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Contrasting mechanisms of UDMH degradation by MnO2 and Mn2O3 under microwave assistance: electronic structure, surface adsorption and catalytic reaction pathways

Jiepeng Wang, Siyu He, Zhe Wang, Yunlong Deng, Jielei Hao, Xuqian Wang and Yongkui Zhang*
Department of Pharmaceutical & Biological Engineering, School of Chemical Engineering, Sichuan University, Chengdu 610065, China. E-mail: zhangyongkui@scu.edu.cn; Tel: +86-28-85405221

Received 3rd February 2026 , Accepted 23rd April 2026

First published on 12th May 2026


Abstract

Unsymmetrical dimethylhydrazine (UDMH) is difficult to efficiently degrade and mineralize using traditional wastewater treatment processes, leading to the accumulation of toxic nitrogenous intermediates. In this study, a microwave-assisted catalytic degradation system based on manganese oxides was developed for effective UDMH treatment. Experiments were integrated with DFT calculations to systematically compare the structure–activity relationships of MnO2 and Mn2O3. DFT calculations show that the metallic character of Mn2O3 affords high electron mobility that favors rapid reduction of intermediates, whereas semiconducting MnO2 exhibits superior overall catalytic performance; the latter's lower oxygen-vacancy formation energy (2.10 eV vs. 2.41 eV) markedly decreases the barrier for the *OH → *O → *OOH sequence, intensifying oxidative pathways. DFT results, corroborated by XPS and XRD analyses, reveal that both oxides generate ˙OH via dynamic Mn4+/Mn3+/Mn2+ redox cycling and surface hydroxyl enrichment. However, MnO2, exhibiting higher surface ˙OH density and lower UDMH adsorption energy, leverages microwave-induced hot spots to sustain ˙OH production, achieving >90% COD removal. Mn2O3 suffers from structural deactivation that constrains long-term stability. The microwave-enhanced mechanism of Mn-based catalysis was elucidated by the three-scale analysis—electronic structure, surface adsorption and catalytic reaction. This study provides a theoretical basis for the design of manganese-based catalysts and supports their applications in the microwave-assisted treatment of nitrogen-containing wastewater.


1 Introduction

Unsymmetrical dimethylhydrazine (UDMH) is a high-performance rocket propellant widely applied in aerospace and other fields.1 Although UDMH is recognized as a toxic organic pollutant possessing carcinogenic, mutagenic, teratogenic, and embryotoxic characteristics and is harmful to humans and other living organisms, it remains widely utilized due to its high specific impulse, low freezing point, and high thermal stability.2 Once UDHM enters the environment, it causes serious pollution to soil, water and atmosphere, posing a potential threat to the ecosystem and human health. Therefore, it is of great practical significance to find an efficient and environmentally friendly UDMH degradation method.

UDMH and its degradation intermediates exhibit high biotoxicity and structural complexity; therefore, the complete degradation of UDMH is extremely challenging. Primary UDMH wastewater treatment methods include adsorption, biological degradation, and advanced oxidation processes (AOPs). While adsorption techniques3,4 offer operational simplicity, they suffer from limited adsorption capacity, high regeneration costs, and secondary pollution risks. Biological degradation 5,6 relying on microbial metabolism, requires prolonged treatment cycles and has poor tolerance to high concentrations of UDMH. In contrast, AOPs demonstrate advantages by generating highly reactive oxidative species (e.g., hydroxyl radicals ˙OH and superoxide radicals ˙O2) that rapidly mineralize UDMH and its toxic intermediates into harmless small molecules (CO2 and H2O), offering both high efficiency and broad applicability.7 AOPs, including photocatalysis, Fenton/Fenton-like reaction, and low-temperature plasma treatment, have been extensively adopted to treat UDMH in water environments.8–10 Although various AOPs have demonstrated remarkable efficiency in rapidly degrading UDMH, the mineralization rate remains unsatisfactory. For instance, the AgCo/SBA-15/PMS system achieved nearly 100% UDMH degradation within 15 min yet only attained a 20.8% mineralization rate after 30 min of reaction.11 Notably, several transformation byproducts, such as tetramethyl tetrazene (TMT), N-methyl-N-(methylideneamino) methanamine (FDNH), and nitrosodimethylamine (NDMA), show serious toxicity.12 Therefore, the development of AOPs with powerful mineralization ability is extremely significant for the detoxification of UDMH.

Microwave-assisted catalytic oxidation processes have gained significant attention due to their ability to accelerate chemical reactions and the potential to completely degrade organic pollutants.13 Microwave-assisted catalytic oxidation presents a reliable alternative to conventional oxidation methods for UDMH wastewater remediation, offering operational simplicity, rapid kinetics, and high degradation efficiency.14 Therefore, microwave-assisted technology has gained widespread attention for applications in environmental catalysis.15–18 Meanwhile, the non-thermal effects of microwaves (e.g., high-frequency vibration of polar molecules) can enhance electron mobility at the active sites on the catalyst surface, promote redox cycling, and simultaneously reduce the accumulation of toxic intermediates.19 Microwave-assisted catalytic technology effectively suppresses toxic intermediate formation during organic pollutant degradation by inducing rapid molecular excitation and thermal activation through dipole rotation, ultimately driving the intermediates towards CO2 and H2O.20 For microwave reactions, the selection of microwave-absorbing materials is critical. Among numerous microwave-absorbing materials, manganese ores exhibit superior microwave absorption performance due to their broad absorption bands.21 Extensive studies have demonstrated that microwave irradiation can effectively introduce or modulate oxygen vacancies in manganese oxide lattices, thereby substantially enhancing their catalytic functionality.22,23 Concurrently, manganese oxide-based catalysis represents a versatile redox-active system integrating oxidative and catalytic capabilities, rendering it applicable to advanced oxidation processes for water treatment and air purification.24,25 As representative manganese oxides, manganese dioxide (MnO2) and manganese trioxide (Mn2O3) demonstrate significant catalytic potential in AOPs owing to their multivalent characteristics (Mn2+/Mn3+/Mn4+) and tunable surface chemistry.13,14,26,27 However, current research predominantly focuses on individual manganese oxides, lacking systematic investigation into how their electronic structure differences (e.g., metallic vs. semiconductor properties) influence radical generation pathways and intermediate product distributions—a knowledge gap that hinders the rational design and application optimization of these catalysts. Furthermore, critical knowledge gaps remain in microwave-assisted manganese oxides catalytic degradation systems: (1) the regulatory mechanism of microwaves on the surface electronic structures of MnO2 and Mn2O3 remains unclear; (2) the relationship between valence cycling pathways and intermediate product toxicity under microwave assistance requires urgent clarification.

To address these challenges, this study systematically investigates the catalytic performance and mechanistic distinctions between MnO2 and Mn2O3 towards UDMH degradation under microwave assistance. By integrating first-principles calculations with comprehensive characterization, we elucidate how the structural and electronic properties of both oxides regulate catalysis. Furthermore, SPME-GC-MS analysis of intermediate distributions establishes the degradation pathway of UDMH catalyzed by MnO2 and Mn2O3. This work provides theoretical foundations for the rational design of manganese-based catalysts and advances microwave-catalysis synergy for nitrogen-containing wastewater treatment.

2 Materials and methods

2.1 Materials and reagents

1,1-Dimethylhydrazine (C2H8N2, >98%) was purchased from Shanghai Bidepharm Co., Ltd. Manganese trioxide (Mn2O3, >98%), manganese dioxide (MnO2, >98%), formaldehyde 2,2-dimethyl hydrazone (C3H8N2, >98%) and N-nitrosodimethylamine (C2H6N2O, >99%) were purchased from Aladdin Co., Ltd. Other commonly used reagents of analytical grade were purchased from Chengdu Kelong Co., Ltd. The main parameters of the UDMH simulated wastewater used in this study are shown in Table S1 of the Supplementary Materials.

2.2 Degradation of UDMH

50 mL of UDMH wastewater was added to a 250 mL conical flask, followed by the addition of a specific dose of MnO2 or Mn2O3 catalyst. The reaction system was then placed in a microwave reactor, connected to a circulating cooling-water condenser, and subjected to microwave irradiation at a set power for 30 min. After reaction, the catalyst was removed by filtration through a 0.22 µm membrane, and the residual UDMH concentration and chemical oxygen demand (COD) in the filtrate were measured using a UV-Vis spectrophotometer (AOE-A360). To further investigate the changes in formaldehyde and other nitrogen-containing intermediates during the degradation process, the degradation solution was analyzed by UV scanning (characteristic UV absorption wavelengths are listed in Table S3). The concentration of leached manganese ions during the reaction was determined with an inductively coupled plasma emission spectrometer (ICP-OES, Thermo Scientific iCAP 7400) (detailed test methods are provided in Text S1). Additionally, key reaction conditions, including the dosage of manganese oxides, the initial pH of the reaction solution, and the reaction time, were systematically optimized (detailed experimental conditions are listed in Table S2). At the same time, the toxicity of the intermediate product was analyzed using Ecological Structure Activity Relationships (Ecosar) software version 9.3. ECOSAR is a chemical compound ecotoxicity prediction system developed by the U.S Environmental Protection Agency.

2.3 Free radical quenching experiments

In an effort to detect the potentially generated active free radicals during the reaction process, a variety of free radical scavengers were employed in the reaction. L-Histidine and tert-butanol were utilized to scavenge 1O2 and ˙OH, respectively, while KBrO3 was employed to remove electrons in the reaction system.28–30 Specifically, 50 mL of UDMH wastewater and 5 mmol L−1 of MnO2 and Mn2O3 were added to a 250 mL conical flask. A scavenger with a concentration of 5 mmol L−1 (the molar ratio of [scavenger] to catalyst was 1[thin space (1/6-em)]:[thin space (1/6-em)]4) was introduced into each reaction group. The reaction was conducted in a microwave reactor for 5 min. Once the reaction was completed, the remaining UDMH content was determined in order to analyze the contribution of free radicals in the reaction system.

2.4 Characterization of catalyst and degradation intermediates

Crystal structures of the pristine and used catalysts were examined at room temperature using an X-ray diffractometer (Rigaku D/max-TTR III) with Cu Kα radiation (λ = 1.54056 Å), a current of 40 mA, and a voltage of 40 kV. X-ray photoelectron spectroscopy (XPS) analysis of the elemental states on the catalyst surface was conducted with a Thermo Scientific ESCALAB 250Xi spectrometer (Kratos Axis Ultra DLD, Al-Kα, X-ray source). The composition of the reaction solution was determined via solid-phase microextraction gas chromatography-mass spectrometry (SPME-GC-MS, QP2010 Ultra); the detailed detection conditions are shown in Text S2.

2.5 DFT calculations

All geometry optimisations and electronic-structure calculations were performed with periodic boundary conditions using density-functional theory (DFT) as implemented in CASTEP (Materials Studio 2020). The generalised-gradient approximation (GGA) in conjunction with the Perdew–Burke–Ernzerhof (PBE) functional was employed to describe the exchange–correlation. Ultrasoft pseudopotentials were used for the ion–valence interaction, and the Kohn–Sham orbitals were expanded in plane waves with a cut-off energy of 500 eV after convergence tests. The convergence thresholds for geometry optimisation were set to: energy ≤ 5 × 10−6 eV per atom, maximum pressure ≤ 0.1 GPa, maximum force ≤ 0.05 eV Å−1, and maximum displacement ≤ 2 × 10−3 Å. DFT-D corrections with the Tkatchenko–Scheffler (TS) scheme were applied to account for van der Waals and dispersion interactions. Owing to the strongly localised Mn-3d electrons, GGA + U was adopted with U = 3.81 eV to reduce self-interaction error. Spin polarisation was included for all Mn atoms. Brillouin-zone integration was carried out using the Monkhorst–Pack grid with a 1 × 1 × 1 k-point mesh.

After relaxation, the lattice parameters of the MnO2 unit cell were a = b = 2.9404 Å, c = 4.6555 Å, in good agreement with the experimental values (a = b = 4.4041 Å, c = 2.8765 Å). The (102) surface is the thermodynamically most stable facet of MnO2 and exhibits high catalytic activity. A 10 Å vacuum slab was inserted along the surface normal to eliminate spurious interactions between periodic images. For Mn2O3, the optimised cell parameter is a = b = c = 8.1484 Å, consistent with the experimental data (a = b = 4.4041 Å, c = 2.8765 Å). The (222) termination was chosen because it is the most stable exposed surface of Mn2O3 and possesses excellent catalytic properties; a 10 Å vacuum region was also applied.

The oxygen-vacancy formation energy was calculated according to:

Evac = EdefectEperfect + µO
where Edefect and Eperfect are the total energy of the slab containing the vacancy and the pristine slab, respectively, and µO is the oxygen chemical potential referenced to ½O2.

The adsorption energy of UDMH on the catalyst surface was evaluated as:

Eads = Eslab+UDMHEslabEUDMH
where Eslab+UDMH is the total energy of the adsorbed system, Eslab is the clean surface energy, and EUDMH is the energy of an isolated UDMH molecule; a negative Eads indicates an exothermic adsorption process.

3 Results and discussion

3.1 Catalytic performance and stability

MnO2 and Mn2O3 exhibited distinct catalytic performance in the microwave-assisted UDMH degradation process. Under identical conditions, microwave irradiation consistently outperformed conventional water-bath heating in terms of both COD removal efficiency and residual formaldehyde concentration (Fig. 1b). These results demonstrate that microwave assistance effectively enhances the catalytic activity. Specifically, the MnO2 system demonstrated superior COD removal efficiency (Fig. 1a). However, the Mn2O3 system demonstrated accelerated degradation kinetics toward formaldehyde. This difference in oxidation selectivity suggests the existence of distinct UDMH reaction pathways in the microwave-assisted MnO2 and Mn2O3 degradation systems, which might be determined by the different electronic structures and surface chemistry between MnO2 and Mn2O3. Recyclability tests were further conducted to evaluate the stability differences of the two manganese oxides (Fig. 1). Both MnO2 and Mn2O3 showed reduced activity after the first cycle, with Mn2O3 experiencing more significant deactivation. Thermal regeneration at 450 °C for 4 h in a muffle furnace effectively restored the catalytic activity of both MnO2 and Mn2O3, with COD removal efficiency recovering to levels comparable to their initial performance. Notably, MnO2 exhibited lower residual formaldehyde, indicating superior COD removal activity and cyclic stability compared to Mn2O3.
image file: d6ra00930a-f1.tif
Fig. 1 Comparative catalytic performance and stability of MnO2 and Mn2O3 in UDMH degradation: (a) under microwave-assisted conditions, showing COD removal efficiency, formaldehyde degradation efficiency, and recyclability tests via thermal regeneration; (b) under microwave-assisted and water-bath heating conditions, showing COD removal efficiency and formaldehyde degradation efficiency.

To elucidate the mechanism underlying the catalytic performance differences between MnO2 and Mn2O3, systematic characterizations were conducted to analyze critical differences in the crystalline stability, surface valence states, and functional group evolution between MnO2 and Mn2O3 during the reaction process. XRD analysis (Fig. S1) verified the structural stability of MnO2 (PDF# 97-007-6430) and Mn2O3 (PDF# 04-007-0856) during degradation and regeneration and indicated the exposed crystal plane of MnO2 (102) and Mn2O3 (222). Although Mn2O3 exhibited a higher Mn2+ leaching concentration (119 mg L−1 with a leaching rate of 0.27%) compared to MnO2 (3.5 mg L−1 with a leaching rate of 0.02%), neither catalyst displayed lattice distortion or structural collapse. To further verify the structural robustness, Mn2O3 was subjected to comprehensive post-cycling characterization following five consecutive catalytic runs. XRD and XPS analyses confirmed the preservation of the crystalline phase and the oxidation state integrity, with neither detectable phase transformation nor appreciable variation in manganese speciation observed (Fig. S1). These findings are consistent with the sustained catalytic performance demonstrated across multiple cycles.

The results of XPS analysis (Fig. 2 and Table 1) comprehensively revealed the valence-state evolution processes and the differences in the surface chemical behavior of MnO2 and Mn2O3 during the microwave-assisted degradation of UDMH. Deconvolution of the Mn 2p peaks indicated that the content of Mn2+ and Mn3+ in MnO2 increased significantly after the reaction, showing a transformation from Mn4+ to Mn2+ and Mn3+. For Mn2O3, the proportion of Mn4+ increased after the reaction, indicating that a conversion from Mn2+ and Mn3+ to Mn4+ occurred.31–35 This was further confirmed by analysis of the Mn 3s peak. The average oxidation state (AOS) of Mn could be calculated using the energy separation (ΔEmn3s) of the Mn 3s doublet, following the formula: AOS = 8.95–1.13ΔEmn3s (eV).36 For pristine, used, and regenerated MnO2 samples, the spin-energy separations of the Mn 3s peaks were determined to be 4.6, 4.8, and 4.75 eV, respectively, corresponding to average Mn oxidation states of +3.75, +3.53, and +3.58. In contrast, for pristine, used, and regenerated Mn2O3 samples, the Mn 3s spin-energy separations were 5.47, 5.45, and 5.48 eV, respectively, yielding average Mn oxidation states of +2.77, +2.79, and +2.76, respectively. This phenomenon fully demonstrated the existence of a Mn2+/Mn3+/Mn4+ valence-state cycle in both systems. In the microwave-catalyzed system, however, additional electron transfer induced by microwaves promotes manganese ion leaching. Notably, Mn2O3 exhibits higher leaching than MnO2. Combined with the results of recyclability tests, it could be elucidated that the stable high valence state of MnO2 and the dynamic Mn3+/Mn4+ cycle work synergistically, significantly enhancing the generation efficiency of reactive oxygen species; however, the Mn2+ dissolution in Mn2O3 might inhibit the further progress of the reaction, and its long-term stability was limited by the loss of active components.37 The above findings indicate a redox-mediated catalytic process by manganese oxides during the microwave-assisted degradation of UDMH, and the increased electron transport rate is the reason for the enhanced catalytic ability.


image file: d6ra00930a-f2.tif
Fig. 2 Comparative XPS analysis of MnO2 and Mn2O3: (a) Mn 2p of MnO2, (b) Mn 3s of MnO2, (c) Mn 2p of Mn2O3, (d) Mn 3s of Mn2O3, (e) C 1s of MnO2, (f) O 1s of MnO2, (g) C 1s of Mn2O3, and (h) O 1s of Mn2O3.
Table 1 Relative content of MnO2/Mn2O3: pristine, used, and regenerated states
Elements Assignment Percentage (%)
MnO2 Mn2O3
Pristine Used Regenerated Pristine Used Regenerated
Mn Mn4+ 60.6 52.4 55.4 23.41 25.16 21.54
Mn3+ 35.4 36.9 38.1 46.61 47.89 48.53
Mn2+ 4.0 10.7 6.5 29.98 26.95 29.93
C –COOH 10.2 10.4 9.7 8.4 9.7 9.7
C[double bond, length as m-dash]O 10.9 11.5 10.8 9.8 9.9 9.5
C–C 78.9 78.1 79.5 81.8 80.4 80.8
O OOH 5.4 10.9 4.8 6.6 3.3 2.6
Oads 30.8 33.4 29.4 33.9 30.6 32.3
Olatt 63.8 55.7 65.8 59.5 65.9 65.1


Further analysis of oxygen species shows that, after the reaction, the proportion of hydroxyl oxygen (O–OH) on the surface of the MnO2 increases, while the content of O–OH on the surface of Mn2O3 decreases.32 Combined with the fact that MnO2 exhibits a higher COD removal efficiency for UDMH than Mn2O3, it can be inferred that MnO2 is more effective in dissociating surface water molecules to generate ˙OH, which indirectly confirms its stronger capability to produce surface-bound ˙OH.

In addition, analysis of the C 1s spectrum indicates that, after the reaction, more C[double bond, length as m-dash]O and –COOH groups are present on the surface of the Mn2O3.38 This phenomenon suggests that the surface of Mn2O3 is more likely to adsorb oxygen-containing intermediates, and this adsorption may hinder the active sites, thereby leading to the deactivation of the catalyst.39

In conclusion, the high catalytic activity of MnO2 is attributed to its dynamic Mn2+/Mn3+/Mn4+ cycle, strong ˙OH generation ability, and surface self-cleaning characteristics. For Mn2O3, due to the relatively low stability of Mn3+ and its susceptibility to poisoning by the intermediates, its catalytic performance is limited to a certain extent.

3.2 Effects of typical reaction parameters on UDMH degradation

3.2.1 Dosage of the catalyst. The influence of catalyst dosage on the UDMH degradation pathway and intermediate distribution is illustrated in Fig. 3. At low concentrations (≤40 mmol L−1), the Mn2O3 system generates significantly more intermediates (e.g., TMT, FDMH, and NDMA) than the MnO2 system. This behavior is attributed to the accumulation of intermediates due to the low oxidation capacity of Mn2O3 at low concentrations. In contrast, at high concentrations (≥100 mmol L−1), the MnO2 system favors TMT formation, driven by its high surface Mn2+/Mn3+/Mn4+ cycle density that increases the formation of ˙OH and enhances oxidation capacity, facilitating the conversion of NDMA/FDMH into TMT. For Mn2O3, the reduction of complex products, such as TMT, might be due to the higher Mn3+/Mn2+ content, with Mn2+ having a stronger electron donor ability than Mn4+, leading to the reduction of TMT.40
image file: d6ra00930a-f3.tif
Fig. 3 Effect of MnO2/Mn2O3 loading on UDMH degradation efficiency. (a and b) Full UV wavelength spectra, and the amount of (c) COD, (d) CHOH, (e) UDMH, (f) total nitrogen, (g) NO3–N, (h) NH3–N, and (i) Mn2+ after the reaction.

As shown in Fig. 3c–e, increasing the catalyst dosage could reduce COD in both systems, with MnO2 demonstrating superior performance due to its stable Mn4+ dominance and the production of more free radicals, enabling efficient mineralization of organics to CO2/H2O. The divergent trends in residual formaldehyde reflect the catalytic capacity: for MnO2, formaldehyde first accumulates and then decreases. The generated free radicals preferentially convert UDMH and some intermediates into simple products, such as formaldehyde, at low doses, while formaldehyde would be mineralized by more free radicals at high doses. In contrast, for Mn2O3, Mn2+-mediated free radicals at low dosages produce more intermediate products without further mineralization, while at high dosages, additional radicals degrade these intermediates into formaldehyde. Notably, both catalysts achieve excellent UDMH degradation (residual <5%), indicating comparable abilities to cleave the initial C–N bond, but differ in intermediate conversion.

The nitrogen migration analysis (Fig. 3f–h) reveals that MnO2 outperforms Mn2O3 in total nitrogen removal, especially at high doses, which is attributed to its strong oxidizing Mn2+/Mn3+/Mn4+ cycle, which efficiently converts organic nitrogen into N2 or surface-bound species, while suppressing NDMA formation. In contrast, the lower oxidation capacity of Mn2O3 may lead to incomplete removal. The enhanced hydroxyl oxygen on MnO2 further aids nitrogen intermediate adsorption-oxidation, supporting its superiority in nitrogen-containing wastewater treatment.41

Manganese ion leaching experiments (Fig. 3i) highlight structural differences: Mn2O3 shows steady Mn2+ leaching (stabilizing at 111 mg L−1 at 40 mmol L−1), prompting systematic evaluation of homogeneous catalysis via dissolved manganese species. As summarized in Table S6, supplementation with a certain amount of Mn2+ concentrations marginally enhanced the catalytic performance, establishing that homogeneous contributions remain secondary. In contrast, MnO2 exhibits a leaching trend of initial increase followed by a sharp decrease (<5 mg L−1), attributed to its surface hydroxyl oxygen adsorbing Mn2+ to form a passivation layer, coupled with stable Mn4+ valence states that minimize active component loss.42 These results emphasize the superior structural stability of MnO2, which is critical for long-term catalytic applications. Collectively, both oxides operate predominantly as heterogeneous catalysts; the minor homogeneous component associated with Mn2O3 merely exerts a modest facilitative effect without altering the fundamental surface-mediated mechanism.

3.2.2 Initial pH of the solution. As shown in Fig. 4, the initial pH deeply influences the catalytic pathways of MnO2 and Mn2O3. Both catalysts exhibit the best comprehensive degradation performance under neutral conditions (pH 7) (Fig. 4a–h), although MnO2 demonstrates overall superior degradation efficiency compared to Mn2O3. This is attributed to the enhanced degree of surface hydroxylation of the catalysts in the neutral environment, which promotes the generation of ˙OH and deep oxidation of organic compounds. Under extreme acidic (pH 1) or alkaline (pH 11) conditions, the MnO2 system generates fewer intermediates, likely due to pH-induced structural alterations that inhibit catalytic activity—for example, partial conversion of δ-MnO2 to hausmannite at pH 4 disrupts the surface redox cycle.43 In contrast, Mn2O3 exhibits the fewest intermediate products under non-neutral pH conditions but accumulates intermediates at pH 7. The acidic medium protonated the Mn2O3 surface, imparting a net positive charge that weakened electrostatic attraction to the negatively charged reaction substrate.44 At the same time, the degradation effect would be reduced slightly when the alkalinity is higher. This is because excess OH- inhibits the production of ˙OH.45 The lowest residual nitrate nitrogen at pH 1 may be due to the acidic conditions disfavoring nitrification reactions (e.g., NH3 → NO3), while the high oxidizing property of MnO2 could further reduce nitrate nitrogen to N2, resulting in significantly better nitrogen removal efficiency than Mn2O3 (Fig. 4f–h). Meanwhile, the high oxidizing capacity of MnO2 also contributes to its superior comprehensive degradation performance over Mn2O3.
image file: d6ra00930a-f4.tif
Fig. 4 Effect of different initial pH values on UDMH degradation efficiency. (a and b) Full UV wavelength spectra, and the amount of (c) COD, (d) CHOH, (e) UDMH, (f) total nitrogen, (g) NO3–N, (h) NH3–N, and (i) Mn2+ after the reaction.

Manganese ion leaching (Fig. 4i) reveals distinct pH-dependent stability: under alkaline conditions (pH ≥ 9), Mn2+ leaching approaches zero for both catalysts, as OH precipitates Mn(OH)2, which forms a MnO2-like passivation layer via microwave-induced dehydration (XRD confirms no new phases, indicating structural consistency).46 In contrast, acidic conditions (pH ≤ 3) exacerbate Mn2O3 dissolution (Mn2+ leaching two times higher than for MnO2), aligning with its Mn3+ disproportionation-driven homogeneous catalysis. The low leaching of MnO2 over a wide pH range (especially in alkaline environments) ensures the long-term structural integrity of MnO2, which is a key advantage for practical applications.

Initial pH critically governs the catalytic pathways of MnO2 and Mn2O3. Both achieve optimal degradation at pH 7, with MnO2 consistently outperforming Mn2O3. Neutral media intensify surface hydroxylation, boosting ˙OH production, whereas extreme acidity/alkalinity deactivate the catalysts via structural transformation or inhibition of ˙OH. Under acidic conditions, Mn2O3 leaches markedly more Mn2+ than MnO2, while both exhibit negligible dissolution at pH ≥ 9 owing to surface passivation, indicating the long-term structural robustness of MnO2.

3.2.3 Experimental study on kinetics. Kinetic experiments revealed the time-dependent evolution of key components during UDMH degradation (Fig. 5a–h). Residual COD, formaldehyde, and UDMH exhibited monotonically decreasing trends, stabilizing after 60 min, indicating pseudo-first-order kinetics and reaction completeness. In contrast, nitrate nitrogen displayed a unique trend of initial increase followed by decrease, attributed to two sequential processes: early-stage oxidation of nitrogen-containing intermediates (e.g., NDMA) to NO3, and subsequent reduction to N2 or surface-bound nitrogen species driven by surface active sites on the catalysts.47 Meanwhile, compared with similar catalytic studies (Table 2), this research demonstrates unique advantages in the catalytic degradation of UDMH. Specifically, the degradation efficiency of UDMH reaches over 99% within 60 minutes, which is superior to that of comparable catalytic systems.
image file: d6ra00930a-f5.tif
Fig. 5 Dynamic curves of UDMH degradation in the microwave-assisted manganese oxide catalytic oxidation process: Comparative analysis of MnO2 and Mn2O3: (a) COD residual concentration, (b) formaldehyde residual concentration, (c) UDMH residual concentration, (d) total nitrogen residual concentration, (e) ammonia nitrogen residual concentration, (f) nitrate nitrogen residual concentration, (g) manganese ion leaching concentration, and (h) reaction temperature.
Table 2 Comparison of selected recent literature studies on UDMH degradation
No. Method of degradation UDMH (mg L−1) Reaction volume (mL) Removal efficiency k (min−1) References
1 Photocatalysis/TiO2/SBA-15 100 230 60 min 0.02511 8
80%
2 Catalytic activation of PMS/SBA-15 supported Co-based bimetallic catalysts 100 200 15 min 0.1177 48
100%
3 UVC/H2O2 100 250 20 min 0.2050 49
100%
4 UVC/PMS 100 250 30 min 0.1724 49
100%
5 Photocatalytic/Ag/β-cyclodextrin co-doped TiO2 20 20 80 min 0.037 50
96.8%
6 Catalytic wet peroxide oxidation/chitosan–silica nanoparticles catalyst 500 50 10 min 51
100%
7 Low temperature plasma generated 10 min 1.6825 52
95%
8 Biodeterioration 126 d 53
88%
9 Microwave catalysis/Mn2O3/MnO2 300 50 60 min This study
99.8%


The Mn2+ concentration initially increased due to the dynamic dissolution of the catalyst, but reached an adsorption–oxidation equilibrium in the later stage. Notably, the amount of Mn2+ leached from MnO2 was much lower than that from Mn2O3, which could be attributed to the complexation of Mn2+ by the surface hydroxyl oxygen groups on MnO2. This equilibrium suppressed further leaching, aligning with the stable residual Mn2+ concentration after 60 min (Fig. 5g). The reaction temperature reached its peak within 5 minutes, with the average reaction temperature of MnO2 being slightly higher than that of Mn2O3, which may correspond to its more thorough mineralization. The final mineralization results are presented in Table 3, where the total organic carbon (TOC) content of both samples decreased by approximately half, demonstrating their excellent oxidative capacity. The convergence of all indicators at 60 min confirmed the synergistic interplay between free-radical chain reactions and surface catalytic cycles, validating this duration as optimal for thorough degradation while minimizing secondary pollution risks.

Table 3 Mineralization of UDMH using the microwave-assisted manganese oxide catalytic oxidation process: comparative analysis of MnO2 and Mn2O3
  TOC (mg L−1) COD (mg L−1)
Reaction solution 81.76 543.05
MnO2 40.94 93.64
Mn2O3 45.41 220.27


3.3 Investigation of the reaction mechanism

Free-radical quenching experiments (Fig. 6) reveal that microwave-assisted degradation of UDMH by manganese oxides involves the synergistic action of ˙OH, 1O2, and e, with ˙OH identified as the dominant species. The significant drop in degradation efficiency upon adding tert-butanol (TBA, ˙OH quencher), far exceeding the inhibitory effects of L-histidine (1O2 quencher) and KBrO3 (e quencher), confirms that ˙OH is the key reactive oxygen species. This result aligns with the increased number of surface hydroxyl oxygen species (O–OH) on MnO2 observed in the XPS analysis.
image file: d6ra00930a-f6.tif
Fig. 6 Results of free radical quenching experiments.

In the Mn2O3 system, the addition of tert-butanol (TBA, a ˙OH scavenger) resulted in a much stronger inhibition of UDMH degradation compared to the MnO2 system. This observation indicates that the contribution of bulk hydroxyl radicals in the Mn2O3 system is higher than that in the MnO2 system, which is consistent with the previously discussed disproportionation-driven homogeneous catalysis mechanism. In summary, MnO2 enables efficient generation of ˙OH through the surface Mn4+/Mn3+/Mn2+ redox cycle, dominating the heterogeneous catalytic process. In contrast, Mn2O3 exhibits a unique dual functionality: in addition to the heterogeneous pathway, it generates ˙OH via surface Mn3+ disproportionation, thereby achieving a homogeneous-heterogeneous synergistic catalytic route. These fundamental differences in catalytic mechanisms explain their distinct degradation efficiencies and intermediate product distributions.

To elucidate structure–activity relationships, the physicochemical properties of MnO2 and Mn2O3 were systematically characterized. As shown in Fig. S4, both oxides exhibit type IV isotherms with H3 hysteresis loops, characteristic of mesoporous architectures assembled from aggregated plate-like particles. Notably, Mn2O3 displays a substantially larger hysteresis loop area than MnO2, indicating a more developed mesoporous network despite its lower specific surface area. This apparent contradiction arises from the significantly larger average pore diameter of Mn2O3 (22.07 nm) compared to MnO2 (8.57 nm), as broader pores generate more pronounced capillary condensation and evaporation hysteresis (Table S5). Consistent with this interpretation, MnO2 possesses a fourfold higher Brunauer–Emmett–Teller (BET) specific surface area (44.89 m2 g−1) relative to Mn2O3 (10.51 m2 g−1), alongside enhanced micropore area (3.46 versus 2.03 m2 g−1) and micropore volume (0.00189 versus 0.00092 cm3 g−1). These parameters corroborate its hierarchically porous structure with greater surface curvature and micropore-mediated active-site density. Particle size distributions centered at 1.70 µm (MnO2) and 3.48 µm (Mn2O3) indicate comparable colloidal dimensions that preclude transport limitations as the origin of activity divergence (Fig. S4c and f). The divergent textural advantages—MnO2 with superior specific surface area and microporosity, Mn2O3 with greater total pore volume—demonstrate that neither physical parameter alone governs catalytic performance. Instead, electronic properties and Mn(IV)-mediated redox dynamics constitute the dominant mechanistic drivers under microwave-assisted conditions.

Based on the structural models from XRD data, DFT calculations reveal pronounced differences in the energetic and electronic properties of MnO2 and Mn2O3. Normalized total-energy computations confirm that MnO2 possesses lower energy (−1650.77 eV vs. −1408.86 eV for Mn2O3), implying superior structural stability, which underpins its enhanced resistance to manganese leaching. Combined band-structure and density-of-states analyses (Fig. 7) further show that the valence-band maximum and conduction-band minimum of MnO2 coincide at the same k-point, giving a direct band gap with vanishing density of states at the Fermi level (EF); this intrinsic semiconducting behavior implies only weak electron-transport effects on surface reactivity. In contrast, Mn2O3 exhibits bands crossing EF and a finite DOS at EF, manifesting metallic conductivity; consequently, electron transfer is highly efficient and strongly modulates surface chemistry, consistent with the more pronounced radical quenching observed in our earlier experiments.


image file: d6ra00930a-f7.tif
Fig. 7 Analysis of energy bands and density of states (DOS) of MnO2 and Mn2O3: (a) band structure of MnO2, (b) DOS of MnO2, (c) band structure of Mn2O3, and (d) DOS of Mn2O3.

To quantitatively compare oxidation and oxygen-release capabilities, we calculated the surface oxygen-vacancy (Vo) formation energies. MnO2 exhibits a Vo value of 2.10 eV, whereas Mn2O3 reaches 2.41 eV, consistent with previous reports.54 Density-functional results reveal that MnO2 (2.10 eV) forms surface Vo more readily than Mn2O3 (2.41 eV) (Fig. 8). This disparity is rooted in their electronic structures: the narrow band gap of MnO2 positions the Mn-3d states across the Fermi level, enabling facile electron localization–delocalization transitions at a low energy cost and thereby markedly lowering the Vo formation barrier. In contrast, the wide band gap of Mn2O3 pushes Mn-3d states toward the conduction-band minimum, demanding greater thermal activation for defect creation. Under the oxygen-lean conditions typical of catalytic reactions, MnO2 will therefore sustain a higher Vo concentration than Mn2O3, supplying more vacancy-mediated *OH → *O → *OOH sites for sequential oxygen exchange and endowing MnO2 with superior intrinsic OER activity and a lower overpotential.


image file: d6ra00930a-f8.tif
Fig. 8 Formation energy of oxygen vacancies over different manganese oxides: (a) polyhedron of MnO2, (b) supercell of MnO2, (c) defectcell of MnO2, (d) polyhedron of Mn2O3, (e) supercell of Mn2O3, and (f) defectcell of Mn2O3.

Optimised MnO2 and Mn2O3 slabs were obtained by cleaving five-layer (102) and (222) terminations, respectively, and expanding them into 2 × 2 × 2 and 1 × 1 × 1 supercells with a 10 Å vacuum gap. After relaxation, the nitrogen atom closer to the UDMH backbone exhibited the highest nucleophilicity and electrophilicity; consequently, only its interaction with the two surfaces was considered. Fig. 9 and S5 show that UDMH preferentially adsorbs at bridge sites on both manganese oxides, yet with substantially disparate binding strengths. On MnO2(102), the N–Mn adsorption distance is 2.99 Å and the adsorption energy is 88.77 kJ mol−1 (0.92 eV), placing the adduct in the weak chemisorption regime. In contrast, on Mn2O3 (222), the N–Mn separation is 3.59 Å, and the adsorption energy is only 13.51 kJ mol−1 (0.14 eV), indicative of pure van der Waals physisorption. Two-dimensional electron-density-difference maps sliced along the N–N bond and perpendicular to the surface (Fig. 10) reveal a pronounced electron-depletion zone (blue) on the Mn atom below nitrogen for MnO2, whereas no appreciable charge transfer is detected on Mn2O3, consistent with the observed difference in adsorption strength (Table 4).


image file: d6ra00930a-f9.tif
Fig. 9 Configuration of UDMH adsorption on the MnO2 (102) and Mn2O3 (2220) surfaces. (O atoms are red; N atoms are blue; Mn atoms are purple; and cyan dashed lines indicate the distance between UDMH molecules and the supercell surface in Å): (a and b) side and top views of the MnO2 (102) surface; (c and d) MnO2 supercell before and after UDMH adsorption; (e and f) side and top views of the Mn2O3 (2220) surface; (g and h) Mn2O3 supercell before and after UDMH adsorption.

image file: d6ra00930a-f10.tif
Fig. 10 Electron density difference diagram of UDMH adsorption on the MnO2 (102) and Mn2O3 (2220) surfaces. (O atoms are red; N atom is blue; Mn atoms are gray; and blue and red indicate a decrease and increase in the electron density, respectively).
Table 4 Energies for UDMH adsorption on MnO2 (102) and Mn2O3 (222) surfaces
Adsorption site Eads (kJ mol−1) Adsorption distance (Å)
MnO2 −88.77 2.99
Mn2O3 −13.51 3.59


Kinetic analysis (Fig. 5) and SPME-GC-MS detection (Fig. S2–S3 and Table S4) outline the UDMH degradation pathway (Fig. 11), where intermediate concentrations peak at 5 min and stabilize after 60 min, validating the selected reaction duration.


image file: d6ra00930a-f11.tif
Fig. 11 UDMH degradation pathways in the microwave-assisted catalytic oxidation process. (For Mn2O3 degradation products, lowercase symbols (lx) represent intermediates at 5 min, while uppercase symbols (Lx) denote products at 60 min. For MnO2 degradation products, lowercase symbols (px) indicate intermediates at 5 min, and uppercase symbols (Px) signify final products at 60 min.).

Key differences emerge in intermediate conversion: both catalysts follow pathway ① to form tetramethyl tetrazene (TMT) and nitrosodimethylamine (NDMA) via radical recombination, but Pathway ② exhibits catalyst-specific behavior. MnO2 promotes direct hydrogenation of critical intermediates to dimethylamine, enabling deep mineralization with over 90% COD removal and suppressing toxic byproducts. In contrast, Mn2O3 drives hydroxylation to formamide and favors the accumulation of highly methylated products, such as pentamethylpyrrole, which is attributed to its metallic electronic structure.

Combining XPS, XRD, radical quenching experiments, and DFT calculations, this study reveals that the degradation mechanisms of UDMH in microwave-assisted manganese oxide systems exhibit significant valence-state dependency and catalyst specificity (Fig. 12). XPS analysis shows the changes in the ratio of Mn2+/Mn3+/Mn4+ on the surfaces of MnO2 and Mn2O3, confirming the differences in electron transfer pathways between the two under microwave fields. Benefiting from its low oxygen-vacancy formation energy, MnO2 facilitates the generation of ˙OH via surface Mn4+ and hydroxyl oxygen, concomitantly producing Mn2+ and Mn3+ (eqn (1)). These radicals synergistically cleave the N–N and C–N bonds in UDMH, producing intermediates such as FDMH and NDMA, which are ultimately mineralized into CO2 and H2O. Furthermore, organic intermediates act as electron acceptors to drive the catalytic recycling of Mn2+ and Mn3+ to Mn4+ (eqn (2)), ensuring sustained catalytic activity. Owing to its metallic nature, Mn2O3 generates ˙OH not only through a heterogeneous catalytic system55 but also via dielectric heating loss and Mn3+ disproportionation reactions (eqn (3) and (4)). However, its low electron mobility results in insufficient radical generation efficiency, leading to the accumulation of toxic intermediates such as NDMA. Additionally, the accumulation of Mn2+ (0.27%) inhibits catalytic recycling, necessitating microwave-induced dipolar polarization to promote the re-oxidation of Mn2+.

 
image file: d6ra00930a-t1.tif(1)
 
image file: d6ra00930a-t2.tif(2)
 
image file: d6ra00930a-t3.tif(3)
 
image file: d6ra00930a-t4.tif(4)


image file: d6ra00930a-f12.tif
Fig. 12 Schematic of the UDMH degradation mechanisms.

Finally, the ecotoxicological impacts of UDMH and its degradation products on three trophic levels were assessed using the ECOSAR predictive model. As shown in Fig. 13, acute toxicity was partially attenuated after 5 min of degradation. With the exception of intermediates image file: d6ra00930a-t5.tif/image file: d6ra00930a-t6.tif and l6, all identified species exhibited reduced acute toxicity relative to the parent compound. The elevated toxicity of image file: d6ra00930a-t7.tif/image file: d6ra00930a-t8.tif and l6 is attributed to the formation of C[double bond, length as m-dash]N and conjugated C[double bond, length as m-dash]C functionalities, respectively, which confer potent electrophilic character. Electrophilic reaction species (RES) can undergo nucleophilic attack on biomacromolecules—including proteins, nucleic acids, and lipids—eliciting adverse biological effects. Concurrently, chronic toxicity to algae decreased after 5 min, whereas hazard profiles for fish and daphnia intensified, presumably reflecting the higher protein content in these organisms and consequent susceptibility to electrophilic adduction.56 Notably, following 60 min of treatment, the majority of degradation products exhibited toxicity levels substantially below that of UDMH. These results demonstrate that microwave-assisted catalysis achieves effective detoxification, despite the transient generation of high-toxicity intermediates.


image file: d6ra00930a-f13.tif
Fig. 13 Toxicity analysis results using ECOSAR software (for Mn2O3 degradation products, lowercase symbols (lx) represent intermediates at 5 min, while uppercase symbols (Lx) denote products at 60 min. For MnO2 degradation products, lowercase symbols (px) indicate intermediates at 5 min, and uppercase symbols (Px) signify final products at 60 min).

Based on the experimental results, characterization analyses and theoretical calculations provided above, a microwave–driven reaction mechanism is proposed for catalytic performance comparison between MnO2 and Mn2O3. MnO2 excels in mineralization due to its low oxygen-vacancy formation energy, enriched surface hydroxyls, and stable Mn4+, which confer superior stability (leaching < 0.02%) and efficient catalysis. In contrast, Mn2O3—although intrinsically metallic—suffers from a higher vacancy-formation penalty and pronounced Mn3+ disproportionation, causing incomplete nitrogen removal and intermediate accumulation, requiring post-treatment (e.g., ozonation) to reduce NDMA risks.

4 Conclusion

This study reveals the mechanistic differences in the catalytic degradation of UDMH with MnO2 and Mn2O3 under microwave-assisted conditions by comparing the relationship between the electronic structure, surface chemical behavior, and degradation performance of the two manganese oxides. The results show that, by its low oxygen-vacancy formation energy and dynamic Mn2+/Mn3+/Mn4+ valence state cycle, MnO2 efficiently generates ˙OH through a heterogeneous surface oxidation pathway. This significantly improves the deep mineralization efficiency of UDMH (with a COD removal rate of >90%) and suppresses the formation of nitrosamine intermediates. On the other hand, due to the disproportionation reaction of Mn3+ in Mn2O3 (2Mn3+ → Mn2+ + Mn4+), a homogeneous-heterogeneous synergistic catalytic pathway is triggered, leading to the accumulation of formaldehyde and polymethylated products (such as pentamethylpyrrole and NDMA), which pose a higher toxicity risk. In addition, the enrichment of surface hydroxyl oxygen in MnO2 and its self-cleaning properties endow it with excellent structural stability, while the loss of active components in Mn2O3 (with a leaching rate of 0.27%) limits its long-term performance. Therefore, MnO2 is suitable for the deep mineralization of high-concentration wastewater, while Mn2O3 requires subsequent processes to control the risks associated with the intermediates. Future research can focus on the regulation of the surface nanostructures of manganese oxides to further enhance the selective degradation ability and the potential for engineering applications. This study provides a theoretical basis for the selection and optimization of manganese-based catalysts in the treatment of nitrogen-containing wastewater.

Author contributions

Jiepeng Wang: investigation, methodology, data curation, visualization, writing – original draft. Siyu He: investigation, writing – review & editing. Zhe Wang: investigation. Yunlong Deng: methodology. Jielei Hao: visualization. Xuqian Wang: investigation, methodology, writing – review & editing. Yongkui Zhang: conceptualization, methodology, supervision.

Conflicts of interest

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.

Data availability

All raw data and supporting information are provided in the supplementary information (SI). Supplementary information: detailed characterization methods and experimental procedures; supplementary XRD and XPS data; GC-MS analysis results; additional DFT calculation results; possible degradation products; and physicochemical data for MnO2 and Mn2O3. See DOI: https://doi.org/10.1039/d6ra00930a.

Acknowledgements

The authors gratefully acknowledge funding support from the National Natural Science Foundation of China under grant No. 22178237 and the China Postdoctoral Science Foundation (funded Project No. 2023M742452). We also thank the Center of Engineering Experimental Teaching, School of Chemical Engineering, Sichuan University, for the technical support and acknowledge the kind assistance of Lin Xiang in ICP-OES quantitative analysis.

References

  1. A. L. Milyushkin and A. E. Karnaeva, Sci. Total Environ., 2023, 891, 164367 CrossRef CAS PubMed.
  2. C. Hu, Y. Zhang, Y. Zhou, Z.-f. Liu and X.-s. Feng, J. Hazard. Mater., 2022, 432, 128708 CrossRef CAS PubMed.
  3. A. R. Zarei, A. Pedram and H. Rezaeivahidian, Desalin. Water Treat., 2016, 57, 18906–18914 CrossRef CAS.
  4. J. Su, J. Ying, H. Ruomeng, H. Yuanzheng, S. Keke and Z. and Hao, Environ. Technol., 2023, 44, 1493–1504 CrossRef CAS PubMed.
  5. Y. Hajizadeh, M. M. Amin, K. Ebrahim and I. Parseh, Atmos. Pollut. Res., 2018, 9, 37–46 CrossRef CAS.
  6. Q. L. Liao, C. G. Feng and L. Wang, Appl. Sci.-Basel, 2016, 6, 19 CrossRef.
  7. X. Zhang, Z. Guo, P. Sun, X. Liu, Z. Luo, J. Li, D. Zhang and X. Xu, Sep. Purif. Technol., 2023, 312, 123425 CrossRef CAS.
  8. Y. Z. Huang, Y. Jia, R. M. Hou, Z. Y. Huang, K. K. Shen, G. F. Jin and L. Hou, RSC Adv., 2021, 11, 24172–24182 RSC.
  9. G. Prasannamedha and P. S. Kumar, J. Clean Prod., 2020, 250, 15 CrossRef.
  10. X. Mu, W. Xuanjun, Z. Yue, L. Bo and J. Yang, Environ. Technol., 2021, 42, 2709–2720 CrossRef CAS PubMed.
  11. Y. Huang, Y. Jia, L. Zuo, Y. Huo, R. Liu and L. a. Hou, Chem. Eng. J., 2022, 450, 138054 CrossRef CAS.
  12. D. S. Kosyakov, N. V. Ul'yanovskii, I. I. Pikovskoi, B. Kenessov, N. V. Bakaikina, Z. Zhubatov and A. T. Lebedev, Chemosphere, 2019, 228, 335–344 CrossRef CAS PubMed.
  13. S. Chandra, P. Das, S. Bag, R. Bhar and P. Pramanik, Mater. Sci. Eng. B-Adv. Funct. Solid-State Mater., 2012, 177, 855–861 CrossRef CAS.
  14. V. Alwera, S. Singh, V. C. Srivastava and T. K. Mandal, ChemistrySelect, 2020, 5, 4674–4684 CrossRef CAS.
  15. C. D. Qi, X. T. Liu, C. Y. Lin, X. H. Zhang, J. Ma, H. B. Tan and W. Ye, Chem. Eng. J., 2014, 249, 6–14 CrossRef CAS.
  16. S. Sharma, T. Sharma, S. Pandey, S. Azizov and D. Kumar, in Nanoparticles in Green Organic Synthesis, ed. S. Bhunia, B. Kumar, P. Singh, R. Oraon and K.-H. Kim, Elsevier, 2023, pp. 241–253,  DOI:10.1016/B978-0-323-95921-6.00004-4.
  17. W. Wang, F. Zhang, P. Chang, X. Luo, K. Miao and G. Feng, Inorg. Chem. Commun., 2022, 143, 109738 CrossRef CAS.
  18. L. Tian, G. Lv, L. Wu, L. Bian, M. Liu and L. Liao, Appl. Surf. Sci., 2023, 621, 156801 CrossRef CAS.
  19. T.-L. Lai, C.-C. Lee, K.-S. Wu, Y.-Y. Shu and C.-B. Wang, Appl. Catal. B-Environ., 2006, 68, 147–153 CrossRef CAS.
  20. I. Ibrahim, A. Kaltzoglou, C. Athanasekou, F. Katsaros, E. Devlin, A. G. Kontos, N. Ioannidis, M. Perraki, P. Tsakiridis, L. Sygellou, M. Antoniadou and P. Falaras, Chem. Eng. J., 2020, 381, 12 CrossRef.
  21. C. Yin, J. J. Cai, L. F. Gao, J. Y. Yin and J. C. Zhou, J. Hazard. Mater., 2016, 305, 15–20 CrossRef CAS PubMed.
  22. Y. H. Zhou, X. X. Lei, J. Y. Zhou, D. L. Yan, B. Deng, Y. D. Liu and W. L. Xu, Catal. Surv. Asia, 2023, 27, 319–331 CrossRef CAS.
  23. P. Wang, J. Zhao, Q. Zhao, X. Ma, X. Du, X. Hao, B. Tang, A. Abudula and G. Guan, J. Colloid Interface Sci., 2022, 607, 100–110 CrossRef CAS PubMed.
  24. Y. Gao and D. L. Zou, Chem. Eng. J., 2020, 393, 11 CrossRef.
  25. E. R. Stobbe, B. A. de Boer and J. W. Geus, Catal. Today, 1999, 47, 161–167 CrossRef CAS.
  26. S.-L. Chiam, S.-Y. Pung, F. Y. Yeoh and M. Ahmadipour, Mater. Chem. Phys., 2022, 280, 125848 CrossRef CAS.
  27. X. Zhang, X. Zhang, B. Zhou, P. Wang, Y. Wang, F. Meng, C. Wei, X. Huang and G. Wen, Colloids Surf., A, 2023, 667, 131436 CrossRef CAS.
  28. C. Yin, J. Cai, L. Gao, J. Yin and J. Zhou, J. Hazard. Mater., 2016, 305, 15–20 CrossRef CAS PubMed.
  29. I. Ibrahim, A. Kaltzoglou, C. Athanasekou, F. Katsaros, E. Devlin, A. G. Kontos, N. Ioannidis, M. Perraki, P. Tsakiridis, L. Sygellou, M. Antoniadou and P. Falaras, Chem. Eng. J., 2020, 381, 122730 CrossRef CAS.
  30. J. Yan, L. Han, W. Gao, S. Xue and M. Chen, Bioresour. Technol., 2015, 175, 269–274 CrossRef CAS PubMed.
  31. F. Wang, T. Li, Y. Fang, Z. Wang and J. Zhu, J. Alloy. Compd., 2021, 857, 157531 CrossRef CAS.
  32. Y. Wang, X. Li, J. Xiao, D. Chen, N. Li, Q. Xu, H. Li, J. He and J. Lu, Sci. Total Environ., 2022, 839, 156345 CrossRef CAS PubMed.
  33. K. Li, H. Li, T. Xiao, J. Long, G. Zhang, Y. Li, X. Liu, Z. Liang, F. Zheng and P. Zhang, J. Environ. Manage., 2019, 251, 109563 CrossRef CAS PubMed.
  34. L. Yang, F. Yang, H. Zhang, H. Zhou, M. Luo, Y. Liu, C. Zhao, L. Zheng and B. Lai, J. Hazard. Mater., 2023, 454, 131479 CrossRef CAS PubMed.
  35. H. Yan, S. Yao, J. Wang, S. Zhao, Y. Sun, M. Liu, X. Zhou, G. Zhang, X. Jin, X. Feng, Y. Liu, X. Chen, D. Chen and C. Yang, Appl. Catal. B-Environ., 2021, 284, 119803 CrossRef CAS.
  36. Y. Li, J. You, Z. Yu, C. Du, Y. Wang and S. Cheng, Int. J. Electrochem. Sci., 2024, 19, 100663 CrossRef CAS.
  37. D. Jia, M. Brigante, C. Zhang and G. Mailhot, J. Water Process. Eng., 2023, 56, 104388 CrossRef.
  38. X. Liu, X. Yan, W. Liu, Q. Yan and M. Xing, Sci. Bull., 2023, 68, 603–612 CrossRef CAS PubMed.
  39. G. Huang, Y. Zhou, J. Zhang, W. He, X. Zeng, D. Feng, Y. Ge and Y. Shao, ChemistrySelect, 2024, 9, e202404504 CrossRef CAS.
  40. J. K. Klewicki, The Kinetics of Redox Reactions of Mn(II) and Mn(III) in Aqueous Systems: Homogeneous Autoxidation of Mn(II) and the Formation and Disappearance of Mn(III) Complexes, PhD thesis, California Institute of Technology, 1996 Search PubMed.
  41. L. Zhang, J. Ma and M. Yu, Solid State Sci., 2008, 10, 148–153 CrossRef CAS.
  42. A. A. Yousef, M. A. Arafa and M. A. Malati, Open J. Appl. Chem. Biotechnol., 2007, 21, 200–207 CrossRef.
  43. H. Liu, X. Cui, X. Lu, E. D. Flynn and J. G. Catalano, Geochim. Cosmochim. Acta, 2025, 395, 166–180 CrossRef CAS.
  44. J. Wang, H. Tang, H. Ren, R. Yu, J. Qi, D. Mao, H. Zhao and D. Wang, Advanced Science, 2014, 1, 1400011 CrossRef PubMed.
  45. P. Liu, Z. Wu, A. V. Abramova and G. Cravotto, Ultrason. Sonochem., 2021, 74, 105566 CrossRef CAS PubMed.
  46. M. Rabe, C. Toparli, Y.-H. Chen, O. Kasian, K. J. J. Mayrhofer and A. Erbe, Phys. Chem. Chem. Phys., 2019, 21, 10457–10469 RSC.
  47. S. Wang, Y. x. Wang, J. Wang, Z. Jiang, J. Ma, Y. Liu, Y. Zhou, Z. Zhang and C. Chen, ACS ES&T Engineering, 2025,  DOI:10.1021/acsestengg.5c00021.
  48. Y. Z. Huang, Y. Jia, L. Zuo, Y. G. Huo, R. Y. Liu and L. A. Hou, Chem. Eng. J., 2022, 450, 12 Search PubMed.
  49. Y. Z. Huang, Y. Jia, L. Zuo, Y. G. Huo, Y. Y. Zhang and L. Hou, J. Water Process. Eng., 2022, 49, 9 Search PubMed.
  50. Y. Zhang, Q. Li, Q. Gao, S. Wan, P. Yao and X. Zhu, Appl. Catal. B-Environ., 2020, 267, 118715 CrossRef CAS.
  51. J. Wang, Y. Zhou, Y. Shao, F. He, M. Wu, H. Ni, Y. Zheng and Y. Sun, Res. Chem. Intermed., 2019, 45, 1721–1735 CrossRef CAS.
  52. L. Yi, L. Guo, H. Jin, J. Kou, D. Zhang and R. Wang, Int. J. Hydrogen Energy, 2018, 43, 8644–8654 CrossRef CAS.
  53. Y. Hajizadeh, M.-M. Amin, K. Ebrahim and I. Parseh, Atmos. Pollut. Res., 2018, 9, 37–46 CrossRef CAS.
  54. F.-X. Tian, H. Li, M. Zhu, W. Tu, D. Lin and Y.-F. Han, ACS Appl. Mater. Interfaces, 2022, 14, 18525–18538 CrossRef CAS PubMed.
  55. J. Wang, W. Tong, X. Wang, P. Li, H. Yan and Y. Zhang, Sep. Purif. Technol., 2023, 327, 124849 CrossRef CAS.
  56. S. J. Enoch and M. T. Cronin, Crit. Rev. Toxicol., 2010, 40, 728–748 CrossRef CAS PubMed.

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