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Abstract

Metal (Fe) and nonmetal (P) were used to modify TiO₂, and then, several functional groups such as P-O, P=O, Fe-O, and -OH were introduced on its surface to enhance the adsorption capacity for Cd(II), which could reach 121 mg/g. According to the experimental analysis of adsorption performance, chemical adsorption dominates the adsorption process, and the adsorption capacity increases with increasing temperature within a certain range. The results of competitive adsorption experiments showed that both Pb(II) and Cu(II) affect the adsorption of Cd(II) and that the adsorption order of P-Fe-TiO₂ for heavy metal ions is $Pb (II) > Cd (II) > Cu (II)$ . We further investigated the adsorption mechanism of P-Fe-TiO₂ for Cd(II) and the reasons for the difference in competitive adsorption and used DFT calculations to confirm the experimental results. In the analysis of binding energy and frontier molecular orbitals (FMOs), we confirmed that charge transfer occurred during the adsorption process, so chemical reactions occurred. The binding energy of P-Fe-TiO₂ and Pb(II) is the largest. The results of the competitive adsorption experiment also confirmed that the adsorbent has the greatest effect on Pb. Mulliken analysis was used to identify the best binding site on the adsorbent. The results of electrostatic potential, total potential, and differential charge analysis further prove the conclusions described above.

1. Introduction

Water pollution by heavy metals is a serious environmental problem endangering human health [1–3]. At present, wastewater from many industries, such as the metallurgical, mining, chemical, and manufacturing industries, contains a variety of toxic heavy metal ions. Among these ions, cadmium (Cd) causes the most serious pollution [4]. Cd is easily enriched in organisms and is difficult to degrade. Long-term exposure to excessive amounts of Cd can cause damage to the human kidney and liver and may even cause carcinogenic and teratogenic lesions [5]. For this reason, various high-efficiency water treatment technologies, such as chemical precipitation, ion exchange, flotation, membrane filtration [6], electrochemical treatment [7], coagulation-flocculation, and adsorption, are used to remove Cd(II) [8]. Compared with other methods, the adsorption method has the advantages of high efficiency, excellent performance, easy operation, low cost, and environmental friendliness [9].

In the adsorption method, the choice of adsorbent is particularly important. In recent years, TiO₂ nanomaterials have been used in the field of sewage treatment because of their environmental friendliness, high stability, and low price [10, 11]. Although TiO₂ has been widely used in photocatalytic materials, it also has great potential for use in adsorption. Researchers have successfully prepared a variety of high-specific-surface-area nano-TiO₂ materials for the adsorption of heavy metal ions [12–14]. Wu et al. [15] used the hard template method to prepare bean-shaped TiO₂ with a maximum adsorption capacity of 10 mg/g for heavy metals. Wang et al. [16] prepared TiO₂ nanotubes with a maximum adsorption capacity of 50.95 mg/g. Liu et al. [17] prepared TiO₂ nanotubes containing a large amount of hydroxyl groups with a maximum adsorption capacity of 67 mg/g. The specific surface area and functional groups are two important factors that can affect the adsorption capacity of TiO₂. Therefore, it is necessary to synthesize TiO₂ adsorption materials with a high specific surface area and rich functional groups. In a previous study, Zhang et al. [18] prepared Fe-doped TiO₂ metal oxide materials to remove Cu(II) in wastewater, and the adsorption removal rate was as high as 88.54%. Peng et al. [19] prepared phosphoric acid-modified TiO₂, a nonmetal oxide adsorbent, with an adsorption capacity of 92 mg/g for Cr (III). The modification of TiO₂ with metal oxides and nonmetal oxides can introduce functional groups and increase its specific surface area, increasing the adsorption capacity, but the adsorption and removal of heavy metal ions by TiO₂ modified by loading with a single metal or nonmetal are still limited, so we used a combination of a metal and nonmetal to modify TiO₂ and investigated the adsorption performance of the resulting material. In this study, potassium dihydrogen phosphate and ferric chloride were used to modify TiO₂. The resulting adsorbent has good adsorption capacity for Cd(II), Pb(II), and Cu(II). The adsorption behavior was also confirmed by DFT calculations.

2. Materials and Methods

2.1. Materials and Chemicals

Raw TiO₂ was purchased from a company in Guangzhou, China. All chemicals (analytical reagent grade) were purchased from Chemical Reagent Co., Ltd. (Guangzhou, China) and were employed without any further purification. The required concentration of Cd(II) aqueous solution was prepared by mixing an appropriate quantity of cadmium nitrate tetrahydrate crystals and deionized water. The initial pH of each solution was adjusted by the addition of diluted HNO₃ or NaOH solution.

2.2. Preparation

Initially, 0.8 mol·L^-1 KH₂PO₄ and 1.5 mol·L^-1 FeCl₃ solutions were prepared for later use. Second, 10 g raw TiO₂ was weighed into a beaker, 140 mL of prepared KH₂PO₄ solution and 100 mL of FeCl₃ solution were added, and the mixture was stirred at 25°C for 1 h. Afterwards, the pH of the solution was adjusted to approximately 9.5, and the solution was aged for 2 h. The solution was subjected to suction filtration until no excess water was present, rinsed with deionized water three to five times, washed until the material was neutral, filtered, dried, and ground through a 100-mesh sieve. The resulting material was denoted as P-Fe-TiO₂ and stored in a vacuum-sealed bag.

2.3. Characterization

Scanning electron microscopy (SEM, Hitachi S-3400N, Japan) and energy-dispersive spectrometry (EDS, INCA ENERGY 350, UK) were used to observe the microscopic surface morphology of the TiO₂ materials and determine the element content. The specific surface area, average pore size, and total pore volume were measured using BET (Micromeritics ASAP 2460, USA). FTIR spectra of the materials were obtained in the wavenumber range from 600 to 4000 cm^-1 on a Fourier transform infrared (FTIR) spectrophotometer (Thermo Nicolet 6700, USA) with the KBr pellet technique at room temperature. X-ray photoelectron spectroscopy (XPS, Thermo Scientific ESCALAB 250Xi, USA) was used to determine the element composition and peak valence states of the sample surface and other information. The XPS data were collected with a monochromatic Al K alpha source operated at 230 W and fitted using XPSPEAK software. X-ray diffractometry (XRD) was performed from 10 to 80° on an X-ray diffractometer (D/max-IIIA, Rigaku, Japan) with filtered Cu Kα radiation generated at 45 kV and 40 mA.

2.4. Cd(II) Adsorption Study

Cd(NO₃)₂·4H₂O crystals and deionized water were used to prepare a Cd(II) solution with a concentration of 100 mg/L. To determine the optimal pH, 0.02 g of TiO₂ and P-Fe-TiO₂ were weighed into a 10 mL Erlenmeyer flask, Cd(II) solution adjusted to pH 2, 4, 5, 6, or 8 was added, and the mixture was shaken at 25°C for 3 h. Under the above conditions, 10°C, 25°C, and 40°C were selected for the adsorption process. Single and composite mixed solutions of 0, 20, 50, and 100 mg/L Pb(II) and Cu(II) were prepared in 100 mg/L Cd(II) solution. The other experimental conditions were the same as above, and heavy metal competitive adsorption experiments were carried out. Finally, atomic absorption spectroscopy (Model AA7000, Shimadzu, Japan) was used to determine the concentration of heavy metal ions in the solution after adsorption equilibrium. Three parallel samples were set for each sample. The calculation equations for the adsorption rate ( $A$ ) and adsorption capacity ( $q_{t}$ ) are as follows: $\begin{matrix} (1) & A = \frac{C_{0} - C_{t}}{C_{0}} \times 100 %, \\ (2) & q_{t} = \frac{(C_{0} - C_{t}) \times V}{M} . \end{matrix}$

$C_{0}$ is the concentration of heavy metal ions in the initial solution (mg/L), $C_{t}$ is the concentration of heavy metal ions in the filtrate after adsorption for a certain period of time (mg/L), $V$ is the volume of the solution (L), and $M$ is the adsorbent dosage (g).

Under the abovementioned optimal conditions, 250 mL and 400 mg/L Cd(II) solutions were prepared, and 0.5 g of the P-Fe-TiO₂ or TiO₂ material was weighed into a 250 mL Erlenmeyer flask and oscillated at 10, 25, and 40°C. The materials were treated for 3 hours at a speed of 180 r·min^-1, and samples were taken at different time points, after which the amount of heavy metal adsorption was calculated according to equation (2). The experimental results were fitted with a pseudo-first-order kinetic model and a pseudo-second-order kinetic model.

The pseudo-first-order kinetic model is based on the assumption that the adsorption process is mainly affected by the diffusion step, and the expression is shown in equation (3)[20] $\begin{matrix} (3) & \log (q_{e} - q_{t}) = \log q_{e} - \frac{K_{f}}{2.303} t . \end{matrix}$

The pseudo-second-order kinetic model assumes that the square of the number of vacancies not occupied by the adsorbent on the surface of the adsorbent determines the adsorption rate, and the expression is shown in equation (4)[21] $\begin{matrix} (4) & \frac{t}{q_{t}} = \frac{1}{K_{2} q_{e}^{2}} + \frac{t}{q_{e}} . \end{matrix}$ $q_{e}$ is the amount of adsorption at adsorption equilibrium (mg/g), $q_{t}$ is the amount of adsorption at time $t$ (mg/g), $K_{f}$ is the pseudo-first-order rate constant, and $K_{2}$ is the pseudo-second-order rate constant.

Cd(II) solutions with concentrations of 10, 50, 100, 200, 300, and 500 mg/L were prepared. A total of 0.02 g P-Fe-TiO₂ or TiO₂ was added to an Erlenmeyer flask, and different concentrations of Cd(II) solution were added; the other reaction conditions were the same as above. The adsorption capacity was calculated according to equation (1), and the Langmuir and Freundlich adsorption isotherm models were fitted to the experimental results, as shown in equations (5) and (6), respectively [22]. $\begin{matrix} (5) & \frac{C_{e}}{q_{e}} = \frac{C_{e}}{q_{m}} + \frac{1}{K_{L} q_{m}}, \\ (6) & \log q_{e} = \frac{\log C_{e}}{n} + \log K_{F}, \end{matrix}$ where $c_{e}$ is the adsorption equilibrium concentration of metal ions in the solution (mg/L), $K_{L}$ is the Langmuir constant (L/mg), $q_{m}$ is the saturated adsorption capacity, $1 / n$ is the adsorption strength, and $K_{F}$ is the Freundlich constant (L/mg).

The Gibbs free energy ( $∆ G$ ), enthalpy ( $∆ H$ ), and entropy ( $∆ S$ ) can be calculated from equations (7), (8) (9) and (10) [23] $\begin{matrix} (7) & K_{D} = \frac{q_{e}}{c_{e}}, \\ (8) & ∆ G = - R T \ln K_{D}, \\ (9) & ∆ G = ∆ H - T ∆ S, \\ (10) & \ln K_{D} = \frac{∆ S}{R} - \frac{∆ H}{R T}, \end{matrix}$ where $T$ is temperature (K) and $K_{D}$ is the distribution coefficient (mL g⁻¹). The enthalpy change ( $∆ H$ ) and the entropy ( $∆ S$ ) can be calculated from a plot of $\ln K_{D}$ versus $1 / T$ .

2.5. DFT Calculations

The adsorption mechanism of P-Fe-TiO₂ on Cd(II) can be simulated by spin-polarized density functional theory (DFT). The Dmol3 software package in Materials Studio 2017 R2 was used to perform quantum molecule (QM), molecular orbital (MO), and Mulliken and binding energy analysis with quantum chemical calculation methods based on the first principles and DFT. The atomic center grid was used for atomic basis functions, the electron basis set was dual numerical polarization (DNP 3.5), and all electron methods were used as core processing methods. Both the generalized gradient correction (GGA) and Perdew-Burke-Ernzerhof (PBE) functions were used to describe electron exchange interactions. A conductor-like shield model (COSMO) with a dielectric constant of 78.54 (water) was used in the simulation. To make the fitting more accurate, the tolerances of energy, force, and displacement were set to $1.0 \times 10^{- 5} Ha$ , $2 \times 10 - 3 Ha Å^{- 1}$ , and $5 \times 10^{- 3} Å$ , respectively. In addition, the adsorption binding energy on P-Fe-TiO₂ was calculated according to Equation (11). $\begin{matrix} (11) & E = E_{(a b)} - E_{(a)} - E_{(b)}, \end{matrix}$ where $E_{(a b)}$ is the total adsorption binding energy of the adsorption complex and $E_{(a)}$ and $E_{(b)}$ are the total energy of the adsorbent and the adsorbate, respectively. The greater the absolute value of $E$ is, the stronger the binding between the adsorbate and the adsorbent.

3. Results and Discussion

3.1. SEM-EDS and BET Analysis

As shown in Figure 1, TiO₂ has more surface impurities than P-Fe-TiO₂, which may block adsorption pores. In contrast, the structure of P-Fe-TiO₂ is fluffier, and the surface of the material is loaded with many particles, which increases its specific surface area; this particle loading indicates that phosphoric acid groups were successfully loaded on the surface of TiO₂. The surface roughness of the adsorbed P-Fe-TiO₂-Cd was obviously reduced, which proves that the adsorption process proceeded smoothly [24]. As expected, the Brunauer-Emmett-Teller (BET) characterization results showed that the specific surface area, average pore size, and total pore volume were 51.66 m²/g, 15.7 nm, and 0.0021 cm³/g for TiO₂ and 54.19 m²/g, 8.73 nm, and 0.0037 cm³/g for P-Fe-TiO₂. P-Fe-TiO₂ thus provides a larger contact area to promote physical adsorption. In addition, the EDS analysis results showed that the P content increased from 0% to 9.35% after modification and the content of Cd increased from 0% to 11.71% after adsorption, which means that phosphorus-containing groups were successfully loaded onto the TiO₂ surface and that P-Fe-TiO₂ has a good adsorption effect for Cd(II). Compared with the Fe content of TiO₂, the Fe content of P-Fe-TiO₂ also increased significantly, indicating that iron was also successfully loaded on the surface of TiO₂, providing the modified material with magnetic properties.

Figure 1

SEM images and EDS spectra of TiO₂, P-Fe-TiO₂, and P-Fe-TiO₂-Cd with EDS elemental distribution mapping images of P for P-TiO₂ and Cd for P-TiO₂-Cd.

3.2. FTIR and XRD Analysis

The FTIR characterization results of TiO₂, P-Fe-TiO₂, and P-Fe-TiO₂-Cd are shown in Figure 2(a). The three materials all have a -OH group stretching vibration peak at 3396 cm^-1 and a -OH group characteristic peak at 1630 cm^-1 [25]. The peak at 400~800 cm^-1 is the characteristic peak of Ti-O-Ti stretching vibrations [26]. In P-Fe-TiO₂, the characteristic peak of νP-O in P-O-H appeared near 2890 cm^-1 [27]. In addition, new characteristic peaks appeared at 900-1700 cm^-1, confirming the presence of phosphorus-containing groups. For example, the band at 1640 cm^-1 was attributed to δP-OH [28]. In the modified material, the characteristic peak appearing near 1035 cm^-1 is the stretching vibration peak of Ti-O-P [29]. This result shows that potassium dihydrogen phosphate and titanium dioxide are connected by O atoms, which confirms the introduction of P-O functional groups. In addition, the characteristic peak of P=O appeared at 1080 cm^-1 [30]. However, there is no characteristic peak between 700 and 800 cm^-1, so there are no P-P bonds in P-Fe-TiO₂. The characteristic peak of Fe-O appeared at 588 cm^-1, indicating that Fe was successfully loaded on P-Fe-TiO₂ [31]. This result shows that iron trichloride and titanium dioxide are connected by O atoms, confirming the introduction of Fe-O functional groups. The results of XRD characterization analysis are shown in Figure 2(b). The XRD diffraction patterns of TiO₂, P-Fe-TiO₂, and P-Fe-TiO₂-Cd all match the corresponding standard card (JCPDS No. 21-1272), and there are no obvious impurity peaks, indicating that the structure is anatase TiO₂ [32]. The intensities of the XRD diffraction peaks of P-Fe-TiO₂ and P-Fe-TiO₂-Cd are weaker than those of TiO₂, indicating that the introduction of phosphorus-containing groups reduced the crystallinity of TiO₂ [33].

Figure 2

(a) FTIR spectra and (b) XRD patterns of TiO₂, P-Fe-TiO₂, and P-Fe-TiO₂-Cd.

(b)

3.3. XPS Analysis

The XPS spectra of P-Fe-TiO₂ and P-Fe-TiO₂-Cd are shown in Figure 3. In the total spectrum (Figure 3(a)), P-Fe-TiO₂-Cd has characteristic Cd peaks (Figure 3(b)) at 405.35 eV (Cd_5/2) and 412.09 eV (Cd_3/2), indicating that P-Fe-TiO₂ can successfully adsorb Cd(II). Moreover, the characteristic peak of P 2p appeared near 133 eV, indicating that P exists in the pentavalent state (P⁵⁺) in P-Fe-TiO₂ and P-Fe-TiO₂-Cd (Peng and Du et al., 2020). However, there is no peak for P at a binding energy of 218.16 eV, so there are no Ti-P bonds in P-Fe-TiO₂ [34]. The Fe 2p pattern of P-Fe-TiO₂ is mainly composed of Fe 2p_3/2 and Fe 2p_1/2, as shown in Figures 3(c) and 3(d). The peak near 711 eV in Fe 2p_3/2 belongs to Fe-OH or Fe-O, which adsorb Cd(II), and the characteristic peak positions of Fe-OH and Fe-O of P-Fe-TiO₂-Cd changed after adsorption [35]. After adsorption, the peak positions and areas of P 2p_3/2 and P 2p_1/2 of P-Fe-TiO₂-Cd changed accordingly (Figures 3(e) and 3(f)), which indicates that the addition of phosphorus-containing groups is beneficial to the complexation of Cd [36].

Figure 3

XPS spectra of P-Fe-TiO₂ and P-Fe-TiO₂-Cd: (a) wide scan, (b) Cd 3d, (c) Fe 2p of P-Fe-TiO₂, (d) Fe 2p of P-Fe-TiO₂-Cd, (e) P 2p of P-Fe-TiO₂, and (f) P 2p of P-Fe-TiO₂-Cd.

(b)

(c)

(d)

(e)

(f)

3.4. Effects of pH Value and Coexisting Heavy Metal Ions and Adsorption Isotherms

The pH value of the solution will affect the charge and stability of the functional groups on the surface of an adsorbent material, thereby affecting its adsorption performance [37]. As shown in Figure 4(a), when the pH is 2.0, the two materials basically have no adsorption effect. This is because in an acidic environment, a large amount of H⁺ will generate H₃O⁺ and bind to the surface of the adsorbent, leading to the protonation of adsorption sites; furthermore, the surface is positively charged, so Cd(II) cannot closely approach the adsorption site due to electrostatic repulsion and therefore cannot undergo adsorption. With increasing pH, the adsorption capacity of P-Fe-TiO₂ on Cd(II) first increased, tended towards equilibrium, and then decreased, and a pH greater than 4 was conducive to the adsorption of Cd(II), which was similar to the experimental conclusions of Yao et al. [38]. This trend was observed because an appropriate amount of -OH groups can promote an increase in adsorption capacity. Some Cd(II) combines with OH^- to form Cd(OH)⁺. On the one hand, Cd(OH)⁺ formation will reduce the charge on the surface of the material and weaken electrostatic repulsion; on the other hand, Cd(OH)⁺ helps to improve the binding capacity of the adsorption sites for Cd(II) [39]. However, when the pH of the solution reaches 8.0, a large amount of Cd(OH)⁺ is produced and continues to form Cd(OH)₂ precipitation with OH^-, so the adsorption capacity will decrease. Since a certain amount of -OH can promote the adsorption process, 6.0 was used as the solution pH for the remaining adsorption experiments. As shown in Figures 4(b) and 4(c) and Table 1, the Freundlich and Langmuir adsorption isotherm models were used to fit the adsorption behavior of TiO₂ and P-Fe-TiO₂ for Cd(II). The experimental data fit more closely to the Langmuir equation, and the correlation $R^{2} > 0.98$ . Therefore, the adsorption of Cd(II) by P-Fe-TiO₂ involves typical monolayer adsorption [40]. According to the fitting results, the theoretical maximum adsorption capacity of P-Fe-TiO₂ reached 83.3 mg/g. Moreover, the adsorption capacity of P-Fe-TiO₂ is significantly higher than that of some existing TiO₂ materials, such as TiO₂ beads (10 mg/g) [15], TiO₂ nanotubes (50.95 mg/g) [15], and mesoporous phosphated TiO₂ (92 mg/g) [19]. The competitive adsorption of Pb(II) and Cu(II) single metals and composite metals with Cd(II) is shown in Figures 4(d)–4(f). From the figure, as the concentration of competing metal ions increases, the adsorption capacity of P-Fe-TiO₂ for Cd(II) gradually decreases, and the adsorption capacity for Pb(II) and Cu(II) gradually increases. Overall, the adsorption capacity follows the order $Pb (II) > Cd (II) > Cu (II)$ . This order corresponds to the radii of the metal ions and their electronegativity [41]. Compared with Cd (1.69) and Cu (0.73), Pb has greater electronegativity (2.33) [42], and the ionic radius of Pb (1.2 Å) is larger than that of Cd (0.95 Å) but smaller than that of Cu (1.9 Å) [43]. Therefore, it is speculated that electronegativity is the most important factor affecting the competitive adsorption process.

Figure 4

(a) Effects of pH; (b) Langmuir adsorption isotherm model; (c) Freundlich adsorption isotherm model; (d) influence of Pb(II) competitive adsorption; (e) influence of Cu(II) competitive adsorption; (f) effect of Pb(II) and Cu(II) competitive coadsorption.

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Table 1

Parameters of adsorption isotherm models.

Sample	Langmuir model			Freundlich model
Sample	$q_{\max}$ (mg/g)	$K_{L}$ (L/mg)	$R^{2}$	$K_{F}$ (mg^1-n L ⁿ /g)	$n$	$R^{2}$
P-Fe-TiO₂	83.33	-0.15	0.985	50.93	8.90	0.338
TiO₂	1.24	0.01	0.978	0.12	2.75	0.828

3.5. Adsorption Kinetics

The adsorption kinetics data of P-Fe-TiO₂ and TiO₂ at the initial concentration of 100 mg/L and 400 mg/L were fitted with the pseudo-first-order kinetic model and pseudo-second-order kinetic model, and the fitting results are shown in Figure 5 and Table 2. The fitting results of the experimental data are consistent with the pseudo-first-order kinetic model and pseudo-second-order kinetic model, indicating that chemical adsorption and physical adsorption are the rate control steps of P-Fe-TiO₂ adsorption of Cd(II) [44]. The reason for physical adsorption is the increase with the surface area of the adsorbent after modification, and the introduction of functional groups is the reason for chemical adsorption. As the temperature increases, the adsorption capacity of P-Fe-TiO₂ gradually increases, indicating that increasing the temperature helps to improve the adsorption performance. TiO₂ and phosphoric acid groups will stack into a disordered network structure of -P-O-Ti-O-, and this structure will undergo a certain degree of hydrolysis in aqueous solution [19] and introduce P-O functional group modification at the same time. In the same way, modification with FeCl₃ will introduce Fe-O functional groups into the modified material (Zhang and [18]). The introduction of functional groups was confirmed in the FTIR analysis; these functional groups can promote chemical adsorption. The increase of the specific surface area is conducive to the occurrence of physical adsorption and also promotes the action of electrostatic attraction, as shown in the SEM and BET characterization analysis above. The kinetic fitting analysis results at different temperatures show that the adsorption capacity of the modified material is affected by temperature, so we further analyzed and investigated the thermodynamic properties; the analysis results that initial concentration is 400 mg/L are shown in Table 3. From the data in Table 3, $∆ G$ is negative, which indicates that the adsorption process of P-Fe-TiO₂ on Cd(II) is spontaneous, and the value of $∆ G$ decreases with increasing temperature. This result shows that increasing temperature is beneficial to the adsorption process. A positive value of $∆ H$ indicates that the adsorption process is endothermic. A positive value of $∆ S$ indicates an increase in entropy during the adsorption process, indicating an increase in the disorder of the adsorption system [45]. To further explore the adsorption mechanism of P-Fe-TiO₂ for Cd(II), as well as the observed competitive adsorption effect of Pb(II) and Cu(II) on Cd(II), we used DFT calculations to verify the experimental results.

Figure 5

Fitting of pseudo-first-order kinetic and pseudo-second-order kinetic models to TiO₂ and P-Fe-TiO₂ data at (a) 10°C, (b) 25°C, and (c) 40°C with the initial concentration of 100 mg/L and at (d) 10°C, (e) 25°C, and (f) 40°C with the initial concentration of 400 mg/L.

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Table 2

Kinetic parameters of P-Fe-TiO₂ and TiO₂ at different temperatures and initial concentrations.

		10°C			25°C			40°C
100 mg/L	Sample	Pseudo-first-order kinetics
	Sample	$q_{e 1}$	$K_{1}$	${R_{1}}^{2}$	$q_{e 1}$	$K_{1}$	${R_{1}}^{2}$	$q_{e 1}$	$K_{1}$	${R_{1}}^{2}$
	P-Fe-TiO₂	57.5	$1.32 E^{14}$	1	56.9	0.179	0.999	59.4	0.022	0.992
	TiO₂	1	1.663	1	1	1.663	1	1	1.663	1
		Pseudo-second-order kinetics
		$q_{e 2}$	$K_{2}$	${R_{2}}^{2}$	$q_{e 2}$	$K_{2}$	${R_{2}}^{2}$	$q_{e 2}$	$K_{2}$	${R_{2}}^{2}$
	P-Fe-TiO₂	57.5	$1.53 E^{11}$	1	57.1	0.086	0.999	67.3	0.181	0.966
	TiO₂	1	$2.48 E^{12}$	1	1	$6.19 E^{12}$	1	1	$1.92 E^{12}$	1

400 mg/L	Sample	Pseudo-first-order kinetics
	Sample	$q_{e 1}$	$K_{1}$	${R_{1}}^{2}$	$q_{e 1}$	$K_{1}$	${R_{1}}^{2}$	$q_{e 1}$	$K_{1}$	${R_{1}}^{2}$
	P-Fe-TiO₂	92.5	0.049	0.945	119.5	0.010	0.998	121	0.026	0.940
	TiO₂	1	1.663	1	1	1.663	1	1	1.663	1
		Pseudo-second-order kinetics
		$q_{e 2}$	$K_{2}$	${R_{2}}^{2}$	$q_{e 2}$	$K_{2}$	${R_{2}}^{2}$	$q_{e 2}$	$K_{2}$	${R_{2}}^{2}$
	P-Fe-TiO₂	92.5	0.002	0.979	119.5	0.026	0.998	121	0.117	0.981
	TiO₂	1	$8.15 E^{11}$	1	1	$2.11 E^{12}$	1	1	$8.15 E^{11}$	1

Table 3

Adsorption thermodynamic parameters of Cd(II) on P-Fe-TiO₂ at 400 mg/L of initial concentrations.

$T$ (K)	$∆ G$ (kJ·mol^-1)	$∆ H$ (kJ·mol^-1)	$∆ S$ (J·mol^-1·K^-1)
283	-0.38	13.09	47.56
298	-0.92
313	-1.62

3.6. DFT Calculations

3.6.1. Binding Energy and HOMO LUMO (FMO) Analysis

The binding energies of Cd(II) with TiO₂ and of P-Fe-TiO₂ with Cd(II), Pb(II), and Cu(II) are shown in Table 4. From the table, binding energy is positively correlated with the absolute value of $E_{(a b)}$ . The larger the absolute value of $E_{(a b)}$ is, the stronger the binding between the adsorbate and the adsorbent [27, 46]. The binding energy of TiO₂ for Cd(II) is almost just half than that of the modified material (P-Fe-TiO₂), so P-Fe-TiO₂ exhibits improved adsorption of Cd(II) owing to its modification with a combination of a metal, a nonmetal, and associated functional groups, which greatly improves the binding energy between the adsorbent and the heavy metal. In addition, the binding capacity of P-Fe-TiO₂ for Pb(II) is the strongest, followed by that for Cd(II), and the weakest binding capacity is that for Cu(II), which is in line with the results of the competitive adsorption experiment (Figure 4(f)). To further study the differences in adsorption among different heavy metals, we performed calculation fitting analysis on the HOMO and LUMO of Cd(II), Pb(II), and Cu(II) with P-Fe-TiO₂, as shown in Figure 6. The HOMO energy indicates the ability to contribute electrons, and the LUMO energy indicates the ability to accept electrons; the HOMO and LUMO, frontier molecular orbitals (FMOs), can determine the direct binding mode of adsorbents and adsorbed heavy metals and indicate stability and reactivity [47]. As seen from the figure, the LUMO of P-Fe-TiO₂ in P-Fe-TiO₂-Cd and P-Fe-TiO₂-Cu is transferred to Cd(II) and Cu(II), and some of the HOMOs of P-Fe-TiO₂ in P-Fe-TiO₂-Pb and P-Fe-TiO₂-Cu are transferred to Pb(II) and Cu(II), which shows that there is charge transfer between the three heavy metal ions and P-Fe-TiO₂. This finding is in agreement with the experimental results, in which Pb(II) and Cu(II) have a great influence on the adsorption process of Cd(II). A chemical adsorption effect clearly exists in the adsorption of Cd(II), which also shows that the kinetic results match the pseudo-second-order kinetic equation best. P-Fe-TiO₂-Cd, P-Fe-TiO₂-Pb, and P-Fe-TiO₂-Cd have a smaller energy gap between the HOMO and LUMO than does P-Fe-TiO₂. A smaller energy gap indicates that the corresponding conjugate is more stable [48], which shows that the structure of P-Fe-TiO₂ is more stable after being combined with heavy metal ions. In addition, the Mulliken charge analysis proved that the best binding site for heavy metal ions is the O atom bridging P and Fe because it has the strongest negative charge (i.e., the O atom with a -0.791C charge in Figure 7(b), the O atom with a -0.772C charge in Figure 7(c), and the O atom with a -0.757C charge in Figure 7(d)) and has the greatest attraction to heavy metal ions (Zhang and Zheng et al., 2021b), as shown in Figure 7. The surrounding negatively charged oxygen atoms also have a certain binding effect, as also confirmed by the FTIR and XPS analyses. The adsorption of Cd(II) by P-Fe-TiO₂ is greatly influenced by P-O, P=O, Fe-O, and -OH groups.

Table 4

Binding energies of Cd(II) with a single adsorbent and the binding energy of P-TiO₂ with Cd(II), Pb(II), and Cu(II).

Samples	$E_{(a)}$ (Ha)	$E_{(b)}$ (Ha)	$E_{(a b)}$ (Ha)	BE (kcal/mol)
TiO₂+Cd	-999.75	-5466.58	-6466.63	62.75
P-Fe-TiO₂+Cd	-2982.54	-5466.58	-8449.25	81.58
P-Fe-TiO₂+Pb	-2982.54	-19527.41	-22510.18	144.33
P-Fe-TiO₂+Cu	-2982.54	-1639.73	-4622.38	69.03

Figure 6

Orbital diagrams of the HOMOs and LUMOs of P-Fe-TiO₂, P-Fe-TiO₂-Cd, P-Fe-TiO₂-Pb, and P-Fe-TiO₂-Cu.

Figure 7

Mulliken charge population analysis of (a) P-Fe-TiO₂, (b) P-Fe-TiO₂-Cd, (c) P-Fe-TiO₂-Pb, and (d) P-Fe-TiO₂-Cu.

3.6.2. MEP Analysis

Molecular electrostatic potential (MEP) analysis plays an important role in finding the reaction sites of adsorbents and adsorbed heavy metals and judging the nucleophilicity (positive charge) and electrophilicity (negative charge) of electron positions [49, 50]. The MEP analysis of P-Fe-TiO₂, P-Fe-TiO₂-Cd, P-Fe-TiO₂-Pb, and P-Fe-TiO₂-Cu is shown in Figure 8. In the figure, blue regions represent the MEP positions with the largest positive values, and red regions represent the MEP positions with the smallest negative values [51]. From the figure, the red areas are essentially concentrated near the groups containing Fe and P, indicating that these areas are more electrophilic. Therefore, positively charged Cd(II), Pb(II), and Cu(II) are more likely to be attracted by the charges at these sites. This finding is also consistent with the Mulliken and FMO analytical results. In the binding energy analysis, the binding energy of P-Fe-TiO₂-Pb is the largest, followed by P-Fe-TiO₂-Cd, and P-Fe-TiO₂-Cu is the smallest. In the MEP diagram (Figure 8), P-Fe-TiO₂-Cu has the smallest color difference between red and blue, and the image of P-Fe-TiO₂-Pb and P-Fe-TiO₂-Cd can see the obvious difference between blue and red. It shows that the distinction between positive and negative charges is more obvious, so the binding effect is stronger, which is consistent with the experimental results. A comparison of the MEP diagrams before and after the adsorption of Cd(II), Pb(II), and Cu(II) shows that the addition of heavy metal ions increases the positivity of P-Fe-TiO₂, indicating that P-Fe-TiO₂ is affected by electrostatic effects on Cd(II), Pb(II), and Cu(II).

Figure 8

MEP images of P-Fe-TiO₂, P-Fe-TiO₂-Cd, P-Fe-TiO₂-Pb, and P-Fe-TiO₂-Cu.

3.6.3. Total Electron Density and Differential Charge Analysis

The previous analysis shows that electron sharing or electron exchange is involved in the adsorption process. Therefore, the adsorption mechanism at the electron level was further studied through the calculation and analysis of the total electron density and the differential charge. The total electron density map and the differential charge map of P-Fe-TiO₂ and various metal ions are shown in Figure 9. The figure shows the degree of electron cloud overlap between P-Fe-TiO₂ and heavy metal ions and the degree of their binding ability. As the color changes from blue to red, the charge density continues to increase and the binding ability continues to strengthen [52]. The differential charge shows the donation (red part) and acceptance (blue part) of charge between P-Fe-TiO₂ and heavy metal ions [53]. From Figures 9(a), 9(c), 9(e), and 9(g), it can be seen that the degree of coincidence between the electron clouds of Pb(II) and P-Fe-TiO₂ is higher than that of Cd(II) and Cu(II). Therefore, the affinity of Pb(II) to P-Fe-TiO₂ is the strongest and that of Cu(II) is the weakest [53]. The results are consistent with the results of FMO and MEP analysis. The above relationship can also be explained by differential charge simulation images (Figures 9(b), 9(e), and 9(h)). Compared with Cd(II) and Cu(II), Pb(II) has a stronger electron capacity, and more Pb(II) than Cu(II) is adsorbed in competitive adsorption.

Figure 9

Analysis of total electron density and differential charge for P-Fe-TiO₂, P-Fe-TiO₂-Cd, P-Fe-TiO₂-Pb, and P-Fe-TiO₂-Cu; (a, c, e, g) the total electron density; (b, d, f, h) the differential charge; (1) is the color legend for total electron density, and (2) is the color legend for differential charge.

4. Conclusion

In summary, we used KH₂PO₄ and FeCl₃ to successfully modify TiO₂ with metal and nonmetal composites and introduced P-O, P=O, Fe-O, and -OH groups. The experimental adsorption kinetic results show that the adsorption process of P-Fe-TiO₂ for Cd(II) is mainly controlled by chemical adsorption and physical adsorption, and the maximum adsorption capacity can reach 121 mg/g. In the competitive adsorption experiment, both Pb(II) and Cu(II) affected the adsorption of Cd(II). The adsorption order of P-Fe-TiO₂ for the three heavy metal ions is $Pb (II) > Cd (II) > Cu (II)$ , as also confirmed by DFT calculations. The binding energy and FMO analyses show that electron transfer occurs between the adsorbent and heavy metal ions and a chemical reaction takes place. The results of Mulliken, electrostatic potential, total potential, and differential charge analysis, including the adsorbent sites, binding sites, and binding strengths of Cd(II), Pb(II), and Cu(II), further proved the experimentally observed difference in competitive adsorption.

Footnotes

Data Availability

The data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare no competing financial interest.

Acknowledgments

The authors acknowledge funding from Key-Area Research and Development Program of Guangdong Province (2019B110207001), Guangzhou Municipal Science and Technology Project (201803030001), Natural Science Foundation of Guangdong Province (2018A030313363), National Natural Science Foundation of China (No. 51508206), and Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety (2019B030301008).

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Electron-Scale Insights into the Single and Coadsorption Cd(II) Behaviors of a Metal-Nonmetal-Modified Titanium Dioxide

Abstract

1. Introduction

2. Materials and Methods

2.1. Materials and Chemicals

2.2. Preparation

2.3. Characterization

2.4. Cd(II) Adsorption Study

2.5. DFT Calculations

3. Results and Discussion

3.1. SEM-EDS and BET Analysis

3.2. FTIR and XRD Analysis

3.3. XPS Analysis

3.4. Effects of pH Value and Coexisting Heavy Metal Ions and Adsorption Isotherms

3.5. Adsorption Kinetics

3.6. DFT Calculations

3.6.1. Binding Energy and HOMO LUMO (FMO) Analysis

3.6.2. MEP Analysis

3.6.3. Total Electron Density and Differential Charge Analysis

4. Conclusion

Footnotes

Data Availability

Conflicts of Interest

Acknowledgments

References