Carbon bridge effects regulate TiO2–acrylate fluoroboron coatings for efficient marine antifouling

Jiatong Li Linlin Zhang Peng Huang Chengjun Ge

Citation:  Jiatong Li, Linlin Zhang, Peng Huang, Chengjun Ge. Carbon bridge effects regulate TiO2–acrylate fluoroboron coatings for efficient marine antifouling[J]. Chinese Chemical Letters, 2025, 36(2): 109970. doi: 10.1016/j.cclet.2024.109970 shu

Carbon bridge effects regulate TiO2–acrylate fluoroboron coatings for efficient marine antifouling

English

  • Marine biofouling often occurring on ship hulls or subsea equipment, which significantly increase fossil energy consumption and threatened ecological environmental safety [1-3]. Antifouling coatings are considered one of the most effective and feasible methods to address biofouling issues [4]. Traditional antifouling coatings consist of a large amount of toxic active chemicals, such as organotin [5,6], DDT [7], silver [8], cuprous oxide [9]. These coatings are gradually prohibited by governments around the world due to the high cost and indiscriminately toxic to marine organisms [4,10,11]. Although non-toxic antifouling coatings have been developed, such as siloxane-based coatings [12], bioinspired coatings [13], zwitterionic compounds [14], and fluorinated polymers [15]. In particular, fluorinated polymers coatings stand out in current research due to their good light transmittance, high stability (radiation, heat and pH tolerance), easy synthesis, economy and non-toxic properties [16,17]. However, the highly hydrophobic surface, low viscosity and insufficient long-term effectiveness of fluorinated polymers coatings make it difficult to achieve the expected performance in practical commercial applications [3,18,19]. Literatures indicate that introducing organic boron is also effective in improving the hydrophobicity of fluoropolymers benefit by the special functional groups and properties of boron source [20,21]. Particularly, acrylate fluoroboron polymer (ABFP) has received widespread attention due to its unique fluoroboron side chains and non-toxic. Li et al. prepared self-healing antifouling coatings (acrylate boron fluorinated polymer films) through ultrasonic mixing of perfluoropolyether (PFPE) lubricant with ABFP [22]. However, these coatings are usually designed based on a component with one property (antifouling chemicals, surface morphology, hydrophobicity, surface energy, etc.) and are unlikely to maintain both eco-friendly and high efficiently in harsh marine environments [23,24].

    Photocatalysis is an important representative of utilizing natural energy, opening another direction for the design of efficient and non-toxic antifouling coatings [25,26]. Titanium dioxide (TiO2) is undoubtedly the most representative and widely applied photocatalyst due to the chemical stable, high catalytic activity, low price, non-toxic and eco-friendly [27,28]. TiO2 has become an indispensable research object in hydrogen reduction [29], carbon dioxide reduction [30], water decomposition [31], and solar cells [32], while the research on marine antifouling coating and pollutants removal is still unsatisfactory. On the one hand, the single TiO2 has a short absorption range of sunlight (<387 nm), and a large amount of visible light energy cannot be effectively utilized [33,34]. On the other hand, the rapid recombination of electron-hole pairs restrict the photocatalytic efficiency and reduces the available distance of active species (~10−9 s survival time for OH) for the single TiO2 [30]. In addition, the destruction of non-targeted organism and secondary pollution are highly likely to occurred because of the active radicals generated by TiO2-light system usually attack organisms and pollutants without selectivity [33]. Consequently, improving the visible light utilization efficiency and expanding the application in antifouling of TiO2 remains an important challenge. Both graphene and carbon nanotubes (CNT) have excellent charge transport performance, stable mechanical properties, rich oxygen-containing functional groups, and diverse surface chemical properties, and become a powerful helper for TiO2 in photocatalysis [35,36]. Literatures point out that graphene or CNT can significantly improve the adsorption efficiency, separation efficiency of photo generated carriers, and photocatalytic efficiency of carbon-TiO2 composite materials in the photocatalytic process [36-38]. Additional CNT or graphene can significantly improve the mechanical strength and stability of organic coatings [39]. The regulatory effect and the application of carbon-modified TiO2 to enhance the antifouling performance of coatings is worth expecting. Unfortunately, related research is still insufficient, particularly in the appropriate ratio of antifouling coatings to catalysts and the photocatalytic mechanism mediated by coatings.

    Tremendous progress can be expected in the marine antifouling if a versatile, long-term effectiveness and eco-friendly coating is designed or fabricated with TiO2 and ABFP. Herein, we synthesized series of antifouling coatings with ABFP and carbon-modified TiO2 photocatalyst, as well as optimized preparation parameters. Through detailed characterization, the carbon bridge structure and formation mechanism between carbon-modified TiO2 and ABFP were revealed. Moreover, Escherichia coli (Gram-negative, E. coli), Staphylococcus aureus (Gram-positive, S. aureus), Nitzschia closterium f.minutissima. (NC) and Amphora sp. (HA) were selected as typically marine bacteria and algae, respectively, to evaluated the antifouling performance of composite coatings in artificial seawater. Finally, the synergistic antifouling mechanism was proposed that the graphene or CNT acted as electronic bridge efficient mediated the antifouling process of photocatalytic, smooth surface and slow hydrolysis.

    Four typically TiO2 based photocatalyst, including flower-like TiO2 (FT), graphene modified flower-like TiO2 (FTG), oxygen enriched TiO2 (BT) and CNT modified oxygen enriched TiO2 (BTC) and corresponding ABFP antifouling coatings were synthesis as steps of Fig. 1a. Detailed preparation steps and chemical reagents were shown in Texts S1-S4 (Supporting information). And the characterization methods and batch experiments for antibacterial or anti-diatom adhesion performance and mechanism exploration were present in Texts S5-S7 (Supporting information).

    Figure 1

    Figure 1.  (a) Schematic diagram of the synthesis of FT, BT, FTG and BTC and corresponding antifouling coating. (b, f) SEM, (c, g) TEM, (d, h) EDS and (e, i) HRTEM image of FTG and BTC, respectively. AFM images and corresponding Ra and Rq values of (j) FTP, (k) FTGP, (l) BTP and (m) BTCP. FT and BT were the TiO2 samples without added carbon material; FTG and BTC were the samples with 3 wt% addition of graphene and CNT in FT and BT; FTP, FTGP, BTP and BTCP were obtained with 5 wt% corresponding photocatalyst in ABFP coating, respectively. similarly hereinafter.

    Scanning electron microscopy (SEM) images in Figs. 1b and f revealed that FTG and BTC maintain a relatively complete flower-like particle structure. The dispersibility of FTG and BTC were significantly higher than that of FT and BT, which could be attributed to the barrier effect between graphene or CNT and TiO2 particles (Fig. S2 in Supporting information). Moreover, FTG had a larger particle diameter (4.3 µm) and abundant flocculent petals (Fig. 1b) than BTC (2.2 µm), which was attributed to the layered structure of graphene and annealing treatment further keep and expand the petal structure. Transmission electron microscope (TEM) results suggested that scattered graphene layers adhering to the petals of TiO2 particles (Fig. 1c), and the distribution of Ti, C and O elements in the energy dispersive spectrometer (EDS) images showed good consistency (Fig. 1d), indicating that graphene entered the interior of particles. Interestingly, a relatively compact spherical particle was observed in BTC, which may be attributed to the 3 wt% CNT addition and linear CNT wrapped around the petal of TiO2 (Figs. 1f and g). The uniform C elements distribution in BTC also confirmed this binding of CNT and TiO2 (Fig. 1h). FT and BT also had obvious flower-like particle structure, but TiO2 particle in BT exhibits more irregular shape, thin and slender petal structures on particle surface, which might be related to the reduction of NaBH4 (Fig. S3 in Supporting information). High resolution TEM (HRTEM) revealed that amorphous structure was the main form on the interface between graphene or CNT and TiO2, indicating that graphene or CNT undergoes chemical fusion (bonding) with TiO2 rather than simple adsorption (Figs. 1e and i). Therefore, we inferred that the graphene or CNT on the surface of FTG or BTC may provide favorable condition for binding to ABFP.

    Additionally, atomic force microscopy (AFM) was used to observe the surface morphology and the effect of TiO2 on the surface roughness of the antifouling coatings. The results of 2D plane (Fig. S4 in Supporting information) and 3D stereogram (Figs. 1jm) showed that FTP and BTP had more obvious gullies, and the highest (lowest) points on the surface was greater (less) than that of FTGP and BTCP. The Ra or Rq values of four antifouling coatings had the similar orders, as follow: BTCP < FTGP < FTP < BTP. This indicated that the addition of graphene or CNT was favored to integrate ABFP into TiO2 particles, which might be ascribed to the abundant petal initial structure and functional groups on graphene or CNT of FTG or BTC. Specially, BTCP had lowest Ra (0.267) and Rq (0.336) values, which represented a flatter and smoother surface than other coatings. Silva et al. had pointed out that the carbon material on the surface of TiO2 could improve the adsorption capacity [40]. Therefore, graphene (CNT) on FTG (BTC) surface may act as a carbon bridge through spatial position and functional groups attraction effect and enhance the bonding performance with ABFP.

    X-ray diffraction (XRD) results were present in Fig. 2a. Obviously, several high-intensity diffraction peaks at 25.1°, 38.1°, 47.9°, 54.2°, 55.0° and 62.7° were present at the XRD spectra of FTG, BT and BTC (Fig. 2a), which were classified to the (101), (004), (200), (105), (211) and (204) crystal plane structure of TiO2 according to the standard FDF #21-1272 spectra [41,42]. However, a significant sharp peak at 25.1° and multiple broad peaks (29.6°−33.1°, 39.1°, 45.5° and 49.2°) were observed in FT, which were ascribed to (101) crystal plane of TiO2 and amorphous form of organic Ti compounds (such as Ti6O6(Ac)6(OBu)6) [41,42], respectively. Fourier transform infrared spectroscopy (FTIR) spectra of FT also confirmed the existence of these organic components for the multiple strong vibration at 500–1000 cm−1 (Fig. 2b). These results suggested that the organic Ti component in FTG, BT and BTC had been transformed into anatase type structure after annealing treatment. Moreover, FTG had a similar XRD spectrum to commercial P25, but the intensity of characteristic peak was weakened due to the intervention of graphene. The peaks located at the 62.7°, 68.9°, 70.4° and 74.9°, classified as (204), (116), (220) and (215) crystal planes, had almost been eliminated in BT and BTC, which was attributed to the reduction effect of sodium borohydride and the entanglement and covering effect of CNT to TiO2 particle [43]. FTIR results (Fig. 2b) showed that the number of vibration peaks in FTG, BT and BTC was significantly decreased compared to FT. Specifically, multiple Ti—O (780 cm−1) or Ti—O—C (819.2 cm−1) vibration peaks for FT were replaced by a large broad vibration peak for FTG, BT and BTC when the wave number was less than 1000 cm−1. This was ascribed to decomposition and elimination of impurity components during annealing treatment [44,45], which was consistent with the XRD results. Additional C═C/C═O (1596 cm−1), Ti—OH (1343 cm−1), TiO2—B (895 cm−1) and Ti—O—Ti (724 cm−1) vibrational peaks were observed in BT and BTC. These O rich functional groups could be provided more active sites to bind ABFP coatings or produce active species. Meanwhile, the Ti containing groups on surface of FTG and BTC was blocked by additional graphene or CNT, and present several weak C═C/C═O or Ti—O—C vibration peaks in FTG and BTC. And both FTG and BTC had more Ti containing groups compared with pure graphene or CNT (Fig. S5 in Supporting information). These above results indicated that graphene or CNT was undergoes recombination and binding with TiO2 particle surface as carbon bridge, rather than simple adsorption.

    Figure 2

    Figure 2.  (a) XRD and (b) FTIR spectra of FT, FTG, BT and BTC. The (c) O 1s and (d) C 1s spectra of FTG and BTC.

    The X-ray photoelectron spectroscopy (XPS) whole spectra revealed that the Ti, O or C elements was the main components on FT, FTG, BT and BTC surface (Fig. S6a in Supporting information). The proportion of Ti3+ in BTC was significantly higher than that in FTG and pure TiO2 (Fig. S6b in Supporting information), which was ascribed to the oxygen enrichment treatment (NaBH4) reduced partly Ti4+ to Ti3+ and formed Ov (oxygen vacancies) [46]. These Ov sites could play as active sites for the binding of CNT or ABFP and generate photocatalytic activity [47]. The XPS spectra of O 1s for FTG and BTC was deconvoluted into Ti—O (lattice oxygen species) and defective oxygen (O2−, C—O or C═O) at 531.15 eV and 532.05 eV, respectively (Fig. 2c). An additional -OH peak was recognized at 535.70 eV, which was usually considered as H2O molecules adsorbed on the BTC surface [47]. These heterogeneous defect oxygen sites could regulate the d-band center of TiO2 and contribute to the generation of reactive species [48]. It could be inferred that BTC had better adsorption or reactivity for water, while the single TiO2 was lack of active sites due to the lower proportion of defective oxygen (Figs. S7 and S8 in Supporting information). Additionally, the C 1s spectra of BTC and FTG was deconvoluted into C═C/C—C, C—O/C—Ti and C═O, located at 284.50 eV, 285.40/284.9 eV and 288.25 eV, respectively (Fig. 2d). These results were demonstrating the binding effects between C and Ti components, and confirmed that the introduction of CNT or graphene was provide the additional active sites (such as C═C, C═O and C—O) on the surface of TiO2 particle, which was conducive to the transfer of photoelectrons via the carbon bridge.

    Inspired by the unique carbon bridge effect between TiO2 particle and ABFP of FTG and BTC, the antibacterial performance of FTP, FTGP, BTP and BTCP coatings to S. aureus and E. coli in artificial seawater were conducted (Fig. 3). Compared to the blank group (glass) and control group (ABFP), the growth and reproduction of S. aureus and E. coli on different FTP, FTGP, BTP and BTCP coating surfaces had been significant inhibited (Fig. 3a). Specifically, the antibacterial rates to S. aureus and E. coli were 50.96% and 52.65% for single ABFP coating. This indicated that solely relying on the polymers surface of ABFP was difficult to resist the bacterial erosion. Nevertheless, the antibacterial rates of FTP, FTGP, BTP and BTCP for S. aureus were significantly improved to 81.83%, 88.34%, 84.83% and 89.33%, respectively, and the antibacterial rates for E. coli were 93.60%, 98.21%, 94.50% and 96.70% (Figs. 3b and c). The antibacterial rate of composite coatings was over 1.64-fold (for S. aureus) and 1.74-fold (for E. coli) more than that of single ABFP coatings. Obviously, this might be attributed to the introduction of photocatalysts (FT, FTG, BT, BTC) changed the antibacterial pathway and improved the antibacterial efficiency of ABFP coating by the photocatalyst reaction. FTGP and BTCP showed a higher antibacterial efficiency than that of FTP and BTP in both S. aureus and E. coli system, which might be attributed to the enhanced photocatalytic ability of FTGP and BTCP by graphene and CNT addition. Moreover, all tested coatings showed a better antibacterial rate to E. coli than S. aureus. It had been reported that S. aureus, as a typical gram-positive bacterium, had a thicker cell wall for the abundant peptidoglycan and teichoic acids than E. coli [49,50], which explained the uneasy breakage of S. aureus cell wall after being attacked by photocatalytic reactions and active species.

    Figure 3

    Figure 3.  (a) Antibacterial digital images and (b, c) the antibacterial rate for different coatings.

    Coatings with different FT, FTG, BT or BTC additional dosage showed over 90% antibacterial rates to both S. aureus and E. coli (Fig. S9 in Supporting information). Excessive photocatalyst addition dosage (>5 wt%) could increase the roughness of the ABFP coating, which provided more breeding sites for bacteria [10]. Moreover, excessive addition of graphene or CNT might block the active sites of TiO2 particles or increase photoelectron transmission distance (Figs. 1be), and inhibiting its photocatalytic ability. Therefore, 3 wt% graphene and CNT was recommended addition dosage for FTGP and BTCP.

    In addition, NC and HA were selected as representative algae to test anti-diatom adhesion ability of prepared coatings. The fluorescence microscopy images of NC and HA were shown in Fig. 4a, and significantly inhibited effect was observed in NC and HA with FTP, FTGP, BTP and BTCP coatings. NC and HA had achieved rapid growth in glass group and fluorescent dots (red) fill the entire image (Fig. 4a glass), while it was decreased by 22.15% and 20.38% in single ABFP within 24 h, respectively (Figs. 4b and c). BTCP showed the best anti-diatom adhesion rate in both NC (99.00%) and HA (99.50%) system (Figs. 4b and c). Meanwhile, the anti-algae efficiency of all prepared coatings was slightly higher than that of antibacterial efficiency because of size differences between algae and bacteria. The photocatalyst addition dosage result shown that there was an optimal addition dosage for FT, FTG, BT and BTC, excessive addition was not conducive to improve the anti-diatom adhesion ability of corresponding coatings (Fig. S10 in Supporting information). Excessive addition of carbon materials (graphene or CNT) not only increased the roughness of the coating, but also covered the active sites on the surface of TiO2. The antifouling performance of FTGP or BTCP was significantly better than some reported studies (Table S1 in Supporting information). In brief, BTCP with 3 wt% BTC addition were recommended coatings and had the best anti-diatom adhesion efficiency (>99.00%).

    Figure 4

    Figure 4.  (a) Diatom adhesion fluorescence microscopy images and (b and c) the antidiatom adhesion ability for different coatings.

    In order to reveal the role of graphene or CNT in TiO2-ABFP coatings, the ultraviolet–visible diffuse reflection spectrum (UV–vis DRS), energy bandgap, electrochemical impedance spectroscopy (EIS) and i-t curve were conducted and present in Fig. 5. UV–vis DRS spectra revealed that the order of light absorption intensity was FT < BT < BTC < FTG for the whole wavenumber (200–800 nm) (Fig. 5a). In other words, FTG might had the best light utilization efficiency in whole wavenumber due to the excellent structure and light absorption efficiency of graphene. Similar results had also been observed in other literatures, typically associated with graphene regulating the lattice of TiO2 [40,51]. Moreover, a significant difference occurred in wavelength range of visible light (350–800 nm), the visible light absorption of FTG and BTC had been significantly improved and stabilized at 0.79–0.83 a.u., while a sharp decreases and stabilizes at 0.05 a.u. trends were observed for FT. And an unstable absorbance trend (sharp rise followed by slow decline and gradual rise until equilibrium) and lower intensity (0.55–0.79 a.u.) was observed in BT with the wavelength increased from 350 nm to 800 nm. This indicated that the addition of graphene or CNT could improve the visible light absorption performance of TiO2, while the effect of sodium borohydride modification was unstable. The effect of addition dosage results further showed that excessive or insufficient addition of CNT or graphene was not conducive to improve the catalyst's absorption of visible light, which consistent with the public reports [51,52], and BTC-3% and FTG-3% achieved the optimal activity for visible light (Fig. S11 in Supporting information). Therefore, an appropriate additional proportion (3 wt%) of graphene or CNT in TiO2 particle might be the key factor to improving the antifouling performance of FTGP and BTCP due to its wider absorption range for light.

    Figure 5

    Figure 5.  The (a) UV–vis DRS, (b) EIS of FT, FTG, BT and BTC; electron spin resonance (ESR) spectra signals of (c) ·OH and (d) O2·- on BTCP-water or methanol system with or without light.

    The energy bandgap of FT, FTG, BT and BTC were 3.07 eV, 1.63 eV, 1.78 eV and 1.97 eV, respectively (Fig. S12a in Supporting information). Lower energy bandgap represents a less energy from light was needed to activate electron transfer in FTG or BTC, which also means a better utilization efficiency of sunlight and lead to a well photocatalytic potential. Literatures had been pointed out that lower bandgap indicated higher mobility of valence electrons in TiO2 lattice, which might improve the conductivity of the TiO2 [31,52]. These results confirmed that FTG and BTC had better photocatalytic efficiency, which in turn promoted the corresponding antifouling performance of FTGP and BTCP.

    Furthermore, the ESI curves were measured and showed in Fig. 5b. A significantly increase of -Z'' for FT, FTG, BT and BTC was observed when Z' continuously increasing (>20 ohm), and BTC had the lowest -Z'' values in the medium-frequency region. This indicated that BTC could maintain better conductivity under lower applied voltage due to the additional CNT improve the electron transfer efficiency in TiO2. FTG also had significantly lower resistance than BT and FT. In addition, due to higher photocurrent response values under the same light stimulation in the photocurrent-time curves (Fig. S12d in Supporting information), which revealed FTG and BTC were more sensitive to electron migration [52,53]. This indicated that CNT presented better improvement of TiO2 conductivity than that of graphene. Therefore, since graphene or CNT was binding on TiO2 surface with C-Ti/Ti-O (Figs. 2c and d), it could be concluded that the additional graphene or CNT might plays a bridging role in the process of photoelectron generation and transfer, thereby improving the antifouling ability of FTGP or BTCP.

    Obvious signals of hydroxyl (OH) and superoxide radicals (O2•−) were detected for BTCP with light on 6 min, while not detected in dark condition (Figs. 5c and d). This result confirmed the electron transfer bridging effect of CNT and revealed that BTCP could rapidly generate large number of reactive oxygen species (ROS, OH and O2•−) through CNT mediation, thereby inhibiting the growth of algae and bacteria on the coating surface.

    Both graphene and CNT could improve the structure, light absorption, and photoelectric conversion effect of TiO2, which were the key for the better antifouling performance of BTCP or FTGP. We further summarized the generic antifouling mechanism of FTGP and BTCP in seawater with light, which was presented in Fig. 6. Firstly, graphene and CNT provided more functional groups and played as a “link” or bridge between the interface of TiO2 and ABFP, which formed a smoother coating surface and reduced the accessibility of pollutants or organism. Secondly, both FTGP and BTCP acquired extra photocatalytic pathway on antifouling due to the wider light absorption range and more sensitive photoelectric effect of FTG and BTC particles. Specifically, the FTG or BTC particles which embedded in ABFP coating could be activated to generate abundant holes and release electrons on TiO2 under both ultraviolet and visible light. During this electron transfer process, graphene, or CNT in FTGP or BTCP acted as electron bridges, rapidly and smoothly transferred electrons to the coating surface. And then the activated electron and holes further reacted with water molecules or dissolved oxygen to rapidly produce OH and O2•−. These radicals with high oxidation capacity could effectively destroy the DNA or proteins in algae or bacterial cells, thereby prevented their adhesion and growth on the coating surface. In addition, both FTGP and BTCP also had self-cleaning properties because of the slow hydrolysis reaction of ABFP coatings [21]. The hydrolysis products had been confirmed by the detection of acetophenone, dimethylbenzyl alcohol, pyridine, formic acid, or boron-benzenes groups (Table S2 in Supporting information). In other words, this self-cleaning property not only removed stubborn biological residues or inorganic impurities, but also exposed and replaced of the photocatalytic active surface of new FTG or BTC to maintain efficient generation of ROS (OH and O2•−). The hydrolysis products generated through self-cleaning processes were further decomposed into CO2 and H2O under the action of visible light and ROS. Additionally, BTCP or FTGP also exhibits good stability (Fig. S13 in Supporting information) and environmental friendliness (Fig. S14 in Supporting information). Photocatalytic processes on composite coatings surface could degrade the hydrolysis products of ABFP, which reduced the toxic of ABFP coatings to the environment and organisms. Therefore, FTGP and BTCP provided a feasible perspective and approach to unify the efficient performance and environmental friendliness of antifouling coatings.

    Figure 6

    Figure 6.  Proposed mechanism of antifouling by FTGP or BTCP in seawater.

    In summary, we developed serials photocatalyst and composite antifouling coatings with raw material of graphene or CNT, TiO2 and ABFP via hydrothermal and annealing treatment. The introduction of graphene and CNT had brought new functional groups (C—O, C—Ti—O, etc.) and spatial structures (petal gaps, entanglement) to TiO2 particle, which also played a “link” or bridge role in the combination process of TiO2 and ABFP, and significantly improved tightness and smoothness of the composite antifouling coatings of FTGP and BTCP. BTCP showed the best antibacterial (89.33%) and anti-diatom adhesion rate (99.50%), which were 1.84-fold and 4.94-fold that of single ABFP. The recommended additional ratio was 3 wt% of graphene or CNT to TiO2 and 5 wt% of TiO2 to ABFP. Proper addition of graphene or CNT significantly enhances photocatalytic activity of TiO2 and improves the transfer efficiency of active species between coatings. Carbon bridge effect between TiO2 and ABFP enhance the synergies antifouling process. More attempts are needed to explore the modification effects of other engineering carbon materials (activated carbon, biochar) on TiO2 in the future. Our work provides a new insight into the regulation of TiO2 and the antifouling mechanism of polymer coating.

    The authors declare that there are no completing interests.

    Jiatong Li: Conceptualization, Formal analysis, Investigation, Writing – original draft. Linlin Zhang: Data curation, Funding acquisition, Methodology, Resources. Peng Huang: Funding acquisition, Methodology, Supervision, Writing – review & editing. Chengjun Ge: Funding acquisition, Project administration, Supervision.

    This work was supported by the National Natural Science Foundation of China (Nos. 42277315, 22066009) and the Scientific Research Startup Fund of Hainan University (Nos. XJ2300005916, kyqd (zr) 22185); this work was also supported by Scientific Research Project of Hainan Higher Education Institutions (No. Hnky2023-9) and Innovational Fund for Scientific and Technological Personnel of Hainan Province (No. KJRC2023C12).

    Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.cclet.2024.109970.


    1. [1]

      S. Cao, J. Wang, H. Chen, D. Chen, Chin. Sci. Bull. 56 (2011) 598–612. doi: 10.1007/s11434-010-4158-4

    2. [2]

      H. Jin, L. Tian, W. Bing, et al., Prog. Mater. Sci. 124 (2022) 100889. doi: 10.1016/j.pmatsci.2021.100889

    3. [3]

      M.S. Selim, M.A. Shenashen, S.A. El Safty, et al., Prog. Mater. Sci. 87 (2017) 1–32. doi: 10.1016/j.pmatsci.2017.02.001

    4. [4]

      H. Qiu, K. Feng, A. Gapeeva, et al., Prog. Polym. Sci. 127 (2022) 101516. doi: 10.1016/j.progpolymsci.2022.101516

    5. [5]

      M.R.N. Lee, U.J. Kim, I.S. Lee, et al., Mar. Pollut. Bull. 99 (2015) 157–165. doi: 10.7776/ASK.2015.34.2.157

    6. [6]

      M. Lagerström, J. Strand, B. Eklund, E. Ytreberg, Environ. Pollut. 220 (2017) 1333–1341. doi: 10.1016/j.envpol.2016.11.001

    7. [7]

      J.F. Marchand, Science 104 (1946) 74–75. doi: 10.1126/science.104.2691.74

    8. [8]

      M. Zhai, Y. Gong, X. Chen, et al., Surf. Coat. Technol. 328 (2017) 115–120. doi: 10.1016/j.surfcoat.2017.08.049

    9. [9]

      A.P. Ferris, I. McDermott, Nature 212 (1966) 284–285. doi: 10.1038/212284a0

    10. [10]

      S. Pourhashem, A. Seif, F. Saba, et al., J. Mater. Sci. Technol. 118 (2022) 73–113. doi: 10.1016/j.jmst.2021.11.061

    11. [11]

      Z. Li, P. Liu, S. Chen, et al., Eur. Polym. J. 190 (2023) 111997. doi: 10.1016/j.eurpolymj.2023.111997

    12. [12]

      Y. Wu, W. She, D. Shi, et al., Compos., Part B 195 (2020) 108031. doi: 10.1016/j.compositesb.2020.108031

    13. [13]

      M. Cui, X. Chen, S. Mei, S. Ren, Chem. Eng. J. 471 (2023) 144760. doi: 10.1016/j.cej.2023.144760

    14. [14]

      H. Zhang, Y. Li, S. Tian, et al., Chem. Eng. J. 436 (2022) 135072. doi: 10.1016/j.cej.2022.135072

    15. [15]

      Z. Zhang, R. Chen, J. Yu, et al., Chem. Eng. J. 474 (2023) 145540. doi: 10.1016/j.cej.2023.145540

    16. [16]

      H. Zheng, L. Liu, F. Meng, et al., J. Mater. Sci. Technol. 84 (2021) 86–96. doi: 10.1016/j.jmst.2020.12.022

    17. [17]

      S. Dolui, D. Kumar, S. Banerjee, B. Ameduri, Acc. Mater. Res. 2 (2021) 242–251. doi: 10.1021/accountsmr.1c00015

    18. [18]

      A.M.C. Maan, A.H. Hofman, W.M. de Vos, M. Kamperman, Adv. Funct. Mater. 30 (2020) 2000936. doi: 10.1002/adfm.202000936

    19. [19]

      P. Wang, B. He, B. Wang, et al., Prog. Org. Coat. 165 (2022) 106706. doi: 10.1016/j.porgcoat.2022.106706

    20. [20]

      Y. Li, R. Chen, Y. Feng, et al., Ind. Eng. Chem. Res. 58 (2019) 8016–8025. doi: 10.1021/acs.iecr.8b06337

    21. [21]

      X. Sun, L. Zhang, R. Chen, et al., J. Colloid Interface Sci. 608 (2022) 1802–1812. doi: 10.1016/j.jcis.2021.10.044

    22. [22]

      Y. Li, R. Chen, L. Zhang, et al., Colloids Surf. A 582 (2019) 123865. doi: 10.1016/j.colsurfa.2019.123865

    23. [23]

      Z. Yu, X. Li, X. Li, et al., Adv. Funct. Mater. 33 (2023) 2305995. doi: 10.1002/adfm.202305995

    24. [24]

      Y. Gu, L. Yu, J. Mou, et al., Mar. Drugs 18 (2020) 1–22. doi: 10.4103/vit.vit_9_20

    25. [25]

      L. Zhang, J. Sha, R. Chen, et al., J. Hazard. Mater. 389 (2020) 121854. doi: 10.1016/j.jhazmat.2019.121854

    26. [26]

      S. Sinha, R. Kumar, J. Anand, et al., ACS Appl. Nano Mater. 6 (2023) 12828–12848. doi: 10.1021/acsanm.3c01539

    27. [27]

      J.Y. Park, Science 361 (2018) 753. doi: 10.1126/science.aau6016

    28. [28]

      N. Rahimi, R.A. Pax, E.M. Gray, Prog. Solid State Chem. 44 (2016) 86–105. doi: 10.1016/j.progsolidstchem.2016.07.002

    29. [29]

      S. Selcuk, X. Zhao, A. Selloni, Nat. Mater. 17 (2018) 923–928. doi: 10.1038/s41563-018-0135-0

    30. [30]

      F. Xu, K. Meng, B. Cheng, et al., Nat. Commun. 11 (2020) 4613. doi: 10.1038/s41467-020-18350-7

    31. [31]

      Y. Liu, L. Tian, X. Tan, et al., Sci. Bull. 62 (2017) 431–441. doi: 10.1016/j.scib.2017.01.034

    32. [32]

      S. Liang, X. Wang, Y.J. Cheng, et al., Energy Storage Mater. 45 (2022) 201–264. doi: 10.1016/j.ensm.2021.11.023

    33. [33]

      J. Arun, S. Nachiappan, G. Rangarajan, et al., Environ. Chem. Lett. 21 (2023) 339–362. doi: 10.1007/s10311-022-01503-z

    34. [34]

      Y. Liang, G. Huang, X. Xin, et al., J. Mater. Sci. Technol. 112 (2022) 239–262. doi: 10.1016/j.jmst.2021.09.057

    35. [35]

      V. Rodríguez González, C. Terashima, A. Fujishima, J. Photochem. Photobiol. C 40 (2019) 49–67. doi: 10.1016/j.jphotochemrev.2019.06.001

    36. [36]

      T.D. Nguyen Phan, V.H. Pham, E.W. Shin, et al., Chem. Eng. J. 170 (2011) 226–232. doi: 10.1016/j.cej.2011.03.060

    37. [37]

      W. Yu, B. Zheng, K. Mao, et al., J. Cleaner Prod. 361 (2022) 132261. doi: 10.1016/j.jclepro.2022.132261

    38. [38]

      Á.T. Moranchel, A. Manassero, M.L. Satuf, et al., Appl. Catal. B 246 (2019) 1–11. doi: 10.1016/j.apcatb.2019.01.054

    39. [39]

      J. Dustebek, C. Kandemir Cavas, S.F. Nitodas, L. Cavas, Prog. Org. Coat. 98 (2016) 18–27. doi: 10.1016/j.porgcoat.2016.04.020

    40. [40]

      M.R.F. Silva, M.A.O. Lourenço, D.M. Tobaldi, et al., Chem. Eng. J. 387 (2020) 124099. doi: 10.1016/j.cej.2020.124099

    41. [41]

      C. Wang, X. Cai, Y. Chen, et al., Chem. Eng. J. 317 (2017) 522–532. doi: 10.7326/L17-0268

    42. [42]

      A. Sharma, P. Negi, R.J. Konwar, et al., J. Mater. Sci. Technol. 111 (2022) 287–297. doi: 10.1016/j.jmst.2021.09.014

    43. [43]

      X. Tian, M. Zahid, W. Sun, Y. Zhu, Appl. Surf. Sci. 566 (2021) 150615. doi: 10.1016/j.apsusc.2021.150615

    44. [44]

      L. Bi, Z. Chen, L. Li, et al., J. Hazard. Mater. 407 (2021) 124759. doi: 10.1016/j.jhazmat.2020.124759

    45. [45]

      H. Zhao, W. Han, Z. Tang, Appl. Catal. B 276 (2020) 119133. doi: 10.1016/j.apcatb.2020.119133

    46. [46]

      T.W. Kim, M. Park, H.Y. Kim, S.J. Park, J. Solid State Chem. 239 (2016) 91–98. doi: 10.1016/j.jssc.2016.04.010

    47. [47]

      Z. Song, J. Hrbek, R. Osgood, Nano Lett. 5 (2005) 1327–1332. doi: 10.1021/nl0505703

    48. [48]

      S. Zhang, R. Wang, K. Wang, et al., Environ. Sci. Technol. 58 (2024) 1921–1933. doi: 10.1021/acs.est.3c08579

    49. [49]

      Z. Liu, M. Huang, A. Li, H. Yang, Water Res. 119 (2017) 57–66. doi: 10.1016/j.watres.2017.04.043

    50. [50]

      G. Guan, L. Zhang, J. Zhu, et al., J. Hazard. Mater. 402 (2021) 123542. doi: 10.1016/j.jhazmat.2020.123542

    51. [51]

      M. Minella, F. Sordello, C. Minero, Catal. Today 281 (2017) 29–37. doi: 10.1016/j.cattod.2016.03.040

    52. [52]

      A. Meng, L. Zhang, B. Cheng, J. Yu, Adv. Mater. 31 (2019) 1807660. doi: 10.1002/adma.201807660

    53. [53]

      M. Fan, Z. Lin, P. Zhang, et al., Adv. Energy Mater. 11 (2021) 2003037. doi: 10.1002/aenm.202003037

  • Figure 1  (a) Schematic diagram of the synthesis of FT, BT, FTG and BTC and corresponding antifouling coating. (b, f) SEM, (c, g) TEM, (d, h) EDS and (e, i) HRTEM image of FTG and BTC, respectively. AFM images and corresponding Ra and Rq values of (j) FTP, (k) FTGP, (l) BTP and (m) BTCP. FT and BT were the TiO2 samples without added carbon material; FTG and BTC were the samples with 3 wt% addition of graphene and CNT in FT and BT; FTP, FTGP, BTP and BTCP were obtained with 5 wt% corresponding photocatalyst in ABFP coating, respectively. similarly hereinafter.

    Figure 2  (a) XRD and (b) FTIR spectra of FT, FTG, BT and BTC. The (c) O 1s and (d) C 1s spectra of FTG and BTC.

    Figure 3  (a) Antibacterial digital images and (b, c) the antibacterial rate for different coatings.

    Figure 4  (a) Diatom adhesion fluorescence microscopy images and (b and c) the antidiatom adhesion ability for different coatings.

    Figure 5  The (a) UV–vis DRS, (b) EIS of FT, FTG, BT and BTC; electron spin resonance (ESR) spectra signals of (c) ·OH and (d) O2·- on BTCP-water or methanol system with or without light.

    Figure 6  Proposed mechanism of antifouling by FTGP or BTCP in seawater.

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  • 发布日期:  2025-02-15
  • 收稿日期:  2024-01-23
  • 接受日期:  2024-05-07
  • 修回日期:  2024-04-18
  • 网络出版日期:  2024-05-08
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