ti3+ at the OV site had a large affinity to both the NO3 and N-intermediates, which facilitated the proton-coupled electron transfer to reactants at electrode surface, and guaranteed the selective formation of NH3-N [18]. Albeit the above advancements, there is still space for improvement in the NO3RR performance of TiO2 due to the following two aspects. Firstly, the current NO3RR kinetics suffers from an inferior mass transfer as the NO3 in the wastewater generally has a low concentration [19,20]. Furthermore, the NO3 with a negative charge bear a repulsive force from cathode owing to the electronic field, which makes it more difficult to approach the cathode [21-23]. On the other hand, the TiO2, as a semiconductor, is poor in conductivity, which is actually unfavorable for the electrochemical system which urgently requires fast electron transfer [24-26,15].

    Herein, we reported a facile approach to the surface OV-enriched and urchin-like TiO2 microparticles (U-TiO2), which were used for NO3RR. The NO3RR performance, including NO3-N removal efficiency and kinetics, mass/specific activity, product distribution, durability, faradaic current efficiency and reaction pathway on U-TiO2 were then evaluated under a combined electrochemical analyses and in-situ spectrometric study. To identify the reactive center and the contribution of NO3-N mass diffusion, OV content, the NO3RR performance of U-TiO2 was also compared to a solid amorphous TiO2 (A-TiO2) that had close size but more surface OV, and a solid sphere. Finally, the impacts of NO3 concentration, coexisting anions, and dissolved organic organisms in nitrate-laden water on the NO3RR performance were also performed to assess its application in nitrogen remediation technique.

    Fig. 1a illustrated the synthetic route to urchin-like TiO2 catalyst (U-TiO2). In this route, amorphous TiO2 particles (A-TiO2) were firstly prepared as precursors via the hydrolysis of TTIP in an NH3 aqueous solution. They further evolved into U-TiO2 when subjected to a hydrothermal treatment at 110 ℃ in the presence of F and PVP, which served as the etching and protecting agents, respectively [27]. In compared to the electrodeposition and electroshock methods, the developed method was more readily to succeed in controlling the morphology and structure of the TiO2 particles [28,29]. The SEM images in Figs. S1 and S2 (Supporting information) and the TEM images in Figs. 1b and c revealed that the A-TiO2 particle was a microsphere with smooth surfaces and a mean size of 600 nm, whereas the U-TiO2 particles displayed unique urchin-like structures with particle size growing to approximately 630 nm. The HRTEM image in Fig. 1d revealed that the U-TiO2 particle was composed of small crystalline domains with distinct lattice spacing of 0.352 nm, corresponding to the (101) planes of anatase phase [30,31]. The amorphous-anatase conversion during the hydrothermal process was also confirmed by the XRD patterns in Fig. 1h, where the characteristic diffraction peaks of anatase phase were discerned on U-TiO2 (JCPDS No. 21–1272). Because the control test led to a relatively poor crystallinity in TiO2 (denoted as H-TiO2, TEM image shown in Fig. S3 in Supporting information), the substantial improvement in crystallinity from A-TiO2 to U-TiO2 would be also attributed to the presence of F and PVP [27]. The EDS elemental mapping results in Figs. 1e-g demonstrated the uniform distribution of Ti and O on U-TiO2 and the absence of ionic impurities, such as F. The N2 adsorption-desorption isotherm curves in Fig. S4 (Supporting information) revealed the mesoporous structures of the three TiO2 samples. U-TiO2 features a type-IV isotherm plot with a H3 hysteresis loop, while the A-TiO2 and H-TiO2 displayed type-I isotherm plots. On basis of the plot, the Brunauer–Emmett–Teller (BET) surface and pore size in these TiO2 samples were estimated. Interestingly, the BET surface area of them followed a decreasing order of H-TiO2 (586.3 m2/g) ≈ A-TiO2 (489.9 m2/g) > U-TiO2 (257.7 m2/g), whereas their mean pore size exhibited a reverse order of U-TiO2 (5.7 nm) > A-TiO2 (2.2 nm) ≈ H-TiO2 (2.5 nm). The much smaller BET surface area for urchin-like structure could be attributed to the enlarged pore size [31]. Albeit the decreased physical surface area, the large pore size, urchin-like structure would benefit for the exposure of active sites, the mass diffusion of dilute reactants and the electron transfer. Indeed, the ECSA (Fig. S5 in Supporting information) of U-TiO2 reached 92.1 m2/g, much higher than that of H-TiO2 (74.2 m2/g) and A-TiO2 (53.6 m2/g). The presence of oxygen vacancy (OV) in A-TiO2, H-TiO2 and U-TiO2 was evidenced by the signal at g = 2.004 in ESR spectra and the O 1s XPS peak at 531.4 eV (Figs. 1i and j) [32-34]. A-TiO2 should have a larger number of OV due to the displayed stronger ESR signal and the stronger XPS peak for OV. It was suggested that the hydrothermal process reduced the number of OV, possibly due to the improved crystallinity.

    Figure 1

    Figure 1.  (a) Schematic illustration for the synthesis of U-TiO2, TEM images of (b) A-TiO2 and (c) U-TiO2, (d) HR-TEM image of U-TiO2, (e-g) EDS elemental mapping images of U-TiO2, (h) XRD patterns, (i) O 1s XPS spectra and (j) ESR spectra of as-synthesized A-TiO2, H-TiO2 and U-TiO2.

    To estimate the NO3RR activity of catalysts, LSV tests in the electrolyte solution with and without NO3-N were conducted for A-TiO2, H-TiO2 and U-TiO2, respectively. The dash LSV curves in Fig. 2a, obtained in the NO3-N-free solution, demonstrated a decreasing order of U-TiO2 > A-TiO2 > H-TiO2 in the proton transfer kinetics at their surfaces according to the position of onset potential as well as the current density under the potential more negative than onset potential. After the addition of NO3-N, the onset potential for electrochemical reaction (the solid LSV curves) shifted negatively by around 0.30 V in compared to that in NO3-N-free solution for all the three catalysts. The abnormal phenomena could be ascribed to the fact of the hydrogen adsorption was hindered by the strong adsorption of NO3 on active sites, and the current response, assigned to NO3-N reduction, occurred under a more negative polarization potential. Furthermore, both the values of onset potential and current density for NO3-N reduction, as observed in the solid LSV curves, followed a decreasing order of U-TiO2 > A-TiO2 > H-TiO2, suggesting the superior NO3RR activity of U-TiO2. To evaluate the performances of catalysts in removing NO3-N, potential-control batch NO3RR tests were conducted in an Ar-saturated 50 mmol/L Na2SO4 solution with 22.5 mg/L NO3-N at −0.60 V vs. RHE (the same below). Fig. 2b displayed the reaction time-courses of C/C0 (C denoted the NO3-N concentration) during NO3RR on A-TiO2, H-TiO2 and U-TiO2 respectively. As observed, all the three catalysts were active to remove the NO3-N, but obviously, the U-TiO2 was the best with a NO3-N removal efficiency of 98.5% in 240 min of reaction, followed by the A-TiO2 (62.3%) and H-TiO2 (60.9%). Fig. 2c plotted the reaction time-dependent concentrations of NO3-N, NO2-N and NH3-N as well as their total in the three reaction systems. As observed in the three reaction systems, the amount of NH3-N kept continuous rising with the consumption of NO3-N. Intriguingly, the NO2-N, which was one common intermediate resolved during the conversion of NO3-N to NH3-N, was evidenced in a very low yield (≤0.4 mg/L) during NO3RR. As the NO2-N was one more toxic species than NO3-N, and its concentration was restricted under 1.0 mg/L by Standards for drinking water quality (GB5749–2022). The well control in NO2-N made the NO3RR on our TiO2-based catalysts a very safe process for practical environmental remediation of nitrate-contaminated water. On the other hand, the low NO2-N yield as well as the nearly constant total N content in solution indicated the high product selectivity towards NH3-N. For example, the NH3-N selectivity on U-TiO2 reached 98.1%, which was the highest among the one reported in literatures (Table S1 in Supporting information).

    Figure 2

    Figure 2.  Comparisons of (a) LSV in NO3-N-contained and NO3-N-free Na2SO4 electrolyte, (b) time-course C/C0, (c) evolution in production distribution, (d) pseudo-first-order rate equation curves, (e) specific and mass activities between different cathodes in NO3RR, (f) durability tests of U-TiO2. Reaction conditions: [initial NO3-N] = 22.5 mg/L; cathodic potential = −0.60 V; electrolysis time = 240 min.

    The kinetics study revealed that the NO3RR reaction on A-TiO2, H-TiO2 and U-TiO2 all obeyed the pseudo-first-order mode (lnC/C0 = −kapp t) (Fig. 2d), suggesting that the NO3RR was primarily limited by the mass diffusion of reactants. NO3RR on U-TiO2 was the fastest with a kapp = 9.18E-03 min−1, followed by that on A-TiO2 (5.75E-03 min−1) and H-TiO2 (3.82E-03 min−1). On basis of the kapp, the mass (MA) and specific activities (SA) of the three catalysts were calculated. As observed in Fig. 2e, U-TiO2 displayed the highest MA of 1.15 min−1 gcat−1, followed by A-TiO2 (0.72 min−1 gcat−1) and H-TiO2 (0.48 min−1 gcat−1). However, the SA of the catalysts followed a different order of A-TiO2 (2.56 min−1 mcat−2) > U-TiO2 (2.37 min−1 mcat−2) > H-TiO2 (1.23 min−1 mcat−2). Given the lower ECSA of A-TiO2, the higher SA but lower MA on A-TiO2 suggested that the A-TiO2 might have a higher density of active centers at surface than U-TiO2. The underlying mechanism was discussed below. The faradaic current efficiency (F.E.%) of the three catalysts for NH3-N production was also calculated. As shown in Fig. S6 (Supporting information), the U-TiO2 delivered the largest one of 79.0%, followed by A-TiO2 (59.7%) and H-TiO2 (51.1%). The lower F.E.% than 100% in the three systems could be ascribed to the side hydrogen evolution reaction [35]. These results demonstrated that the NO3RR on U-TiO2 was more energy-efficient, and also safer due to the release of less explosive H2. As a critical descriptor for efficient catalyst, the durability of U-TiO2 for NO3RR was also evaluated through repeated batch NO3RR tests. The results in Fig. 2f revealed that U-TiO2 could retain its high performance after at least 5 consecutive cycles of reactions. The TEM image of the used U-TiO2 in Fig. S7 (Supporting information) showed that the catalyst kept its urchin-like structure as well as the exposure of the (101) facet of anatase. Furthermore, the O 1s XPS spectra in Fig. S8 (Supporting information) evidenced the preservation of OV on the used U-TiO2, suggesting that the OV could be in-situ regenerated under the reductive potential of NO3RR.

    Previous researches had verified that the OV sites with exposed Ti3+ species were the primary reactive centers of TiO2-based catalysts for NO3RR [16]. To probe into the role of OV in our system, the NO3RR performances of U-TiO2 and A-TiO2 before and after the quench of their surface OV through immersing the cathodes in 10.0 mmol/L PO43− solution prior to reaction were all examined [36]. As presented in Fig. 3a, after being treated in 10.0 mmol/L PO43−, the OV/OL ratio on U-TiO2 was indeed reduced from initial 0.18 to 0.13, owing to the occupation of OV by PO43− via Ti3+-PO43− complexation [37]. Correspondingly, the NO3-N removal efficiency for the OV-quenched U-TiO2 dropped by 27.8%, in compared to that of the fresh U-TiO2 (Fig. 3b). All these clearly verified the critical role of OV as reactive centers on our TiO2 catalyst. Fig. 3b also showed that the NO3-N removal efficiency on the OV-quenched A-TiO2 was reduced by a larger extent of 53.2% in compared to that on fresh A-TiO2. The displayed more significant efficacy of OV on A-TiO2 indicated a larger density of OV at its surface, which was consistent with the XPS results in Fig. 1i. Given the critical role of OV in NO3RR, the large density of surface OV on A-TiO2 would rationalize why A-TiO2 had a larger SA than U-TiO2 (Fig. 2e).

    Figure 3

    Figure 3.  (a) O 1s XPS spectra of U-TiO2 after immersion in 10.0 mmol/L PO43− solution. (b) NO3RR performance of A-TiO2 and U-TiO2 before and after submerged in the PO43− solution. (c) Nyquist plots of the samples. (d) Schematic illustration of the potential-dependent NO3RR mechanism. (e, f) DEMS results of the NO3RR on U-TiO2.

    Though A-TiO2 had a larger number of OV on surface, its MA was still lower than that of U-TiO2. This suggested that besides the number of active sites (i.e., OV), the NO3RR performance on U-TiO2 depended on other factors, such as the charge transfer at catalyst/water interfaces. The Nyquist plots in Fig. 3c revealed an increasing order of U-TiO2 < H-TiO2 < A-TiO2 in charge transfer resistance at catalyst/water interfaces [38]. Intriguingly, this order was exactly opposite to that of their MA, indicating that the NO3RR performance was primarily associated with the charge transfer rate at catalyst surface. Generally, the semiconductor with more defects or in amorphous structure usually displayed higher electronic conductivity. The U-TiO2, with high crystallinity and less defects, would have inferior electronic conductivity to A-TiO2. Accordingly, the low charge resistance at U-TiO2/water interfaces should benefit from the urchin-like hierarchical structure, which provided abundant channels/voids for mass diffusion and also exposed more reactive centers for charge transfer [27,39,40]. All these demonstrated that the superior NO3RR performance on U-TiO2 originated from the reproducible OV site (reactive center) as well as the urchin-like structure (Fig. 3d). Notably, the urchin-like structure took the leading contribution in our system.

    To get more knowledge about the NO3RR on U-TiO2, the NO3RR pathway was explored with in-situ DEMS test, which could resolve the reaction intermediates during the conversion of NO3-N to NH3-N, even when the intermediates were of a short lifetime. As demonstrated in Figs. 3e and f, the m/z signals for 2, 14, 15, 16, 17, and 30 were discerned under a working potential of −0.60 V, which could be assigned to H2, N, NH, NH2, NH3, and NO species, respectively. No m/z signals for N2 and NO2 were captured, indicating the inferior selectivity of NO3 conversion to N2 on U-TiO2. This was consistent with our experimental results that little N2 was produced. On basis of the resolved species and the detected product in aqueous solution, we could propose a NO3RR pathway of *NO3*NO2*NO → *N → *NH → *NH2*NH3 on U-TiO2 surface (* denotes the reactive sites on catalyst). Such a pathway of NO3-NH3 conversion was also reported on many OV-triggered NO3RR systems, which, therefore, solidified that the OV on TiO2 was the primary reaction centers.

    To assess the application of U-TiO2-driven NO3RR on different scenarios, the NO3RR performances of U-TiO2 were investigated under different NO3-N feeding concentrations. The results in Fig. 4a showed that with the feeding concentrations increasing from 22.5 mg/L to 90.0 mg/L, more NO3-N are remained after a reaction of 240 min. Corresponding NO3-N removal efficiency ((1-C/C0) × 100%) was found to decrease from initial 98.5% to 46.1%. However, as observed in Fig. 4b, the NH3 yield at the end of reaction increased with the feeding NO3-N concentration, indicating that more NO3-N was converted to NH3-N when fed a higher concentration. These results supported the conclusion that the NO3RR kinetics on U-TiO2 under a NO3-N concentration range of 22.5~90.0 mg/L was limited by the mass diffusion of NO3. Generally, a higher NO3-N concentration would promote the collision frequency between NO3-N and catalyst, contributing to an accelerated NO3RR [6]. Additionally, Fig. 4b also revealed that more NO2-N was produced with the increase in feeding NO3-N concentration. This might be ascribed to the fact that the NO3 would compete the reactive centers with NO2, some of which was squeezed off the reactive centers before being hydrogenated to NH3. Given the large toxicity of NO2, this result reminded us to carefully optimize the reaction conditions when dealing with the wastewater with concentrated NO3-N. Fortunately according to our previous work, prolonging the reaction time could be an efficient way to control the residue of NO2 in solution [41]. Fig. 4c also compared the F.E.% for NH3-N production on U-TiO2 under different NO3-N concentrations. It was revealed that the F.E.% depended less on the feeding NO3-N concentration. This was unexpected as an enhanced NO3-NH3 conversion was usually accompanied with a larger F.E.% [42]. The underlying mechanism will be explored in the future work.

    Figure 4

    Figure 4.  Effects of (a-c) initial NO3-N concentration on NO3-N removal, evolution in production distribution, MA and F.E.%. (d-f) The presence of coexisting ions on NO3-N removal, pseudo-first-order rate equation curves for NO3RR, and evolution in production distribution over U-TiO2. Reaction conditions: [initial NO3-N] = 22.5 mg/L for (d-f); cathodic potentiall = −0.60 V; electrolysis time = 240 min for all the tests.

    As most of the industrial processes employed natural water as water resources, the resultant wastewater usually contained some impurity ions (e.g., Cl, CO32−, Mg2+ and Ca2+) and natural organic materials (NOM), which might pose some effects on the electrochemical process. Herein their effects on the NO3RR performance of U-TiO2 were investigated under a potential of −0.60 V. Humic acid was introduced as the representative of NOM. The concentrations of the impurities were set according to the values of them in natural water, such as Cl (5.0 mmol/L), CO32− (1.0 mmol/L), Mg2+ (1.0 mmol/L) and Ca2+ (2.0 mmol/L), and humic acid (3.3 mg/L) [43]. Fig. 4d revealed that the presence of Ca2+, Mg2+ and Cl promoted NO3RR, due to the faster drop in C/C0 in compared to that in the control experiment. On basis of the C/C0 value at 150 min, we could tell that the Ca2+ was the most efficient species in promoting NO3RR, followed by Mg2+ and Cl. In contrast, the inclusion of CO32– and humic acid slowed down the NO3RR. The detrimental effects of CO32– was more significantly as the C/C0 at the end of reaction remained 75.4%. Fig. S9 (Supporting information) showed that the NO3RR on U-TiO2 still obeyed the pseudo-first-order reaction mode, indicating that the mass diffusion of NO3 continued to be the rate-determined step for NO3RR even when the NO3RR was boosted in a significant extent in the presence of Ca2+. Fig. 4e summarized the kapp, which followed a decreasing order of Ca2+ > Mg2+ > Cl > Control > humic acid > CO32–. Fig. 4f compared the products of NO3RR at 150 min in the presence of impurity ions and humic acid. As observed, the inclusion of Ca2+, Mg2+ and Cl produced more NH3-N, while the presence of humic acid and CO32– reduced yield of NH3-N, both of which was consistent with the displayed efficacy of them on NO3RR kinetics. All these suggested that the impurity species affects primarily on the kinetics of NO3-N conversion to NH3-N rather than the reaction pathway. Fig. 4f also showed that the NO2-N yields in all the investigated systems were kept under a low level, even when the NO3RR was hindered under a large extent in the presence of CO32−. The underlying mechanism was unclear, but this unique feature was appealing as our U-TiO2 had a strong resistant to water quality in the aspect of the well control in NO2-N yield.

    The detrimental effects of humic acid and CO32– on OV-driven catalysis had been documented in literature, which could attributed to the strong complexation effect between the carboxyl group and the exposed cation at the OV site (i.e., the Ti3+), leading to the poisoning of the reactive centers [44,41]. The promoting effects of Ca2+ and Mg2+ and Cl were unexpected. In general, the NO3 with a negative charge suffered a repulsive force from cathode owing to the electronic field, which raised extra energy for them to approach electrode for NO3RR. We speculated that the presence of Ca2+ and Mg2+ might alter the structure of double electric layer at electrode/solution interface by forming an instantaneous neutral ion pair, which, as a result, weakened the repulsive force between NO3 and the cathode [45]. In the future, more efforts will be devoted to unraveling the interactions between the impurity ions and the performance of the catalyst.

    Herein, we developed a defective urchin-like TiO2 micro-particles catalyst for NO3RR. When subjected to 22.5 mg/L of NO3-N, it could afford a mass activity of 1.15 min−1 mgcatalyst−1, a low yield of toxic NO2-N intermediate (≤0.4 mg/L) and an exceptional high NH3-N selectivity of 98.1% under the working potential of −0.60 V, outperforming most of the reported catalysts. We also demonstrated that the OV was the real reactive sites for NO3RR, but rather than its content, the NO3RR kinetics were more dependent on the urchin-like structure, which was beneficial for the interfacial electron transfer of TiO2 and the mass diffusion of NO3-N around TiO2. The in-situ DEMS test revealed that the NO3RR on U-TiO2 followed a pathway of *NO3*NO2*NO → *N→ *NH → *NH2*NH3. The U-TiO2 could keep its robust performance under a wide NO3-N concentration range and in the presence of Ca2+, Cl and Mg2+. However, the humic acid and CO32− in wastewater posed detrimental effects on NO3RR.

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    The authors acknowledge the financial support by National Natural Science Foundation of China (Nos. 22176019, 51978110), the Science and Technology Research Program of Chongqing Municipal Education Commission (Nos. KJQN201800829, KJQN201900837, KJZD-K202000802, KJQN201901527), Chongqing Research Student Science and Technology Innovation Project (No. CYS22724), Innovation and Entrepreneurship Training Plan for College Students (No. 202111799007).

    Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.cclet.2023.108410.


    1. [1]

      X. Zou, J. Xie, C. Wang et al., Chin. Chem. Lett. 34 (2023) 107908. doi: 10.1016/j.cclet.2022.107908

    2. [2]

      Z.Y. Wu, M. Karamad, X. Yong, et al., Nat. Commun. 12 (2021) 2870. doi: 10.1038/s41467-021-23115-x

    3. [3]

      T. Feng, F. Li, X. Hu, et al., Chin. Chem. Lett. 34 (2023) 107862. doi: 10.1016/j.cclet.2022.107862

    4. [4]

      J. Lim, C.Y. Liu, J. Park, et al., ACS Catal. 11 (2021) 7568–7577. doi: 10.1021/acscatal.1c01413

    5. [5]

      F. Ni, Y. Ma, J. Chen, et al., Chin. Chem. Lett. 32 (2021) 2073–2078. doi: 10.1016/j.cclet.2021.03.042

    6. [6]

      T. Zhu, Q. Chen, P. Liao, et al., Small 16 (2020) 2004526. doi: 10.1002/smll.202004526

    7. [7]

      Y. Wang, W. Zhou, R. Jia, et al., Angew. Chem. Int. Ed. 59 (2020) 5350–5354. doi: 10.1002/anie.201915992

    8. [8]

      C.A. Clark, C.P. Reddy, H. Xu, et al., ACS Catal. 10 (2020) 494–509. doi: 10.1021/acscatal.9b03239

    9. [9]

      S. Xu, Y. Shi, Z. Wen, et al., Appl. Catal. B: Environ. 323 (2023) 122192. doi: 10.1016/j.apcatb.2022.122192

    10. [10]

      D. Chen, S. Zhang, X. Bu, et al., Nano Energy 98 (2022) 107338. doi: 10.1016/j.nanoen.2022.107338

    11. [11]

      J.N. Gao, N. Shi, Y.F. Li, et al., Environ. Sci. Technol. 56 (2022) 11602–11613. doi: 10.1021/acs.est.1c08442

    12. [12]

      J.N. Gao, N. Shi, X.B. Guo, et al., Environ. Sci. Technol. 55 (2021) 10684–10694. doi: 10.1021/acs.est.0c08552

    13. [13]

      X. Zhang, C. Wang, Y. Guo, et al., J. Mater. Chem. A 10 (2022) 6448–6453. doi: 10.1039/d2ta00661h

    14. [14]

      D.E. Kim, D. Pak, Chemosphere 228 (2019) 611–618. doi: 10.1016/j.chemosphere.2019.04.071

    15. [15]

      J. Chen, X. He, D. Zhao, et al., Green Chem. 24 (2022) 7913–7917. doi: 10.1039/d2gc03083g

    16. [16]

      R. Jia, Y. Wang, C. Wang, et al., ACS Catal. 10 (2020) 3533–3540. doi: 10.1021/acscatal.9b05260

    17. [17]

      Z. Wei, X. Niu, H. Yin, et al., Appl. Catal. A: Gen. 636 (2022) 118596. doi: 10.1016/j.apcata.2022.118596

    18. [18]

      H. Hirakawa, M. Hashimoto, Y. Shiraishi, et al., J. Am. Chem. Soc. 139 (2017) 10929–10936. doi: 10.1021/jacs.7b06634

    19. [19]

      W.J. Sun, H.Q. Ji, L.X. Li, et al., Angew. Chem. Int. Ed. 60 (2021) 22933–22939. doi: 10.1002/anie.202109785

    20. [20]

      Z. Song, Y. Liu, Y. Zhong, et al., Adv. Mater. 34 (2022) 2204306. doi: 10.1002/adma.202204306

    21. [21]

      X. Fu, J. Zhang, Y. Kang, Chem. Catal. 2 (2022) 2590–2613. doi: 10.1016/j.checat.2022.09.001

    22. [22]

      T.H. Jeon, Z.Y. Wu, F.Y. Chen, et al., J. Phys. Chem. C 126 (2022) 6982–6989. doi: 10.1021/acs.jpcc.1c10781

    23. [23]

      L. Li, C. Tang, X. Cui, et al., Angew. Chem. Int. Ed. 60 (2021) 14131–14137. doi: 10.1002/anie.202104394

    24. [24]

      C. Liang, P. Li, Y. Zhang, et al., J. Power Sources 372 (2017) 235–244. doi: 10.1016/j.jpowsour.2017.10.079

    25. [25]

      S. Gu, A.N. Marianov, H. Xu, et al., J. Mater. Sci. Technol. 80 (2021) 20–27. doi: 10.1016/j.jmst.2020.09.053

    26. [26]

      X. Lu, Y. Wang, J. Huang, et al., Chem. Eng. J. 434 (2022) 134648. doi: 10.1016/j.cej.2022.134648

    27. [27]

      J.H. Pan, X.Z. Wang, Q. Huang, et al., Adv. Funct. Mater. 24 (2014) 95–104. doi: 10.1002/adfm.201300946

    28. [28]

      J. Kim, H. Kim, G.H. Han, et al., Exploration 2 (2022) 20210077. doi: 10.1002/EXP.20210077

    29. [29]

      L. Du, H. Xiong, H. Lu, et al., Exploration, 2 (2022) 20210363. doi: 10.1002/EXP.20210363

    30. [30]

      T. Wu, H. Zhao, X. Zhu, et al., Adv. Mater. 32 (2020) 2000299. doi: 10.1002/adma.202000299

    31. [31]

      L. Deng, B. Chang, D. Shi, et al., Renew. Energ. 170 (2021) 858–865. doi: 10.1016/j.renene.2021.02.040

    32. [32]

      P.S. Murphin Kumar, V.K. Ponnusamy, K.R. Deepthi, et al., J. Mater. Chem. A 6 (2018) 23435–23444. doi: 10.1039/c8ta07380e

    33. [33]

      J. Wang, M. Xu, J. Zhao, et al., Appl. Catal. B: Environ. 237 (2018) 228–236. doi: 10.1016/j.apcatb.2018.05.085

    34. [34]

      L. Huang, D. Li, J. Liu, et al., Y. Feng, J. Hazard. Mater. 393 (2020) 122329. doi: 10.1016/j.jhazmat.2020.122329

    35. [35]

      J. Sun, W. Gao, H. Fei, et al., Appl. Catal. B: Environ. 301 (2022) 120829.6. doi: 10.1016/j.apcatb.2021.120829

    36. [36]

      X. Lv, K. Jiang, H. Wu, et al., ACS EST Water 2 (2022) 1451–1460. doi: 10.1021/acsestwater.2c00205

    37. [37]

      F. o. Ahimou, C.J.P. Boonaert, Y. Adriaensen, et al., J. Colloid Interf. Sci. 309 (2007) 49–55. doi: 10.1016/j.jcis.2007.01.055

    38. [38]

      P. Kuang, Y. Wang, B. Zhu, et al., Adv. Mater. 33 (2021) 2008599. doi: 10.1002/adma.202008599

    39. [39]

      H. Shin, H. -i. Kim, D.Y. Chung, et al., ACS Catal. 6 (2016) 3914–3920. doi: 10.1021/acscatal.6b00384

    40. [40]

      D.C. Nguyen, T.L. Luyen Doan, S. Prabhakaran, et al., Nano Energy 82 (2021) 105750. doi: 10.1016/j.nanoen.2021.105750

    41. [41]

      G. Jiang, M. Peng, L. Hu, et al., Chem. Eng. J. 435 (2022) 134853. doi: 10.1016/j.cej.2022.134853

    42. [42]

      X. Zhang, Y. Wang, C. Liu, et al., Chem. Eng. J. 403 (2021) 126269. doi: 10.1016/j.cej.2020.126269

    43. [43]

      B.P. Chaplin, E. Roundy, K.A. Guy, et al., Environ. Sci. Technol. 40 (2006) 3075–3081. doi: 10.1021/es0525298

    44. [44]

      Z. Mao, L. Liu, H.B. Yang, et al., Electrochim. Acta 391 (2021) 138886. doi: 10.1016/j.electacta.2021.138886

    45. [45]

      R.R. Nazmutdinov, D.V. Glukhov, G.A. Tsirlina, et al., J. Electroanal. Chem. 582 (2005) 118–129. doi: 10.1016/j.jelechem.2005.03.021

  • Figure 1  (a) Schematic illustration for the synthesis of U-TiO2, TEM images of (b) A-TiO2 and (c) U-TiO2, (d) HR-TEM image of U-TiO2, (e-g) EDS elemental mapping images of U-TiO2, (h) XRD patterns, (i) O 1s XPS spectra and (j) ESR spectra of as-synthesized A-TiO2, H-TiO2 and U-TiO2.

    Figure 2  Comparisons of (a) LSV in NO3-N-contained and NO3-N-free Na2SO4 electrolyte, (b) time-course C/C0, (c) evolution in production distribution, (d) pseudo-first-order rate equation curves, (e) specific and mass activities between different cathodes in NO3RR, (f) durability tests of U-TiO2. Reaction conditions: [initial NO3-N] = 22.5 mg/L; cathodic potential = −0.60 V; electrolysis time = 240 min.

    Figure 3  (a) O 1s XPS spectra of U-TiO2 after immersion in 10.0 mmol/L PO43− solution. (b) NO3RR performance of A-TiO2 and U-TiO2 before and after submerged in the PO43− solution. (c) Nyquist plots of the samples. (d) Schematic illustration of the potential-dependent NO3RR mechanism. (e, f) DEMS results of the NO3RR on U-TiO2.

    Figure 4  Effects of (a-c) initial NO3-N concentration on NO3-N removal, evolution in production distribution, MA and F.E.%. (d-f) The presence of coexisting ions on NO3-N removal, pseudo-first-order rate equation curves for NO3RR, and evolution in production distribution over U-TiO2. Reaction conditions: [initial NO3-N] = 22.5 mg/L for (d-f); cathodic potentiall = −0.60 V; electrolysis time = 240 min for all the tests.

  • 加载中
计量
  • PDF下载量:  5
  • 文章访问数:  704
  • HTML全文浏览量:  70
文章相关
  • 发布日期:  2023-12-15
  • 收稿日期:  2022-12-01
  • 接受日期:  2023-03-29
  • 修回日期:  2023-03-03
  • 网络出版日期:  2023-03-31
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

/

返回文章