Abstract
We designed and synthesised a magnetic adsorbent (Fe3O4@Si–OH@CS-Glu) combining chitosan-silanol groups with glutaraldehyde as a cross-linking agent, which has improved physicochemical properties and can be used to remove multiple heavy metals and bacteria from polluted water. The adsorbent was characterised with SEM, XRD, FTIR, BET, VSM, and zeta potential. Under optimum conditions, the adsorption efficiencies of Fe3O4@Si–OH@CS-Glu for Cr6+, As5+, Hg2+, and Se6+ were as high as 90.5%, 73.5%, 91.6%, and 100% respectively. In addition, Escherichia coli (gram-negative) and Staphylococcus aureus (gram-positive) can be removed after 2–4 adsorption cycles with 2.5 mg Fe3O4@Si–OH@CS-Glu. The main adsorption mechanism of the adsorbent for heavy metals and bacteria is electrostatic adsorption. Overall, the synthesised Fe3O4@Si–OH@CS-Glu adsorbent showed high removal efficiency and adsorption capacity with a stable structure and easy separation. It has promising applications for the removal of heavy metals and bacteria from water.
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Introduction
Water pollution, caused by illegal discharge of wastewater, accidental leakage of raw materials, and poor water management or monitoring, has severely affected water quality and safety (Gothandam et al. 2020). The pollutants can include organic pollutants, heavy metals, pharmaceuticals, and drug-resistant bacteria (Chen and Huang 2020). Among those contaminants, heavy metals are toxic, accumulative, non-degradable, and carcinogenic (Leus et al. 2018). In addition, antibiotics and other chemicals induce drug-resistant bacteria. Therefore, heavy metals and bacteria pose an enormous threat to human health (Hashim et al. 2011; Na et al. 2021). At present, there are various methods for removing heavy metals or bacteria from water. The commonly used methods include adsorption, membrane filtration, wet heat sterilisation, chemical precipitation, and electrochemical treatment (Ince et al. 2020; Bairagi and Ali 2020). The adsorption method has been widely used for the removal of pollutants from water because of its advantages such as low cost, high adsorption efficiency, simple operation, and short adsorption cycle (Liu et al. 2019; Panda et al. 2020).
Chitosan (CS), derived from chitin, is one of the most abundant biopolymers in nature (Gabriel et al. 2020). Chitosan contains many functional groups (amino, acetamido, and hydroxyl groups) that can be used as active sites for pollutant removal. Therefore, chitosan has been widely used in the removal of heavy metals and bacteria (Tanhaei et al. 2015; Altun et al. 2020; Anwar et al. 2020; Sharma et al. 2016; Nayak et al. 2015; Dobrzyńska 2021; Guo et al. 2014; Wu et al. 2017). However, in highly acidic conditions, CS has the disadvantages of a high expansion index, poor mechanical properties, and small specific surface area, which greatly limits its application (Habiba et al. 2017; Jawad et al. 2020a). It is therefore necessary to modify chitosan so that its physicochemical properties are improved.
Currently, various methods exist to enhance the physical and chemical properties of chitosan, such as cross-linking reactions (Jiang et al. 2019; Nnam et al. 2021; Reghioua et al. 2021a), complexation with metal oxide nanoparticles (Dehaghi et al. 2014), and the functionalisation of organic groups (Li et al. 2019). The cross-linking method involves combining the target with the functional groups on the cross-linking agent and is a common method for modifying chitosan at present (Zhang et al. 2018; Reghioua et al. 2021b; Ahj et al. 2021). Glutaraldehyde (Glu) is a cross-linking agent with dialdehyde functional groups, which can react with -NH2 and -OH on the main chain of chitosan to form an ionic cross-linking network, improving the stability and mechanical strength of chitosan (Ahj et al. 2020; Abdulhameed et al. 2019; Reghioua et al. 2021c). However, this cross-linking reaction would block the active sites of CS, leading to a decrease in its adsorption capacity (Mohammad et al. 2019; Malek et al. 2020). Adding nanomaterials with multifunctional clusters into CS molecules can effectively improve the adsorption capacity (Nishad et al. 2017; Jawad et al. 2021).
The surface of SiO2 contains a large number of -OH functional groups. Cross-linking CS with SiO2 can effectively improve its adsorption performance and antibacterial properties (Mortazavi et al. 2010; Nawaz et al. 2020; Reis et al. 2002; Allen et al. 2007). Recently, magnetic materials have attracted much attention as adsorbents, as they are easily separated through magnetic solid-phase extraction (MSPE). Fe3O4 nanoparticles have attracted extensive attention due to their advantages of stable structure, convenient production, low cost, and easy separation and regeneration (Panda et al. 2020; Wang et al. 2020). However, Fe3O4 also has the disadvantage of easy oxidation and agglomeration, which prevent the desired effect from being achieved in many applications. Recently, several researchers have attempted to improve the stability and antioxidant properties of Fe3O4 by coating it with SiO2 and grafting some functional groups. The physical and chemical properties of the modified particles are improved (Koo et al. 2019).
In this work, a glutaraldehyde base-cross-linked chitosan-silanol/Fe3O4 composite was synthesised. Combining with MSPE technology, Fe3O4@Si–OH@CS-Glu was used as an adsorbent for simultaneous removal of heavy metals and bacteria from water. This adsorbent combines the advantages of the materials described above. It is easy to be separated with a high adsorption performance. We also determined the optimal conditions for the removal of heavy metals and bacteria which included pH, removal time, and adsorbent dosage. The adsorption mechanism was also briefly described.
Materials and methods
Materials
Ferrous sulfate (FeSO4·7H2O), ammonium hydroxide (NH3·H2O, 25–28%), glutaraldehyde (C5H8O2, 50% solution), and glacial acetic acid (CH3COOH) were obtained from Tianjin Fengchuan Chemical Reagent Co., Ltd. Anhydrous ethanol (C2H5OH) was obtained from Tianjin Damao Chemical Reagent Factory. Ethyl orthosilicate (C8H20O4Si, 28%) was obtained from Tianjin Jinke Fine Chemical Research Institute. Chitosan (C6H12NO4, low viscosity < 200 mPa s), hydrochloric acid (HCl), and ferric chloride hexahydrate (FeCl3·6H2O) were purchased from Tianjin Fuchen Chemical Reagent Factory. All reagents were of analytical grade and were used directly as received without further treatment. Ultrapure water with a resistivity of 18 MΩ/cm was used for all the experiments.
Synthesis of Fe3O4@Si–OH@CS-Glu
Fe3O4@Si–OH were prepared using a previously reported method (Tang et al. 2019). First, FeCl3·6H2O (5.21 g) and FeSO4·7H2O (4.22 g) were added to 250 mL of deionised water. HCl (850 μL) was then added to the mixture and subjected to ultrasonic deoxidisation for 30 min. Then, 22 mL of NH3·H2O was added to the solution after ultrasound, and the mixture was stirred at 80 °C for 40 min. A black precipitate was obtained after standing for 60 min. The precipitate was separated with an external magnetic field, and magnetic fluid Fe3O4 was obtained (Luo et al. 2010). In the second step, the magnetic fluid was dispersed with 500 mL of C2H5OH and 250 mL of deionised water with ultrasound for 10 min. Then, 38 mL NH3·H2O and 50 mL ethyl orthosilicate were added and the mixture was agitated at 60 °C for 4.5 h. Fe3O4@Si–OH was obtained by magnetic separation. In the third step, the Fe3O4@Si–OH magnetic nanoparticles (0.20 g) were dispersed in a chitosan solution (60 mL, 1%). The optimal amount of glutaraldehyde (Fig. S1) was determined by gradually adding 3-mL portions of glutaraldehyde solution (5%) with stirring. The mixture was stirred at 60 °C for 30 min. The products were separated with an external magnetic field, washed with acetic acid (3%), and dried at 80 °C. Fe3O4@Si–OH@CS-Glu was obtained and stored at 25℃.
Characterisation
The conductive adhesive was coated on the surface of the sample in a vacuum environment, and the adsorbent was observed by scanning electron microscopy (SEM) with SU-1510 (Japan) at a voltage of 5 kV. The X-ray diffraction (XRD) patterns were measured at 100 mA in the 2θ range of 5°–80° with a Smartlab (Neo-Confucianism, Japan) using Cu Kα radiation. A Nicolet Nexus 6700 FTIR (USA) spectrometer was used to determine the Fourier transform infrared (FTIR) spectra of the Fe3O4, Fe3O4@Si–OH, Fe3O4@Si–OH@CS-Glu, and chitosan solution (1%) samples in the region between 400 and 4000 cm−1. At 243.15 K, a Belsorp Max nitrogen gas adsorption analyser (BLE, USA) was used to determine the pore size, specific surface area, and pore volume of the adsorbent surface by nitrogen adsorption–desorption analysis using the Brunauer–Emmett–Teller (BET) method. The surface potentials (zeta) of Fe3O4@Si–OH and Fe3O4@Si–OH@CS-Glu were measured using a nanoparticle potentiometer (Zetasizer Nano ZS90, Malvern, UK). A Versalab vibrating sample magnetometer (VSM, Quantum Design, USA) was used to measure the magnetisation of the adsorbents.
Batch adsorption experiments
We use the single factor method to optimise. First, 1 mL of Cr(VI) (20 μg/mL) solution and 50 mg of adsorbent were mixed in a 5-mL centrifuge tube for batch adsorption experiments. In addition to exploring the factors influencing pH, other adsorption experiments were carried out with a pH of 2.5. To explore the effect of pH on adsorption efficiency, 0.1 M HCl and NaOH (0.1 M) were used to adjust the pH value of Cr(VI) from 1.0 to 7.0. The effect of adsorbent dosage on the adsorption efficiency was investigated by changing the amount of adsorbent from 25 to 150 mg. The effect of adsorption time was studied by changing the adsorption time from 5 to 90 min. To study the adsorption efficiency of the adsorbent with heavy metal ions, the concentrations for each heavy metal were selected according to the national standard method (GB/T 5750.12–2006); 20 μg/L As5+, 1 μg/L Hg2+, 50 μg/L Se6+, 40 μg/L Pb2+, and 7 μg/L Cd2+ were used for adsorption. To study the adsorption capacity of the adsorbent on heavy metal ions, 50 mg of Fe3O4@Si–OH@CS-Glu was added, and the concentrations of Cr(VI), As5+, Hg2+, and Se6+ were changed from 0 to 800 mg/L. Furthermore, 200 μg/L Cr(VI), 20 μg/L As5+, 1 μg/L Hg2+, and 50 μg/L Se6+ were used for the cation adsorption competition experiments. The concentration of Cr(VI) was determined using a UV/visible spectrophotometer (UV-2550, Tianjin, China). The concentrations of As5+, Hg2+, and Se6+ were determined using an atomic fluorescence photometer (AFS-930, Beijing Jitian Instrument Co., Ltd., China). The adsorption capacity of the adsorbents for heavy metal ions qe (mg/g) and the removal percentage η (%) were determined based on the following equations:
where qe (mg/g) is the adsorption capacity of heavy metals, C0 (μg/L) is the initial concentration of heavy metal ions, Ce (μg/L) is the equilibrium concentration of heavy metal ions, V (mL) is the volume of the adsorbate solution, m (mg) is the amount of adsorbent, and η (%) is the percentage of heavy metal ions adsorbed from the solution.
Fe3O4@Si–OH@CS-Glu application for bacteria
Escherichia coli was cultured in accordance with the standard test method (GB/T 5750.12–2006). Nutritional AGAR medium was used instead of beef extract peptone medium to reduce the pH adjustment steps. First, 2.5 mg Fe3O4@Si–OH@CS-Glu was added to a certain volume of bacterial liquid for vibration adsorption. After magnetic separation, 200 μL of the supernatant was collected and coated on a plate. This step was carried out in a biosafety cabinet. The coated plate was then placed in an electric thermostatic incubator and cultured at 37 °C for 24–48 h. The number of colonies that grew on each plate was counted. Finally, 200 μL of bacterial solution (diluted 1000 times) was coated onto the plate to calculate the blank colony. This step was carried out in a biosafety cabinet. The adsorption rate (AR) was calculated using the following equation:
where AR indicates the removal efficiency (%), Na is the number of bacteria after adsorption, and N0 is the number of bacteria in the control group.
Results and discussions
Characterisation of adsorbents
The synthesis of Fe3O4@Si–OH@CS-Glu involves three steps (Fig. S2). SEM and SEM mapping were used to characterise the size, shape, and surface element distribution of Fe3O4, Fe3O4@Si–OH, and Fe3O4@Si–OH@CS-Glu. As shown in Fig. 1 (a), Fe3O4 has an irregular blocky structure. In Fig. 1 (b), Fe3O4@Si–OH exhibits a regular spherical structure with a smooth surface and a particle size of approximately 125 nm, possibly because Si–OH is coated on the surface of Fe3O4. As shown in Fig. 1 (c), the approximately 170 nm particle size of Fe3O4@Si–OH@CS-Glu was greater than that of Fe3O4@Si–OH. Fe3O4@Si–OH@CS-Glu exhibited an agglomeration phenomenon, which may be caused by the uneven dispersion of chitosan. Because the dose of Fe3O4@Si–OH@CS-Glu in the experiments was sufficient, the mild agglomeration does not affect the adsorption performance. The local elemental information of Fe3O4@Si–OH@CS-Glu is shown in Fig. 1 (d). The results show that Fe, O, Si, and N are uniformly distributed on the surface of Fe3O4@Si–OH@CS-Glu, indicating that Si–OH and CS-Glu coated Fe3O4 successfully.
The crystal structure and integrity of the adsorbents were determined using XRD patterns. Figure 1 (e) shows the XRD patterns of Fe3O4, Fe3O4@Si–OH, and Fe3O4@Si–OH@CS-Glu. The diffraction peaks at 30.3°, 35.5°, 43.1°, 53.7°, 57.2°, 62.8°, and 72.9° have intensities of (3451), (6480), (3170), (2780), (3602), (4168), and (2394) respectively. This indicates that Fe3O4 is present as a cubic phase with a face-centred cubic structure (JCPDS card no. 19–0629) and exists as a stable phase throughout the synthesis process. The peak value of 2θ increased between 20 and 70°, which was likely the result of the amorphous Si–OH coating on Fe3O4. The peaks for Fe3O4@Si–OH@CS-Glu broadened at 20° and 30°, which may be attributed to the addition of chitosan. Therefore, Fe3O4 was successfully coated with Si–OH and CS-Glu.
The chemical functional groups on the surface of Fe3O4, Fe3O4@Si–OH, Fe3O4@Si–OH@CS-Glu, and chitosan in the 400–4000 cm−1 region were determined using Fourier transform infrared spectroscopy (FTIR). As shown in Fig. 1 (f), Fe–O stretching vibration peaks can be observed at 583 cm−1 in Fe3O4, Fe3O4@Si–OH, and Fe3O4@Si–OH@CS-Glu (Lei et al. 2020). The peak value of 2880 cm−1 was caused by the vibration of the C-H bond contraction. The vibration absorption peak of the O–H bond in water is 3440 cm−1 (Lu et al. 2013). The peak at 1100 cm−1 was caused by the stretching vibration of the Si–O bond (Zhang et al. 2015). This indicates that Si–OH successfully coated the surface of Fe3O4. At 1620 cm−1, the vibration absorption peak of N–H in chitosan was observed, indicating that Fe3O4@Si–OH was successfully modified with CS-Glu (Gedam and Dongre 2015).
The BET and Barrett–Joyner–Halenda (BJH) methods were used to analyse the specific surface area, pore volume, and pore size of the adsorbents with N2 desorption and adsorption isotherms. As shown in Fig. 1 (g), a typical characteristic of the type III isotherm is that it is accompanied by an H3 type hysteresis loop, indicating that Fe3O4@Si–OH@CS-Glu is a mesoporous material (Kruk and Jaroniec 2001). The pore parameters of the three materials are listed in Table S1. The specific surface area of Fe3O4 is 141.86 m2/g, which is favourable for Si–OH coating. The specific surface area of Fe3O4@Si–OH is 21.82 m2/g, possibly due to the addition of Si–OH to the Fe3O4 surface. The specific surface area of Fe3O4@Si–OH@CS-Glu is 27.34 m2/g, indicating no significant change from that of Fe3O4@Si–OH. The modification of CS-Glu did not increase the specific surface area of the material.
The zeta potential was used to determine the charge type on the surface of the adsorbent. As shown in Fig. S3, the surface of Fe3O4@Si–OH was negatively charged (− 41.3 mV), which may have resulted from the addition of Si–OH to the surface of Fe3O4@Si–OH. However, the surface of Fe3O4@Si–OH@CS-Glu was positively charged (+ 28.89 mV), indicating that -NH2 successfully modified Fe3O4@Si–OH, making it more conducive to electrostatic adsorption.
The magnetic properties of the three materials were studied by examining their magnetic hysteresis loops. As seen in Fig. S4, the remanent magnetism and coercivity of these three materials are close to zero, indicating that they have superparamagnetic properties (Cheng et al. 2018). The saturation magnetisations of Fe3O4, Fe3O4@Si–OH, and Fe3O4@Si–OH@CS-Glu were 84.2 emu/g, 76.4 emu/g, and 57.8 emu/g, respectively. The decrease in saturation magnetisation may be due to the addition of non-magnetic Si–OH and CS-Glu. Although the magnetic field intensity of Fe3O4@Si–OH@CS-Glu was lower, it was high enough to facilitate rapid separateion under an applied magnetic field (Fig. S4 Inset). Therefore, the adsorbent can be rapidly separated from the solution using an external magnetic field (Huang and Chen 2009).
Adsorption of heavy metals
Effect of pH
The pH is a significant factor that can affect adsorption efficiency. Most heavy metal ions exist in water in the form of oxyanions, which will electrostatically adsorb with positively charged adsorbents on the surface. Cr(VI) was selected as the model heavy metal for further condition optimisation of the conditions. As shown in Fig. 2 (a), the removal efficiency increased from 27 to 80% when the pH changed from 1 to 2.5. When the pH was changed from 2.5 to 7, removal efficiency was decreased to 8.5%. This is mainly because the -NH2 on the surface of Fe3O4@SiO2@CS-Flu gets protonated by the amino group under acidic conditions, which makes the adsorbent surface positively charged. Under acidic conditions, Cr(VI) mainly exists in the anion form of H2CrO4 and HCrO4−. The concentration of HCrO4− increased with increasing pH. Less Cr(VI) exists in the form of anions when the pH is lower than 2.5, which resulting in a low adsorption efficiency (Jiang et al. 2019). However, the number of protonated amino groups decreases with increasing pH. The positive charge was weakened at higher pH, which resulting in reduced adsorption capacity (Lei et al. 2020). In addition, it was noted that cross-linking of CS forms a network structure with good water solubility, which not only facilitates the entry of water into the gel network but also facilitates the interaction between Cr(VI) ions and the active groups of CS. It has proudced the good adsorption performance (Jawad et al. 2020a, 2020b, 2020c). Therefore, a pH of 2.5 was selected for further experiments.
Effect of adsorption time
The adsorption time influenced the adsorption equilibrium between the adsorbents and the targets. Figure 2 (b) shows the relationship between the adsorption time and the adsorption efficiency. The adsorption efficiency increased rapidly when the adsorption time was below 15 min. This may be due to the fact that the surface of adsorbents can initially provide a large number of adsorption sites for targets. When the adsorption time was changed from 15 to 90 min, the adsorption efficiency increased slowly. This may have been due to a large number of occupied active sites on the surface of the adsorbent as well as complexation playing a dominant role. The process was slow, and the maximum adsorption capacity was 82.5 mg/g after adsorption for 180 min of adsorption (Zhou et al. 2019). In consideration of this and other factors of time cost and adsorption efficiency, an adsorption time of 15 min was selected.
Effect of absorbent dosage
The weight of the adsorbent make it suitable for adsorption and elution. Figure 2 (c) shows the relationship between the absorbent dosage and the adsorption efficiency. The adsorption efficiency increased from 62.5 to 90.5% when the adsorbent dosage was increased from 25 mg to 100 mg. This is because the adsorption sites increase with increasing adsorbent dosage. Moreover, the adsorption efficiency increased from 90.5 to 94.5% when the adsorbent dosage was increased from 100 to 150 mg. This slight increase in efficiency may be due to the decreased mass ratio of adsorbent to Cr(VI) with the increased dosage of adsorbent, which leads to the under-utilisation of Fe3O4@Si–OH@CS-Glu surface adsorption sites (Zeng et al. 2020). Based on our results, we inferred that a good adsorption efficiency can be achieved with 100 mg of adsorbents.
Adsorption of other heavy metals
Various heavy metal ions present in water pose severe risks to environmental and public health. Therefore, the ability of materials to remove multiple types of heavy metal ions is very important for practical applications. The adsorption efficiencies of Fe3O4@Si–OH@CS-Glu for several typical heavy metals, including As5+, Hg2+, and Se6+, were further studied. As shown in Fig. 3 (a), the proposed material also exhibited excellent adsorption performance under the optimum adsorption conditions for Cr(VI). The adsorption efficiencies for As5+, Hg2+, and Se6+ were 73.5%, 91.6%, and 100.0%, respectively. However, the removal efficiency of this adsorbent for Pb2+ and Cd2+ was not as high as others. Cd2+ and Pb2+ mainly exist in the form of cations in water. The low removal rate of these metals may be due to their surface charges. Under the optimum adsorption conditions for Cr(VI), the adsorption capacities of Fe3O4@Si–OH@CS-Glu for Cr(VI), As5+, Hg2+, and Se6+ were also studied. As shown in Fig. 3 (b), adsorption capacity is not directly proportional to adsorption efficiency. The adsorption of heavy metals by chitosan is consistent with the Langmuir adsorption isotherm and pseudo-second-order kinetic model, indicating that the adsorption is a monolayer and chemical bonding is dominant (Saheed et al. 2020). As shown in Table S2, the adsorption capacity of Fe3O4@Si–OH@CS-Glu for heavy metals was also higher than that of other materials reported in the literature (Popovic et al. 2020). Therefore, Fe3O4@Si–OH@CS-Glu can potentially be applied for the simultaneous removal and enrichment of heavy metal ions.
Effect of competing metal ions
When multiple metal ions coexist in the environment, the adsorption capacity of the adsorbent may be reduced, because they compete with each other for the adsorption site. Therefore, a series of metal cations were selected as research objects to explore the order in which heavy metals are adsorbed by Fe3O4@Si–OH@CS-Glu. The adsorption efficiency of Fe3O4@Si–OH@CS-Glu for various metal cations was also studied. As shown in Fig. 3 (c), when Cr(VI), As5+, Hg2+, and Se6+ coexist, the adsorption efficiency of Cr(VI) ≈ As5+ > Hg2+ > Se6+, which differs from that for single metal ions. According to the literature (Huang et al. 2019), both Cr(VI) and As exist in the form of typical oxygen anions (HCrO4−, H2AsO4−, and HAsO42−) under acidic conditions (Zhang et al. 2016). Oxygen anions exhibit preferential electrostatic adsorption with protonated amino groups on the surface of Fe3O4@Si–OH@CS-Glu. Therefore, the adsorption efficiencies for Cr(VI) and As5+ were higher than those for Hg2+ and Se6+, when they all four metals were coexisting.
Adsorption of bacteria
Effect of pH
Antibiotic resistance, especially that of gram-negative bacteria, is one of the greatest public health threats worldwide. Moreover, as the most significant microbial habitat, aquatic environments are known to be favourable for antibiotic gene transfer. They reportedly play a crucial role in the spread of drug resistance in an environment (Cherak et al. 2021). The adsorption ability of Fe3O4@Si–OH @CS-Glu for E. coli was evaluated, as a typical representative of gram-negative bacteria. First, the pH of the system was optimised. As shown in Fig. 4 (a), Fe3O4@Si–OH@CS-Glu demonstrated sufficient adsorption of E. coli under pH levels of 3.0 to 9.0. The surface of Fe3O4@Si–OH@CS-Glu is positively charged due to the protonation of amino group. The cell membrane surface and cytoplasm of E. coli are negatively charged. There are two mechanisms on the removal of E. coli by the adsorbent. For the first mechanism, the adsorbent was adsorbed on the cell membrane to form a polymer film at pH 3, which inhibiting the entry of nutrients into E. coli through the cell membrane. For the second mechanism, low molecular chitosan entered the cell membrane and was electrostatically adsorbed by the cytoplasm when pH values were higher than 5.0, which leads to the apoptosis of E. coli (Lin et al. 2018). The adsorption efficiency of Fe3O4@Si–OH@CS-Glu for E. coli was increased from 92.92 to 96.15%. When pH value was 4, it was the junction of two mechanisms which leads to lower removal efficiency.
Effect of adsorption time
The adsorption time plays an important role in practical applications. As shown in Fig. 4 (b), when the amount of magnetic material was 1.0 mg and the adsorption time was 5 min, the removal efficiencies had reached 74.95%. When the adsorption time was changed from 10 to 30 min, the adsorption efficiencies changed from 79.95 to 97.41%. During the initial 5 min, the E. coli were fast adsorbed on the surface of Fe3O4@Si–OH@CS-Glu. The adsorption rate was decreased after 5 min, which proved the most surface of Fe3O4@Si–OH@CS-Glu had been covered by lots of E. coli. Combined the removal efficiency and adsorption time, 5 min was selected as a practical adsorption time for further experiments. The dosage of adsorbent was further optimised in the next experiment.
Effect of adsorbent dosage
The adsorption sites of Fe3O4@Si–OH@CS-Glu increased with increasing adsorbent dosage. Various dosages of Fe3O4@Si–OH@CS-Glu were studied, namely 0.001 g, 0.0025 g, 0.005 g, 0.0075 g, and 0.01 g (Fig. 4(c)). The initial concentration of E. coli was 656,500 CFU/mL, and the adsorption time was 5 min. With 0.001 g of Fe3O4@Si–OH@CS-Glu, the adsorption efficiency reached 88.4%. When the dosage of adsorbent was changed from 0.0025 to 0.01 g, the adsorption efficiency was further increased from 96.82 to approximately 100%. During the process, the removal efficiency was increased rapidly with the increase of adsorbent dosage. The results indicated that 0.001 g adsorbent was insufficient. When the dosage of adsorbent was greater than 0.0025 g, the adsorbent was sufficient. The removal efficiency had shown a slow increase when the dosage of adsorbent was increased. Therefore, 0.0025 g adsorbent was selected for further experiment.
Effect of repeated treatments
As reported in the literature, all active sites on the material become occupied when a large number of bacteria are present in the samples, and excessive bacterial fluid cannot be adsorbed (Rihayat et al. 2020). Therefore, an experiment was conducted with multiple doses of 0.0025 g of adsorbent. As shown in Fig. 4 (d), the adsorption efficiency was 94.6% at an adsorption time of 5 min when the concentration of E. coli was 451,500 CFU/mL. The adsorption efficiency was 99.36% after two adsorption cycles, which was higher than the adsorption efficiency of 0.005 g adsorbent for one time adsorption (Fig. 4 (c)). The adsorption efficiency was about 100% after four adsorption cycles. Therefore, the proposed materials can be used to efficiently remove bacteria through repeated adsorption.
Adsorption of gram-positive bacterium
The performance of the proposed materials was also verified for gram-positive bacteria. Staphylococcus aureus is a typical gram-positive bacterium. It can cause various illnesses, from minor skin infections to life-threatening diseases (Tong et al. 2010). Moreover, S. aureus is widespread in the environment, including air and sewage. Therefore, S. aureus was used as a model bacterium to demonstrate this adsorption method. As shown in Fig. 5 (b), under the optimal conditions for E. coli, the proposed material also showed excellent adsorption and removal performance for S. aureus. With a 5-min adsorption time and 25 mg of adsorbent, S. aureus could be removed completely after two adsorption cycles, because the isoelectric point of most gram-positive bacteria was estimated to be 2–3, which was lower than that of gram-positive bacteria. But different from E. coli, the first adsorption mechanism played a dominant role on the removal of S. aureus by Fe3O4@Si–OH@CS-Glu. The proposed adsorption method showed a good adsorption performance and can be used for the complete removal of gram-positive bacteria.
Conclusions
In conclusion, we developed a magnetic adsorbent (Fe3O4@Si–OH@CS-Glu) by combining chitosan-silanol groups with glutaraldehyde as a cross-linking agent. Under the optimum condition, the removal efficiencies of Fe3O4@Si–OH@CS-Glu for Cr6+, As5+, Hg2+, and Se6+ were as high as 90.5%, 73.5%, 91.6%, and 100.0% respectively. In addition, the adsorbent has shown excellent the adsorption capacity for heavy metals compared with reported other materials in the literature. When multiple heavy metal ions coexist, the magnetic adsorbent preferentially adsorbs Cr6+ and As5+. Moreover, in the pH range of 3–9, E. coli (gram-negative) and S. aureus (gram-positive) can be removed after 2–4 adsorption cycles with 2.5 mg Fe3O4@Si–OH@CS-Glu. The adsorbent is easy to be synthesised with high adsorption performance. It is expected to be an effective adsorbent for the removal of heavy metals and bacteria from the contaminated water.
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This study was supported by the National Key R&D Program of China (grant no. 2017YFC1601101). The funders played no role in study design, collection, analysis, or interpretation of data, the writing of the report, or the decision to submit the article for publication.
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Huanying Zhou and Zhangrun Xu conceived the project. Tie Han and Zhixian Gao prepared all the materials for experiments and characterizations. Shuyue Ren and Shuang Li performed data analysis. Xueli Liu, Yonghui Wang, and Qibo Liu summarised all data and drafted the manuscript. All authors discussed the results and commented on the manuscript.
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Liu, Q., Wang, Y., Liu, X. et al. Glutaraldehyde base-cross-linked chitosan-silanol/Fe3O4 composite for removal of heavy metals and bacteria. Environ Sci Pollut Res 29, 69439–69449 (2022). https://doi.org/10.1007/s11356-022-20673-5
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DOI: https://doi.org/10.1007/s11356-022-20673-5