Si–O doped layered carbon-based catalyst boosts nonradical oxidation pathways via peroxymonosulfate activation for refractory organic pollutants removal

Cheng Han Lanlan Liang Jiao Yang Yin Wei Zhe Zhang Haonan Chen Wei Yu Chuanliang Zhao Liwei Yang Bo Lai

Citation:  Cheng Han, Lanlan Liang, Jiao Yang, Yin Wei, Zhe Zhang, Haonan Chen, Wei Yu, Chuanliang Zhao, Liwei Yang, Bo Lai. Si–O doped layered carbon-based catalyst boosts nonradical oxidation pathways via peroxymonosulfate activation for refractory organic pollutants removal[J]. Chinese Chemical Letters, 2026, 37(9): 112410. doi: 10.1016/j.cclet.2026.112410 shu

Si–O doped layered carbon-based catalyst boosts nonradical oxidation pathways via peroxymonosulfate activation for refractory organic pollutants removal

English

  • Recently, the widespread occurrence of refractory organic pollutants in the environment has posed significant risks to aquatic ecosystems and human health [1]. It is essential to develop efficient technologies for the removal of refractory organic pollutants. Among various treatment technologies, peroxymonosulfate-based advanced oxidation processes (PMS-AOPs) have gained considerable attention due to the advantages of strong oxidation capacity, high stability, and wide application [25]. Recent studies have shown that PMS-AOPs exhibit multiple pollutant degradation pathways, which can be generally divided into radical and nonradical pathways [6,7]. For radical pathways, various reactive oxygen species (ROS) with strong oxidation capacity such as hydroxyl radicals (OH), sulfate radicals (SO4), are in situ generated through the cleavage of the O–O bond in peroxymonosulfate (PMS) [8].

    However, the radical pathway is highly sensitive to common constituents in real wastewater, such as inorganic anions (e.g., Cl, HCO3, NO3) and organic matter (e.g., humic acid (HA)). These substances can quench ROS (e.g., SO4, OH), significantly reducing the pollutant degradation efficiency [3,9]. Nonradical pathways, including singlet oxygen (1O2) and electron transfer processes (ETP), have been extensively investigated as promising alternatives for achieving efficient and selective pollutant removal under complex water conditions. This is attributed to their longer lifetimes, resistance to radical scavengers, and reduced interference from background constituents in actual wastewater [4,5,10,11].

    Carbon-based catalysts have emerged as promising materials for PMS activation via nonradical pathways. This is due to their tunable surface properties, chemical stability, and tendency to mediate a nonradical pathway [8,10,12]. Nevertheless, the widespread adoption of carbon-based catalysts is still constrained by their moderate catalytic activity and stability [11,13]. Recent studies have demonstrated that heteroatom doping, defect engineering, and graphitized structure can significantly enhance the catalytic activity of carbon-based catalysts [10,12,14,15]. In particular, doping with heteroatoms of varying electronegativity (e.g., N, P, O, Si) can modulate the electronic structure to adjust surface charge distribution. This facilitates the adsorption of PMS on active sites and promotes the generation of nonradicals [10,1416]. Among these, Si–O bonds have shown great potential in facilitating PMS activation due to the large electronegativity difference between Si (1.90) and O (3.44) [10]. However, their specific role and underlying mechanism in boosting PMS activation for the generation of nonradicals remain unclear [14,17].

    Vermiculite (VMT), a natural silicate mineral, possesses a unique layered structure, excellent adsorption capacity, and notable cation exchange properties [18,19]. Owing to these physicochemical characteristics, VMT can serve as a source of Si and O for incorporation into carbon-based catalysts, modulating their surface electronic structure and thereby enhancing PMS activation. Furthermore, VMT serves as a hard template to promote the formation of porous layered frameworks, enhancing the contact between PMS and active sites and thereby accelerating the catalytic reactions. These advantages make VMT a promising candidate for fabricating Si–O doped layered carbon-based catalysts for PMS activation, providing new insights into the Si–O-mediated mechanism for inducing nonradical pathways.

    In this study, a novel Si–O-doped porous layered carbon catalyst (Si/C@PDA) was synthesized using VMT as both a structural template and Si–O source via the polymerization of dopamine under alkaline conditions followed by calcination and acid etching (Texts S1 and S2 in Supporting information). The structural and compositional properties of Si/C@PDA were thoroughly characterized. Its catalytic performance and degradation mechanisms were investigated using multiple techniques, including quenching tests, electron paramagnetic resonance (EPR), electrochemical measurements, and density functional theory (DFT) simulations (Texts S3–S13, Table S1 in Supporting information).

    The scanning electron microscope (SEM) showed that the VMT has a layered structure (Fig. 1a) and the thickness of layer was uneven (Fig. 1b). The Si/C@PDA successfully retained the layered structure of the VMT template (Fig. 1c). The transmission electron microscope (TEM) images further confirmed that the precursor (Si/C@PDA pre) and Si/C@PDA exhibited a layered structure (Fig. 1d and Fig. S1 in Supporting information). The primary elements in VMT were Al, Si, and O, while Si/C@PDA pre mainly consisted of C and Al (Fig. 1b and Fig. S1c). In contrast, Si/C@PDA was primarily composed of C, N, O, and Si (Fig. 1d). The above results indicated that a Si–O doped layered carbon-based catalyst was successfully synthesized using VMT as a hard template.

    Figure 1

    Figure 1.  (a) SEM and (b) energy dispersive X-ray spectroscopy (EDS) element mapping images of VMT. (c) SEM, (d) TEM and EDS element mapping images of Si/C@PDA.

    The chemical states of catalysts were probed by X-ray photoelectron spectroscopy (XPS). As presented in Fig. S2a (Supporting information), the XPS survey spectra indicated the existence of C, Si, and O in Si/C@PDA. In the XPS Si 2p spectra of Si/C@PDA, a distinct peak corresponding to Si–O–C appeared at 101.82 eV, and the Si–O peak was observed at 103.36 eV (Fig. 2a and Table S2 in Supporting information) [10,17]. Compared with VMT (102.65 eV), the Si–O peak in Si/C@PDA showed a significant red shift of 0.71 eV. This shift indicated an altered electronic environment around the Si atoms, likely resulting from covalent bonding between Si–O and the carbon matrix [20]. The XPS spectra of C 1s revealed significant differences in carbon content and composition between VMT and Si/C@PDA (Fig. 2b and Table S2). Si/C@PDA exhibited a markedly higher proportion of C–C bonds compared to other carbon bond types. The XPS N 1s spectra of Si/C@PDA revealed the presence of graphitic N, pyridinic N and pyrrolic N (Fig. 2c and Table S2) [21].

    Figure 2

    Figure 2.  (a) XPS Si 2p, (b) XPS C 1s, (c) XPS N 1s, and (d) XRD patterns of VMT and Si/C@PDA. (e) Raman spectra and (f) N2 adsorption-desorption isotherms.

    X-ray diffraction (XRD) was used to investigate the differences in the crystal structure of the catalyst (Fig. 2d and Fig. S2b in Supporting information). The XRD patterns indicated that VMT was primarily composed of quartz (PDF #79–1905). Si/C@PDA showed characteristic patterns of graphitic carbon and SiO2 (PDF #65–466), indicating a composition dominated by carbon-based materials and quartz. The Raman spectrum results indicated that the ID/IG ratio of Si/C@PDA was 1.50, which was higher than that of C@PDA, suggesting that Si/C@PDA had a higher degree of defects (Fig. 2e). N2 adsorption-desorption analysis revealed a mesoporous structure in Si/C@PDA. This was further confirmed by the pore size distribution (Fig. 2f and Fig. S2c in Supporting information). Furthermore, Si/C@PDA exhibited a specific surface area of 70.6 m2/g, which was substantially higher than that of pristine VMT (6.4 m2/g) (Table S3 in Supporting information).

    As illustrated in Fig. S3 (Supporting information), the negligible oxidation observed with PMS alone indicated its ineffectiveness in degrading tetracycline (TC). Meanwhile, Si/C@PDA alone achieved approximately 30% TC removal, primarily attributed to adsorption. The Si/C@PDA/PMS system achieved over 95% removal of TC, exhibiting an apparent reaction rate constant (kobs) of 0.228 min–1. This value is 22.8 times higher than that of PMS alone (Fig. S4a in Supporting information). This enhanced activity could be attributed to the synergistic interaction between Si–O bonds and the carbon matrix, promoting electron transfer and ROS generation. A comparative analysis of the oxidation capabilities of various carbon-based and metal-based catalysts for pollutant degradation is presented in Fig. S5 and Table S4 (Supporting information). Among these, the Si/C@PDA/PMS system demonstrated exceptional catalytic performance, surpassing most carbon-based catalysts and even exceeding that of many metal-based systems.

    The effects of catalyst dosages, PMS concentration, and initial pH on pollutant degradation were investigated (Fig. 3 and Fig. S4 in Supporting information). Considering both catalytic efficiency and cost-effectiveness, the optimal conditions for subsequent experiments were determined to be the catalyst dosage of 0.1 g/L and the PMS concentration of 0.5 mmol/L. The effect of solution pH in Si/C@PDA/PMS system is presented in Fig. 3a. Across the pH range of 3.0–7.0, the Si/C@PDA/PMS system exhibited robust catalytic performance with 100% TC removal. Meanwhile, the TC removal decreased from 100% to 92% as the pH increased from 7.0 to 11.0, which could be attributed to the enhanced self-decomposition of PMS under alkaline conditions [22]. The results indicated that the Si/C@PDA/PMS/TC system exhibited a broad pH applicability range. To assess potential interferences in actual wastewater, the effects of representative inorganic anions and organic matter on TC removal were systematically investigated. The Si/C@PDA/PMS system achieved the removal efficiency of over 97% for TC with the addition of 10 mmol/L anions (Fig. 3b). With the increase in HA concentration from 10 mg/L to 30 mg/L, the Si/C@PDA/PMS system maintained the TC removal efficiency of over 94% (Fig. S6 in Supporting information). The degradation performance of the Si/C@PDA/PMS system in real water matrices was further evaluated (Fig. 3c and Fig. S7, Table S5 in Supporting information). Four types of real water samples were used in the experiments. Fig. 3c showed that the Si/C@PDA/PMS system achieved 100% TC removal in all tested real water matrices, demonstrating excellent practical applicability. To evaluate the catalytic activity of Si/C@PDA toward various organic pollutants, different pollutants found in natural water were selected (Fig. 3d). The Si/C@PDA/PMS system achieved 100% removal efficiency for paracetamol (PCM), 2,4-dichlorophenol (2,4-DCP), TC, and bisphenol A (BPA), with kobs of 0.779, 0.564, 0.228, and 0.176 min–1, respectively. Overall, the synthesized catalyst exhibited excellent degradation efficiency for various pollutants in complex water matrices.

    Figure 3

    Figure 3.  Effects of (a) different pH values, (b) coexisting anions in water, and (c) actual water on TC removal. (d) Removal of various pollutants, and (e) PMS residual concentration in the Si/C@PDA/PMS system. Ba river water (BR, from the Ba river in Xi’an), Xiuyuan lake water (XL, from Xi’an), groundwater (SWW, from Weinan), and secondary effluent (SE, from a municipal wastewater treatment plant in Xi’an). Reaction conditions: [catalyst] = 0.1 g/L, [pH]0 7, [PMS]0 = 0.5 mmol/L, [organics] = 10 mg/L, [anions] = 10 mmol/L, T = 25 ℃. The error bars represent the standard deviation (n = 3).

    Furthermore, the residual PMS concentration in the Si/C@PDA/PMS system was quantified via the 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS) method [23]. The remaining PMS concentration exhibited a degradation trend consistent with pollutant removal. Only 0.01 mmol/L PMS remained after 60 min, confirming that 98% of the PMS was effectively activated for organic pollutant degradation (Fig. 3e).

    The typical quenching tests and EPR measurements were carried out to directly verify ROS across various systems. EPR spectroscopy with 2,2,6,6-tetramethylpiperidine (TEMP) and 5,5-dimethyl-1-pyrroline N-oxide (DMPO) as spin-trapping agents was employed to identify and confirm the generation of ROS. DMPO was utilized to trap OH and SO4, and TEMP was employed to capture 1O2 [24]. As shown in Fig. 4a, the typical four-fold peaks with an intensity ratio of 1:2:2:1 were attributed to the DMPO-OH adduct in Si/C@PDA/PMS system. The characteristic sextet peaks of SO4 were also observed in the Si/C@PDA/PMS system. Meanwhile, a strong signal of 1O2 was detected, confirming the generation of 1O2 in the Si/C@PDA/PMS system. Tert–butyl alcohol (TBA), methanol (MeOH), furfuryl alcohol (FFA) and TEMP were used as scavengers for OH, OH/SO4, OH/1O2, and 1O2, respectively [10,24,25]. The addition of MeOH and TBA had minimal impact on TC degradation, indicating that OH and SO4 played a relatively minor role in degradation process. In contrast, the specific 1O2 quencher of FFA and TEMP exhibited a significant inhibitory effect on TC degradation, and this inhibition became more pronounced with increasing concentrations of the quencher. The results emphasized the critical role of 1O2 in the degradation of pollutants (Figs. 4b and e). To further confirm the role of 1O2 in the degradation process, deuterium oxide (D2O) was used to replace pure water in the reaction system. The lifetime of 1O2 in D2O (~67.0 µs) is significantly longer than in pure water (~3.5 µs), which could theoretically enhance the degradation rate of pollutants [24,26]. This substitution promoted the kobs of TC from 0.2314 min–1 to 0.3378 min–1, reaffirming the role of 1O2 in TC degradation (Fig. 4c).

    Figure 4

    Figure 4.  (a) EPR spectra of the Si/C@PDA/PMS system. (b) Effects of various radical inhibitors on TC degradation. (c) Comparison of degradation efficiency of TC in H2O and D2O. (d) EPR spectra of DMPO. (e) Inhibitory effects of various scavengers on TC degradation. (f) Conversion rate of 1O2. Reaction conditions: [catalyst] = 0.1 g/L, [pH]0 7, [PMS]0 = 0.5 mmol/L, [organics] = 10 mg/L, T = 25 ℃. The error bars represent the standard deviation (n = 3).

    Determining the source of oxygen for 1O2 production is the first critical step in elucidating the mechanism of 1O2 production. Two possible sources of oxygen in the Si/C@PDA/PMS system were explored, including dissolved oxygen and PMS [26]. The introduction of nitrogen or oxygen gas did not affect TC degradation, indicating that 1O2 was not generated from dissolved oxygen (Fig. S8a in Supporting information) [27]. Typically, the generation of 1O2 from PMS can be summarized into three pathways: (ⅰ) The surface carbonyl/ketone groups act as catalytic sites to activate PMS via nucleophilic addition to generate 1O2 [28,29], (ⅱ) the superoxide radical (O2•–) mediated generation of 1O2 through recombination or proton-promoted disproportionation [30], and (ⅲ) the self-reaction of peroxymonosulfate anion radical (SO5•–) generated 1O2 (PMS → SO51O2) [31]. To elucidate the mechanism of 1O2 production, we investigated the possible PMS reaction pathways through refined experiments. First, no detectable changes in carbonyl or ketone (C=O) functional groups on the Si/C@PDA catalyst surface were observed before and after the reaction via Fourier transform infrared spectroscopy (FT-IR) analysis (Fig. S8b in Supporting information), thereby excluding the effect of surface carbonyl/ketone groups [26]. Second, the role of 1O2 in TC removal was further confirmed by employing CO32– and NaNO2 as scavengers for O2 and SO5, respectively (Fig. 4e). The addition of CO32– in the Si/C@PDA/PMS system inhibited the TC degradation, indicating that 1O2 generation via the dismutation of O2 occurred in the system. Meanwhile, EPR analysis confirmed the substantial generation of O2 in the Si/C@PDA/PMS system (Fig. 4d). Upon the addition of NaNO2, the TC removal efficiency of the Si/C@PDA/PMS system decreased to approximately 61%, confirming that 1O2 generation was also attributed to the self-decomposition of SO5 facilitated by the catalyst (Fig. 4e).

    To further quantify the generation of 1O2, the fluorescent probe method was employed. 1,3-Diphenylisobenzofuran (DPBF), a well-established fluorescent probe for 1O2, specifically reacted with 1O2 to form an endoperoxide, which subsequently decomposed into 1,2-dibenzoylbenzene [23]. Since the molar ratio of DPBF degradation to 1O2 consumption was 1:1, the 1O2 concentration in the Si/C@PDA/PMS system was quantified based on the consumption of DPBF [23]. As shown in Fig. 4f, the Si/C@PDA/PMS system achieved 99.69% DPBF conversion (0.897 mmol/L 1O2), while the PMS-alone system showed only 0.58% conversion (0.005 mmol/L 1O2). Additionally, the addition of CO32– and NaNO2 as quenching agents in the Si/C@PDA/PMS/DBPF system further validated the 1O2 generation pathway. Upon introducing these quenchers, the DPBF conversion rate decreased to 11.87% and 5.56%, with the corresponding 1O2 concentrations reduced to 0.107 and 0.050 mmol/L, respectively. This indicated that O2 and SO5 served as intermediates in the decomposition of PMS for 1O2 generation. These findings confirmed that 1O2 in the Si/C@PDA/PMS system was generated through PMS decomposition via two distinct pathways: the dismutation of O2 (PMS → O21O2) and the self-decomposition of SO5 (SO5 → S2O8 + 1O2, or SO5 → SO4 + 1O2).

    Quenching experiments did not completely suppress TC removal, suggesting additional degradation pathways. Therefore, possible ETP in the Si/C@PDA/PMS system was investigated using pre-mixing experiments (Fig. S8c in Supporting information). The premixture of PMS and Si/C@PDA would exert negligible effects on TC removal, if the oxidation mechanism were primarily governed by ETP. Meanwhile, if both ETP and ROS were generated from Si/C@PDA/PMS system, extended premixture would reduce TC removal [32]. The TC removal efficiency decreased from 100% to 61.8% after 60 min of pre-mixing. The incomplete suppression of TC degradation suggested that in addition to 1O2-mediated catalytic degradation, ETP also coexisted in the Si/C@PDA/PMS system.

    Based on in-situ Raman analysis, the emergence of the characteristic peak at 832 cm–1 in the Si/C@PDA/PMS system confirmed the successful generation of PMS* [4,33], while the attenuation of this peak during TC degradation demonstrated the consumption of PMS* as the reactive species (Fig. S9 in Supporting information). Considering that electron transfer could occur from TC to Si/C@PDA/PMS* through an electron channel [10,34], the salt bridge experiment was conducted to further evaluate the ETP between TC and Si/C@PDA/PMS*. As illustrated in Fig. 5a, the Si/C@PDA achieved the highest peak current of 51.2 µA, followed sequentially by Si/C@PDA pre (35.9 µA), C@PDA (17.72 µA), blank (control, 14.9 µA), and VMT (8.1 µA). The salt bridge experiments demonstrated that the doped Si–O within Si/C@PDA facilitated ETP by enabling electron transfer from the TC to Si/C@PDA/PMS*. To further explore the ETP mechanism in the Si/C@PDA/PMS system, amperometric i-t curves were obtained under different PMS and TC addition sequences (Fig. 5b). At the initial stage, no electron transfer occurred between TC and Si/C@PDA. However, the addition of PMS significantly reduced the current density, confirming the occurrence of electron transfer between TC and Si/C@PDA/PMS* [35]. The ETP in the Si/C@PDA/PMS system was investigated through open-circuit potential (OCP) measurements. If a metastable complex does exist, then it would enhance the oxidation potential of Si/C@PDA [36]. As shown in Fig. 5c, the OCP change of Si/C@PDA was 0.31 eV (from 0.35 to 0.66 eV), while the changes for C@PDA, VMT, and the control were only 0.02, 0.13, and 0.23 eV, respectively. The results of the OCP analysis indicated that the formation of the metastable Si/C@PDA/PMS* accelerated the potential rise of Si/C@PDA [10,27,37]. Meanwhile, various pollutants were introduced into the electrochemical Si/C@PDA/PMS system, revealing two distinct potential decline patterns (Fig. 5d). Electron-deficient pollutants exhibited negligible decreases in potential, such as benzoic acid (BA, 0.0005 eV) and ibuprofen (IBU, 0.0030 eV). In contrast, electron-rich pollutants, including BPA (0.0492 eV) and phenol (PE, 0.0103 eV), showed more pronounced potential reductions. Notably, TC demonstrated the highest potential drop (0.1045 eV) in the electrochemical Si/C@PDA/PMS system. The decline in OCP upon pollutant addition was ascribed to redox interactions between pollutants and Si/C@PDA/PMS*, resulting in the decomposition of surface complex [38]. Additionally, a linear relationship was observed between the kobs of different pollutants removal and their corresponding potential (Fig. 5e, R2 = 0.631). This correlation suggests that pollutants with lower half-wave potential tended to degrade faster in the Si/C@PDA/PMS system, a phenomenon consistent with reported ETP systems [39]. This result suggested that an ETP-based degradation pathway was also present in the Si/C@PDA/PMS system. To elucidate the dominant reactive species in the Si/C@PDA/PMS system, competitive kinetic experiments were performed using probe compounds (nitrobenzene, benzoic acid, and FFA) [27]. Results revealed that 1O2 and ETP contributed 26.2% and 68.3%, respectively, while other ROS accounted for merely 5.5% (Fig. S10 in Supporting information). These results demonstrate that TC degradation predominantly occurs through non-radical pathways in Si/C@PDA/PMS system.

    Figure 5

    Figure 5.  (a) Relative current of salt bridge experiments. (b) Amperometric i-t curve measurements with sequential addition of PMS and TC. OCP of (c) catalyst electrode by adding PMS, and (d) Si/C@PDA electrode by adding PMS and pollutants. (e) Relationship between kobs and potential decline. (f) TC removal of catalytic membrane reactor (TC = 500 µg/L, PMS = 0.1 mmol/L, Catalyst = 20 mg/L, Volume = 5 L). The error bars represent the standard deviation (n = 3).

    The Si/C@PDA catalyst maintained a stable degradation efficiency of approximately 75% after five cycles. Although the decline in activity could be attributed to active site blockage, its performance was effectively restored to over 95% TC removal following a simple thermal regeneration process, highlighting the practical regenerability of the material (Fig. S11 in Supporting information) [11,13]. The Si/C@PDA membrane was constructed with polyethersulfone (PES) commercial membranes to investigate its potential for continuous water treatment (Fig. S12 in Supporting information). The contact angle measurement of the Si/C@PDA/PES membrane indicated that the catalytic membrane was hydrophilic (65.55°, Fig. S13 in Supporting information). The experimental procedure for continuous water treatment is illustrated in Fig. 5f and Fig. S14 (Supporting information). This facilitated mass transfer between pollutants and the catalytic membrane, which could contribute to pollutants degradation. Fig. 5f showed a comparison of the performance of the pure commercial PES membrane and Si/C@PDA/PES membrane to degrade TC. The Si/C@PDA/PES membrane system achieved continuous 100% degradation of TC in 5 L solution with only 100 mg of Si/C@PDA under a low oxidant dosage (0.1 mmol/L PMS). In comparison, the Si/C@PDA system achieved only about 25% removal of TC. The removal efficiency of pollutants by the catalytic membrane was further evaluated in various real water matrices. The results demonstrated that the Si/C@PDA/PMS system consistently maintained approximately 90% TC removal rate (Fig. S15 in Supporting information). The membrane flux of the Si/C@PDA/PES membrane was 141.94 L h–1 m–2 (Fig. S16 in Supporting information). In summary, the results of continuous flow indicated that the Si/C@PDA/PES membrane showed considerable potential for practical use in wastewater treatment.

    DFT analysis was conducted to validate the mechanistic role of Si–O in generating 1O2 and ETP during PMS activation. The optimized structures are shown in Fig. S17 (Supporting information). The computational results indicated that the adsorption energies of PMS on C@PDA, N/C@PDA, and Si/C@PDA were –0.30, –0.55, and –0.69 eV, respectively (Fig. 6a). The strong adsorption induced by Si–O doping ensures intimate contact between PMS and active sites, creating favorable conditions for electron transfer and bond cleavage [10,16,17]. Additionally, the DFT results demonstrated that Si–O doping regulated the electronic configuration at the catalyst surface, breaking the uniformity of surface electron density and thereby promoting PMS adsorption and activation (Figs. 6b-e) [24,40].

    Figure 6

    Figure 6.  (a) Adsorption energy of PMS on different structural models. (b) C@PDA, (c) N/C@PDA, (d, e) Si/C@PDA for electrostatic potential distributions. (f) C@PDA, (g) N/C@PDA, (h, i) Si/C@PDA for electric density difference. (j) The gap of LUMO(catalysts)-HOMO(TC). (k) The LUMO(Si/C@PDA/PMS)-HOMO(pollutants). (l) Different energy gaps between LUMO(catalysts) and HOMO(pollutants). (m) Free energy diagram and (n) schematic representation for PMS activation.

    As presented in Table S6 (Supporting information), the bond length of S–O3 was longer than other bonds in the adsorbed PMS molecule. Additionally, the O–H bond length in the PMS molecule within the Si/C@PDA/PMS system (0.984 Å) was greater than that in free PMS (0.962 Å). This elongation weakens the O–H bond, thereby facilitating its cleavage and the subsequent formation of SO5, which confirms the PMS-derived 1O2 generation pathway [24,41]. Additionally, Si–O doping collectively impacted the dynamics of charge transfer at the interface. As is illustrated in Figs. 6f-i, the electric density difference results confirmed efficient electron transfer mediated by Si–O bridges between Si/C@PDA and PMS. The charge transfer characteristics of the relevant adsorption structures were further evaluated. Si/C@PDA (0.2835 e) demonstrated superior electron transfer compared to both N/C@PDA (0.2354 e) and C@PDA (0.1619 e). This enhancement was attributed to the Si–O doping, which facilitated faster electron mobility. The resulting efficient electron shuttling from the catalyst to the adsorbed PMS molecule is crucial for promoting the cleavage of the O–O bond, thereby enabling more efficient PMS activation [27].

    Furthermore, the ETP oxidation in the catalyst/PMS system was analyzed based on molecular orbital analysis. The prerequisite for ETP oxidation in the catalyst/PMS system was initiated by electron transfer from the highest occupied molecular orbital (HOMO) of the pollutant to the lowest unoccupied molecular orbital (LUMO) of catalyst/PMS [10,42]. The gap between LUMO(Si/C@PDA/PMS) and HOMO(TC) was smaller than that between LUMO(C@PDA/PMS) and HOMO(TC) (Fig. 6j). Additionally, the ETP oxidation of different pollutants in the catalyst/PMS system was also calculated. As shown in Fig. 6k, varying energy gaps were observed between the LUMO(Si/C@PDA/PMS) and the HOMO(pollutants). The smaller gap between the LUMO(Si/C@PDA/PMS) and the HOMO(pollutants) indicated easier electron transfer from pollutants to Si/C@PDA/PMS by the Si–O bridge, thereby accelerating the ETP oxidation process (Fig. S18 in Supporting information). Moreover, the energy differences between the LUMO(catalysts) and the HOMO(pollutants) were compared. Notably, the Si/C@PDA/PMS system exhibited significantly smaller energy gaps with various pollutants compared to C@PDA/PMS and N/C@PDA/PMS system, further substantiating the promotion effects of Si–O doped in ETP oxidation (Fig. 6l and Table S7 in Supporting information).

    As observed in Fig. 6m, the changes in reaction free energy for the Si/C@PDA/PMS system and C@PDA/PMS system were further calculated. Initially, PMS molecules were adsorbed onto the Si–O sites. Subsequently, the adsorbed PMS was activated, leading to the stretching and breaking of the O–H and Si–O bonds. Notably, the change of Si/C@PDA/PMS system in Gibbs free energy (ΔG) was negative, indicating that the reaction was spontaneous [24]. The released total energy during the reaction in the Si/C@PDA/PMS system was 0.79 eV, higher than that in the C@PDA/PMS system (0.01 eV), indicating that the Si/C@PDA/PMS system was both thermodynamically and kinetically advantageous for highly efficient pollutant degradation.

    In summary, two distinct degradation mechanisms of TC in the Si/C@PDA/PMS system were verified (Fig. 6n). (ⅰ) PMS self-decomposed to produce 1O2 through the self-decomposition of SO5 and the disproportionation of O2; (ⅱ) PMS was adsorbed on Si/C@PDA to form Si/C@PDA/PMS*, which mediated electron transfer via the ETP pathway to drive TC oxidation.

    The condensed Fukui index highlighted the reactive sites where active species in the Si/C@PDA/PMS system attacked TC. The spatial distributions of HOMO and LUMO of TC identified the regions prone to electron detachment and acceptance, with blue areas representing electron-rich regions and yellow areas representing electron-poor regions [43]. Fig. S19 (Supporting information) showed that f, f+, and f0 corresponded to the Fukui indices for susceptibility to electrophilic reagents, nucleophilic reagents, and radical, respectively. The high Fukui indices of O22 (f = 0.161), O23 (f = 0.151), O24 (f = 0.058), N21 (f = 0.042) suggested their vulnerability to electrophilic reagents like 1O2 [22,43]. Besides, C10 (f+ = 0.096), O22 (f+ = 0.086), C11 (f+ = 0.08), O26 (f+ = 0.074), O25 (f+ = 0.07) were prone to attack by nucleophilic reagents [22,43]. In addition, the high f0 values of C10 and O23 were vulnerable to SO4, O2, OH attack.

    Ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) analysis identified intermediate products in the Si/C@PDA/PMS/TC system, revealing 13 degradation intermediates (Fig. S20 and Table S8 in Supporting information). Based on the literature and DFT calculations, three possible degradation pathways for TC were proposed (Fig. 7a). In pathway Ⅰ, TC was initially oxidized by 1O2, forming the ketone compound P1 (m/z 477). Subsequent oxidation by 1O2 led to the formation of P2 (m/z 361), accompanied by the loss of amide, methyl, and hydroxyl groups. Further oxidation and decomposition resulted in the formation of P3 (m/z 274) [44,45]. In pathway Ⅱ, SO4 initially attacked the phenolic group of TC, leading to the formation of P4 (m/z 432), which was subsequently oxidized and decomposed to P5 (m/z 340). As degradation continued, ROS induced further oxidation and decomposition, leading to the formation of P6 (m/z 238) [44,46]. In pathway Ⅲ, TC underwent hydroxylation to yield P7 (m/z 453), followed by demethylation of active species to form P8 (m/z 417). This reaction was likely facilitated by the high electrophilic Fukui indices of O22 (f = 0.161) and O23 (f = 0.151) [47]. Additionally, two isomers (P9 and P10) with m/z 340 were generated via dehydration condensation of hydroxyl groups at different positions [43]. These polycyclic intermediates were then oxidized into monocyclic or linear compounds (P11-P14), ultimately undergoing complete mineralization to produce CO2 and H2O.

    Figure 7

    Figure 7.  (a) Proposed degradation pathways of TC. (b, c) Predicted toxicity of TC and its by-products in Si/C@PDA via TEST and ECOSAR. (d) Biological toxicity test of mung bean sprouts via ultrapure water, TC solution (10 mg/L) and degraded solution of TC.

    Acute and chronic toxicity assessments of TC and its degradation products were performed using Toxicity Estimation Software Tool (TEST) and Ecological Structure Activity Relationships (ECOSAR) (Text S12 in Supporting information) [22,48]. The level of toxicity was evaluated by the rules of the Globally Harmonized System of Classification and Labelling of Chemicals (GHS). Heat maps from TEST and ECOSAR indicated that the acute and chronic toxicity of most degradation intermediates were lower than that of the original TC (Figs. 7b and c). However, some intermediates showed higher acute or chronic toxicity than TC toward certain species. For instance, intermediate P8 exhibited increased acute toxicity to fathead minnow (FM), while P10 demonstrated elevated chronic toxicity to fish, daphnid, and green algae. The mung bean sprout experiment (Fig. 7d) revealed that the TC solution significantly inhibited sprout development, with root length limited to only 2.65–2.80 cm during days 3–6, far shorter than the 8.92–9.84 cm observed in the degraded solution group. The degraded TC solution exhibited reduced toxicity, achieving shoot growth of 12.27 cm by day 6, comparable to the 12.56 cm in the pure water control (Figs. S21 and S22, Table S9 in Supporting information). Additionally, the germination rate in the degraded solution reached 98%, compared to 93% in the TC group, suggesting a relatively low toxicity of the TC solution after degradation [49]. The toxicity assessment showed that Si/C@PDA effectively activated PMS for the removal of TC, while promoting a more environmentally friendly degradation process.

    In this work, a novel Si–O doped layered porous carbon-based catalyst was successfully synthesized using VMT as both a structural template and Si source. The catalyst exhibited exceptional PMS activation performance, achieving complete TC degradation (kobs-TC = 0.228 min–1) primarily through efficient nonradical pathways: 1O2 and electron transfer. Both experimental results and DFT calculations confirmed that Si–O doping significantly modulated the surface electronic environment, facilitating strong electron interactions between Si/C@PDA and PMS. Furthermore, Si–O bonds played a crucial role in promoting O–H bond cleavage in PMS, leading to the formation of reactive intermediates (SO5, O2) and subsequent 1O2 production. Practical evaluation using a Si/C@PDA catalytic membrane further demonstrated its applicability, achieving nearly 100% TC degradation under a low PMS dosage (0.1 mmol/L). Compared to traditional carbon-based catalysts, the Si–O doping strategy employed here not only enhances PMS adsorption and electron transfer efficiency but also facilitates the selective cleavage of the O–H bond in PMS. These findings provide new insights into the role of Si–O doping in PMS activation and highlight the potential of carbon-based catalysts for efficient nonradical degradation of refractory organic pollutants in complex water environments.

    Cheng Han: Writing – original draft, Methodology, Formal analysis. Lanlan Liang: Writing – review & editing, Funding acquisition. Jiao Yang: Writing – review & editing, Methodology. Yin Wei: Writing – review & editing. Zhe Zhang: Writing – review & editing. Haonan Chen: Writing – review & editing, Investigation. Wei Yu: Methodology. Chuanliang Zhao: Writing – review & editing, Methodology, Funding acquisition. Liwei Yang: Writing – review & editing, Project administration, Funding acquisition. Bo Lai: Writing – review & editing, Supervision.

    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.

    Financial support for this research was provided by the Natural Science Basic Research Program of Shaanxi Province (Nos. 2024JC-YBMS-126 and 2024JC-YBMS-375) and the China Postdoctoral Science Foundation (No. GZC20250844).

    Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.cclet.2026.112410.


    1. [1]

      P. Chen, J. Wang, Y. Xue, et al., Water Res. 265 (2024) 122297. doi: 10.1016/j.watres.2024.122297

    2. [2]

      Y. Wang, D. Li, X. Ge, et al., Adv. Mater. 36 (2024) 2402935. doi: 10.1002/adma.202402935

    3. [3]

      C. Zhang, L. Chen, H. Luo, et al., Appl. Catal. B: Environ. 362 (2025) 124695. doi: 10.1016/j.apcatb.2024.124695

    4. [4]

      J. Xu, Y. Yao, C. Zhu, et al., Appl. Catal. B: Environ. 341 (2024) 123356. doi: 10.1016/j.apcatb.2023.123356

    5. [5]

      H. Li, X. Zhang, S. Yang, et al., Environ. Sci. Technol. 58 (2024) 14005–14012. doi: 10.1021/acs.est.4c02809

    6. [6]

      N. Morin-Crini, E. Lichtfouse, M. Fourmentin, et al., Environ. Chem. Lett. 20 (2022) 1333–1375. doi: 10.1007/s10311-021-01379-5

    7. [7]

      Q. You, C. Zhang, M. Cao, et al., Appl. Catal. B: Environ. 338 (2023) 123025. doi: 10.1016/j.apcatb.2023.123025

    8. [8]

      N. Li, R. Li, X. Duan, et al., Environ. Sci. Technol. 55 (2021) 16163–16174. doi: 10.1021/acs.est.1c06244

    9. [9]

      L. Zhai, F. Li, Y. He, et al., Chem. Eng. J. 478 (2023) 147378. doi: 10.1016/j.cej.2023.147378

    10. [10]

      J. Mao, K. Yin, Y. Zhang, et al., Appl. Catal. B: Environ. 342 (2024) 123428. doi: 10.1016/j.apcatb.2023.123428

    11. [11]

      X. Qiu, Y. Zhao, C. Li, et al., Chem. Eng. J. 483 (2024) 149265. doi: 10.1016/j.cej.2024.149265

    12. [12]

      X. Guo, Q. Zhang, H. He, et al., Appl. Catal. B: Environ. 335 (2023) 122886. doi: 10.1016/j.apcatb.2023.122886

    13. [13]

      S. Wang, J. Wang, Chem. Eng. J. 456 (2023) 141086. doi: 10.1016/j.cej.2022.141086

    14. [14]

      K. Yin, J. Yang, Y. Li, et al., Chin. Chem. Lett. 35 (2024) 109847. doi: 10.1016/j.cclet.2024.109847

    15. [15]

      S. Xu, P. Wang, X. Mi, et al., J. Hazard. Mater. 466 (2024) 133321. doi: 10.1016/j.jhazmat.2023.133321

    16. [16]

      J. Wang, Y. Qin, L. Li, et al., Chem. Eng. J. 457 (2023) 141253. doi: 10.1016/j.cej.2022.141253

    17. [17]

      T. Zhao, C. Tian, H. Li, et al., Chem. Eng. J. 491 (2024) 151878. doi: 10.1016/j.cej.2024.151878

    18. [18]

      C. Wang, B.H. Zhao, B.Y. Zhang, et al., J. Clean. Prod. 467 (2024) 142692. doi: 10.1016/j.jclepro.2024.142692

    19. [19]

      M. Tian, Y. Liu, S. Zhang, et al., Nat. Commun. 15 (2024) 391. doi: 10.1038/s41467-024-44699-0

    20. [20]

      A.S. Konashuk, E.O. Filatova, Phys. Chem. Chem. Phys. 19 (2017) 26201–26209. doi: 10.1039/C7CP04914E

    21. [21]

      W. Kong, L. Huang, X. Quan, et al., Appl. Catal. B: Environ. 307 (2022) 121214. doi: 10.1016/j.apcatb.2022.121214

    22. [22]

      H. Chen, Y. Wei, C. Han, et al., Sep. Purif. Technol. 355 (2025) 129658. doi: 10.1016/j.seppur.2024.129658

    23. [23]

      J. Song, N. Hou, X. Liu, et al., Adv. Mater. 36 (2024) 202405832.

    24. [24]

      C.H. Gu, S. Wang, A.Y. Zhang, et al., Nat. Commun. 15 (2024) 5771. doi: 10.1038/s41467-024-50240-0

    25. [25]

      N. Chen, J. Xia, L. Li, et al., Surf. Interfaces 56 (2025) 105566. doi: 10.1016/j.surfin.2024.105566

    26. [26]

      J. Zhen, J. Sun, X. Xu, et al., Angew. Chem. Int. Ed. 63 (2024) e202402669. doi: 10.1002/anie.202402669

    27. [27]

      C. Zhong, J. Wang, Y. Liu, et al., Appl. Catal. B: Environ. 370 (2025) 125193. doi: 10.1016/j.apcatb.2025.125193

    28. [28]

      S. Liu, Z. Zhang, F. Huang, et al., Appl. Catal. B: Environ. 286 (2021) 119921. doi: 10.1016/j.apcatb.2021.119921

    29. [29]

      H. Wang, C. Qiao, C. Chen, et al., Chin. Chem. Lett. 36 (2025) 110244. doi: 10.1016/j.cclet.2024.110244

    30. [30]

      S. Jin, W. Shao, X. Luo, et al., Adv. Mater. 34 (2022) e2206516. doi: 10.1002/adma.202206516

    31. [31]

      L.S. Zhang, X.H. Jiang, Z.A. Zhong, et al., Angew. Chem. Int. Ed. 60 (2021) 21751–21755. doi: 10.1002/anie.202109488

    32. [32]

      R. Luo, M. Li, C. Wang, et al., Water Res. 148 (2019) 416–424. doi: 10.1016/j.watres.2018.10.087

    33. [33]

      X. Zhao, J. Tong, S. Bai, et al., Appl. Catal. B: Environ. 379 (2025) 125654.

    34. [34]

      M. Luo, H. Zhang, P. Zhou, et al., Water Res. 215 (2022) 118243. doi: 10.1016/j.watres.2022.118243

    35. [35]

      K. Yin, R. Wu, Y. Shang, et al., Appl. Catal. B: Environ. 329 (2023) 122558. doi: 10.1016/j.apcatb.2023.122558

    36. [36]

      Y. Wu, H. Wang, J. Du, et al., Environ. Sci. Technol. 57 (2023) 16662–16672. doi: 10.1021/acs.est.3c05798

    37. [37]

      S. Liu, J. Du, H. Wang, et al., Water Res. 254 (2024) 121417. doi: 10.1016/j.watres.2024.121417

    38. [38]

      K. Yin, Y. Shang, D. Chen, et al., Appl. Catal. B: Environ. 338 (2023) 123029. doi: 10.1016/j.apcatb.2023.123029

    39. [39]

      P. Zhang, M. Sun, C. Zhou, et al., Environ. Sci. Technol. 58 (2024) 4781–4791. doi: 10.1021/acs.est.3c06252

    40. [40]

      N.T. Dung, V.D. Thao, N.P. Thao, et al., Chem. Eng. J. 483 (2024) 149099. doi: 10.1016/j.cej.2024.149099

    41. [41]

      Z. Wu, Z. Xiong, B. Huang, et al., Nat. Commun. 15 (2024) 7775. doi: 10.1038/s41467-024-52074-2

    42. [42]

      C. Cheng, M. Xiong, L. Ding, et al., Appl. Catal. B: Environ. 344 (2024) 123616. doi: 10.1016/j.apcatb.2023.123616

    43. [43]

      Y. Liu, S. Liu, M. Chen, et al., J. Hazard. Mater. 461 (2024) 132417. doi: 10.1016/j.jhazmat.2023.132417

    44. [44]

      X. Li, S. Wang, B. Xu, et al., Chem. Eng. J. 441 (2022) 136074. doi: 10.1016/j.cej.2022.136074

    45. [45]

      H. Huang, T. Guo, K. Wang, et al., Sci. Total. Environ. 758 (2021) 143957. doi: 10.1016/j.scitotenv.2020.143957

    46. [46]

      X. Zhang, F. Wang, C. Wang, et al., Chem. Eng. J. 426 (2021) 131927. doi: 10.1016/j.cej.2021.131927

    47. [47]

      G. Kumar, R.K. Dutta, Process Saf. Environ. Protect. 159 (2022) 862–873. doi: 10.1016/j.psep.2022.01.063

    48. [48]

      T. Liu, N. Li, S. Xiao, et al., Water Res. 265 (2024) 122270. doi: 10.1016/j.watres.2024.122270

    49. [49]

      M. Kang, X. Bai, Y. Liu, et al., Environ. Sci. Technol. 58 (2024) 9875–9886. doi: 10.1021/acs.est.4c01731

  • Figure 1  (a) SEM and (b) energy dispersive X-ray spectroscopy (EDS) element mapping images of VMT. (c) SEM, (d) TEM and EDS element mapping images of Si/C@PDA.

    Figure 2  (a) XPS Si 2p, (b) XPS C 1s, (c) XPS N 1s, and (d) XRD patterns of VMT and Si/C@PDA. (e) Raman spectra and (f) N2 adsorption-desorption isotherms.

    Figure 3  Effects of (a) different pH values, (b) coexisting anions in water, and (c) actual water on TC removal. (d) Removal of various pollutants, and (e) PMS residual concentration in the Si/C@PDA/PMS system. Ba river water (BR, from the Ba river in Xi’an), Xiuyuan lake water (XL, from Xi’an), groundwater (SWW, from Weinan), and secondary effluent (SE, from a municipal wastewater treatment plant in Xi’an). Reaction conditions: [catalyst] = 0.1 g/L, [pH]0 7, [PMS]0 = 0.5 mmol/L, [organics] = 10 mg/L, [anions] = 10 mmol/L, T = 25 ℃. The error bars represent the standard deviation (n = 3).

    Figure 4  (a) EPR spectra of the Si/C@PDA/PMS system. (b) Effects of various radical inhibitors on TC degradation. (c) Comparison of degradation efficiency of TC in H2O and D2O. (d) EPR spectra of DMPO. (e) Inhibitory effects of various scavengers on TC degradation. (f) Conversion rate of 1O2. Reaction conditions: [catalyst] = 0.1 g/L, [pH]0 7, [PMS]0 = 0.5 mmol/L, [organics] = 10 mg/L, T = 25 ℃. The error bars represent the standard deviation (n = 3).

    Figure 5  (a) Relative current of salt bridge experiments. (b) Amperometric i-t curve measurements with sequential addition of PMS and TC. OCP of (c) catalyst electrode by adding PMS, and (d) Si/C@PDA electrode by adding PMS and pollutants. (e) Relationship between kobs and potential decline. (f) TC removal of catalytic membrane reactor (TC = 500 µg/L, PMS = 0.1 mmol/L, Catalyst = 20 mg/L, Volume = 5 L). The error bars represent the standard deviation (n = 3).

    Figure 6  (a) Adsorption energy of PMS on different structural models. (b) C@PDA, (c) N/C@PDA, (d, e) Si/C@PDA for electrostatic potential distributions. (f) C@PDA, (g) N/C@PDA, (h, i) Si/C@PDA for electric density difference. (j) The gap of LUMO(catalysts)-HOMO(TC). (k) The LUMO(Si/C@PDA/PMS)-HOMO(pollutants). (l) Different energy gaps between LUMO(catalysts) and HOMO(pollutants). (m) Free energy diagram and (n) schematic representation for PMS activation.

    Figure 7  (a) Proposed degradation pathways of TC. (b, c) Predicted toxicity of TC and its by-products in Si/C@PDA via TEST and ECOSAR. (d) Biological toxicity test of mung bean sprouts via ultrapure water, TC solution (10 mg/L) and degraded solution of TC.

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  • 发布日期:  2026-09-15
  • 收稿日期:  2025-08-20
  • 接受日期:  2026-01-12
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