Introduction

In recent decades, environmental pollutions, especially water pollution, have drawn more and more attentions (Liu et al. 2012). Human activities and excessive use of fertilizer in agriculture has caused serious water eutrophication. Phosphorus (P) pollution includes municipal and industrial wastewater, agricultural drainage, stormwater runoff, and household sources, greatly threatens human and ecological health (Liu et al. 2013; Wen et al. 2014). This contamination has called on the requirements to develop the effective removal technologies or possible recovery of high concentration of phosphate from wastewater.

Various methods including ion exchange, biological removal, membrane separation, chemical precipitation, and adsorption have been widely developed to remove phosphate from surface water and ground water (Almanassra et al. 2020a; Wen et al. 2014). Among those techniques, adsorption is considered one of the most efficient technique due to its simple process, convenient operation, and excellent application for treating phosphate in wastewater (Almanassra et al. 2020; Mudhoo et al. 2019).

In the adsorption researches, finding effective adsorbents with high adsorption capacity is the key to facilitate the phosphate removal from wastewater. A bunch of work has been done to design and develop the various absorbents, such as Fe and Fe oxides, Mg oxides, Al and Al oxides, soil minerals, and slag (Arslanolu 2021; Li et al. 2016). In recent years, calcite (calcium carbonate CaCO3) as a natural mineral is regarded as a promising adsorbent for the removal of phosphate due to its abundant content, low cost, and environmental friendliness (Liu et al. 2012; Karageorgiou et al. 2007; Ramola et al. 2021). For example, a 10-mm-thick calcite capping layer has been applied to reduce 80% of the P efflux from sediment for at least 2–3 months (Berg et al. 2004). One gram of calcite can remove approximately 70–80% of phosphate in the solution under weak alkaline conditions (Yao et al. 2014). Nevertheless, the adsorption sites on CaCO3 particles are not sufficient for effective phosphate adsorption due to its large particle size and small specific surface (Nath and Dutta 2010a, b; Qiu et al. 2021). Currently, some researches have been done to modify CaCO3 by doping elements for improve their adsorption capacity of phosphate (Wang et al. 2021). However, the limited information is available in CaCO3 nanosized and distributed in a porous support to increase the specific surface area.

As known, the ordered mesoporous material SBA-15 has been commonly used as a good support for the preparation of catalysts, due to its open structure, high surface area, large pore diameter, thick pore walls, and good hydrothermal stability (Wu et al. 2014). Likewise, nanomaterials have great chemical activity and surface energy, which could be easily combined with supports through the surface hydroxyl reaction (Zhou et al. 2011). Obviously, nanomaterials loaded onto the SBA-15 support could show great potential for preparation of composites with the high-performance of application in pollutant removal. For example, nanoparticles (i.e., metal oxides (Wu et al. 2014; Wu et al. 2018), MOFs (Mahmoudi et al. 2020), Ag3PO4 (Chai et al. 2015), spinel NiFe2O4 (Chen et al. 2017), and so on) have been loaded on SBA-15 to fabricate the nanocomposites for removal of organic pollutants from water. Besides, loading the metal nanoparticles onto SBA-15 to form nanocomposites has been used for removal of heavy metals from water. For example, nanoscale zero-valent iron (nZVI) composites by loading into polydopamine (PDA)-decorated SBA-15 exhibited the excellent removal capacity of Cr(VI) and U(VI) from aqueous solutions (Liu et al. 2021a, b). Moreover, the SBA-15@Fe/Ni composite, prepared via loading nZVI onto SBA-15 as a support, showed the enhanced stability and removal capacity for Cr(VI) adsorption and reduction (Xing et al. 2023). However, the synthesis and application of SBA-15-based nanocomposites in the phosphate removal from wastewater are rarely investigated.

In this study, the porous CaCO3-loaded SBA-15 nanocomposites (CaAS) were successfully prepared by a simple wet-impregnation method to effective remove high concentration of phosphate from water. Then, a series of CaAS composites with different loading ratios were characterized. The adsorption and desorption of phosphate on an idealist composite CaAS were investigated. Particularly, the underlying mechanisms for chemical reactions between CaAS composite and phosphate were unraveled by multiple characterization including thermogravimetric analysis (TGA), powder X-ray diffraction (XRD), and Fourier transform infrared (FT-IR).

Materials and methods

Chemicals

Triblock copolymer P123 (polyoxyethylene-polyoxypropylene-polyoxyethylene, EO20PO70EO20, MW = 5800), Sigma-Aldrich; hydrochloric acid (HCl, 35–37 wt%); calcium acetate (calcium acetate); and tetraethyl orthosilicate (TEOS) were purchased from Sinopharm Chemical Reagent Co. Ltd. of China. These chemicals were analytically pure and used without further purification. Deionized water was used in the experiments.

Materials synthesis

Mesoporous SBA-15 was synthesized through a hydrothermal method (Xu et al. 2014). Typically, 0.5 g of SBA-15 and a certain amount of calcium acetate monohydrate (Ca(CH3OO)2·H2O, 99.8%) were mixed with water to ensure the different Ca/Si molar ratio (rCa/Si) for the synthesis of CaAS-x (x = 0.1–0.6) nanocomposites. The mixture was then dried by distillation after stirring at room temperature for 24 h, then heated at 50 °C. Finally, the powder was calcined in a muffle furnace with 500 °C for 2 h to obtain the final product.

Material characterization

X-ray diffraction (XRD, Bruker D8 Advanced, Germany) was performed to characterize the structure of the synthesized materials. Thermogravimetric (TG, NETZSCH STA449F3, Germany) and mass spectrometry (MS, Agilent 7890B-7200, USA) analyses were performed on a thermo balance (SDQ-600) with a heating rate of 20 °C/min up to 800 °C under air flow. Fourier transform infrared (FT-IR, Nicolet iS10, Thermo Fisher Scientific, USA) spectra were performed on an IRPrestige-21 Fourier infrared spectrometer with KBr wafer. X-ray photoelectron spectroscopy (XPS) measurements were analyzed by Thermo Fisher Scientific ESCALAB 250.

Batch experiments

Phosphate adsorption tests onto different Ca/Si molar ratio of CaAS-x were conducted to investigate the ideal synthesis ratio of Ca/Si for CaAS nanocomposites. CaAS-x series (5.0 g·L−1) were mixed with 200 and 500 mg·L-1 phosphate solutions at 25 °C room temperature. Solutions were centrifuged for 10 min using the RJ-TDL-40B low-speed desktop centrifuge, and then passed through a 0.45-mm pore filter. Finally, the molybdenum blue colorimetric method using UV-vis spectrophotometry (UV-2450, Shimadzu, Japan) was employed to determine the phosphate concentration in the filtrate based on pre-established phosphate calibration curves.

Phosphate adsorption kinetics were initially obtained to acquire best reaction time. The 1.0-g·L−1 of CaAS-0.55, CaCO3, and SBA-15 materials were added into 100 mg·L−1 phosphate solution which was diluted with sodium dihydrogen phosphate stock solution of 1000 mg·L-1 in 10 mM NaCl solution, respectively. After that, mixtures were filled in many 50 mL centrifuge tubes and transferred on rotators for varying reaction time (0.1–18 h). The phosphate adsorption capacity was defined as the phosphate adsorption amount (difference between initial and equilibrium phosphate concentrations in solution) per gram of material, which agreed with previous study (Xu et al. 2014a, b).

Adsorption isotherms were obtained by adding CaAS-0.55, CaCO3, or SBA-15 (1.0 g·L−1) into different concentrated phosphate solutions (5−250 mg·L−1) at 20 °C for reaction 18 h. Meanwhile, pH effect on phosphate adsorption capacity of materials was also investigated under similar experimental conditions.

Desorption kinetic experiment

At first, 200 mM phosphate was pre-adsorbed onto CaAS-0.55 by equilibrating 5 g·L−1 of absorbent in 10 mM NaCl solution at pH 7.0. And then, supernatant was discarded and refilled with NaCl solution. After being subjected to 1–14 days equilibrium period, the solids were centrifuged and then filtered through a 0.45-μm filter. The desorption efficiency was calculated as the percentage of phosphate in filtrate versus phosphate pre-adsorbed on absorbent.

Theoretical analysis and modeling

The adsorption kinetic curves were fitted by pseudo-first-order and pseudo-second-order models (Wu et al. 2014), as follows:

Pseudo-first-order equation:

$${Q}_t={Q}_e\times \left(1-{e}^{-{k}_1t}\right)$$
(1)

Pseudo-second-order equation:

$$t/{Q}_t=1/{k}_2{Q_e}^2+t/{Q}_e$$
(2)

where Qt (mg·g−1) and Qe (mg·g−1) are the amounts adsorbed at predetermined and equilibrium adsorption time, respectively; t (h) represents contact time; k1 (h−1) and k2 (g·mg−1·h−1) are the rate constants of the pseudo-first-order and pseudo-second-order models, respectively.

The phosphate adsorption mechanisms by adsorbents were explained by Langmuir and Freundlich adsorption models, as following equations (Wang et al. 2022a, b):

Langmuir model

$${Q}_e=\frac{Q_{max}{K}_L{C}_e}{1+{K}_L{C}_e}$$
(3)

Freundlich model

$${Q}_e={K}_F{C_e}^{1/{n}_F}$$
(4)

C e (mg·L−1) in the equations is the equilibrium concentration of phosphate solution; Qe (mg·g−1) is the adsorbed amount per gram of material at adsorption equilibrium; Qmax (mg·g−1) is the largest amounts of monolayer adsorption; KL (L−1·mg) is the Langmuir constant; KF ([mg·g−1·(L·mg−1)1/n]), and 1/nF are the Freundlich constants, which are the adsorption capacity and adsorption intensity, respectively.

Results and discussion

Material characterizations

Figure 1 a shows the low angle XRD patterns of CaAS-x samples with different Ca/Si molar ratio. There were three apparent feature peaks with 0.92, 1.58, and 1.82 degrees of 2theta for all samples, which corresponded to the diffraction peaks of (100), (110), and (200), respectively, of the hexagonal symmetrical structure (space group: p6mm) (Gu et al. 2019). It was revealed that all samples have highly ordered mesoporous structure as the SBA-15 support after loading CaCO3. With the increase of CaCO3 loading number, the XRD diffraction peak shifted to low angle. If the Ca/Si molar ratio of the sample was changed from 0.1/1 to 0.5/1, the (100) peak in corresponding samples changes from 2theta of 0.94 to 0.88°, which indicated that the lattice parameter of SBA-15 further increased after modification by CaCO3. When the loaded CaCO3 was further increased to Ca/Si molar ratio = 0.55 and 0.6, the XRD diffraction peak of the samples shifted to high angle. The (100) peak of the CaAS-0.55 and CaAS-0.6 samples is at 0.92°, which revealed that the lattice parameter of the sample would not change along with the higher CaCO3 loading.

Fig. 1
figure 1

Low (a) and wide (b) XRD patterns of CaAS-x (x = 0.1−0.6) samples with different Ca/Si molar ratio

Figure 1 b presents the wide-angle XRD patterns of CaAS-x samples. Distinct diffraction peaks at 23.1°, 29.3°, 36.0°, 39.5°, 43.2°, 47.4°, and 48.5°, corresponding to the (012), (104), (110), (113), (202), (018), and (116) planes of CaCO3 (JCPDS card no. 24-0027) were observed for the CaAS-x samples (Gu et al. 2022). Moreover, intensity of the diffraction peaks gradually raised following by the increase in the rCa/Si. Furthermore, a broad peak around 22.5° appeared in the samples with relatively lower CaCO3 content (rCa/Si = 0.1~0.45), which corresponds to amorphous SiO2. Intensity of this peak decreased along with the increase in CaCO3 content due to reduce of relative content of mesoporous SiO2. No XRD diffraction peaks according to other crystal phases appeared in the XRD patterns, indicating there is no impurities in the CaAS-x samples (Fig. 1b).

Figure 2 shows the N2 adsorption/desorption isotherms and corresponding pore size distributions (PSDs) of the CaAS-x materials. All of the CaAS-x samples with different rCa/Si displayed type IV sorption isotherms with type H1 hysteresis loops at high relative pressures (Fig. 2a, c), indicating characteristic mesoporous channels of SBA-15 were maintained after the modification by CaCO3 (Wu et al. 2014). Moreover, the N2 adsorption amount of the CaAS-x decreased along with the increase in CaCO3 loading number, which is due to the fact that CaCO3 would occupy partial pores of the mesoporous support. Consequently, the BET surface area and pore volume of CaAS-x samples gradually declined from 289 to 148 m2·g−1 when the rCa/Si raises from 0.1 to 0.6 (Table 1).

Fig. 2
figure 2

N2 adsorption/desorption isotherms (a and b) and pore size distribution curves (c and d) of the mesoporous CaAS-x (x = 0.1−0.6) samples synthesized with different Ca/Si molar ratio

Table 1 Textural properties of the mesoporous CaAS-x materials

The PSD curves of the CaAS-x revealed that all materials have narrow pore size distributions, confirming the uniform mesopores in them (Fig. 2b, d). The CaAS-x materials with different rCa/Si had relatively large surface areas of 289–148 m2·g−1 and pore volumes of 0.52–0.28 cm3·g−1, respectively, which are lower than those of the SBA-15 support (Table 1).

Figure 3 gives TG and DSC results of Ca(CH3COO)2·H2O and as-synthesized CaAS-0.2 samples. The Ca(CH3COO)2·H2O had obvious weight loss at 80–220 °C; the percentage of weight loss was about 8%, which corresponded to desorption of adsorbed water and molecular water (Fig. 3a). The DSC heat flow signal corresponded to a less apparent endothermic peak, as shown in Fig. 2b. The first part of the thermal decomposition of calcium acetate samples occurred at 400–450 °C; the weight loss ratio was about 33%. The weight loss of this section should be the decomposition of calcium acetate to produce acetone and calcium carbonate. The second apparent weight loss interval of calcium acetate in air atmosphere was in the range of 630–760 °C, corresponding to the decomposition of calcium carbonate. DSC signal displayed that there was apparent endothermic peak around 750 °C.

Fig. 3
figure 3

TG (a) and DSC (b) results of Ca(CH3COO)2·H2O and synthesized CaAS-0.2 samples

Figure 3 shows that the thermal decomposition temperature of CaAS-0.2 (CaCO3-loaed SBA-15) was close to that of calcium acetate. When the temperature was 470 °C, calcium acetate decomposed completely. Compared with calcium acetate, the initial decomposition temperature of CaAS-0.2 sample advanced and the weight loss rate was relatively flat after combining with SBA-15. Samples were slowly decomposed from 200 to 400 °C of which the first part of the decomposition was completed. Meanwhile, the loaded calcium acetate was completely converted to calcium carbonate when temperature increased further to 470 °C; the calcination temperature of loaded sample was selected as 500 °C. In addition, the phenomenon of decomposition of calcium oxide and CO2 in high temperature region by CaAS-0.2 (CaCO3-loaded SBA-15) was less transparent than pure calcium acetate, which may be due to the interaction between SBA-15 and Ca species.

Figure 4 displays the MS curve of carbon dioxide and acetone during the thermal degradation of Ca(CH3COO)2·H2O. The results showed the decomposition mechanism of calcium acetate. With the increase of temperature, MS signals of acetone and carbon dioxide could be clearly observed. During the thermal treatment, calcium acetate was firstly decomposed to produce calcium carbonate and acetone, following with a part of acetone convert to carbon dioxide. Then, calcium carbonate was further decomposed into calcium oxide and carbon dioxide. The temperature in the decomposition process was vital and should be controlled at about 500 °C. At 500 °C, calcium acetate was completely decomposed but not form calcium oxide.

Fig. 4
figure 4

MS curves of CO2 and acetone during the degradation of Ca(CH3COO)2·H2O

Figure 5 is FT-IR spectra of SBA-15 and CaAS-x samples synthesized with different rCa/Si. The characteristic peak of about 960 cm−1 corresponded to silanol groups (=Si-OH) on the surface of SBA-15. The characteristic peak at 960 cm−1 was gradually weakened with the increase of CaCO3 loading. When the rCa/Si = 0.4, the absorption peak at 960 cm−1 for CaAS-0.4 was deteriorated to be an acromion. Further increase the CaCO3 loading amount, this weak absorption peak did not change or disappear, which indicated the strong interactions between Ca and Si species. At the same time, the absorption bands at 462, 802, and 1079 cm−1 that correspond to Si−O−Si bending vibration [δ(Si−O−Si)], symmetric stretching vibration [vs(Si−O−Si)], and anti-symmetric stretching vibration [vas(Si−O−Si)] did not change (Fig. 5) (Zhang et al. 2022), indicating that the siliceous framework of SBA-15 was maintained after the modification by CaCO3. Compared with SBA-15, new infrared peaks at 1431, 874, and 713 cm−1 assigned to C–O asymmetric stretching vibrations of carbonate (Ramola et al. 2021; Taweekarn et al. 2022) appeared in the CaAS-x samples (Fig. 5). As the content of Ca/Si ratio increased from 0.1 to 0.4 in CaCO3, the intensity of the absorption peak improved gradually (Fig. 5a). Further increasing the rCa/Si ratio to 0.45–0.6, intensity of the absorption peak of CaCO3 changed no longer evidently (Fig. 5b).

Fig. 5
figure 5

FT-IR spectra of SBA-15 and CaAS-x (x = 0.1−0.6) samples synthesized with different Ca/Si molar ratio

Phosphate adsorption on different CaAS-x nanocomposites

Phosphate adsorption onto porous CaAS-x nanocomposites with increasing the Ca/Si molar ratio from 0.1 to 0.6 was investigated in NaCl background solution, in order to determine the optimum synthesis ratio of Ca/Si (Fig. 6). The sorption sites on absorbent (T, mg·L−1), which is defined as the uptake maximum (mg·g−1) multiplied with the adsorbent mass concentration (g·L−1) (Ramola et al. 2021), were used in this study to better compare and describe uptake capacity. As expected, a clear improvement in phosphate uptake at equilibrium was observed for CaAS-x with the increase of Ca/Si molar ratio. For instance, the phosphate uptake amount remarkably improved from 21.2 mg·g−1 (53%, T = 106 mg L−1) to 38.4 mg·g−1 (96%, T = 192 mg·L−1) for CaAS-0.1 and CaAS-0.3 in 200 mg·L−1 P solution at pH 7.0, respectively (Fig. 6). It probably ascribed to the increase of the adsorption sites and surface precipitation promoted by the enhanced Ca species incorporation (House and Denison 2000; Klibanski et al. 2007). Nevertheless, the more introduction of CaCO3 (Ca/Si > 0.3) showed negligible influence in uptake capacity of material. For example, as shown in Fig. 6, uptake capacities for CaAs-0.4 and CaAs-0.6 were 39.2 mg·g−1 (98%, T = 196 mg·L−1) and 39.6 mg·g−1 (99%, T = 198 mg·L−1), respectively. Therefore, the introduction of CaCO3 on SBA-15 material played a crucial role to improve phosphate uptake. The estimated maximum T for CaAs-x was ~ 198 mg·L−1 for 200 mg·L−1 phosphate adsorption at pH 7.0, when Ca/Si molar ratio was greater than 0.3. The adsorption experiments revealed that 200 mg·L−1 of P can be efficiently absorbed by the synthesized CaAS-x (x ≥ 0.3) at pH 7.0 (Fig. 6). In another words, the optimum Ca/Si ratio for synthesized CaAS-x needs to be greater than 0.3 for efficient removal of phosphate (>200 mg·L−1).

Fig. 6
figure 6

Phosphate adsorption (200 and 500 mg L−1) onto synthesized CaAS-x nanomaterials as a function of Ca/Si molar ratio

To further reveal the relation between the Ca/Si molar ratio of CaAS-x nanocomposites and the corresponding removal capacity to phosphate, the higher concentration of phosphate (500 mg·L−1) was also addressed for comparison in a systematic fashion (Fig. 6). It was found that CaAS-x had a similar increase of removal efficiency to higher phosphate with the increase in Ca/Si molar ratio from 0.1 to 0.55 (Fig. 6). For instance, CaAS-0.55 (Ca/Si = 0.55) had a high removal efficiency of 92 mg·g-1 (92%, T = 460 mg·L−1), while CaAS-0.1 with Ca/Si molar ratio of 0.1 had a lowest removal capacity of 42 mg·g−1 (42%, T = 210 mg·L−1). It was agreed with the increase of phosphate uptake with increasing Ca species incorporation in synthesized material (Vohla et al. 2011). The maximum phosphate adsorption efficiency of CaAS-0.55 might be attributed to the maximum introduction of CaCO3 in mesoporous SBA-15 without increasing SiO2 lattice parameters as shown in Fig. 1. This result was consistent with previous study that the effective removal of strontium by manganese dioxide–loaded SBA-15 (Dan et al. 2020). Note that phosphate adsorption improved with increasing initial phosphate concentration (Fig. 6). For instance, CaAS-0.55 showed the uptake of 38.8 mg·g−1 and 92.0 mg·g−1 to 200 and 500 mg L−1 phosphate (Fig. 6), respectively. This was consistent with previous study (Moharami and Jalali 2013). Herein, CaAS-x with Ca/Si > 0.5 was ideal adsorbent for high phosphate removal from wastewater at pH 7.0. The maximum phosphate uptake by CaAs-0.55/0.6 (92.0 mg·g−1) was obviously stronger than that of most artificial materials and natural adsorbents (Xu et al. 2014). For example, the sorption capacities of kaolinite (natural adsorbents), zeolite, and mesoporous MgO microspheres (artifact) were 0.28–0.32 (Peen and Warren 2009), 41.17 (Chen et al. 2006), and 3.1–75.1 mg·g−1 (Zhou et al. 2011), respectively. Noted that the phosphate adsorption capacity of CaAS-x nanocomposites was primarily dependent on the CaCO3 content, not BET surface area (SBET) of the adsorbent, since SBET of CaAS-x samples decreased with increasing the Ca:Si ratio, while the phosphate adsorption capacity of CaAS-x samples improved (Table 1; Fig. 6).

Phosphate adsorption kinetics of CaAS-0.55 material

Figure 7 a shows the phosphate adsorption kinetics of CaAS-0.55, pristine CaCO3, and mesoporous SBA-15 materials. The phosphate adsorption capacity of CaAS-0.55 nanocomposite initially raised up fast in first 4 h and then gradually reached equilibrium after 6 h (Fig. 7a). For example, CaAS-0.55 had a 58.8 mg·g−1 of phosphate adsorption capacity. In contrast, pristine CaCO3 displayed a relatively lower uptake about 5.1 mg·g−1 in first 2 h, which was similar to that (3.7 mg·g−1) of SBA-15. The phosphate uptake by CaCO3 slowly increased until achieving the adsorption equilibrium at 18 h (Fig. 7a). Overall, CaAS-0.55 showed the much stronger phosphate removal ability than pristine CaCO3 and mesoporous SBA-15.

Fig. 7
figure 7

Phosphate adsorption kinetics (a) and isotherms (b) of CaAs-0.55, pristine CaCO3 and mesoporous SBA-15; effect of initial solution pH on phosphate adsorption on CaAs-0.55 (c), and pre-adsorption and desorption dynamics of phosphate on CaAS-0.55 in 10 mM NaCl at pH 7.0 (d)

Phosphate adsorption isotherms of CaAS-0.55 material

In order to quantify the maximum phosphate adsorption capacity, the phosphate adsorption isotherms of the optimized material (CaAS-0.55), mesoporous SBA-15, and CaCO3 were compared and investigated. The adsorption capacities of CaAS-0.55 and CaCO3 were remarkably improved with the increasing of initial phosphate concentration (Fig. 7b). The maximum adsorption capacity of phosphate on CaAS-0.55 and CaCO3 reached 102.0 and 98.6 mg·g−1. In contrast, the pure siliceous SBA-15 showed a weaker adsorption capacity of 3.9 mg·g−1 (Fig. 7b). This indicated that CaCO3 nanoparticles is somehow the primary species that are beneficial for improving phosphate removal capability of the CaAS-0.55.

pH effect on phosphate adsorption of CaAS-0.55 material

Solution pH effect on phosphate adsorption performance of CaAS-0.55 was shown in Fig. 7c. The CaAS-0.55 material showed higher stronger adsorption capacity at lower pH. For example, the phosphate uptakes were about 92 mg·g−1 at pH values of 3−5, while that decreased to 51−48 mg·g−1 at pH 7−11 (Fig. 7c). Accordingly, the final pH increased after adsorption reactions reaching equilibrium, which was likely due to the formation of calcium phosphate (Xu et al. 2014a). The underlying mechanisms would be discussed later in details.

Desorption of phosphate on CaAS-0.55 material

Figure 7d illustrates the pre-adsorption isotherm and desorption dynamics of phosphate on the surface of CaAS-0.55 nanocomposite at pH 7.0. The phosphate uptake of CaAs-0.55 improved intensively from 0.62 to 41.5 mg·g−1 (0.020 to 1.337 mmol·g−1) with increasing equilibrium concentration of phosphate from 0.024 to 0.194 mol·L-1. Desorption dynamics results showed that the phosphate desorption from CaAs-0.55 surface relatively remained slightly around 2.21–1.50% at first 5 days, and even unchanged until the 13th day (Fig. 7d). This indicates that the phosphate adsorption on the surface of CaAS-0.55 was too strong to be released, since the chemisorption of phosphate was irreversible. Thus, the synthesized CaAS-0.55 showed great removal capacity to phosphate due to specific surface characteristics controlling the binding force change (Moharami and Jalali 2013).

Adsorption mechanisms

Modeling analysis

The adsorption kinetics of phosphate on CaAS-0.55 could be fitted well by the pseudo-first-order model (R2 > 0.990) with k1 constant of 0.53 h−1, suggesting a fast adsorption rate at the initial reaction stage (Fig. 8a; Table 2). Moreover, the adsorption kinetics was also in accordance with the pseudo-second-order model (R2 > 0.99), implying chemical adsorption played the dominant role in this adsorption system (Fig. 8a; Table 2). However, the adsorption kinetics of CaCO3 failed to be fitted by both models, possibly because adsorption did not achieve equilibrium. Siliceous mesoporous SBA-15 showed a relatively slower phosphate removal rate with a pseudo-first-order k1 constant of 0.47 h−1 and a pseudo-second-order k2 constant of 0.067 mg·g−1·h−1 (Fig. 8a, b; Table 2), respectively.

Fig. 8
figure 8

Phosphate adsorption kinetics fitted by the pseudo-first-order model (a) and the pseudo-second-order model (b)

Table 2 Parameters obtained by fitting phosphate adsorption kinetics of materials using the pseudo-first-order and pseudo-second-order models

Phosphate adsorption isotherms on CaAS-0.55, CaCO3, and SBA-15 adsorbents were further analyzed by Langmuir and Freundlich equations. As shown in Table 3, Langmuir model showed a better fitting than Freundlich model due to the higher correlation coefficients of R2 > 0.97. This implied that the adsorption amount of phosphate onto these materials slowly increased with the increase in initial concentration of phosphate, and then approached to the maximum value. Moreover, CaAS-0.55 had a maximum monolayer adsorption capacity of 114.21 mg·g−1 to phosphate, which was greatly stronger than 9.38 mg·g−1 monolayer adsorption capacity of SBA-15 (Table 3).

Table 3 Fitting parameters obtained by modeling phosphate adsorption isotherms of materials

FT-IR analysis

FT-IR spectra of CaAS-x (x = 0.1–0.6) series in Fig. 9 showed that the characteristic peak of =Si-OH at 1079, 802, and 462 cm−1 remained unchanged after CaAS-x materials reacted with phosphate at pH 7.0, indicating the mesoporous SBA-15 as a support for CaCO3 loading without reacting with phosphate. Note that the peaks at 1431, 874, and 713 cm−1 associated with C–O asymmetric stretching vibrations of carbonate (Ramola et al. 2021; Taweekarn et al. 2022) disappeared in Fig. 9, compared with FTIR of CaAS nanocomposites without phosphate as shown in Fig. 5. Instead, two new peaks at the wavelength of 565 cm−1 and 605 cm−1 were assigned to formation of SPO4Ca (Wang et al. 2022a, b) (Fig. 9). This result indicated that the calcium carbonate on CaAS nanocomposites favors the effective chemisorption of phosphate and subsequently formation of phosphate calcium precipitation as the following equations (E.K. Gunawan et al.; Sø et al. 2011; Coreno-Alonso et al. 2014; Wang et al. 2021), which agreed with the exponential growth of phosphate adsorption on CaAS-0.55 as shown in Fig. 5b.

$$\mathrm{CaO}+{\mathrm{H}}_2\mathrm{O}\to {\mathrm{Ca}}^{2+}+2{\mathrm{OH}}^{-}$$
(5)
$${\mathrm{Ca}}^{2+}+{\mathrm{H}\mathrm{PO}}_4^{2-}\to {\mathrm{Ca}\mathrm{PO}}_4^{-}\downarrow +{\mathrm{H}}^{+}$$
(6)
$$2=\mathrm{SOH}+{\mathrm{H}}_3{\mathrm{PO}}_4\leftrightarrow ={\mathrm{S}}_2{\mathrm{PO}}_4^{-}+{\mathrm{H}}^{+}+2{\mathrm{H}}_2\mathrm{O}$$
(7)
$$=\mathrm{SOH}+{\mathrm{Ca}}^{2+}+{\mathrm{H}}_3{\mathrm{PO}}_4\leftrightarrow ={\mathrm{SPO}}_4\mathrm{Ca}+2{\mathrm{H}}^{+}+{\mathrm{H}}_2\mathrm{O}$$
(8)
$$={\mathrm{CaCO}}_3^{-}+{\mathrm{HPO}}_4^{2-}\to ={\mathrm{CaHPO}}_4^{-}+{\mathrm{CO}}_3^{2-}$$
(9)
$$={\mathrm{Ca}\mathrm{CO}}_3^{-}+{\mathrm{Ca}\mathrm{PO}}_4^{-}\to ={\mathrm{Ca}\mathrm{PO}}_4{\mathrm{Ca}}^0+{\mathrm{CO}}_3^{2-}$$
(10)

where =SOH represents the active hydroxyl group bonded on the surface of adsorbent.

Fig. 9
figure 9

FT-IR spectra of CaAS-x samples (x = 0.1−0.6) after reacting with 500 mg·L−1 phosphate at pH 7.0

Additionally, with the increase in Ca/Si molar ratio for CaAS-x sample, these peaks at 565 cm−1 and 605 cm−1 wavenumbers became increasingly apparent, which suggested that increasing Ca/Si molar ratio (0.1–0.6) in CaAS-x increased the formation of phosphate calcium complexation in the mesoporous structure of CaAS-x promoting the phosphate removal efficiency (Fig. 6).

XPS analysis

XPS analysis was conducted to further reveal the possible surface element composition and states on the CaAS nanocomposite (Fig. 10). After reacting with phosphate, the O, Ca, C, and Si elements of CaAS-0.55 showed in full XPS survey spectrum (Fig. 10a). Moreover, the two peaks of O–C=O at 133.2 and 132.1 eV appeared in P 2p spectra (Fig. 10b), which were assigned to CaHPO4 and P=O (Huang et al. 2021; Wang et al. 2021). This could be again attributed to the formation of =SPO4Ca, =CaHPO4, and =CaPO4Ca0 complexation resulting from phosphate chemical adsorption on CaAS-0.55 as Eqs. 810. As shown in Fig. 7c, initial solution pH of 7.0 could increase up to about 9.5 as final pH after CaAS-0.55 reacted with phosphate, which was consistent with primary phosphate species as HPO42– and PO43– in solution during pH range of 7.5–12 (Du et al. 2022; Hasara et al. 2021).

Fig. 10
figure 10

XPS full spectrum (a), and high resolution XPS spectra of P 2p for the CaAS-0.55 after reacting with phosphate (b)

For the high concentration of phosphate removal in wastewater, the challenge is to improve the phosphate adsorption capacity of adsorbents at natural pH since low pH favors phosphate adsorption. Accordingly, by application of CaAS nanocomposites designed as CaCO3 incorporation in mesoporous SBA-15, the multiply growth of phosphate calcium precipitation fast occurrence on the surface of materials significantly improved the phosphate removal efficiency, especially in some sewage with high P concentration. The process conditions can possibly be further optimized by seeking to strike the appropriate balance between the costs and impacts incurred through an increased use of CaAS-x adsorbent and the environmental benefits of attaining low P in the water. In summary, this approach with an easy synthesis is environmental-friendly with high removal efficiency and is suitable for practical deployment.

Conclusions

In this research, a novel mesoporous CaAS-x nanocomposite was synthesized by loading CaCO3 nanoparticles onto SBA-15 through a simple wet-impregnation method. First, by changing the molar ratio of Ca:Si (0.1–0.6) in the original solvent, the CaAS-x materials have been successfully obtained. When the increase of x as Ca/Si molar ratios from 0.1 to 0.6, CaAS-x series showed phosphate uptake percentage increased and then reached maximum. Also, the phosphate adsorption capacity and removal rate of CaAS nanocomposite raised up exponentially with the increase of phosphate concentration. This is because the mesoporous SBA-15 promotes the great disperse of CaCO3 nanoparticles, leading to monolayer adsorption complexation formation of phosphate calcium, which is very stable and irreversible for desorption for long time period. Therefore, the proposed CaAS-0.55 composite might be a promising and efficient adsorbent with stable property for high concentration of phosphate removal from neutral contaminated wastewater.