Introduction

Nowadays, the conservation of water resources is of paramount importance, which could be due to the limited number of available resources in the world. Heavy metals such as lead can affect the activity of microorganisms in the soil, which could, in turn, reduce the fertility of the soil. Heavy metals can also prevent the degradation of materials in the soil and disrupt the natural cycles. In the production of thermoplastic tubes, the use of various additives containing lead compounds and the growing use of these materials in plumbing and water distribution systems have increased the concern regarding the release of such metals as lead in drinking water [1]. Pb is an insidious and cumulative environmental pollutant, which can induce a wide range of physiological, biochemical, and behavioral dysfunctions in living organisms. Excessive amounts of lead can readily accumulate in marine animals like oysters, bivalves, and fishes. Considering its toxicity, non-biocompatibility, and non-biodegradability, it is essential that we remove lead effectively from water and wastewater through appropriate techniques [2].

Accordingly, the efficient removal of heavy metals, lead in particular, has been seriously taken into account. Among the new ways to prevent any environmental pollution, the use of biocompatible nanoadsorbents, which have a high potential for the removal of heavy metal cations, has been proposed. Due to their specific structural, mechanical, and electrical properties, carbon nanotubes (CNTs) have attracted the attention of many researchers so far. In recent years, a considerable bulk of research has focused on the improvement of its applications in diverse fields of technology including the arrangement of carbon nanotubes [3]. A good illustration for that is the use of external substances to fill and coat the outer surface of nanotubes [4, 5]. Therefore, several methods such as sol–gel techniques, which are based on CNTs [6], hydrothermal and solvo-thermal processes [7], and chemical vapor phase deposition [8, 9], have been derived for the synthesis of nanocomposites. On the other hand, the very low solubility of CNTs has challenged their use alone. Due to the strong intermolecular van der Waals bonding, CNTs form clusters or closed structures. The cumulative structure could be the reason for their hydrophobic properties and their insolubility in water. The cumulative structure continues in the same vein until compounds such as biomolecules or functionalized polymers are either physically or chemically connected to the surface of the nanotubes [10]. Due to the fact that magnetic nanoparticles of iron (III) oxide, Fe3O4, are highly abundant and have a specific surface area, they can play an important role, as environmentally friendly materials, in adsorbing pollutants and removing heavy metals. However, magnetic nanoparticles tend to be accumulated in the form of great clusters. This can lead Fe3O4 nanoparticles to lose both their unique properties and their dispersion due to the anisotropic dipole interactions [10]. One way to prevent their accumulation is to spread them on a specific area of supports such as carbon fibers [11] and graphite [12]. In adsorption processes, the adsorption efficiency is influenced by several parameters such as pH, temperature, contact time, the concentration of pollutants, the particle size of the adsorbent, and the nature of adsorbents and the pollutants. Pre-filtration is a necessary step for the removal of suspended particles and oil, which can reduce the efficiency of the adsorption.

Nanomaterials, such as CNTs and composites of CNTs, have been reported to be promising for the removal of heavy metals and organic pollutants [13]. Research findings suggest that CNTs matrix can accelerate the electron transport and facilitate the adsorption activities of organic and inorganic compounds on the surface of magnetic nanoparticles dispersed. Therefore, compared to common supports such as silica, alumina, and zeolite, CNTs are more efficient. An earlier study by Soldatov et al. demonstrated that polypeptides’ nanotubular structures with tunable properties can be a challenging alternative for CNT. Experimental studies also show that l-alanyl-l-valine (AV) and l-valyl-l-alanine (VA) have novel porous materials, which can form channel-like structures [14]. However, DFT calculations show that the HOMO–LUMO band gap of these materials is larger than those of CNTs. Thus, further investigations need to be carried out to design novel materials comparable to those of CNTs [15]. As a result, their great capacity to adsorb a wide range of contaminants, their fast kinetics, and their large specific surface area are among their advantages for water and wastewater treatment. Fe3O4/CNT magnetic nanocomposite can be used for water treatment. They have the ability to remove contaminations such as bacteria and viruses through adsorption. It is worth mentioning that in order to pressurize the flow of CNTs, very little energy is needed. CNTs are suitable in emergency situations because they have a very low tendency for fouling [16, 17]. Fe3O4/CNT magnetic nanocomposite can also be incorporated into membranes as a nanomesh or used in conjunction with membranes to increase water treatment.

Many adsorbents have been used for the removal of organic compounds and heavy metals from water and wastewaters [18,19,20,21]. The results suggest that CNT is an effective support, which can prevent the agglomeration of such metal oxides as TiO2 and MnO2 [20, 21]. Therefore, some of the shortcomings of Fe3O4 magnetic nanoparticles and CNTs can be enhanced by loading Fe3O4 magnetic nanoparticles on CNTs as the substrate when they participate in the adsorption process alone. This can increase the efficiency of pollutant adsorption. In this study, through a chemical deposition method, Fe3O4 nanoparticles were decorated on CNTs. Then, magnetic nanocomposite was used as an adsorbent with high sorption property. Finally, the parameters affecting the adsorption capacity and the removal of lead ions from aqueous solution were studied. The results demonstrated that the magnetic nanocomposite possessed desorption, recyclability, and reusability properties.

Materials and methods

All the materials used in this study had the highest analytical grade and were purchased from Merck Company. 1000 mg/L lead stock solution was prepared through dissolving lead salt (II) nitrate in deionized water. The solutions with the desired concentrations were then obtained through diluting the stock solution.

Purification and functionalization of CNTs

Five grams of CNTs was dissolved in 33 mL of distilled water, and the solution was placed on a hot plate stirrer at the temperature of 50 °C for 10 min. Next, 25 mL sulfuric acid and 33 mL nitric acid were added to it. Then, the sample was placed in the ultrasonic device at the temperature of 50 °C for 30 min. Again, after this step, the solution was placed on hot plate stirrer at the temperature of 90 °C for 1 h. 12 mL of sulfuric acid and 15 mL of nitric acid were then added to the sample, and ultrasonic was conducted for 10 min. Finally, the resulting solution was placed on a hot plate stirrer at the temperature of 50 °C for half an hour. After about 1 h, the functionalized CNTs were passed through filter paper and rinsed with distilled water. The desired sample was poured to the certain volume of water so that it could be used for the preparation of nanocomposite [21].

Preparation of Fe3O4/CNT (1:1) using chemical deposition technique

At this point, 0.5 g of functionalized CNTs was mixed with 0.43 g of FeCl3. 6H2O and 1.17 g of FeCl2. 4H2O in 50 mL of distilled water. It was then stirred until the mixture was well mixed. Then, 25 mL of ammonium hydroxide was added to the resulted mixture. After 3 min, it was passed through the filter paper and rinsed with distilled water to be neutralized. Then, Fe3O4/CNT nanocomposite with the ratio of (1:1) was put in an electric furnace at 120°C so that it could be dried [22, 23].

Characterization of Fe3O4/CNT magnetic nanocomposite

The structure of the synthesized Fe3O4/CNT nanocomposite was characterized by powder X-ray diffraction (XRD) through a XRD, Philips, Pw, 1800 diffractometer with Cu kα radiation (λ = 0.154 nm). Scans were performed over 2θ from 20° to 80°. The morphology of the synthesized magnetic nanocomposite was characterized by transmission electron microscope (TEM) analysis using a TEM, Philips, CM10-100 kV microscope. For TEM analysis, the sample was obtained by dipping a holy grid into Fe3O4/CNT, which was dispersed in ethanol under ultrasonication and evaporated at room temperature. Fourier transform infrared spectrometer (FTIR, Bruker Tensor 27) was applied to characterize the functional groups in the frequency range of 400–4000 cm−1 and the resolution of 4 cm−1. The sample was prepared in a KBr pellet.

The adsorption experiment

The impact of such variables as the adsorbent dosage (0.04–0.16 g), the pH (3 ± 0.5–6 ± 0.5), the temperature (0–60 °C), and the contact time (10–40 min) on the adsorption process of Fe3O4/CNT was studied. In total, 0.1 g of nanocomposite was stirred in 50 mL of lead solution at a concentration of 20 ppm at room temperature for 30 min at pH = 6 ± 0.5. Then, the solution was passed through filter paper (Whatman 42), and the solution under the filter was collected for atomic absorption spectroscopy (novAA 4000P AAS). Similarly, the effect of different factors was performed in accordance with the testing conditions, and the solution under the filter was also collected for atomic absorption spectroscopy.

The equilibrium adsorption capacity \( q_{e} \)(mg/g) of metal ions was obtained using the following equation:

$$ q_{e} = \frac{{(C_{0} - C_{e} ) }}{m}V $$
(1)

In the above equation, C 0 and C e are the initial concentrations of metal ions and the equilibrium concentration of metal ions in solution (mg/L), respectively. V is the volume of the solution (L) and m is the amount of adsorbent (g). The metal ion removal rate was obtained using Eq. 2.

$$ \% R = \frac{{(C_{0} - C_{e} ) }}{{C_{0} }} \times 100 $$
(2)

where C 0 and C e (mg/L) are the initial and equilibrium concentrations of the Pb2+ in solution, respectively.

The desorption experiment

0.1 g of Fe3O4/CNT nanocomposite (1:1) was stirred on a hot plate stirrer in 50 mL of lead solution at a concentration of 20 ppm at room temperature and at pH = 6 ± 0.5 for 30 min. Then, the solution was passed through filter paper (Whatman 42), and the solution under the filter was collected for atomic absorption spectroscopy. Then, the nanocomposite on filter paper along with some distilled water was placed on a hot plate to be boiled for about 10 min. The experiment was repeated multiple times in order to obtain the adsorbent recyclability.

Application to real wastewater sample

The above experimental method was applied for the removal of Pb ion in real sample with complex media. Before adding the adsorbent, the samples were filtered through a 0.45-μm Whatman filter paper and the pH was adjusted to optimum pH level. The quantitative measurement of Pb2+ was done by standard addition technique. First, the sample was taken into the flame-AAS and the absorption was measured. After the addition of 100 µl of standard solution, the procedure was repeated four times and the absorption was measured. After all the measurement, extrapolation curve was plotted between absorption vs concentration. The extrapolation curve will show the amount of Pb2+ present in the sample solution. This procedure was repeated three times, and the removal percentage value of Pb ion was calculated. The same procedure was applied for the quantitative measurement of copper, zinc, nickel, and cadmium using flame-AAS by standard addition technique.

Results and discussion

Properties of synthesized Fe3O4/CNT magnetic nanocomposite

In order to study the type of functional groups on the surface of CNTs, FTIR spectra were taken from the MWCNT before and after functionalization, and Fe3O4/CNT. Figure 1 shows FTIR spectra of CNTs before and after the pickling process. Figure 1a shows the non-functionalized CNTs. The peaks observed at the wavelengths of 1460 and 1629 cm−1 are related to C=C bond vibration in CNTs. Moreover, the peak at the wavelength of 3443 cm−1 attributes to the presence of hydroxyl group. Figure 1b reveals FTIR spectra of functionalized CNTs. With pickling process, the peak intensity of C=C dropped, and in contrast, the peaks with the wavelengths of 1032, 1469, 1525, and 1713 cm−1 were established, which were related to the functional groups C–O, OC=O, C–O–C, and C=O in the process of ultrasonic and pickling. The vibration of hydroxyl functional group is also within the wavelength range of 3438 cm−1. The absorption was also observed in the range of 2381 and 2920 cm−1, which were, respectively, related to the vibration band of the carboxyl group and stretching band of –CH2– methylene group in both spectra. Peaks under the wavelength of 600 cm−1 are related to inorganic catalysts used in the synthesis of CNTs [23, 24].

Fig. 1
figure 1

FTIR spectrum of MWCNTs a before functionalization and b after functionalization

Figure 2 shows FTIR spectrum of Fe3O4/CNT. As it can be seen, there is a strong and broad absorption band in the range of 586.3 cm−1. This absorption band is indicative of the vibrational frequency of the bond Fe–O of Fe3O4 nanoparticles, which decorated the CNT surface. The presence of absorption band for hydroxyl functional groups in the wavelength of 3443 cm−1 in magnetic nanocomposite shows that only a fraction of the sites has been occupied by Fe3O4.

Fig. 2
figure 2

FTIR spectrum of Fe3O4/CNT magnetic nanocomposite

According to FTIR spectroscopy, functional groups on the surface of CNTs are very weak. It shows that the electrostatic interaction may be responsible for the attachment of Fe3O4 nanoparticles on the outside part of CNTs. This can imply that the unique sp2 structure of the CNTs is not destroyed by acid pretreatment and their electronic properties remain unchanged. Furthermore, in order to study the synthesis and morphology of functionalized CNTs and Fe3O4/CNT more accurately (1:1), TEM images were taken. By comparing images a and b in Fig. 3, it can be seen that Fe3O4 is separated and the spherical nanoparticles are stuck well on the surface of CNTs.

Fig. 3
figure 3

TEM images of a purified CNTs and b Fe3O4/CNT magnetic nanocomposite

Figure 4 shows the X-ray diffraction patterns of synthesized magnetic nanocomposites and the synthesized Fe3O4 nanoparticles. The XRD pattern of the Fe3O4 nanoparticle is shown in Fig. 4b. The XRD pattern indicates that the magnetite nanoparticles were well crystallized (JCPDS card: No. 89-0688). The major diffraction peaks appear at 18.30°, 30.3°, 35.7°, 43.1°, 53.7°, 57.3°, 62.6°,72.9°, and 74.6°, which correspond to the (220), (311), (400), (331), (422), (511), (620), and (622) crystal planes of Fe3O4. As shown in Fig. 4b, the X-ray diffraction of the Fe3O4 for the highest peak, it is clear that the dimensions of Fe3O4 nanoparticles are about 10.7 nm. But by observing Fig. 4a, the diffraction pattern of synthesized magnetic nanocomposite, the dimensions of Fe3O4 nanoparticles dropped to 1.57 nm. The reason for this could be the CNTs matrix, which has limited space for Fe3O4 nanoparticles. The XRD pattern for the Fe3O4/CNT nanocomposite indicates the dual phases of pure CNT and Fe3O4, as shown in Fig. 4a. The intensities and peak positions of the broad diffraction peaks at 2θ = 25°, 36°, and 62° apparently indicated that the CNTs structure was preserved even after being decorated with magnetite [25]. No peaks corresponding to impurities were detected. The peak broadening of the pattern reveals that the as-prepared magnetite nanoparticles are significantly small.

Fig. 4
figure 4

X-ray diffraction pattern of a Fe3O4/CNT magnetic nanocomposite and b Fe3O4 nanoparticles

Adsorption process

The effect of adsorbent dosage

As it is shown in Fig. 5, the amount of heavy metal adsorption increased by increasing the amount of Fe3O4/CNT magnetic nanosorbent and reached 95.5% in 0.16 g. This could be attributed to the fact that any increase in the amount of nanosorbent could result in an increase in the number of active sites for the adsorption. These results indicate that Fe3O4/CNT magnetic nanocomposite is a suitable adsorbent for removing heavy metals from aqueous solutions. The adsorption condition included the solution pH = 6 ± 0.5, 20 mg/L of the initial lead ion concentration, and 30-min contact time at 25 ± 1 °C.

Fig. 5
figure 5

Effect of the dosage of Fe3O4/CNT nanocomposite on Pb2+ adsorption. Adsorption conditions: solution pH = 6 ± 0.5, 20 mg/L initial lead ion concentration, and 30-min contact time at 25 ± 1 °C

The effect of temperature and contact time

As indicated in Fig. 6, the results depict that the highest uptake of Pb2+ ions occurred in 30 °C. However, with the increase in temperature to over 30 °C, the kinetic energy of adsorbed Pb2+ ions was enhanced and the probability of the desorption process increased. The impact of contact time on Pb2+ sorption onto the Fe3O4/CNT was also examined. The adsorption condition included the solution pH = 6 ± 0.5, 20 mg/L of the initial lead ion concentration, 0.1 g of Fe3O4/CNT, and 30-min contact time. The reaction was carried out with contact time of 10, 20, 30, and 40 min. The results, according to Fig. 7, indicated that the maximum removal percentage was reached at 30 min, after which the reaction achieved equilibrium. The adsorption condition included the solution pH = 6 ± 0.5, 20 mg/L of the initial lead ion concentration, 0.1 g of Fe3O4/CNT, and t = 25 ± 1 °C.

Fig. 6
figure 6

Effect of temperature on Pb2+ adsorption. Adsorption conditions: solution pH = 6 ± 0.5, 20 mg/L initial lead ion concentration, 0.1 g of Fe3O4/CNT, and 30-min contact time

Fig. 7
figure 7

Effect of contact time on Pb2+ adsorption. Adsorption conditions: solution pH = 6 ± 0.5, 20 mg/L initial lead ion concentration, 0.1 g of Fe3O4/CNT, and temperature = 25 ± 1 °C

The effect of pH

The maximum amount of lead ion adsorption occurred in pH = 3 ± 0.5 (Fig. 8). However, in practice, pH = 3 ± 0.5 cannot be used for lead adsorption as it is highly acidic. With the increase in pH, the competition between H+ ions in the environment and Pb+2 metal ions adsorbed onto the surface of nanocomposite increases, but the adsorption efficiency decreases, as a result. Also, at alkaline pH values, lead ions precipitate quickly, and the reduction in the concentration of lead occurs in the form of Pb (OH)2 and PbOH+ complexes. Therefore, the lead adsorption by Fe3O4/CNT nanocomposite was studied in pH = 6 ± 0.5. The adsorption condition included 0.1 g of Fe3O4/CNT magnetic nanocomposite, 20 mg/L of the initial lead ion concentration, and 30-min contact time at 25 ± 1 °C.

Fig. 8
figure 8

Effect of the pH on Pb2+ adsorption. Adsorption conditions: solution 0.1 g of Fe3O4/CNT magnetic nanocomposite, 20 mg/L initial lead ion concentration, and 30-min contact time at 25 ± 1 °C

The desorption experiment

Desorption studies were conducted to assess the recyclability and the reusability of Fe3O4/CNT magnetic nanocomposite. According to Table 1, it can be mentioned that the lead desorption efficiency was high from the surface of magnetic nanosorbent. After six consecutive cycles, the removal efficiency was still higher than 85%.

Table 1 Evaluation of the recyclability of Fe3O4/CNT magnetic nanocomposite

Kinetics of adsorption

The pseudo-first-order and pseudo-second-order kinetic models were used to examine the nature of adsorption mechanism involved during the adsorption process [26]. The pseudo-first-order equation may be stated according to:

$$ \log \,(q_{e} - q_{t} ) = \log q_{e} - \frac{{K_{1} }}{2.303}\,t $$
(3)

where q t is the amount of Pb2+ adsorbed at any time t (mg/g) and q e is the amount of Pb2+ adsorbed at equilibrium (mg/g). K 1 (min−1) is the rate constant of the pseudo-first-order adsorption, which can be calculated from the slope of the linear plot of \( \log \,(q_{e} - q_{t} ) \) versus time, t. The linearized form of the pseudo-second-order model is:

$$ \frac{t}{{q_{t} }} = \frac{1}{{K_{2} q_{{_{e} }}^{2} }} + \frac{1}{{q_{e} }}t $$
(4)

where q e is the amount of Pb2+ adsorbed on the Fe3O4/CNT nanocomposite at equilibrium (mg/g) and qt is the amount of Pb2+ adsorbed on the Fe3O4/CNT nanocomposite at any time, t (mg/g). K 2 (g/mg min) is the rate constant of the pseudo-second-order adsorption, which can be calculated from the intercept of the plot of t/q t against t.

The correlation coefficients (R 2) for the pseudo-first-order and pseudo-second-order were 0.8666 and 0.9994, respectively (Table 2). For the pseudo-second-order, the theoretical value of q e agrees very well with the experimental value. Therefore, it can be concluded that pseudo-second-order model might well be used to express the adsorption kinetics. This model is based on the assumption that the rate-limiting step may be chemisorptions, which involves the valence forces through sharing or the exchange of electrons between the Fe3O4/CNT and the lead ions [27]. In chemisorption, the Pb2+ ions can adhere to the Fe3O4/CNT surface by forming chemical bonds and tend to find sites, which can maximize the coordination [28].

Table 2 Pseudo-first order and pseudo-second order kinetic parameters for Fe3O4/CNT magnetic nanocomposite

The adsorption isotherms

The Langmuir model supposes that the adsorption happens on a monolayer surface at the specific sites of the adsorbent. A well-known linear form of Langmuir model is given by:

$$ \frac{{C_{e} }}{{q_{e} }} = \frac{{C_{e} }}{{q_{\hbox{max} } }} + \frac{1}{{q_{\hbox{max} } K_{L} }} $$
(5)

where q max is the maximum amount of the adsorption capacity (mg/g) of Pb2+, which is adsorbed to form a complete monolayer covered on the surface at the equilibrium, C e is the equilibrium concentration of lead (mg/L), q e is the amount of lead adsorbed at the equilibrium (mg/g), and K L is the Langmuir constant (L/mg), which is related to the surface affinity for lead. The crucial characteristics of the Langmuir isotherm may be expressed in terms of the equilibrium parameter R L, which is known as the separation factor or the equilibrium parameter.

$$ R_{L} = \frac{1}{{1 + K_{L} C_{0} }} $$
(6)

The R L values indicate that the type of adsorption is either unfavorable (R L > 1), linear (R L = 1), favorable (0 < R L < 1), or irreversible (R L = 0).

The Freundlich isotherm model describes the adsorption on the heterogeneous surfaces with the interaction between the adsorbed molecules and is not limited to the formation of a monolayer. This model presumes that as the adsorbate concentration increases, its concentration on the surface of adsorbent also increases, and correspondingly, the sorption energy exponentially decreases on the completion of the sorption centers of the adsorbent. The well-known expression for the Freundlich model is given as:

$$ \log q_{e} = \log K_{F} + \left( {\frac{1}{{n_{F} }}} \right)\,\log C_{e} $$
(7)

where q e is the amount of Pb2+ adsorbed on the Fe3O4/CNT nanocomposite at equilibrium (mg/g) and K F and n F are the Freundlich constants and the intensity of adsorption, respectively. While the constant K F approximately gives adsorption capacity, 1/n F is a function of the adsorption strength in the adsorption process. The fitting plots of Langmuir adsorption and the Freundlich adsorption of lead onto magnetic nanocomposites are shown in Figs. 9 and 10, respectively. From the results, it can be concluded that most R 2 > 0.9 for both the Freundlich and Langmuir models, suggesting that both models closely fitted the experimental data. However, the regression results indicate that the Freundlich isotherm fitted the experimental results a little better than the Langmuir isotherm, as given in Table 3. The K F and n can increase with any increase in temperature. This can imply that the adsorption capacity of lead ions onto Fe3O4/CNT magnetic nanocomposite can increase, and the degree of heterogeneity of Fe3O4/CNT surface can decrease with the increase in temperature. All values of n are greater than one, suggesting that the adsorption is a physical process [29]. The RL values indicated that the Langmuir isotherm is also favorable (0 < RL < 1).

Fig. 9
figure 9

The Langmuir adsorption plots for lead adsorption onto Fe3O4/CNT. Adsorption conditions: solution pH = 6 ± 0.5, 20 mg/L initial lead ion concentration, 0.1 g of Fe3O4/CNT, and 30-min contact time

Fig. 10
figure 10

The Freundlich adsorption plots for lead adsorption onto Fe3O4/CNT. Adsorption conditions: solution pH = 6 ± 0.5, 20 mg/L initial lead ion concentration, 0.1 g of Fe3O4/CNT, and 30-min contact time

Table 3 Langmuir and Freundlich isotherm constants for the lead adsorption onto Fe3O4/CNT at different temperatures

The qmax from Langmuir isotherm of Fe3O4/CNT magnetic nanocomposite for the removal of lead ions was compared with those of other adsorbents. It is clear from Table 4 that the adsorption capacity of Fe3O4/CNT magnetic nanocomposite was comparable to the previously reported capacities [18, 30,31,32,33,34].

Table 4 Comparing the adsorption capacity of Fe3O4/CNT with the adsorption capacity of different adsorbents for lead ions

Thermodynamic evaluation of adsorption process

In order to determine the mechanism of adsorption process, thermodynamic parameters were calculated. Such thermodynamic factors as Gibbs free energy change (ΔG°) (kJ/mol), enthalpy change (ΔH°) (kJ/mol), and entropy change (ΔS°) (J/mol K) were calculated using the following equations and are given in Table 4.

$$ K_{c} = \frac{{C_{\text{Ae}} }}{{C_{e} }} $$
(8)
$$ \Delta G^{ \circ } = - RT\ln K_{c} $$
(9)
$$ \ln k_{c} = \frac{{\Delta S^{ \circ } }}{R} - \frac{{\Delta H^{ \circ } }}{RT} $$
(10)

where \( C_{\text{Ae}} \) is the amount of lead ions adsorbed per unit mass of Fe3O4/CNT nanocomposite (mg/g), C e is the concentration of Pb2+ in liquid phase (mg/L), K c is the equilibrium constant, R is general gas constant, and T is the temperature in Kelvin.

Thermodynamic parameters can be calculated from different constants [35]. From the slope and the intercept of the linear plot lnK c versus 1/T, ΔH° and ΔS° were calculated (Table 4). As Fig. 11 shows, Van’t Hoff equation does not fully coincide with the actual adsorption process. From the variations of the K c, which was determined using the method from Milonjić [36], K c can be derived from the K F and K L. Based on the data obtained (Table 4), it can be claimed that ΔG° < 0 indicates that the process is spontaneous while the positive values of ΔH° show that the process of lead adsorption is endothermic. The attraction of the Fe3O4/CNT for Pb2+ ions is reflected through the positive values of entropy (∆S°). The small positive values of ΔH° indicate that the adsorption of Pb2+ onto Fe3O4/CNT the bonding between adsorbate and adsorbent is weak. In addition, the ΔG° for physisorption is less than that of the chemisorption. The former is in the range of −20 to 0 kJ/mol, and the latter is between −80 and −400 kJ/mol [37] (Table 5).

Fig. 11
figure 11

Van’t Hoff plot, ln K c versus 1/T for Pb2+ sorption on Fe3O4/CNT magnetic nanosorbent. Adsorption conditions: Pb2+ initial concentrations at 20 mg/L, adsorbent dosage at 0.1 g, 30-min contact time, and pH = 6 ± 0.5 solution

Table 5 Thermodynamic parameters of lead ion adsorption onto Fe3O4/CNT magnetic nanocomposite

Real wastewater sample treatment

Reusability of the adsorbent is vital in economic growth because disposal of adsorbent loaded with heavy metals makes environmental problems. Therefore, reusability must create a small amount of metal concentrate suitable for metal recovery without detrimental effect on the capacity of adsorbent. In this study, to gain the reusability of the Fe3O4/CNT for battery wastewater and to evaluate practical application of magnetic nanocomposite, the adsorption followed by desorption cycle was repeated five times with the same amount of adsorbent. The relative high COD content (709 mg/l) of the wastewater is indicative of the presence of organic compounds in the wastewater. For the first cycle, the initial COD of 709 mg/l decreased to 680 mg/l, resulting in a removal efficiency of about 4%. However, the removal efficiency of Pb2+ ions is higher than 80% after five successive cycles. The obtained results confirm that the presence of organic compounds does not have significant effect on the removal percentage of Pb2+ ions. Initial ion concentration in battery wastewater was carried out for copper: 9.8 ± 0.26 mg/L, lead: 5.1 ± 0.37 mg/L, zinc: 11.7 ± 0.19 mg/L, nickel: 2.3 ± 0.23 mg/L, and cadmium: 0.35 ± 0.08 mg/L. The magnetic nanocomposite showed high recovery with approximately stable efficiency (Fig. 12). This indicates that the removal efficiencies of Pb(II) are hardly influenced by the real wastewater matrix. The results of this study show the high efficiency and capability of Fe3O4/CNT as a potential adsorbent for uptake of Pb2+ ions from wastewater resources.

Fig. 12
figure 12

Removal efficiency of Pb2+ from battery wastewater in different cycles by Fe3O4/CNT magnetic nanocomposite

Conclusions

Fe3O4/CNT magnetic nanocomposite can act as an efficient adsorbent for the removal of heavy metal lead. The experimental data indicate that the adsorption capacity depends on variables such as time, temperature, the adsorbent dosage, and pH. The maximum adsorption was observed in pH = 3±0.5, the concentration of 0.16 g of Fe3O4/CNT, and the contact time of 40 min at 30°C. The highest percentage of lead removal in optimum condition was 95.5%. In practice, at very low, pH does not work because the speed of water and sewage pipe corrosion process increases. In addition, at alkaline pH, it is possible to have the deposition of lead in the form of hydroxide complexes of Pb(OH)2 and PbOH+. Also, for high alkalinity water, a problem associated with MIC may occur. Therefore, the process of adsorption in this study was evaluated at pH = 6±0.5. The kinetics of adsorption followed the pseudo-second-order model. The thermodynamic evaluation demonstrates that the lead adsorption process is a spontaneous and endothermic reaction. The process was successfully applied in the treatment of battery wastewater where the presence of organic compounds, copper, lead, zinc, nickel, and cadmium is hardly influenced the removal efficiency of lead ions even after five successive cycles. Based on the results, it can be seen that the synthesized Fe3O4/CNT magnetic nanocomposite is highly efficient as a recyclable tool in the efficient removal of heavy metals from water and wastewater resources.