In order to improve visible light utilization efficiency and enrich low-concentration antibiotics in water systems, a new type of floating TiO2 graphite carbon (FTDGC) photocatalyst was prepared by the one-pot method. These floating materials have good adsorption properties and sufficient mechanical strength, which makes them easy to recycle and reuse in processing. Its photocatalytic performance was evaluated by photocatalytic degradation of tetracycline (TC) in water. The results showed that FTDGC had a high adsorption degradation capacity for TC and the photocatalytic degradation process was accorded with a first-order kinetic equation. The Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy indicated the generation of Ti–C–Ti valence bonds and Ti–C–O bonds on the TiO2 surface with the modification of graphite carbon materials. Optimization of preparation conditions revealed that as the amount of activator phosphoric acid increased and the porosity of the solid surface increased, the external exposure of TiO2 made the effect of the composite catalyst more pronounced. The recycling experiment showed that FTDGC still had good degradation ability for TC after five times reuse. The catalysts developed in this research can provide a new idea and reference for the pretreatment of refractory organic wastewater, as well as for the reuse of medium water.

  • Composite photocatalysts were prepared by a single-pot method of the peanut shell, waste graphite electrode, bleaching beads, polyvinyl alcohol, and phosphoric acid.

  • The more abundant the content of TiO2 and phosphoric acid, the larger the pore structure, and the more exposed TiO2, the better the photocatalytic effect.

  • Within a certain pH range, this photocatalyst material can regulate the change of pH during tetracycline degradation.

Tetracycline (TC) antibiotics, recognized as one of the four new types of pollutants by the Chinese government, have garnered significant attention and research (Sauvé & Desrosiers 2014; Morin-Crini et al. 2022; Zhang et al. 2023b). Studies indicate that antibiotics are extensively used and administered in large quantities for the treatment of infectious diseases (Zhang et al. 2023a). However, following their use, 5–90% of antibiotics are excreted from the human or animal body in their parent form or as metabolites through urine or feces (Zeng et al. 2023). Due to the frequent occurrence of influenza in recent years, the misuse of antibiotics has become normalized (Baran et al. 2023; Gu et al. 2023). Some researchers have collected water samples from various locations, detecting the presence of TC. Han et al. (2020) detected antibiotics in various substrates (seawater, sediment/biofilm, organisms, and feed) in different culture modes (greenhouse and outdoor culture) during the rainy and dry seasons in the coastal area of Shandong Province. A study by Liu et al. (2019) investigated the extent of contamination by a variety of antibiotics and antibiotic resistance genes (ARGs) in hospital wastewater, groundwater, and the Wenyu River, and 11 antibiotic concentrations of the detected ranged from undetectable to 16,800 ng/L in various water samples. TC antibiotics have been detected at the highest concentrations, especially in the hospital water samples. The health effects and ecological hazards associated with TC residues in water have been substantiated, and further research is ongoing (National Toxicology 1989). The stable fused ring structure of TC contributes to its environmental stability, rendering it difficult for microorganisms to degrade. Moreover, it is not easy to be removed from wastewater by common water treatment processes, such as the common activated sludge method for wastewater treatment, which is less effective in treating TC wastewater (Li et al. 2022a). Consequently, research into novel treatment technologies for wastewater containing low concentrations of antibiotics has emerged as a new area of interest.

Researchers have explored a variety of methods for removing antibiotics from the aquatic environment, which can be broadly categorized into physical, chemical, and biological approaches (Oberoi et al. 2019; Zhu et al. 2021; Li et al. 2022b). A comprehensive comparison of these research methods revealed that photocatalytic oxidation is an effective and environmentally friendly technology for the removal of antibiotics from water. Furthermore, it represents a superior green and sustainable water treatment solution. It is also a better green and sustainable water treatment technology. Tayyab, Muhammad et al. found that sulfur group compounds are more effective for photocatalytic hydrogen production. In parallel, MoS 2-tipped CdS nanowires photocatalysts were efficiently synthesized by a two-step hydrothermal method using a soft template for the efficient production of H2 by selective oxidation of benzyl alcohol under visible light irradiation (Muhammad Tayyab et al. 2023; Tayyab et al. 2023, 2024). Photocatalysts have better results in catalytic H2 production. Meanwhile, the degradation of antibiotics using load-modified nanophotocatalysts has also achieved better results in a series of studies. In addition to this, the application of photocatalysts to optical fibers is extremely promising and of high research value. Ling et al. (2017) explored the aqueous-phase light-emitting diode (LED) irradiation of optical fibers for the treatment of organic pollutants and proposed for the first time a dual-mechanism approach for light transmission and photocatalytic performance. Wang et al. (2024) developed a low-cost, physically flexible catalytic polymer optical fiber structure called photoelectrode fiber to remove organic pollutants in water up to 90% or more. Utilizing the strength of ultraviolet light (UV-C) in combination with photocatalysts for the treatment of pollutants is also an effective method. Zhao et al. showed that emitting low-flux UV-C light into Surface Electron-Transfer Oxygen Functionalization (SEOF) on membrane surfaces is a promising nonchemical method for attenuating biofouling formation on reverse osmosis membranes while inhibiting biofilm buildup on surfaces in small-diameter piping or other complex geometries (Rho et al. 2022; Zhao et al. 2023). Zhao et al. (2021) used silica nanoparticle coatings on quartz optical fibers to promote the lateral emission of germicidal UV-C, which is expected to disinfect contaminated air, water, and surfaces. Li et al. (2019) developed nanoparticles-decorated TiO2 nanorods embedded in a cellulose acetate (Au0.1Ag0.9/TiO2/CA) membrane for enhanced photocatalytic degradation of TC and killing pathogenic bacteria. The TC degradation rate of the Au0.1Ag0.9/TiO2/CA membrane under visible light irradiation for 120 min could reach about 90%. Meanwhile, nanostructured C–TiO2-x microspheres were prepared by a facile modified solvothermal method and used as an efficient visible light photocatalyst for photocatalytic elimination of antibiotics (Nie et al. 2020). The visible light photocatalytic activity of C–TiO2-x-180 microspheres is about 3.14 times higher than that of commercial TiO2. However, there is still a research gap for improvement in the preparation process and recycling of these loaded nanocatalysts.

To address the issues arising from the aforementioned materials, some researchers have developed a floatable photocatalyst material tailored to the specific conditions of the water environment. This innovation enhances both the utilization of visible light and photocatalytic efficiency. Floating photocatalysts, constructed from melamine sponge and polyurethane sponge, were synthesized using the sodium alginate immobilization method by Wang et al. (2023). The degradation rates of rhodamine B, crystal violet, and malachite green had reached 94.02, 92.1, and 97.13%, respectively. Xu et al. (2022) prepared different floating photocatalytic spheres by loading TiO2-based photocatalysts to degrade TC in simulated seawater. Foamed melamine photocatalyst had the largest specific surface area of 28.47 m2/g and the best algal inactivation rate of 98.68% within 6 h. These floating photocatalysts have a better degradation effect but the preparation process is more complicated and still needs further improvement. However, the above studies show that it is an effective idea to develop new floating photocatalysts with low material prices, simple preparation steps, and a high recycling rate.

Our research team has discovered that graphitic carbon enhances the efficiency of titanium dioxide photocatalysis, which has the potential to streamline the preparation of floatable photocatalysts. Through examination of TC antibiotic degradation, we have developed a one-pot method for creating a floating TiO2 photocatalyst. By utilizing our earlier research on graphitic carbon materials with high adsorption and photocatalytic efficiency, we propose a novel floating TiO2 graphite carbon (FTDGC) sphere that uses polyvinyl alcohol as a binder for TC removal (Zhang et al. 2022). We have optimized the conditions for FTDGCs based on adsorption, strength, and recyclability, with the aim of introducing a new catalyst for TC degradation in surface water.

Materials

Peanut shells, fly ash floating beads, and electrode graphite were purchased from Zhengzhou's local market. Chemical reagents such as polyvinyl alcohol, sodium hydroxide, and butyl titanate were purchased from Komeo Chemical Reagent Co. Phosphoric acid and hydrochloric acid were purchased from Luoyang Chemical Reagent Factory. All reagents were analytically pure, and the experimental water was deionized water.

Preparation of FTDGC

Peanut shells and spent electrode graphite were cleaned with deionized water and 10% nitric acid and then dried in an oven at 110°C.

Preparation process: 0.17 g of peanut shell powder, 0.5 g of electrode graphite powder, and 2.5 g of bleaching beads were mixed well and added to 200 mL of water, to which 20 mL of butyl titanate was slowly added dropwise, stirred on the magnetic stirrer for 12 h and then filtered, and the mixed powders were dried at 80°C. A certain amount of powder was added, different doses of phosphoric acid and 10% polyvinyl alcohol solution was added, mixed and stirred evenly, and molded into shape. The pellets were formed into small balls with a diameter of about 5 mm and dried in an oven at 110°C for 16 h. After cooling, the ball was pyrolysised at 500°C in a tube furnace under a nitrogen atmosphere for 2 h (heating rate of 10°C/min and N2 flow rate of 45 mL/min). According to the different proportions of added raw materials, the samples were labeled as FTDGC-1, FTDGC-2, FTDGC-3, FTDGC-4, and FTDGC-5, respectively.

Characterization

The surface morphology and structure of the samples were characterized by scanning electron microscopy (SEM, Phenom Pro X, The Netherlands). The crystal structure was characterized by X-ray diffraction (XRD, MinifleX600, Japan). The Fourier transform infrared spectroscopy (FTIR, IS20, USA) of the samples was determined over the wavenumber range of 500–4,000 cm−1. The chemical state of the elements near the surface of the composite catalyst was analyzed by X-ray photoelectron spectroscopy (XPS, Thermo Scientific ESCALAB 250Xi, USA). The residual TC concentration in the solution was determined by a UV spectrophotometer (Shimadzu UV-1800, Japan) at 357 nm. The TC degradation rate (%) was calculated according to the following formula:
where C0 was the initial concentration of TC (mg/L) and Ct was the concentration at different degradation time periods.

Photocatalytic degradation of TC by composite photocatalysts

For photocatalytic experiments at room temperature, 0.45 g pellets were put into 100 mL of TC solution (30 mg/L), and after a dark reaction for 1 h to reach adsorption equilibrium, photodegradation experiments were carried out under visible light irradiation generated by a 300 W xenon lamp (wavelength range of 200–800 nm). When the degradation time was 0, 30, 60, 90, 120, 150, and 180 min, 5 mL of sample was taken, the sample solution was passed through a 0.45 μm membrane and the concentration of TC hydrochloride solution was detected by UV spectrophotometer. The initial pH was adjusted to 3.0, 5.0, 7.0, and 9.0 to study the pH changes during TC degradation by FTDGC.

Optimization of experimental parameters by the response surface method

The experimental results were fitted by the nonlinear regression method, using Design Expert 13 software for the optimization of experimental materials and mathematical modeling to determine the three optimal TC degradation efficiency parameters: dosage, initial concentration, and pH using the Box-Behnken design. The experimental results were fitted by the nonlinear regression method, and the fitted model was as follows:
(1)
where Y is the predicted removal efficiency of TC; Xi and Xj are independent variables and is a secondary effect; β0 is a constant coefficient, βi is a linear coefficient, βii is a quadratic coefficient, and βij is an interaction coefficient.

Adsorption kinetics and recycling of materials

For the photodegradation kinetic fitting of composites, the first-order kinetic model was discussed. The degradation rate obtained by theoretical analysis could provide guiding significance in practical application (Equation (2)) (Liu et al. 2013; Jiang et al. 2016).
(2)
where t is the time (min); C0 is the initial concentration of TC (mg/L); Ct is the concentration of TC at time t (mg/g); and k is the first-level kinetic reaction rate constant. The rate constant of the photocatalytic reaction process can be obtained from the fitting equation of the kinetic model, and the larger the rate constant, the faster the photocatalytic reaction rate.

The performance of the catalyst was evaluated through five successive cycles. Following the photocatalytic reaction, the supernatant was allowed to settle and was subsequently removed to obtain TiO2–GC, which was subsequently washed ultrasonically with distilled water for 4 h, dried at 80°C, and then employed in the reusability experiments that were conducted over five cycles, employing the same procedures as specified in Section 2.4.

Characterization

XRD analysis

Figure 1 shows the XRD patterns of TiO2 and FTDGC. For FTDGC, the four peaks at 2θ values of 25.26°, 37.80°, 48.09°, and 62.68° correspond to the (101), (004), (200), and (204) crystallographic planes of anatase-type TiO2. No obvious carbon peaks can be seen from the plots of the photocatalytic composites, which may be due to the similar diffraction positions of carbon and the (101) plane of anatase-type TiO2, which partially overlap. The sharp diffraction peaks of the samples indicate that the composites are well crystallized, which is conducive to the improvement of photocatalytic activity, which suggests that anatase-type TiO2 has been successfully loaded on graphite carbon (GC) and that the GC as a carrier has not changed the crystal structure of TiO2. According to the Scherrer equation, the average grain sizes of TiO2 and FTDGC were calculated to be 14.56 and 6.69 nm, respectively, indicating that the average grain size of the synthesized materials was small. The strong impact stirring of precursor and carbon base material can effectively control the size of crystal particles during the preparation of titanium dioxide nanomaterials, and the size of TiO2 particles is also limited by a large number of mesopores and amorphous layers of carbon in the carbon base material, which leads to the narrowing of the size of TiO2 particles.
Figure 1

XRD patterns of TiO2 and FTDGC.

Figure 1

XRD patterns of TiO2 and FTDGC.

Close modal

SEM analysis

We tested the floating properties of the prepared graphite carbon spheres by placing them in a beaker of deionized water and observed their size with a ruler. From Figure 2(a), it can be seen that the FTDGC has the appearance of a sphere with a diameter of about 5 mm, which has a density less than that of water and can be floated on water for a long time. Figure 2(b) shows the SEM image of FTDGC with honeycomb macroporous structure in a laminated structure with developed pores and rough surface; this morphology may be due to the gradual carbonization of peanut shells. During the preparation of biochar by pyrolysis, some micropores were formed by the escape of liquid products such as wood tar and gaseous products such as carbon monoxide. It can be seen that the material is embedded with fly ash drift beads that make it float, which contain interconnected macropores of about 5 μm, and a partial magnification of Figure 2(c) shows the irregular surface of the FTDGC. The material has a highly porous surface that shows a good pore structure. Continued magnification shows that the surface of the charcoal-based material is loaded with a uniform layer of TiO2 nanoparticles (Figure 2(a)), and the presence of graphitic charcoal allows for the uniform loading of the titanium dioxide nanoparticles, indicating that the TiO2 particles were successfully loaded on the GC surface.
Figure 2

SEM image of (a) ball appearance and floating performance, (b) 500 × , (c) 2,000 × , and (d) 6000 × FTDGC.

Figure 2

SEM image of (a) ball appearance and floating performance, (b) 500 × , (c) 2,000 × , and (d) 6000 × FTDGC.

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FTIR analysis

Figure 3 shows the FTIR spectra of the samples. The presence and influence of carbon were confirmed by the observation of distinct characteristic peaks of carbon-based materials in the FTDGC FTIR spectrograms, such as the O–H peak at 3,419 cm−1, the C–C peak at 1,383 cm−1, and the C–O peak at 1,064 cm−1. The peaks at 3,419 at cm−1 are considered to be the vibration of surface adsorbed water–OH. The hydroxyl groups and adsorbed water on the surface of the FTDGC have the potential to reduce the electron–hole complexation rate and thus improve the photocatalytic efficiency of the system. The photocatalytic material has a broad peak in the range of 411–926 cm−1, which indicates the presence of Ti–O–Ti bonds in the material, further demonstrating that TiO2 is mixed and interconnected with the charcoal-based material. In addition to coupling through π–electron interactions, FTDGC can further enhance the coupling through Ti–O–C bonds generated on the surfaces of the charcoal-based materials and TiO2.
Figure 3

FTIR spectrogram of FTDGC.

Figure 3

FTIR spectrogram of FTDGC.

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XPS analysis

The chemical composition and binding environment of the FTDGC were investigated by XPS analysis. The fully measured spectra in Figure 4(a) indicate the presence of titanium (Ti 2p), carbon (C 1s), oxygen (O 1s), and phosphorus (P 2p) elements in the FTDGC. Figure 4(b) shows the fine orbital profile of C 1s in FTDGC, dominated by the C 1s peak at 284.8 eV due to the presence of a wide range of non-alternating hydrocarbons in the material, with peaks at 284.8, 286.3, and 288.4 eV corresponding to the C = C bond, the C–OH bond, and the Ti–O–C bond, respectively. In Figure 4(c), the O 1s spectra were fitted to two peaks at 530.0 and 531.8 eV, corresponding to Ti–O and –OH bonds, respectively, which may originate from titanium oxide or hydroxyl groups chemisorbed on the TiO2 surface. In Figure 4(d), the Ti 2p spectra were fitted to two peaks at 450.0 and 464.7 eV, which correspond to the Ti 2p3/2 and Ti 2p1/2 orbital characteristic peaks of FTDGC, respectively. The 2p3/2 and 2p1/2 orbital characteristic peaks of Ti in FTDGC were shifted toward higher binding energies compared with those of pure photocatalysts, which could be attributed to the strong interactions between the charcoal-based materials and TiO2, and the electron density around the Ti atoms was reduced, which further proved the formation of Ti–O–C bonds.
Figure 4

XPS profile of (a) wide scan, (b) (c) C 1s O 1s, and (d) Ti 2p of FTDGC.

Figure 4

XPS profile of (a) wide scan, (b) (c) C 1s O 1s, and (d) Ti 2p of FTDGC.

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Photocatalytic degradation experiment

Performance evaluation of different FTDGCs

After reaching adsorption equilibrium in a dark environment, the catalysts were placed under a xenon lamp for photocatalytic reactions. The adsorption and photocatalytic effects of different catalysts prepared under different preparation conditions are shown in Figure 5. It can be seen that the removal efficiencies of the five materials for TC at 3 h of xenon lamp irradiation were 90.68, 73.96, 75.00, 83.37, and 86.29%, respectively. Among them, FTDGC-1, FTDGC-2, and FTDGC-3 were added with 0.84, 0.42, and 0.21 mL of phosphoric acid in the mixed powders with C/Ti = 0.2, respectively. According to Figure 5, it can be seen that as the content of phosphoric acid in the mixed fractions increases, their photocatalytic effect is also better, probably because the increase in the amount of phosphoric acid makes the porosity of the surface increase, which can accelerate the migration of pollutants to the surface of the composite material, and is more conducive to the utilization of pollutant migration. As for FTDGC-4 and FTDGC-5, 0.84 mL of phosphoric acid was added to the mixed powders with C/Ti = 0.4 and 0.6, respectively. According to Figure 5, it can be seen that the higher Ti content in the mixed powders had a better photocatalytic effect as the ratio of C/Ti was lowered and the more Ti was exposed after high temperature pyrolysis, the better the photocatalytic effect was. Taken together, the higher the amount of phosphoric acid added in the mixed powder, the higher the content of Ti the better the photocatalytic effect, so that FTDGC-1 has the best effect on TC removal under these five preparation conditions.
Figure 5

Photodegradation efficiency of TC by different photocatalysts.

Figure 5

Photodegradation efficiency of TC by different photocatalysts.

Close modal

The specific surface area and porosity of graphite carbon also affect the adsorption and photodegradation of TC, and graphite carbon with adsorption ability can accelerate the migration of pollutants to the surface of composite materials, especially the graphite carbon with larger porosity, which is more conducive to the utilization of pollutant migration. In addition, the C/Ti ratio of the photocatalytic material also affects the photocatalytic effect, the higher the Ti content in the material, the better the photocatalytic effect, and the higher the C/Ti ratio after pyrolysis at high temperature, the more Ti will be exposed, and the better the photocatalytic effect will be.

When graphitic carbon is combined with TiO2 and different pore sizes, the pore size and structure of the graphitic carbon can impact the performance of the composite photocatalyst. The results of the photodegradation tests on FTDGC-1, FTDGC-4, and FTDGC-5 demonstrate that the addition of graphitic carbon can effectively enhance the adsorption capacity, thanks to an increase in the content of highly conductive graphite, which functions as a photogenerated electron-absorbing cell. This facilitates the transport of electrons to the surface of the charcoal-based material, preventing direct electron–hole pair complexation and improving the photovoltaic performance of the material. As a result, the catalytic efficiency of the material is increased. However, the photocatalytic activity of the composites decreases rapidly with further increases in carbon content, emphasizing the importance of optimizing the carbon content for optimal photocatalytic activity.

Optimization of experimental operation parameters

Seventeen sets of experiments were conducted according to the experimental design of Design Expert 13 software to explore the effects of photocatalyst dosage (A: 3.0, 4.0, and 5.0 g/L), initial TC concentration (B: 5, 10, and 15 mg/L), and solution pH (C: 3, 6, and 9) on the efficiency of TC removal from water by FTDGC. Table 1 shows the results of analysis of variance (ANOVA). The ‘Prob > F’ values of A, B, and C were 0.0004, 0.0007, and 0.0011, respectively, which were less than 0.0500, indicating that A, B, and C had a significant effect on the TC degradation efficiency, and the effect of A was the most significant. The ‘Prob > F’ value for AB was 0.0052 compared to AC and BC, indicating that the interaction between the dosage and the initial concentration had a significant effect on the TC degradation efficiency. The ‘Prob > F’ value of <0.0001 (<0.0500) in this model indicates that the model has a significant effect on the response values under the selected conditions.

Table 1

ANOVA of the response face model

SourceSum of squaresdfMean squareF-valueProb > F
Model 507.76 56.42 38.46 <0.0001 
A – dosage 56.41 56.41 38.45 0.0004 
B – initial concentration 48.39 48.39 32.98 0.0007 
C – pH 41.84 41.84 28.52 0.0011 
AB 23.39 23.39 15.95 0.0052 
AC 4.45 4.45 3.04 0.125 
BC 0.1396 0.1396 0.0951 0.7667 
A2 134.87 134.87 91.93 <0.0001 
B2 94.65 94.65 64.52 <0.0001 
C2 69.36 69.36 47.28 0.0002 
Residual 10.27 1.47   
Lack of fit 4.72 1.57 1.13 0.4363 
Pure error 5.55 1.39   
Cor total 518.03 16    
SourceSum of squaresdfMean squareF-valueProb > F
Model 507.76 56.42 38.46 <0.0001 
A – dosage 56.41 56.41 38.45 0.0004 
B – initial concentration 48.39 48.39 32.98 0.0007 
C – pH 41.84 41.84 28.52 0.0011 
AB 23.39 23.39 15.95 0.0052 
AC 4.45 4.45 3.04 0.125 
BC 0.1396 0.1396 0.0951 0.7667 
A2 134.87 134.87 91.93 <0.0001 
B2 94.65 94.65 64.52 <0.0001 
C2 69.36 69.36 47.28 0.0002 
Residual 10.27 1.47   
Lack of fit 4.72 1.57 1.13 0.4363 
Pure error 5.55 1.39   
Cor total 518.03 16    
Table 2

Degradation rate of TC by several photocatalysts and synthesis of materials

Photocatalyst materialsDegradation timeDegradation rateMaterial moldingMaterial floatsReferences
FTDGC 180 min 90.08% √ √  
S-scheme 0D/2D Co2ZrO5/g-C3N4 (CZO/CN) 180 min 94.8% × × Zhu et al. (2024)  
Z-type MnO2@g-C3N4 180 min 96.97% × × Lu et al. (2024)  
p-n Ag@Ag2O-PbBiO2Br (A@AO-PB) 120 min 87% × × Nazir et al. (2024)  
SnS2/TiO2 90 min 93.4% √ × Ding et al. (2024)  
Photocatalyst materialsDegradation timeDegradation rateMaterial moldingMaterial floatsReferences
FTDGC 180 min 90.08% √ √  
S-scheme 0D/2D Co2ZrO5/g-C3N4 (CZO/CN) 180 min 94.8% × × Zhu et al. (2024)  
Z-type MnO2@g-C3N4 180 min 96.97% × × Lu et al. (2024)  
p-n Ag@Ag2O-PbBiO2Br (A@AO-PB) 120 min 87% × × Nazir et al. (2024)  
SnS2/TiO2 90 min 93.4% √ × Ding et al. (2024)  

The following equation is the obtained empirical formula:
(3)

The ANOVA in Figure S1 shows that the model has a high correlation coefficient (R2 = 0.9802) and indicates a good correlation between the actual and predicted values.

Figure S2 shows the effect of the interaction between the three variables on TC degradation efficiency, and the interaction between the two independent variables had different effects on TC removal. AB (dosage and initial concentration of TC) was 0.0052, indicating that the interaction between dosage and initial concentration of TC had a significant effect on TC removal. AC (dosage and pH) and BC (initial concentration of TC and pH) were 0.125 and 0.7667, respectively, indicating that the effects of AC and BC on TC degradation were not significant. The increase in the initial concentration of the solution caused more TC molecules to be adsorbed by the FTDGC, and the probability of the molecules colliding with the active groups on the surface of the FTDGC increased, so the photodegradation efficiency increased. However, at higher concentrations, the TC molecules may restrict the transmission of light and interfere with the interaction between TC molecules and FTDGC, resulting in a lower rate of desorption of the degradation products from the surface of the material, and there is adsorption competition with TC molecules, so the photodegradation efficiency decreases. Different pH values of the solution affect the surface charge of FTDGC and the morphology of TC molecules, which are positively charged when the pH is acidic and negatively charged when alkaline. Therefore, under acidic and alkaline conditions, FTDGC and pollutants have the same charge and repel each other, which is unfavorable for the contact between catalyst and target pollutants. The model predicted the optimal degradation conditions as follows: the dosage of 4.3 g/L, the initial concentration of 6.65 mg/L, and the pH of 6.95. Under these conditions, the removal efficiency of TC under xenon lamp irradiation for 3 h reached 90.08%.

Photocatalytic oxidation kinetics

Kinetic modeling is used to describe the kinetic equations for the interaction between the substance and the adsorbent during the adsorption process. Figure 6 shows the fitting results of the first-order kinetics in the catalytic degradation of TC by FTDGC. The fitting can obtain the kinetic parameters and regression coefficients of the model, and the R2 is higher than 0.97. The first-order kinetic model fits well with the experimental data, which indicates that the photodegradation process conforms to the first-order kinetics. The rate constants of the five materials were 0.01209, 0.00643, 0.00662, 0.00808, and 0.00921 min−1. Compared with FTDGC-1, the rate constants of FTDGC-4 and FTDGC-5 were relatively low, which indicated that the high graphite content in FTDGC-4 and FTDGC-5 had a photogenerated electron production negative effect. This may be due to the fact that the active sites of TiO2 are not properly exposed to light or active site blockage occurs due to carbon deposition, which leads to a decrease in the production of photogenerated charge carriers and ultimately affects the photocatalytic performance. The rate constant of FTDGC-1 is the best of the five photocatalytic performances, so the photocatalyst prepared under this condition also has the best TC removal effect, and is a promising photocatalyst material for treating TC-containing wastewater.
Figure 6

Kinetic fitting curves for photodegradation of TC by different materials.

Figure 6

Kinetic fitting curves for photodegradation of TC by different materials.

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Changes in pH during TC degradation by FTDGC

An interesting phenomenon was discovered during the degradation of antibiotics in water using this catalyst. Figure 7 shows the variation of different pH values of TC solutions with reaction time. The pH of the FTDGC-TC solution decreased from an initial pH of 9–6.9 and finally to 6.5 within 30 min of light exposure, and a similar decreasing trend was observed for the initial pH of 7 and 11. This may be due to the presence of acidic radicals such as hydroxyl radicals in the material and the possible production of acidic intermediates such as carbamic acid, formic acid, and oxalic acid during the photocatalytic degradation of TC, which allows the degradation of TC by FTDGC to regulate the pH of the solution. However, the solution did not change much when the pH was too high or low, which suggests that there is a certain range of self-regulation of the solution beyond which, the pH of the solution cannot be kept constant. Therefore, within a certain pH range, FTDGC can regulate the change of pH during the degradation of TC, which will save the cost of the subsequent water treatment process. In the photocatalytic degradation of TC, since the pH is in the degradation environment, the effect of the initial pH on the degradation efficiency cannot be considered when actually used in the water purification process.
Figure 7

pH change during the degradation process.

Figure 7

pH change during the degradation process.

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Comparison with commercial photocatalysts and analysis of TOC degradation

We chose the commercial photocatalyst TiO2 to compare with our prepared FTDGC-1, and the results are shown in Figure 8(a). We can see from Figure 8(a) that the commercial photocatalyst TiO2 has almost no effect in the dark reaction stage, while in the beginning of the light reaction stage, the commercial photocatalyst TiO2 shows better performance, and the photocatalytic reaction rate is obviously higher than that of the FTDGC-1 prepared by us. However, the photocatalytic reaction rate of the commercial photocatalyst TiO2 decreases obviously with the change of time from 30 min onwards, and the degradation rate of FTDGC-1 for the FTDGC-1 has a significant difference between the two until after 180 min, and there is a significant difference between the two. However, after 30 min, the photocatalytic reaction rate of TiO2 decreased significantly with the change of time, and after 180 min, the degradation rates of the two photocatalysts were obviously different, and the degradation rate of FTDGC-1 could reach 90% of TC, while the degradation rate of the commercial photocatalyst TiO2 was only 55%. In addition, the photocatalyst carbon spheres prepared by us can still float on the water surface, which is also convenient for recycling in the treated tail water. Our FTDGC can float, which can be applied to the circulation flow of the secondary sedimentation tank, and in combination with sunlight, it accelerates the degradation of wastewater from the secondary sedimentation tank and improves the efficiency of wastewater treatment in wastewater treatment plants.
Figure 8

(a) Degradation of FTDGC-1 vs. commercial TiO2 and (b) comparison of total organic carbon (TOC) removal rates.

Figure 8

(a) Degradation of FTDGC-1 vs. commercial TiO2 and (b) comparison of total organic carbon (TOC) removal rates.

Close modal

The degradation of TOC by both is shown in Figure 8(b). The removal rate of TOC by commercial TiO2 is only about 40%, while the removal rate of TOC by FTDGC-1 reaches 73%, which is a clear advantage compared with commercial TiO2.

Stability of FTDGC

We can see from Table 2 that the degradation of TC with other newly prepared photocatalysts, the reusability of FTDGC-1 was investigated by reusing the photocatalyst sample in five consecutive photocatalytic processes. The removal rates of TC were 90.26, 86.25, 81.67, 76.60, and 72.45% for five consecutive photocatalytic processes, as shown in Figure S3. The degradation efficiency of the material on TC solution showed a slow decreasing trend, but still had a good removal effect after five times of use, which indicated that the material has the advantages of high efficiency, reusability, and good stability, and has potential practical applications in wastewater treatment.

By comparing the degradation of TC with other newly prepared photocatalysts, we found that all of them can degrade about 90% of TC within 3 h, but there are very few molded and floating photocatalysts, which shows our advantage, and our application scenario is clear and suitable for industrial production.

Electrical energy per order

The calculation of electrical energy per order reacts to the reduction of the concentration of organic pollutants by one logarithmic order of the electric power consumption in 1 m3 of wastewater during the water treatment process, and its value can evaluate and compare the efficiency of the energy utilization of different photocatalysts, so as to assess their performances and advantages and disadvantages. Furthermore, it can help researchers understand the input and output of energy in the photocatalytic reaction so as to optimize the reaction conditions and improve the reaction efficiency.

EEO is calculated by the following formula:
(4)
P is the power of the xenon lamp (300 W); t is the operating time of the xenon lamp (3 h); V is the volume of treated sewage (0.001 m2); C0 is the pretreatment pollutant concentration; and C is the treated pollutant concentration.

After calculating the answer is EEO = 389.61. The magnitude of this value also reflects the concept of saving electricity for economic green development in photocatalytic degradation. We will pay more attention to the improvement of light utilization in the future.

In this paper, the molding of floating TiO2 graphitic charcoal and its degradation performance on TC were investigated. Floating titanium dioxide graphitic charcoal spheres had good photodegradation performance on TC in water. Structural and morphological characterization confirmed that the crystal structure on FTDGC is a pure anatase phase, with a uniform layer of TiO2 nanoparticles loaded on a carbon-based surface. We found experimentally that the catalytic effect of different C/Ti catalysts, the greater the influence of the C/Ti ratio of the material on the photocatalytic effect, and the higher the Ti content, the better the photocatalytic effect. This may be that the combination of GC and TiO2 makes the effect better. The FTIR and XPS peaks clearly indicate the generation of the Ti–C–Ti valence bond and the further enhancement of the Ti–C–O bond generated on the carbon-based material and TiO2 surface. The removal efficiency of TC reached 90.08% by irradiation with xenon lamp for 3 h at the dosage of 4.5 g/L in the reaction system. The degradation process has a self-regulating effect on the pH value of the wastewater within a certain range, which greatly avoids further acid-base adjustment of the wastewater. The recycling experiments showed that FTDGC still had a good degradation ability for TC after five times of reuse. Our advantage over other literature is that the application scenarios are clearer and the green economy is environmentally friendly and recyclable. The floatable nature of FTDGC can be utilized in open-air oxidation ditches to efficiently remove pollutants from wastewater by combining hydrodynamic drive with sunlight. Our next steps are centered on developing more floatable photocatalysts and developing different materials for transporting more solid wastes. In conclusion, the successful preparation of FTDGC composite photocatalysts provides a new route for efficient TC removal. It also follows the principle of green chemistry, provides low-cost for large-scale production, and is in line with China's dual-carbon policy.

This project is supported by a special fund of Henan Key Laboratory of Water Pollution Control and Rehabilitation Technology (CJSZ2024009) and funded by the Henan Provincial Joint Fund (232103810070).

Z.W. developed the software, rendered support in formal analysis, validated and investigated the whole process, wrote the original draft. H.C. rendered support in funding acquisition, supervised the work, wrote the review and edited the article, and developed the project administration. K.Z. developed the software, rendered support in data curation. B.Z. and K.Z. supervised the work and developed the project administration. H.Z. and W.H. rendered support in data curation. All authors have read and agreed to the published version of the manuscript.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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Supplementary data