Green Synthesis of Fe–Cu Bimetallic Supported on Alginate-Limestone Nanocomposite for the Removal of Drugs from Contaminated Water

In this study Fe–Cu supported on Alginate-limestone (Fe–Cu/Alg–LS) was prepared. The increase in surface area was the main motivation for the synthesis of ternary composites. Scanning electronic microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), and transmission electron microscopy (TEM) were used to examine the surface morphology, particle size, percentage of crystallinity, and elemental content of the resultant composite. Fe–Cu/Alg–LS was used as an adsorbent for the removal of drugs such as ciprofloxacin (CIP) and levofloxacin (LEV)from contaminated medium. The adsorption parameters were computed using kinetic and isotherm models. The maximum removal efficiency of CIP (20 ppm) and LEV (10 ppm) was found to be 97.3% and 100%, respectively. The optimal conditions were pH 6 and 7 for CIP and LEV, optimum contact time 45, 40 min for CIP and LEV, and temperature of 303 K. The pseudo-second-order model, which confirmed the chemisorption properties of the process, was the most appropriate kinetic model among the ones used, and the Langmuir model, which was the most appropriate isotherm model. Moreover, the parameters of thermodynamics were also assessed. The results imply that the synthesized nanocomposites can be used to remove hazard materials from aqueous solutions.


Introduction
In the last decade, pharmaceutical residues, typically at low concentrations, have been detected in the water cycle, including surface waters, wastewater, groundwater and, to a lesser extent, drinking-water. Their presence in water, even at very low concentrations is a potential risk not only to human health from exposure to traces of pharmaceuticals via drinking-water, but also to aquatic organisms and other components of the environment [1,2]. Accordingly, there is a significant need to propose cost-effective and feasible alternatives to eliminate these toxic products from the environment. In this investigation, the fluoroquinolone antibiotics ciprofloxacin (CIP) and levofloxacin (LEV) are used as model antibiotics. In river water, CIP and LEV antibiotics were found in amounts ranging from 0.2 to 18.8 ng/L and 0.3 to 6.0 ng/L, whereas industrial wastewater had concentrations of 0.91 to 99.3 ng/L and 0.5 to 19,981 ng/L, respectively [3]. These antibiotics were detected in drinking water after conventional water treatment techniques such as flocculation, sedimentation, and chlorination. As a result, alternative technologies for treating effluents containing antibiotics, such as electrocoagulation [4], membrane filtration [5], advanced oxidative process [6], or adsorption, have received a lot of attention [7][8][9]. The adsorption Table 1. Physicochemical properties of ciprofloxacin and levofloxacin.

Synthesis of Copper Nanoparticles
The production of green copper nanoparticles was performed using green tea leaf extracts, according to the technique explained by Asghar [25]. Green tea leaves were purchased from a local market in Cairo (Egypt). The leaf extracts of each tea were separated by exactly weighing 10 g of tea leaves and transferring into a 250 mL conical flask already containing 100 mL of DI-H2O. The mixtures were then heated at 80 °C for 10 min, cooled and filtered. Copper nanoparticles from black tea were synthesized using a CuSO4 solution with the corresponding tea leaves extract. Briefly, CuSO4 (1 mmol/L) and tea leaf extracts were used in a 4:1 ratio by volume, and the solution was subjected to continuous stirring at 80 °C for 10 min. The resultant suspensions were settled at room temperature for 24 h to complete the reaction, then filtered and washed three times with DI-H2O to remove any unbound molecules. Lastly, Cu-NPs were dried at 65 °C for 3 h.

Synthesis of Fe-Nanoparticles
Black tea leaves were used to prepare Fe-nanoparticles. Black tea leaves was washed many times with tap water and then with double distilled water to eliminate impurities. The washed tea was dried at 105 °C for 24 h in a hot air oven and then powder form obtained after grinding of dried tea. Extraction procedure was carried out according to Anamika et al. [14]. An extraction of tea sample was prepared with a 1:10 ratio of tea powder to water, and the extraction was carried out at 80 °C for 30 min. Then the extract was filtered after cooling at room temperature and then 0.1 M of FeSO4 solution was added to the tea extract at a ratio of 1:3 (1-part FeSO4 and 3-part extract) [26,27]. Then sodium hydroxide solution was added, dropwise. During this process, the ferrous ions were converted into nanometallic particles rapidly. Separation of prepared black nanoparticles was performed by filtration and then washed with double distilled water. Separated nanoparticles were subsequently dried in a vacuum at 50 °C for 24 h.

Synthesis of Copper Nanoparticles
The production of green copper nanoparticles was performed using green tea leaf extracts, according to the technique explained by Asghar [25]. Green tea leaves were purchased from a local market in Cairo (Egypt). The leaf extracts of each tea were separated by exactly weighing 10 g of tea leaves and transferring into a 250 mL conical flask already containing 100 mL of DI-H2O. The mixtures were then heated at 80 °C for 10 min, cooled and filtered. Copper nanoparticles from black tea were synthesized using a CuSO4 solution with the corresponding tea leaves extract. Briefly, CuSO4 (1 mmol/L) and tea leaf extracts were used in a 4:1 ratio by volume, and the solution was subjected to continuous stirring at 80 °C for 10 min. The resultant suspensions were settled at room temperature for 24 h to complete the reaction, then filtered and washed three times with DI-H2O to remove any unbound molecules. Lastly, Cu-NPs were dried at 65 °C for 3 h.

Synthesis of Fe-Nanoparticles
Black tea leaves were used to prepare Fe-nanoparticles. Black tea leaves was washed many times with tap water and then with double distilled water to eliminate impurities. The washed tea was dried at 105 °C for 24 h in a hot air oven and then powder form obtained after grinding of dried tea. Extraction procedure was carried out according to Anamika et al. [14]. An extraction of tea sample was prepared with a 1:10 ratio of tea powder to water, and the extraction was carried out at 80 °C for 30 min. Then the extract was filtered after cooling at room temperature and then 0.1 M of FeSO4 solution was added to the tea extract at a ratio of 1:3 (1-part FeSO4 and 3-part extract) [26,27]. Then sodium hydroxide solution was added, dropwise. During this process, the ferrous ions were converted into nanometallic particles rapidly. Separation of prepared black nanoparticles was performed by filtration and then washed with double distilled water. Separated nanoparticles were subsequently dried in a vacuum at 50 °C for 24 h.

Synthesis of Copper Nanoparticles
The production of green copper nanoparticles was performed using green tea leaf extracts, according to the technique explained by Asghar [25]. Green tea leaves were purchased from a local market in Cairo (Egypt). The leaf extracts of each tea were separated by exactly weighing 10 g of tea leaves and transferring into a 250 mL conical flask already containing 100 mL of DI-H 2 O. The mixtures were then heated at 80 • C for 10 min, cooled and filtered. Copper nanoparticles from black tea were synthesized using a CuSO 4 solution with the corresponding tea leaves extract. Briefly, CuSO 4 (1 mmol/L) and tea leaf extracts were used in a 4:1 ratio by volume, and the solution was subjected to continuous stirring at 80 • C for 10 min. The resultant suspensions were settled at room temperature for 24 h to complete the reaction, then filtered and washed three times with DI-H 2 O to remove any unbound molecules. Lastly, Cu-NPs were dried at 65 • C for 3 h.

Synthesis of Fe − Nanoparticles
Black tea leaves were used to prepare Fe − nanoparticles. Black tea leaves was washed many times with tap water and then with double distilled water to eliminate impurities. The washed tea was dried at 105 • C for 24 h in a hot air oven and then powder form obtained after grinding of dried tea. Extraction procedure was carried out according to Anamika et al. [14]. An extraction of tea sample was prepared with a 1:10 ratio of tea powder to water, and the extraction was carried out at 80 • C for 30 min. Then the extract was filtered after cooling at room temperature and then 0.1 M of FeSO 4 solution was added to the tea extract at a ratio of 1:3 (1-part FeSO 4 and 3-part extract) [26,27]. Then sodium hydroxide solution was added, dropwise. During this process, the ferrous ions were converted into nanometallic particles rapidly. Separation of prepared black nanoparticles was performed by filtration and then washed with double distilled water. Separated nanoparticles were subsequently dried in a vacuum at 50 • C for 24 h.

Preparation of ZV Fe-Cu/Alg-LS Nanocomposites
In order to formulate ZV Fe-Cu/Alg-LS nanocomposites, 2% (w/v) adsorbents of sodium alginate and 7 g of limestone were mixed in 100 mL of distilled water. The combination was stirred with a mechanical stirrer and heated on a hot plate to 80 • C. When the mixture of limestone and alginate attained a homogeneous condition, a solution of mixed zero valance Fe-Cu (0.5 Fe-0.5 Cu in 100 mL) was added. Then 0.3 M of calcium chloride was dripped through a syringe injector into to form beads. In order to obtain hardened beads, the beads were submerged in a calcium chloride (CaCl 2 ) solution for 12 h. Washing the adsorbents with distilled water several times removed the excess unbounded calcium chloride from the adsorbent surface. The investigation of the adsorbent was carried out using a Genesis-II FTIR spectrometer (ALT, San Diego, CA, USA) (using potassium bromide). Additionally, (SEM) was performed using an Inspect S (FEI Company, Eindhoven, the Netherlands) equipped with an energy-dispersive X-ray analyzer (EDX, Quanta 200, FEL, Eindhoven, the Netherlands).The mineralogical structure of the powdered materials was determined using X-ray diffraction (XRD) and logged on a Philips PW 1050/70 diffractometer (Philips, Am-sterdam, the Netherlands) using a Cu-Kα source with a post-sample Kα filterant, a scanning speed of 1 s/step, a range of 5 to 50 (2θ • ) and a resolution of 0.05 • /step. The surface area was determined using BEL SORB max (Made in Japan). TEM analysis was performed using the JEM-HR-2001 model (JEOL, Akishima, Japan) with an accelerating voltage of 200 kV to assess the particle sizes of the material. CIP and LEV were detected in aqueous solutions using an Agilent HPLC 1200 Infinity apparatus equipped with a photodiode array detector (Agilent Technologies, Waldbronn, Germany). At 280 nm, the chromatograms were captured. At a temperature of 25 C, an Agilent Zorbax Eclipse Plus C18 column (3.5 mm, 150 mm, 4.6 mm) (Agilent, Newport, CA, USA) was used. A total of 40% water (mobile phase A) and 60% acetonitrile made up (mobile phase C). The flow rate was set at 1.0 mL/min. BEL and SORB max (Made in Japan) assisted in measuring the surface's area, and an OHAUS STARTER 2100 pH meter (Pine Brook, NJ, USA) was used for pH adjustment [28].

Adsorption Process
The adsorption was carried out by mixing an identified quantity of the sorbent with an aqueous solution of CIP and LEV at the necessary concentration in a 100 mL capped flask using a mechanical stirrer. First, a certain quantity of the sorbent and 25 mL of the sorbate solution were mixed and agitated for long enough to allow for sorption equilibrium. After filtering the mixtures using filter paper, HPLC was used to calculate the concentration of the antibiotic and medication in the solution. By adjusting the contact duration t (10-90 min), pharmaceutical solution starting concentration (10-100 ppm), and drug solution beginning pH (2-10) using 0.1 M NaOH and HCl, researchers were able to study the effects of a variety of parameters on sorption. The proportion of antibiotics sorption was assessed by the incoming Equations (1) and (2) [29].
where V (L) and W (g) stand for the volume of the solution and the weight of the adsorbent, respectively, C 0 and C e also stand for the initial and equilibrium concentrations (mg/L) of CIP and LEV ions, respectively. (hydroxyl) groups appeared at about 3440 cm −1 . The peaks observed at 1334 and 1081 cm −1 suggest the existence of OH bending and C-O stretching vibrations [30]. At 1774 cm −1 , two additional peaks can be seen that are associated to the stretching vibration of C=O seen in carboxylic and/or carbonyl moiety groups [31]. Additionally, a peak at 700 cm −1 that was correspond to C-H out-of-plane bending in benzene derivatives [32] was observed. As demonstrated in Figure 1B, in Fe-Cu/Alg-LS loaded CIP, After the adsorption, numerous functional groups adjusted to different bands, it was noticed that the bands at 3430, 1776, 881, 700 and 416 cm −1 shifted to 3428,1774, 879, 696 and 420 cm −1 , respectively. Moreover, after adsorption of levofloxacin (LEV) the bands at 3430, 1776, 1384, 881, 700 and 416 cm −1 shifted to at 3482, 1774, 1382, 856 and 422 cm −1 , respectively. Shifting the bands can explain the presence of H-bonded OH in the adsorption of CIP and LEV on Fe-Cu/Alg-LS nanocomposites.

Zero Valant Fe-Cu /Alg-LS Nanocomposites Characteristics
3.1.1. FTIR Study Figure 1 shows the Fe-Cu/Alg-LS nanocomposites' Fourier-transform infrared spectra before and after CIP and LEV adsorption. A specific band that was associated with O-H (hydroxyl) groups appeared at about 3440 cm −1 . The peaks observed at 1334 and 1081 cm −1 suggest the existence of OH bending and C-O stretching vibrations [30]. At 1774 cm −1 , two additional peaks can be seen that are associated to the stretching vibration of C=O seen in carboxylic and/or carbonyl moiety groups [31]. Additionally, a peak at 700 cm −1 that was correspond to C-H out-of-plane bending in benzene derivatives [32] was observed. As demonstrated in Figure 1B

XRD Study
Spectra were analyzed for the phase purity of the Fe-Cu/Alg-LS nanocomposite as shown in Figure 2. The characteristic diffraction peaks located at 43.7° (111) indicated formation of Cu nanocrystals [33]. The diffraction peak observed at 2θ = 44.77° are indexed to (101) denoted the crystalline phase for Fe nanoparticles [34]. The peaks at 29.4 and 47.1° indicated the presence of calcite [35]. The results reveal the formation of copper, ferric and calcite that guarantees the good synthesis of the Fe-Cu/Alg-LS nanocomposites.

XRD Study
Spectra were analyzed for the phase purity of the Fe-Cu/Alg-LS nanocomposite as shown in Figure 2. The characteristic diffraction peaks located at 43.7 • (111) indicated formation of Cu nanocrystals [33]. The diffraction peak observed at 2θ = 44.77 • are indexed to (101) denoted the crystalline phase for Fe nanoparticles [34]. The peaks at 29.4 and 47.1 • indicated the presence of calcite [35]. The results reveal the formation of copper, ferric and calcite that guarantees the good synthesis of the Fe-Cu/Alg-LS nanocomposites. Figure 3 shows the SEM analysis of the generated. Fe-Cu/Alg-LS nanocomposites both before and after the adsorption of ciprofloxacin (CIP) and levofloxacin (LEV). Figure 3 provides SEM images (A-D). The micrographs display rough surfaces, many holes, and nanoparticles dispersed throughout the sample. The surface exhibits an uneven surface overall for the adsorption of the designated antibiotics. Figure 3A's surface morphologies showed more pores than Figure 3B,C, indicating that the nanocomposite has enough space for the adsorption process to take place. According to Figure 3B,C, the nanocomposite had less pores due to the CIP and LEV that cover the composite.  Figure 3 shows the SEM analysis of the generated. Fe-Cu/Alg-LS nanocomposite both before and after the adsorption of ciprofloxacin (CIP) and levofloxacin (LEV). Figur 3 provides SEM images (A-D). The micrographs display rough surfaces, many holes, and nanoparticles dispersed throughout the sample. The surface exhibits an uneven surfac overall for the adsorption of the designated antibiotics. Figure 3A's surface morphologie showed more pores than Figure 3B,C, indicating that the nanocomposite has enough space for the adsorption process to take place. According to Figure 3B,C, the nanocompo site had less pores due to the CIP and LEV that cover the composite.   Figure 3 shows the SEM analysis of the generated. Fe-Cu/Alg-LS nanocomposi both before and after the adsorption of ciprofloxacin (CIP) and levofloxacin (LEV). Figu 3 provides SEM images (A-D). The micrographs display rough surfaces, many holes, a nanoparticles dispersed throughout the sample. The surface exhibits an uneven surfa overall for the adsorption of the designated antibiotics. Figure 3A's surface morpholog showed more pores than Figure 3B,C, indicating that the nanocomposite has enou space for the adsorption process to take place. According to Figure 3B,C, the nanocomp site had less pores due to the CIP and LEV that cover the composite. The EDX analysis of Fe-Cu/Alg-LS nanocomposites are shown in Figure 4. The EDX analysis of the Fe-Cu/Alg-LS nanocomposites before adsorption reveals the peaks corresponding to oxygen, carbon, cupper, ferric and calcium elements. Thus, EDX guarantees the good synthesis of the Fe-Cu/Alg-LS nanocomposites.

SEM and EDX Study
OR PEER REVIEW 7 of 18 The EDX analysis of Fe-Cu/Alg-LS nanocomposites are shown in Figure 4. The EDX analysis of the Fe-Cu/Alg-LS nanocomposites before adsorption reveals the peaks corresponding to oxygen, carbon, cupper, ferric and calcium elements. Thus, EDX guarantees the good synthesis of the Fe-Cu/Alg-LS nanocomposites.

Transmission Electron Microscopy Study
The TEM and particular area electron diffraction images of the Fe-Cu/Alg-LS nanocomposite is provided in Figure 5. From TEM micrographs, it is clear that the constructed Fe-Cu/Alg-LS nanocomposite exhibited a multilayer structure. This rough surface indicates that nucleation occurred. As seen in Figure 5A, the sample's microstructure and porosity are well suited for enhanced absorption. The wide range in particle size was shown in a histogram of the particle size distribution generated from the TEM images.

Transmission Electron Microscopy Study
The TEM and particular area electron diffraction images of the Fe-Cu/Alg-LS nanocomposite is provided in Figure 5. From TEM micrographs, it is clear that the constructed Fe-Cu/Alg-LS nanocomposite exhibited a multilayer structure. This rough surface indicates that nucleation occurred. As seen in Figure 5A, the sample's microstructure and porosity are well suited for enhanced absorption. The wide range in particle size was shown in a histogram of the particle size distribution generated from the TEM images. The particles have an average diameter of 45.54 nm and range in size from 40 to 50 nm.  The EDX analysis of Fe-Cu/Alg-LS nanocomposites are shown in Figure 4. The EDX analysis of the Fe-Cu/Alg-LS nanocomposites before adsorption reveals the peaks corresponding to oxygen, carbon, cupper, ferric and calcium elements. Thus, EDX guarantees the good synthesis of the Fe-Cu/Alg-LS nanocomposites.

Transmission Electron Microscopy Study
The TEM and particular area electron diffraction images of the Fe-Cu/Alg-LS nanocomposite is provided in Figure 5. From TEM micrographs, it is clear that the constructed Fe-Cu/Alg-LS nanocomposite exhibited a multilayer structure. This rough surface indicates that nucleation occurred. As seen in Figure 5A, the sample's microstructure and porosity are well suited for enhanced absorption. The wide range in particle size was shown in a histogram of the particle size distribution generated from the TEM images.

BET Adsorption-Desorption Measurements
The surface area and porous structure were examined with N2 adsorption-desorption tests. The N2 adsorption-desorption isotherms curve of the as-prepared aerogels obtained at 77 K are shown in Figure 5C. Figure 5C reveals a type-IV isotherm for the asprepared samples calcined at different temperatures, indicating the existence of a mesoporous structure. The surface area data showed that the pore volume and surface area of the Fe-Cu/Alg-LS nanocomposite were 0.04432 cm 3 g −1 and 21.05 m 2 g −1 , respectively, as listed in Table 2. Table 2. The pore size distribution adsorption results (surface area, pore volume and average pore radius).

Effect of pH
An extremely significant factor that affects the removal efficiency of an adsorbent in wastewater treatment is the pH of the solution since the adsorption efficiency is influenced by the pH of the medium. CIP and LEV adsorption was adjusted to make the solution acidic, neutral, and alkaline (2-10). According to Figure 6A, the maximum CIP and LEV removal was obtained at pH 6 and 7, respectively. It is well recognized that the solubility of CIP and LEV is a function of pH, which is explained by the presence of different CIP and LEV chemical species at the different pH values. At low pH values, a highly soluble CIP + and LEV + species occurs and its fraction value decreases as pH values move from 2 to 7, where the pKa constant value (carboxylic acid group) is located [36]. Finally, as the pH value continues to increase to higher than 7, CIP + and LEV + becomes more soluble because of the appearance of the CIPand LEV-species [37,38]. This behavior can be described through the relationship between CIP and LEV total charge and the surface charge of the Fe-Cu/Alg-LS nanocomposite. As the pH increases up to 6 and 7, the cationic form (CIP + and LEV + ) is present, the negative Fe-Cu/Alg-LS nanocomposite surface will perform a significant adsorption of the pollutant. Moreover, the high efficiency may be attributed to the increase of adsorbent surface area and greater availability of adsorption active sites. The removal efficiency decreases significantly after the initial pH value

BET Adsorption-Desorption Measurements
The surface area and porous structure were examined with N 2 adsorption-desorption tests. The N 2 adsorption-desorption isotherms curve of the as-prepared aerogels obtained at 77 K are shown in Figure 5C. Figure 5C reveals a type-IV isotherm for the as-prepared samples calcined at different temperatures, indicating the existence of a mesoporous structure. The surface area data showed that the pore volume and surface area of the Fe-Cu/Alg-LS nanocomposite were 0.04432 cm 3 g −1 and 21.05 m 2 g −1 , respectively, as listed in Table 2. Table 2. The pore size distribution adsorption results (surface area, pore volume and average pore radius).

Effect of pH
An extremely significant factor that affects the removal efficiency of an adsorbent in wastewater treatment is the pH of the solution since the adsorption efficiency is influenced by the pH of the medium. CIP and LEV adsorption was adjusted to make the solution acidic, neutral, and alkaline (2-10). According to Figure 6A, the maximum CIP and LEV removal was obtained at pH 6 and 7, respectively. It is well recognized that the solubility of CIP and LEV is a function of pH, which is explained by the presence of different CIP and LEV chemical species at the different pH values. At low pH values, a highly soluble CIP + and LEV + species occurs and its fraction value decreases as pH values move from 2 to 7, where the pKa constant value (carboxylic acid group) is located [36]. Finally, as the pH value continues to increase to higher than 7, CIP + and LEV + becomes more soluble because of the appearance of the CIP − and LEV-species [37,38]. This behavior can be described through the relationship between CIP and LEV total charge and the surface charge of the Fe-Cu/Alg-LS nanocomposite. As the pH increases up to 6 and 7, the cationic form (CIP + and LEV + ) is present, the negative Fe-Cu/Alg-LS nanocomposite surface will perform a significant adsorption of the pollutant. Moreover, the high efficiency may be attributed to the increase of adsorbent surface area and greater availability of adsorption active sites. The removal efficiency decreases significantly after the initial pH value reaches 7. This performance can be associated with the presence of the anionic CIP and LEV form (CIP − and LEV − ), which can produce repulsive interactions with the Fe-Cu/Alg-LS nanocomposite negative surface [39].
Polymers 2023, 14, x FOR PEER REVIEW 9 of 18 reaches 7. This performance can be associated with the presence of the anionic CIP and LEV form (CIPand LEV -), which can produce repulsive interactions with the Fe-Cu/Alg-LS nanocomposite negative surface [39].

Contact Time Effect
Contact time is one of the important influences in the adsorption of the CIP and LEV onto the Fe-Cu/Alg-LS. The effect of contact time on CIP and LEV adsorption on the Fe-Cu/Alg-LS nanocomposite at concentrations of 20 ppm (CIP),10 ppm (LEV) using 0.2 g/25 mL of the nanocomposite and pH 6 (CIP) and 7 (LEV) is presented in Figure 6B. The results illustrate that in CIP and LEV removal efficiency increased to 97.3% and 100% with time. Furthermore, Figure 6B exhibited that the adsorption rate was quick in the first period of time and moderate after 40 min. This may be qualified to the accessibility of abundant free active sites on Fe-Cu /Alg-LS at the initial adsorption stage for CIP and LEV sorption. The rate became very slow after 40 min, and no appreciable CIP and LEV removal was achieved. Hence, equilibrium was reached at about 40 min for CIP and 45 min for LEV. The number of existing active sites reduced with time, and eventually, the adsorbent be-

Contact Time Effect
Contact time is one of the important influences in the adsorption of the CIP and LEV onto the Fe-Cu/Alg-LS. The effect of contact time on CIP and LEV adsorption on the Fe-Cu/Alg-LS nanocomposite at concentrations of 20 ppm (CIP),10 ppm (LEV) using 0.2 g/25 mL of the nanocomposite and pH 6 (CIP) and 7 (LEV) is presented in Figure 6B. The results illustrate that in CIP and LEV removal efficiency increased to 97.3% and 100% with time. Furthermore, Figure 6B exhibited that the adsorption rate was quick in the first period of time and moderate after 40 min. This may be qualified to the accessibility of abundant free active sites on Fe-Cu/Alg-LS at the initial adsorption stage for CIP and LEV sorption. The rate became very slow after 40 min, and no appreciable CIP and LEV removal was achieved. Hence, equilibrium was reached at about 40 min for CIP and 45 min for LEV. The number of existing active sites reduced with time, and eventually, the adsorbent becomes saturated [40,41]. Consequently, beyond the equilibrium time, no significant uptake of CIP and LEV took place as depicted in Figure 6B. This result could be ascribed to an increase in electrostatic interactions between the surfaces of adsorbents and adsorbates.

Effect of the CIP and LEV Concentrations
Using 0.2 g/25 mL of the nanocomposite, the impact of CIP and LEV concentrations on the adsorption process was investigated at concentrations ranging from 10 to 100 ppm.
In addition, the applied pH was (6 for CIP and 7 For LEV), and a contact time of (45 min for CIP and 40 min for LEV), as shown in Figure 6C. As expected, the increase in the concentration of CIP and LEV has a negative effect on the removal efficiency. Moreover, at high concentrations of antibiotics, the adsorbent surface was saturated with pollutants which decreased the adsorption uptake. Consequently, the removal efficiency was found to be decreased from 97% to 69% for CIP and from 100% to 80% for LEV.

Kinetic Models
The pseudo-first-order, pseudo-second-order, and intraparticle diffusion models were engaged to evaluate the adsorption kinetics of the Fe-Cu/Alg-LS nanocomposite. [37]. The optimum situations were conventional as pH 6 for (CIP) 7 for (LEV), Fe-Cu/Alg-LS G nanocomposite mass of 0.2 g/25 mL, a contact time of (40 min (CIP), 45 min (LEV)), and 20 ppm (CIP), 10 ppm (LEV) as the initial concentrations. Figure 7A [42] provides a description of the PFOR reaction kinetics equation. The following equation is used to represent the current starting phase:

Pseudo-First-Order Reaction Kinetics
Log (q e − q t ) − log q e = − K ads t/2.303 (3) where q t (mg/g) represents the adsorption capacity at time t. K ads (min −1 ) stands for the rate constant of PFOR adsorption.
an increase in electrostatic interactions between the surfaces of adsorbents and adsorbates.

Effect of the CIP and LEV Concentrations
Using 0.2 g/25 mL of the nanocomposite, the impact of CIP and LEV concentrations on the adsorption process was investigated at concentrations ranging from 10 to 100 ppm. In addition, the applied pH was (6 for CIP and 7 For LEV), and a contact time of (45 min for CIP and 40 min for LEV), as shown in Figure 6C. As expected, the increase in the concentration of CIP and LEV has a negative effect on the removal efficiency. Moreover, at high concentrations of antibiotics, the adsorbent surface was saturated with pollutants which decreased the adsorption uptake. Consequently, the removal efficiency was found to be decreased from 97% to 69% for CIP and from 100% to 80% for LEV.

Kinetic Models
The pseudo-first-order, pseudo-second-order, and intraparticle diffusion models were engaged to evaluate the adsorption kinetics of the Fe-Cu/Alg-LS nanocomposite. [37]. The optimum situations were conventional as pH 6 for (CIP) 7 for (LEV), Fe-Cu/Alg-LS G nanocomposite mass of 0.2 g/25 mL, a contact time of (40 min (CIP), 45 min (LEV)), and 20 ppm (CIP), 10 ppm (LEV) as the initial concentrations. Figure 7A [42] provides a description of the PFOR reaction kinetics equation. The following equation is used to represent the current starting phase:

Pseudo-First-Order Reaction Kinetics
where qt (mg/g) represents the adsorption capacity at time t. Kads (min −1 ) stands for the rate constant of PFOR adsorption.
In this study, a linear relationship was recognized for the adsorption of CIP and LEV ions onto the Fe-Cu/Alg-LS nanocomposite. The values of qe and kads were measured from the slope and intercept by plotting log (qe-qt) versus t. The PFOR kinetics are illustrated in Figure 7A. The outcomes exhibited correlation coefficients (R 2 = 0.8073, 0.9613) for CIP and LEV. The collected data show that the pseudo-first-order model has a poor fit for the adsorption of CIP and LEV onto the Fe-Cu/Alg-LS nanocomposite.

Pseudo-Second-Order Reaction
The PSOR kinetic model [43] is illustrated in the following equation: In this study, a linear relationship was recognized for the adsorption of CIP and LEV ions onto the Fe-Cu/Alg-LS nanocomposite. The values of q e and k ads were measured from the slope and intercept by plotting log (q e −q t ) versus t. The PFOR kinetics are illustrated in Figure 7A. The outcomes exhibited correlation coefficients (R 2 = 0.8073, 0.9613) for CIP and LEV. The collected data show that the pseudo-first-order model has a poor fit for the adsorption of CIP and LEV onto the Fe-Cu/Alg-LS nanocomposite.

Pseudo-Second-Order Reaction
The PSOR kinetic model [43] is illustrated in the following equation: The PSOR rate constant, denoted by K 2 (g/mg/min), is shown in Figure 7B. When t/qt is plotted versus t, the slopes and intercepts determine the values of the rate constant K 2 , equilibrium adsorption capacity q e , and correlation coefficient (R 2 ).
PSOR correlation coefficients (R 2 ) for the Fe-Cu/Alg-LS nanocomposite in Table 3 maintained high values. The outcomes exhibited high correlation coefficients (R 2 = 1) for both CIP and LEV. The statistics imply that the CIP and LEV adsorption suitable for the pseudo-second-order kinetics.

Morris-Weber Kinetic Equation
The Morris-Weber Equation (5) [44] can be used to represent the intraparticle mass transfer diffusion, as shown in Figure 7C.
where the uptake of metal ions is denoted by the symbol q (g/g), the intraparticle mass transfer diffusion rate constant is denoted by K d , and the square root of time is denoted by the symbol t 1/2 . Only in the shorter stage, if the intraparticle diffusion and adsorption data overlapped, would it occur. The first part is linear, which is related to the boundary layer effect, as shown by the Morris-Weber equation in Figure 7C. However, the intraparticle diffusion effect may be related to the second component [45]. The fact that practically all sorption occurs within the first 40 min for CIP and 45 min for LEV, with a clear linear trend, indicates that the porosity of nanocomposites exceeds the resistance influencing intraparticle diffusion [46]. For CIP and LEV adsorption, the intraparticle diffusion rate constant value K d was estimated to be 0.0831 and 0.0727 (g/g min −1 ), respectively, onto the Fe-Cu/Alg-LG nanocomposite, suggesting CIP and LEV ions move to the composite. The values of K d for both antibiotics represent the rate of diffusion of pollutants towards the pore of nanocomposite, accordingly the rate of diffusion of CIP is higher than LEV onto nanocomposite. The kinetic modeling with the PFOR, PSOR and Morris-Weber equations are detailed in Table 3.

Isotherm Model
To adequately understand the adsorption process, isotherm studies are required [47]. The Langmuir, Freundlich, and Dubinin-Radushkevich isotherm models were used to study the adsorption process. The Fe-Cu/Alg-LS nanocomposite was 0.2 g/25 mL in mass, with contact times of 40 min for CIP (20 ppm) and 45 min for LEV (10 ppm) according to the optimized experimental conditions.
The Langmuir isotherm was used to explain the adsorption of any substance on a homogeneous surface with minimal interaction between the molecules that had been adsorbed [48]. The model assumes a homogeneous uptake in accordance with the saturation level of the monolayer on the surface with the highest adsorption. The following gives an illustration of the Langmuir linear equation model [49]: Ce/q e = 1/K L q max + (1/q max )·C e (6) where K L (L·mg −1 ) denotes the monolayer's maximum adsorption capacity and q max (mg.g −1 ) denotes its maximum capacity for sorption heat. Figure 8A,B illustrate the Langmuir adsorption isotherm that was constructed on the basis of monolayer adsorption through the adsorption process. The equilibrium absorption of the homogeneous surface of the adsorbents is explained by the Langmuir model. encing intraparticle diffusion [46]. For CIP and LEV adsorption, the intraparticle diffusion rate constant value Kd was estimated to be 0.0831 and 0.0727 (g/g min −1 ), respectively, onto the Fe-Cu/Alg-LG nanocomposite, suggesting CIP and LEV ions move to the composite. The values of kd for both antibiotics represent the rate of diffusion of pollutants towards the pore of nanocomposite, accordingly the rate of diffusion of CIP is higher than LEV onto nanocomposite. The kinetic modeling with the PFOR, PSOR and Morris-Weber equations are detailed in Table 3 .

Isotherm Model
To adequately understand the adsorption process, isotherm studies are required [47]. The Langmuir, Freundlich, and Dubinin-Radushkevich isotherm models were used to study the adsorption process. The Fe-Cu/Alg-LS nanocomposite was 0.2 g/25 mL in mass, with contact times of 40 min for CIP (20 ppm) and 45 min for LEV (10 ppm) according to the optimized experimental conditions.
The Langmuir isotherm was used to explain the adsorption of any substance on a homogeneous surface with minimal interaction between the molecules that had been adsorbed [48]. The model assumes a homogeneous uptake in accordance with the saturation level of the monolayer on the surface with the highest adsorption. The following gives an illustration of the Langmuir linear equation model [49]: where KL (L·mg −1 ) denotes the monolayer's maximum adsorption capacity and qmax (mg. g −1 ) denotes its maximum capacity for sorption heat. Figure 8A,B illustrate the Langmuir adsorption isotherm that was constructed on the basis of monolayer adsorption through the adsorption process. The equilibrium absorption of the homogeneous surface of the adsorbents is explained by the Langmuir model. The Freundlich model, particularly for heterogeneous surfaces [50,51], is one of the first empirical equations compatible with the exponential distribution of active centers as follows: The Freundlich model, particularly for heterogeneous surfaces [50,51], is one of the first empirical equations compatible with the exponential distribution of active centers as follows: ln q e = ln K f + 1/n ln C e If K f denotes adsorption capacity, n denotes intensity, and K f is a crucial and relative indicator of adsorption capacity; it denotes a beneficial adsorption extent. Adsorption is considered suitable when n is greater than 1 [52]. The results demonstrate that the Langmuir model performed better than the Freundlich model in describing the experimental data of the Fe-Cu/Alg-LS nanocomposites. The values for the correlation coefficient (R 2 ) are described in Table 3. For both CIP and LEV adsorption, the R 2 values from the Langmuir model data were 0.9731 and 0.9990, above those of the Freundlich isotherm. The displacement of CIP and LEV ions appears to be a monolayer covered on the surface of the Fe-Cu/Alg-LS nanocomposite, according to the adsorption results. As a result, the outcomes closely matched the Langmuir model.

Dubinin-Radushkevich Isotherm
This model fits exceedingly well with the Gaussian energy distribution and adsorption techniques that were used on a heterogeneous surface. The D-R equation is as follows [53]: When the ideal gas constant, R, is taken into account, the theoretical adsorption capacity, q(D-R) (mg·g −1 ), the activity coefficient, ß (mol 2 kJ −2 ), the Polanyi potential(ε), T (absolute temperature in K), and E (kJ mol −1 ), represented as the free energy change, are as follows: The E value can be used to identify the type of reaction. Physical forces are predicted to have an impact on the adsorption process if E < 8 kJ mol −1 . If E is between 8 and 16 kJ mol −1 , chemical ion exchange takes place during the sorption process. Particle diffusion may also be used to determine the sorption process if E is more than 16 kJ mol −1 [54]. Table 4 provides a list of the D-R model simulation data. E values for the absorption of CIP and LEV ions onto the Fe-Cu/Alg-LS nanocomposite were 0.7624 and 0.7446 kJ mol −1 . As a result, if E is less than 8 kJ mol −1 , physical adsorption will affect the sorption [55].

Sorption Thermodynamics
To estimate the thermodynamic action of the CIP and LEV adsorbed onto the Fe-Cu/Alg-LS nanocomposite, the thermodynamic factors were assessed in order to determine the thermodynamic viability and spontaneous nature of the process of adsorption. At varied temperatures (30,40, and 60 • C), the findings were recorded. The formulae listed below were used to calculate the thermodynamic factors [56,57]: ln K d = −∆H • /RT + ∆S • /R (13) where T is the absolute temperature (K), K d is the distribution coefficient, and R is the gas constant (8.314 J mol −1 K −1 ). Using Equation (11), the Gibbs free energy was calculated. Furthermore, using Equation (12), G • might be calculated from H. Using Equation (13), the thermodynamic variables S • and H • were calculated (from the intercept and slope). The data showed that the amount of CIP and LEV ions taken up by nanocomposites slightly decreased in direct proportion to the temperature increase. In contrast to the adsorbent particles, the rise in degree of temperature increased the pollutants' solubility in a bulk solution to a larger extent [58]. Table 5 illustrates the Fe-Cu/Alg-LS nanocomposite components' thermodynamic sorption response to CIP and LEV ions. Negative G • show that the adsorption process is feasible and spontaneous. Additionally, negative findings of H • also suggest that LEV was adsorbed onto the Fe-Cu/Alg-LS nanocomposite in an exothermic manner. Positive readings of H • show that CIP was adsorbed endothermically. Given how CIP and LEV adsorbed onto the surfaces of the adsorbents, negative S • for the Fe-Cu/Alg-LS adsorbent demonstrated that randomness declined at the solid-liquid interfaces, demonstrating that the adsorption was energetically stable [59]. For G • values under 80 kJ mol −1 , the sorption was of a physical origin. However, if G • was between 80 and 400 kJ mol −1 , it might have been chemical [60]. Table 4 shows the "G" values, which show that CIP and LEV sorption were of a physical origin. These results support the D-R isotherm.

A Comparison Study
A comparison study between the sorption capacities for CIP and LEV with other sorbents in literature are listed in Table 6.