Controlled Synthesis and Selective Adsorption Properties of Pr2CuO4 Nanosheets: a Discussion of Mechanism.

Tetragonal-phase Pr2CuO4 nanosheets with a thickness of about 60 nm were synthesized using the coordination compound methods (CCMs), then used as highly efficient selective adsorbent towards malachite green (MG) in aqueous solutions. The Pr2CuO4 samples were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HRTEM), X-ray photoelectron spectroscopy (XPS), UV-Vis diffuse reflectance spectrum (DRS), and standard Brunauer-Emmett-Teller (BET) methods. The maximum adsorption capacity (Qm) of as-prepared samples was determined by adsorption isotherms with different adsorbent doses (m) of 0.03-0.07 g at 298, 318, and 338 K based on the Langmuir model. When m < 0.03 g or > 0.07 g, effects of systemic mass loss and particle aggregation were discussed on the data deviation from the Langmuir model at 298 K. Based on the hydrogen bond and coordination bond, a possible mechanism of selective adsorption of MG by Pr2CuO4 is proposed, which was further verified by the adsorption experiments of CuO and Pr2O3 towards MG and competing-ion experiments. Finally, the theoretic studies were performed at DFT level to reveal the possible adsorption process.

Background

Over the past few decades, dye-containing wasten class="Chemical">waters discharged by industries are particularly dangerous pollutants because dyes, such as methyl orange (MO), methylene blue (MB), rhodamine B (RhB), malachite green (MG), and so on, are not biodegradable in human body [1-6]. Of these, MG as a commonly used dye has recently been used as a bactericidal agent for fish eggs [7, 8]. Therefore, it often appears in surface water with other wastewater together, posing a serious threat to human health [9, 10]. Consequently, many adsorbents such as the nano-oxide (i.e., ZnO and ZrO) [11-13], mesoporous materials (i.e., ordered mesoporous carbons and mesoporous poly(acrylic acid)/SiO2) [14, 15], and some metal-organic frameworks (MOFs) [1] have been reported working as the adsorption of MG. Flower-like ZnO, among these adsorbents, was reported with largest Q (maximum adsorption capacity) of 2587 mg/g. However, their adsorption capacities of MG are greatly reduced in real water because these adsorbents are easily covered by various organic compounds. Therefore, studies focusing on large-capacity and selective adsorbents are important for the adsorption of organic dyes [7, 8, 16, 17]. It is encouraging that rare earth cuprate exhibits high selective adsorption of MG with the largest special adsorption capacities (i.e., the Q of Dy2Cu2O5 is higher than 5.54 g/g) [17]; however, the mechanism is still not very clear.

This selective adsorption of rare earth cun class="Chemical">prate should be studied based on the specific molecular structure of MG, which is different from other dyes. As reported by Y. Li et al. [4], MG has an isomer (leucomalachite green, LMG) in aqueous solution, containing coordinatable oxygen atoms. Therefore, we have proposed a mechanism based on coordination bonds during adsorption processes, as that in MOFs [1, 2, 17].

In this work, we provide a deeper insight into the deviation of the adsorption data from the Langmuir model for the adsorption n class="Chemical">process of MG on Pr2CuO4 adsorbent. Another goal is to explain the large selective adsorption of Ln–Cu–O compounds to MG and the possibility of multilayer adsorption mechanism. For the possibility of the formation of hydrogen bond and coordination bond in the adsorption process, theoretical studies were carried out at the DFT level.

There are very few reports on the chemical properties of n class="Chemical">Ln2CuO4-type rare earth cuprates, compared to the numerous catalysts and adsorbents of transition metal oxides and rare earth oxides [18-20]. To the best of our knowledge, this is the first report related to the adsorption mechanism of Pr2CuO4 towards MG, accompanied by a large Q value at room temperature.

Methods/Experimental

Materials

Cu(n class="Chemical">OAc)2·4H2O, Pr(NO3)3·5H2O, 3,4-pdc, and triethylamine were purchased from Sinopharm Chemical Reagent Co. Ltd. (Shanghai, China). Malachite green (MG) were bought from Aladdin Industrial Corporation, Shanghai. All reagents used in this study were of analytical grade and used without further treatment.

Synthesis

The CCMs pren class="Chemical">cursor [PrCu(3,4-pdc)2(OAc)(H2O)2] •10.5H2O was prepared according to our previous study [21, 22]. Cu(OAc)2·4H2O, Pr(NO3)3·5H2O, 3,4-pdc, and triethylamine with corresponding stoichiometric proportions were dissolved in a mixture of water-methanol at the volume ratio of 1:1. The solution was stirred for 3 h, then filtered off and allowed to stand until the formation of blue polycrystal. The obtained crystals were then calcined at different temperature for 1 h under N2 atmosphere to yield Pr2CuO4.

Characterization

XRD patterns of as-prepared samples were obtained on a D/Max-RB X-ray diffractometer (Rigaku, Japan) using n class="Chemical">Cu Kα irradiation at a scan rate (2θ) of 0.05°/s from 10 to 90 °. Powder morphologies were characterized using SEM (Zeiss Supra 55, German) and HRTEM (FEI Tecnai F30, America). Selected area electron diffraction (SAED) pattern and high-angle annular dark-field (HAADF) imaging were acquired to measure the individual nanoparticles. The size distribution of as-prepared Pr2CuO4 is detected using a laser granularity meter (Mastersizer 2000, England). The specific surface areas of the as-prepared samples were measured by N2 adsorption/desorption experiments using a Builder SSA-4300. DRS was measured by a UV-Visible (PERSEE T9, China) spectrophotometry with BaSO4 as the reference sample. Oxidation states of the elements of the catalyst were obtained by high-resolution X-ray photoelectron spectroscopy (XPS) on a PHI 5000 C ESCA System (Japan) with Mg K source operating at 14.0 kV and 25 mA.

Adsorption Experiments

The adsorption of MG from aqueous solution was n class="Chemical">conducted in batch experiments using the Pr2CuO4 particles as adsorbents with an overhead stirrer at 100 rpm. Various adsorbent doses (0.03–0.07 g) were added to 1000 mL of 0.1 g/L MG aqueous solution. Once the equilibrium was established, the solution was filtered and the filtrate was analyzed using an UV-Visible (RF 5301) to determine the residual concentration of MG. The adsorbed amount was calculated using Eq. (1).

where q (mg/g) is the adsorption capacity at the equilibrium n class="Chemical">concentration and C (mg/L) and C (mg/L) are the initial and equilibrium concentrations of MG in the aqueous solution, respectively. V (L) is the initial solution volume and m (g) represents the mass of the used dry adsorbent.

Langmuir equation and Freundlich equation in linear form are expressed as

where K is the Langmuir constants, and K and n are Freundlich n class="Chemical">constants. The kinetic characteristics of the adsorption process prior to equilibrium were analyzed using the time response of the isothermal adsorption experiments as described above. For comparison, the competing-ion (related to O–Pr and O–Cu coordination bonds) experiments, including methyl orange (MO) and rhodamine B (RhB), were performed under the same conditions. The initial concentration of the competing ion was set to 0.02 g/L.

Theoretical Studies

The DFT calculations were performed using a DMol3 package of Materials Studio (version 7.1). All n class="Chemical">core electrons were calculated using the effective core potentials to reduce computational costs. The double-numeric quality basis set with polarization functions (DNP) was used for all atoms in the system. Geometry optimization of the surface of the adsorbents was implemented by using PerdewWang (PW91) exchange-correlation functional in the generalized gradient approximation (GGA). The cut-off energy of the plane wave functions and self-consistent field (SCF) tolerance were set to 340 eV and 1 × 10− 6 eV/atom, respectively. All the calculations were performed in reciprocal space.

Results and Discussion

Characterizations

The XRD patterns of the Pr2CuO4 samples synthesized at different temperatures are shown in Fig. 1. At 600–700 °C, the crystallite of n class="Chemical">Pr2O3 and CuO appears with no Pr2CuO4, suggesting the temperature is too low to active Pr2O3 and CuO to form Pr2CuO4 [21]. At 800 °C, some characteristic peaks related to tetragonal-phase Pr2CuO4 (PDF # 22-0245) could be observed at Bragg angles of 23.5 ° and 31.5 °; however, there is still a large amount of Pr2O3 and CuO in the sample. At 900 °C, more Pr2O3 and CuO are reacted to form Pr2CuO4 with a slight amount of CuO residual. The diffraction peaks are sharp and intense, indicating high crystallinity of the sample. No other impurity peaks are observed, confirming the high purity of Pr2CuO4. As the temperature increases up to 1000 °C, the sample still maintains a perfect purity. When the temperature exceeds 1100 °C, more impurity phase of CuO appears obviously due to the decomposition of the sample. Therefore, all the samples studied in adsorption experiments were synthesized at 900 °C.

Fig. 1

XRD patterns of Pr2CuO4 synthesized at 600–1100 °C and PDF# 22-0245

Figure 2a, b shows the SEM images of Pr2CuO4 particles n class="Chemical">prepared at 900 °C. It could be seen that the Pr2CuO4 particles are well dispersed nanosheets, having an average thickness of about 60 nm. Most nanosheets are stacked together like lava, but the layer structure is still clearly observed. Few well-crystallized nanosheets show regular octagonal-sheet structure (in the yellow circle in Fig. 2b). The nanosheets are interconnected to build a three-dimensional hole, which is large enough for organic molecules to pass through, suggesting a perfect nature as adsorbents. As described in Ref. [20], the coordination precursor is continuously melted at the temperature above 300 °C to form small mobile phases, then solidified into oxides, and eventually broken into overlapping sheets (Fig. 2b). Since the metal ions are uniformly distributed in the coordination precursor, the product consists of polycrystalline particles by calcination at lower temperatures (< 900 °C, compared to solid-state sintering method).

Fig. 2

SEM image of Pr2CuO4 sample prepared at 900 °C (a, b), TEM (c), SAED and HAFFD images (d), and octagonal structure diagram (e)

SEM image of Pr2CuO4 sample n class="Chemical">prepared at 900 °C (a, b), TEM (c), SAED and HAFFD images (d), and octagonal structure diagram (e)

The detailed structure of Pr2CuO4 is further revealed by high-resolution TEM images, n class="Chemical">SAED, and HAADF. Figure 2c shows the octagonal structure again (in red circle), which is consistent with SEM images. The HAADF image in Fig. 2d shows that Pr2CuO4 sample displays clear lattice spacings, indicating its single-crystallinity. The lattice plane spacing of 0.281, 0.281, and 0.198 nm match well with (− 110), (020), and (110) planes of tetragonal Pr2CuO4, respectively. A schematic diagram of the octagonal flaky structures in Fig. 2b, c is sketched in Fig. 2e and the facet index of the polyhedral sides are speculated by corresponding dihedral angles and XRD results. First, two crystal facet indices of the sides of the octagonal flaky are found to be (110) and (020) (Fig. 2d). Secondly, considering that the dihedral angle of the adjacent side of the octagon is approximately equal to 45 ° and the observed crystal plane indexed in Fig. 1, (200) crystal plane is deduced to be one side. Finally, considering that the upper surface is perpendicular to the side surface, the crystal facet index of the upper surface is determined to be (001). Since the thickness of the octagonal sheet is small, the X-ray diffraction intensity of {006} must be weak, as shown in Fig. 1, which indirectly supports the above assumptions. Therefore, it is believed that the as-prepared sample are likely surrounded by {110}, {020}, {200}, and {001}. Considering that the (001) plane has the largest exposed area, the (001) crystal face is selected as the adsorption surface in the DFT modeling.

Figure 3 shows the nitrogen adsorption–desorption isotherms and the n class="Chemical">corresponding pore size distribution of Pr2CuO4 adsorbent. It could be seen that the isotherm shows a type III isotherm according to the IUPAC classification, which is convex to the p/p axis over its entire range without a clear point to determine the beginning of multilayer adsorption [23, 24]. No obvious hysteresis loop is observed, suggesting a weak N2–Pr2CuO4 interaction. Moreover, its specific surface area is calculated to be 11.6 m2/g with pore sizes of 10–100 Å according to Brunauer–Emmet–Teller (BET) method, suggesting a very narrow spacing between the particles, which is consistent with SEM results.

Fig. 3

Nitrogen adsorption–desorption isotherms and the corresponding pore size distributions of Pr2CuO4 (the black line for the adsorption branch and the red line for the desorption branch)

Nitrogen adsorption–desorption isotherms and the n class="Chemical">corresponding pore size distributions of Pr2CuO4 (the black line for the adsorption branch and the red line for the desorption branch)

The surface chemical composition and elemental states of n class="Chemical">Pr2CuO4 adsorbents are investigated by XPS. Figure 4a presents the XPS survey spectrum, showing that the sample contains Pr, Cu, O, and C elements. The high-resolution XPS spectra of Pr, Cu, O, and C were preciously deconvoluted considering spin-orbit coupling. The high-resolution XPS spectra of Pr 3d are shown in Fig. 4b. The peaks of 3d5/2 and 3d3/2 observed at 1073.1 and 1091.5 eV respectively confirm the presence of the chemical equivalent Pr ion with a formal charge of + 3 [25-27]. As shown in Fig. 4c, the Cu 2p XPS spectrum shows the core level of Cu 2p spectral region with one spin-orbit doublet. The main peaks represent Cu 2p1/2 at 953.8 eV and Cu 2p3/2 at 933.6 eV with an energy difference of about 20 eV, which could be attributed to Cu ion in CuO4 group with a formal charge of + 2 [28]. Meanwhile, a little peak observed at 929.5 eV could be attributed to the satellite peak of Cu 2p, which is possibly caused by the Cu ions with the lower-symmetric coordination environment in the adsorbent surface. Figure 4d shows two different valences of O at 531.3 eV and 535.6 eV (more positive), respectively, indicating that there are two kinds of non-equivalent O atoms. The peak centered at 531.3 eV represents the O atom surrounded by two Cu atoms and four Pr atoms in the CuO2 layer of Pr2CuO4 lattice, while the peak at 535.6 eV is assigned to the O atom coordinated with four Pr atom in the Pr2O2 layer of Pr2CuO4 lattice [29]. In Fig. 4e, the binding energy of adventitious carbon (284.7 eV) is applied for charge correction. However, the peak at 289.5 eV can be attributed to C–O species, suggesting the presence of C residue, which could be seen as one of the characteristics of CCMs.

Fig. 4

Total XPS spectra (a) and high-resolution XPS spectra of Pr 3d (b), Cu 2p (c), O 1 s (d), and C 1 s (e) of Pr2CuO4

Total XPS spectra (a) and high-resolution XPS spectra of Pr 3d (b), n class="Chemical">Cu 2p (c), O 1 s (d), and C 1 s (e) of Pr2CuO4

Figure 5 shows the UV-Vis absorption spectra of Pr2CuO4. The strong and broad spectrum absorption band from 750 to 300 nm n class="Chemical">could be clearly observed due to the strong d–d electron transitions and charge transfer transitions of Cu–O and Pr–O [30, 31]. Thus, the sample appears dark blue. The strong absorption of light makes Pr2CuO4 a potential photocatalyst, but no photocatalytic phenomena have been observed. It indirectly means that the recombination of photogenerated electron-hole pairs of Pr2CuO4 is intensive. The direct interband energy gap is calculated to be 0.51 eV (the inset in Fig. 5), revealing that photo-generated electron could be easily relaxed by lattice vibration. Thus, the photocatalytic properties of Pr2CuO4 are not observed.

Fig. 5

UV-Vis diffuse reflectance spectra of Pr2CuO4 samples and the determined direct interband transition energies

Maximum Adsorption Capacity and Mechanism

The adsorption capacities of Pr2CuO4 are evaluated by equilibrium adsorption experiments at 298, 318, and 338 K, as shown in Fig. 6a–c. When the adsorption reactions reached equilibrium at 298 K, the equilibrium n class="Chemical">concentration of MG significantly decreases with increasing the adsorbent dosage (Fig. 6a). As the temperature rises, the equilibrium concentration of MG is gradually increased in the case of the same dose of adsorbent, indicating that the temperature rise positively affects the desorption of MG (Fig. 6b, c). According to the Langmuir model (Eq. 2) and the Freundlich model (Eq. 3) [32], the data of Fig. 6a–c are depicted in Fig. 6d, e. The values of the related parameters and corresponding R are listed in Table 1. The results show that the isotherms follow the Langmuir model better with a higher value of R than the Freundlich model. Therefore, the Q of the Pr2CuO4 adsorbent calculated according to the Langmuir model reaches as high as 3.52 g/g at 298 K. For comparison, the maximum MG adsorption capacities of some selected adsorbents are summarized in Table 2. To the best of our knowledge, the Q of the Pr2CuO4 to MG is only slightly lower than that of the analog Sm2CuO4 but much larger than physical adsorbents such as bamboo-based activated carbon, suggesting that the adsorption mechanism is likely to be different from ordinary physical adsorption. The Q of Pr2CuO4 decreases to 2.17 g/g with the temperature rising to 338 K. Simultaneously, the equilibrium constant (K) drops from 906 to 667 L·mol− 1 as the temperature rises from 298 to 338 K, implying that the adsorption process is exothermic [33].

Fig. 6

Varieties MG equilibria concentrations in the maximum adsorption experiment of CCMs at 298 (a), 318 (b), and 338 K (c) and the corresponding fitting lines according to Eqs. (2), (3), and (4) are depicted in (d, e, and f), respectively

Table 1

Partial fitting results obtained from the maximum adsorption capacity experiments of CCMs

T(K)	Langmuir			Freundlich
	Q m (g/g)	Kθ(L/mol)	R 2	KF(L/mol)	1/n	R 2
298	3.52	906	0.9968	1358	0.722	0.9886
318	2.93	771	0.9886	1059	0.746	0.9894
338	2.17	667	0.9849	720	0.759	0.9648

Table 2

Comparison of adsorption capacities of different adsorbents for MG at 298 K

Adsorbent	Adsorption capacity (mg/g)	Data resource
Bamboo-based activated carbon	263.58	[36]
ZnO-activated carbon	322.58	[9]
Ordered mesoporous carbons	354.5	[12]
Cellulose	458.72	[37]
Porous C–ZrO2 composite	2500	[11]
ZnO flower-like architectures	2587.0	[10]
Sm2CuO4	7180	[38]
This work	3520

Varieties MG equilibria n class="Chemical">concentrations in the maximum adsorption experiment of CCMs at 298 (a), 318 (b), and 338 K (c) and the corresponding fitting lines according to Eqs. (2), (3), and (4) are depicted in (d, e, and f), respectively

Comparison of adsorption capacities of different adsorbents for n class="Chemical">MG at 298 K

The thermodynamic parameters are fitted from the data in Table 1 according to Eq. (4) and the results are shown in Fig. 6f [34]:

where ΔG, ΔH, and ΔS are the standard Gibbs free energy change, standard enthalpy change, and standard entropy change for adsorption of 1 mol MG, respectively.

ΔG, ΔH, and ΔS are calculated to be − 16.9 kJ/mol, − 6.41 kJ/mol, and 35.1 J/mol·K, respectively. The negative value of ΔG indicates that the adsorption reaction is spontaneous. The negative value of ΔH further intern class="Chemical">prets the decrease of the equilibrium constant with increasing temperature. The positive value of ΔS might imply that the adsorbent surface is initially covered by water molecules and the adsorbed MG molecule occupies a large area on the surface [33].

Analysis of Deviation

The plot of 1/q versus 1/c according to Eq. 2 with q modified by Eq. 5 with m’ ranging from 0 to 0.009 g at 298 K is depicted in Fig. 7a. It is clearly observed that the plot, when m’ = 0, shows a significant deviation from the Langmuir model (0.01 g < m < 0.03 g and 0.07 g < m < 0.10 g). Therefore, the plot of 1/q versus 1/c needs to be calibrated by introducing a factor m’ acn class="Chemical">cording to Eq. 5. As shown in Fig. 7b, when 0.001 g < m’ < 0.003 g, R increases steadily with m’, while R decreases quickly when m’ exceeds 0.004 g. Therefore, the optimal value of m’ is 0.003 g, indicating that there may be a systematic error for some reasons, such as the agglomeration of adsorbent particles. The agglomeration of the adsorbent particles may be due to the increase in viscosity of the adsorbent particles after the adsorption of MG molecules. The corresponding mechanism and process are demonstrated in the next section.

Fig. 7

The plot of 1/q versus 1/c according to Eq. 2 (where, m’ = 0) with q modified by Eq. 5 with different value of m’ ranging from 0.000 to 0.009 g at 298 K (a). The corresponding R as a function of m’ (b)

The plot of 1/q versus 1/c according to Eq. 2 (where, m’ = 0) with q modified by Eq. 5 with different value of m’ ranging from 0.000 to 0.009 g at 298 K (a). The n class="Chemical">corresponding R as a function of m’ (b)

The aforementioned correction method can explain the deviation well in the case of m < 0.04 g, but when m > 0.07 g, it ben class="Chemical">comes very difficult to explain the deviation. The addition of higher-order term of m to m’ is an option to explain the deviation for m > 0.07 g; however, its physical meaning becomes ambiguous. Another method is to adopt the multi-layer adsorption theory. An obvious experimental phenomenon, the appearance of dark blue spots on the container wall, supports this theory. It suggests the possibility of the aggregation of adsorbent particles. The possibility might be due to the rearrangement of H atoms during the adsorption of MG [4], as shown in Fig. 8. The migration of hydrogen atoms produces O− ion and NH3+ ion, generating a dipolar MG. Since the polarization of MG molecules greatly increases the intermolecular interaction, the adsorbent particles with adsorbed MG molecules tend to aggregate together and attach to the walls of the container. An aqueous/ethanol mixture solution at 1:1 volume ratio was used as the solution, and the above isotherm experiment was repeated at 298 K. The degree of aggregation decreased obviously in the aqueous/ethanol mixture solution, which could be explained by the depolarization of MG molecule in a weakly polar solvent.

Fig. 8

The schematic diagram for the aggregating process of Pr2CuO4 particles with huge Q in water and water/ethanol mixture

The schematic diagram for the aggregating process of n class="Chemical">Pr2CuO4 particles with huge Q in water and water/ethanol mixture

Theoretical Analysis at DFT Level

The above assumptions are further analyzed by the DFT method. As reported by Li et al. [4], the isomer of MG (in Fig. 9) n class="Chemical">contains coordinatable oxygen atoms, which has the ability to connect with Cu and Pr atoms of the adsorbent. This mode is described as route 1 in Fig. 9. The adsorption energy of route 1 is calculated to be 62.5 kJ/mol based on the O–Pr coordination bond at the DFT level, which is 6.46 eV/mol larger than that of O–Cu. Based on this, route 2 is represented by two stages: (i) the H atom of the MG molecule migrates from the hydroxyl group to the amino group with an energy rise of 28.8 kJ/mol and a activation energy of 309.8 kJ/mol, close to the bond energy of O–H. However, the ionization of O enhances the adsorption strength by a stronger O–Pr coordination bond with a larger adsorption energy of 83.3 kJ/mol. The product of route 2 is more stable by 20.8 kJ/mol compared to route 1. The length of OMG–Pr coordination bond is calculated to be 2.99 Å, slightly larger than those in Cu–Pr coordination complexes (i.e., 2.36 Å in CCDC: 1524771), suggesting a strong interaction between Pr and OMG. (ii) The ionized MG molecule could induce the polarization of adjacent MG molecules, which increases the electrostatic interaction between the MG molecules and further form H···N bonds. Consequently, a multilayer adsorption with an energy drop of 26.4 kJ/mol is obtained. The value of route 2 is more consistent with the above thermodynamic results, implying route 2 is more reliable. After the formation of hydrogen bonds (Fig. 10), the bond lengths of O–H is stretched to 1.07 Å, 0.10 Å longer than that in free MG molecule. The H bond length of H…N is about 1.60 Å, implying that covalent interaction between MG molecules plays a key role in the formation of hydrogen bonds. In route 2, a large number of ionized MG molecules adsorbed on the surface of Pr2CuO4 is electrostatically viscous, which might explain the agglomeration of adsorbent particles during the adsorption process (Fig. 8). Therefore, the multilayer adsorption route might be the major mode, which could explain the large Q of Pr2CuO4 well. The above mechanism is similar to that of the pH-dependent adsorption of ionizable compounds, reported by Tang [35].

Fig. 9

The schematic diagram for the energy changes of route 1 and 2 based on DFT studies

Fig. 10

The schematic diagram for the energy changes of multilayer adsorption by H-bond between dipole MG molecules

The schematic diagram for the energy changes of multilayer adsorption by H-bond between dipole n class="Chemical">MG molecules

To gain a better understanding of the adsorption mechanisms, isothermal adsorption experiments with different competitive ions, dyes, and oxides were also carried out and the data are depicted in Fig. 11. Dyes such as MO and n class="Chemical">RhB have little effect on the adsorption process, suggesting Pr2CuO4 is a selective adsorbent. The ions (Cl− anions and Na+ cations) also showed a little effect on the adsorption process, suggesting that the selective adsorption is different from electrostatic adsorption. The effect of OAc− is stronger than that of Cl−, due in part to the formation of O–Cu and O–Pr coordination bonds. Similarly, Cu2+ and Pr3+ could effectively block the adsorption of MG through coordination bonds. Meanwhile, CuO and Pr2O3 significantly increase the adsorption capacity, indicating that they might have the same adsorption mechanism as Pr2CuO4. These experimental results are consistent with the DFT analysis, which further supports the view of coordination adsorption.

Fig. 11

Effects of competitive ions, dyes, CuO, and Pr2O3 on the adsorption of Pr2CuO4 for MG

Effects of competitive ions, dyes, n class="Chemical">CuO, and Pr2O3 on the adsorption of Pr2CuO4 for MG

Conclusions

Pr2CuO4 adsorbents were successfully n class="Chemical">prepared via CCMs with a large Q of 3.52 g/g at 298 K. The deviation of the adsorption data from the Langmuir model is due to the systematic mass loss of 0.003 g, when m < 0.04. When m > 0.07 g, the effect of agglomeration of particles on the adsorption capacity could not be ignored. The large adsorption capacity of Pr2CuO4 adsorbent was discussed according to multilayer adsorption model: (i) the H atom of the MG molecule migrates from the hydroxyl group to the amino group to enhance the adsorption strength, with the adsorption energy of 83.3 kJ/mol. (ii) The polarized MG molecules are bound to each other by hydrogen bond during multilayer adsorption process with an energy drop of 26.4 kJ/mol. In addition, this multilayer adsorption mechanism was confirmed by the DFT studies and competing-ion experiments.