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Specifically designed magnetic biochar from waste wood for arsenic removal


Arsenic is a carcinogenic substance, with many cases of poisoning related to arsenic pollution in groundwater. In Taiwan arsenic in groundwater caused the notorious Blackfoot disease. Methods for arsenic removal from water include precipitation, membrane processes, ion exchange, and adsorption, but these processing technologies suffer from high investment costs and complex operations. The traditional adsorption method cannot be used for arsenic removal due to its high operating costs, difficulties in recovery, and low adsorption capacity. To address these issues, this study designed an adsorption material based on biochar for arsenic removal with higher adsorption properties and easy recovery. Biochar sources are readily available from waste wood as a cheap and environmentally friendly material. The efficiency of As (III) removal is also promoted by FeCl3 and KMnO4. The objectives of this research are to obtain optimum operation conditions by assessing the effects of different iron and manganese contents, different doses, different pH and different initial concentration. The adsorption mechanism between As (III) and biochar was studied by adsorption isotherms and the kinetic model. X-ray diffraction, energy-dispersive X-ray spectroscopy and elemental analyzer analysis results show that modified biochar has major elements of Fe and Mn. There is greater magnetism, 40 emu g− 1, in the modified biochar. The maximum adsorption efficiency of 81% and 0.72 mg g− 1 capacity occurs when the ratio of Mn, Fe and C is 4:1:1. The adsorption capacity is high under higher pH with pristine biochar and 1FeC under lower pH with 1Fe2MnC. The reaction mechanism is divided into four pathways. The first pathway is the attachment of As (III) ions into the pore of biochar via physical adsorption. In the second pathway, biochar can connect with As (III) through hydrogen bonding from the function group -OH in the biochar and the As (III) itself. In the third pathway, they can contact each other by electron force when the biochar surface is filled with a positive charge. In the fourth pathway, the compounds of manganese have strong oxidizability to oxidize As (III) to As(V). The iron ions then act as a bridge connecting the biochar and the As (III), resulting in the formation of new complex compounds.


Arsenic is a concern in groundwater or wastewater treatment because of its health effects. Arsenic is classified as a substance that causes serious eye damage (Level 1), carcinogen (Level 1), a skin irritating substance (Level 2), reproductively toxic substances (Level 2) and a hazardous substance in water environment (Level 2). Arsenic in nature occurs in two forms: inorganic and organic. Arsenic combined with elements such as oxygen, chlorine, and sulfur is referred to as inorganic arsenic, while, arsenic combined with carbon and hydrogen is referred to as organic arsenic [1]. Arsenic is predominantly found as As (III) (H2AsO3, HAsO32− and AsO33−) and As(V) (H2AsO4, HAsO42− and AsO43−) in solutions [2]. In general, inorganic arsenic compounds are more toxic than organic arsenic compounds. In addition, As (III) is more toxic than As(V) because the former binds to single but with higher affinity for vicinal sulfhydryl groups that react with a variety of proteins and inhibit their activity. As (III) is more stable than As(V) because of its electronic configuration [3]. Arsenic is toxic and causes hyper pigmentation, skin-thickening, muscular weakness, neurological diseases, and cancer in humans. The main route of human exposure is through drinking arsenic contaminated groundwater. Therefore, the World Health Organization has lowered the arsenic standard for drinking water to 10 μg L− 1 [4].

Arsenic removal technologies primarily include ion exchange, coagulation-precipitation, membrane separation, biological treatment, oxidation and adsorption as shown in Table 1. Ion exchange is often used to remove arsenic from wastewater. It uses ions or functional groups inside to combine with target arsenic in order to separate arsenic ions from wastewater [5]. This method of removing As(V) in water is much better than As (III) because As(V) exists in the form of ions while As (III) exist largely in the form of molecules [4]. Anirudhan and Unnithan [6] used a novel anion exchanger prepared from coconut coir pith to remove arsenic with an initial arsenic concentration of 1 mg L− 1, with the removal efficiency reaching 99.2%. The coagulation-sedimentation method is a traditional method of arsenic removal. This method involves adding coagulants in arsenic containing water. The stability of the colloid is destroyed by the chemical or physical reactions with arsenic. Aggregates of fine particles are produced and formed larger precipitation particles due to clustering. Separation of arsenic pollutants and water is also achieved through filtration [7]. Membrane separation technology is divided into the two types of high-pressure membrane technology, including reverse osmosis and nano-filtration, and low-pressure membrane technology, including ultra-filtration and microfiltration. The removal of arsenic from surface water by nano-filtration membrane was studied by Waypa et al. [8], who found the removal efficiency reached 99%. Biological methods are a promising alternative to traditional arsenic removal techniques. These methods reduce toxicity by enriching the arsenic in water by itself or its metabolites or transforming As (III) into As(V) [9]. Kao et al. [10] found bacteria, designated As-7325, which can oxidize As (III) into As(V) within 3 days. After that, the As(V) was released by the metabolic products of bacteria through the process of adsorption or co-precipitation. Oxidation methods commonly include chemical oxidation and photo-catalytic oxidation. O3, H2O2, Cl2 and others are chemical oxidants. Pincus et al. [11] examined the oxidation of As (III) to As(V) by Cu2+ in the presence of dissolved oxygen to elucidate the potential and mechanisms of Cu2+ and Cu2+-n-TiO2 involvement in Fenton-like reactions. The results showed that the amount of As (III) oxidized to As(V) is strongly regulated by the Cu2+ loading, with a higher Cu2+ loading leading to more oxidized As (III) form and greater binding to the adsorbent surface as As(V) [11]. The adsorption method for treating arsenic-containing wastewater mainly uses physical, chemical or ion exchange processes to fix arsenic on the adsorbent surface. It may then be separated from the water together with the adsorbents. Adsorbents used for this purpose include activated carbon, modified biochar, metal hydroxide, inorganic nano-metal oxides and their composites. The adsorbents require a large specific surface area, an abundant porous structure and strong function groups [12].

Table 1 Comparison for the removal of arsenic by different technologies

Biochar has been identified as an effective adsorbent that can be used to remove various aqueous heavy metals, because the specific surface area and micro-porous structures of biochar are high. It hosts several surface functional groups, such as carboxyl (−COOH), hydroxyl (−OH) and amino (−NH2), for adsorbing heavy metal effectively [13]. These groups can work through electron donation, cation exchange, electrostatic attraction, or surface complexation to remove heavy metals [14]. Recent studies have focused on the use of potential adsorbents, including the use of hard wood [15], peanut hull [16], natural lignocelluloses materials [17], cottonwood [18], animal waste [19], corn straw [20], coconut shell [21], walnut shells [22], hazelnut [23], cotton stems [24] and sawdust or rice straw [25] as cheap and environment friendly materials. Therefore, in this research, a novel adsorbent with higher adsorption properties and easy recovery for arsenic removal was prepared from waste wood of a wood processing factory. The objectives of this work are to analyze (a) the preparation of biochar and modified biochar; (b) the characteristics analysis of material; (c) the effect of pH, initial concentration and dosage; (d) the adsorption isotherm and adsorption kinetics; and (e) the mechanism of arsenic removal.

Materials and methods

Preparation of pristine biochar (PB)

PB was prepared by the pyrolysis method from wood biomass obtained from a wood processing factory. First, a crusher was used to crush the wood biomass, and the size after crushing was about 0.1–0.5 cm. After that, the biomass was washed three times using tap water to remove the dirt, such as soil, plastics and dust. Then, it was washed continually using the deionized water to eliminate the influence of other metal ions. It was then dried in an oven at a temperature of 333 K for the duration of 48 h. Next, it was kept in a muffle furnace at the heat-up speed of 300 K min− 1 and a pyrolysis temperature of 873 K for 1 h. Then, it was taken out from the muffle furnace when it had cooled and was washed using the deionized water twice to remove floating objects. After filtering and drying, the PB was obtained.

Preparation of xFeC

To improve the efficiency of magnetism and adsorption, FeCl3 is used to modify the PB in this study. The preparation procedures for magnetic biochar before obtaining the pre-treated biomass are same as for the PB. To obtain the xFeC material, different amounts of FeCl3 (x = 5, 10, 20 and 40 g) and 10 g of the PB were dissolved in 200 mL of distilled water, and stirred for 2 h. After that, the mixture was heated in a water bath and dried in an oven to remove the water to a suitable extent. Further, it was kept in a muffle furnace for pyrolysis under the same conditions as the PB. The material obtained when the procedures were completed was Fe modified biochar represented as xFeC. The value of ‘x’ depends on the weight ratio of FeCl3 and biomass. For example, 0.5FeC, 1FeC, 2FeC and 4FeC represent the weight ratios of FeCl3 at 5, 10, 20 and 40 g, respectively, when the weight of the PB is 10 g.

Preparation of xFeyMnC

xFeyMnC was prepared following the method described above. To obtain the xFeyMnC material, different amounts of KMnO4 (y = 5, 10, 20 and 40 g) and 10 g of xFeC were dissolved in 200 mL of distilled water, and stirred for 2 h. After that, the mixture was heated in a water bath and dried in an oven to remove the water to a suitable extent. Further, it was kept in a muffle furnace for pyrolysis under the same conditions as the xFeC. The material obtained was Mn modified biochar represented as xFeyMnC. The value of ‘x’ depends on the weight ratio of FeCl3 with PB and the value of ‘y’ depends on the weight ratio of KMnO4 with xFeC. For example, xFe0.5MnC, xFe1MnC, xFe2MnC and xFe4MnC represent weight ratios of KMnO4 at 5, 10, 20 and 40 g, respectively, when the weight of xFeC is 10 g. The preparation method of Lin et al. [26] was used in this research.


The pore size distribution, pore volume and specific surface area were determined by performing N2 adsorption-desorption measurements with an ASAP 2020 apparatus by using Brunauer-Emmett-Teller (BET) calculation methods. The morphology of the material was measured through a scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS) analysis. The crystal phase of the material was determined by an X-ray diffraction (XRD) with employing CuKα radiation wavelength of 0.15405 nm, accelerating voltage of 40 kV and current of 30 mA over the 2θ range of 20–80°. The magnetic performance of biochar was carried out at room temperature with a vibrating sample magnetometer (VSM). The fourier transform infrared (FTIR) of the biochar carbon was recorded to study the functional groups at room temperature.

Adsorption performance assessment

Adsorption performance assessment was carried out in 100 mL adsorption system. The biochar was mixed with 80 mL of the appropriate As (III) solution under 25 °C for 24 h. As (III) solutions were prepared by adding As2O3 from High-Purity Standards Company. Afterward, the solution was filtered with using a membrane filter (pore size 0.45 μm). In addition, the residual As (III) in the aqueous solutions was determined by high performance liquid chromatography connected with inductively coupled plasma atomic emission spectroscopy (ICP-AES). The ICP-AES detection limit for arsenic detection is 10 ppb. The test results were regularly tested with standard solution up to 20 ppb to get the accurate data.

The capacity adsorption of As was calculated as follows:

$$ {q}_e=\frac{C_o-{C}_e}{W}\times \mathrm{V} $$
$$ {R}_e=\frac{C_o-{C}_e}{C_o}\times 100\% $$

where qe (mg g− 1) is the equilibrium adsorption capacity, Co (mg L− 1) is the initial concentration of As, Ce (mg L− 1) stands for the equilibrium concentration measured after adsorption, W (mg) is the amount of adsorbent used in the experiments, V (mL) is the volume of As solution and Re is removal efficiency of As by biochar.

Test for the influence of biochar types

To investigate the difference of modified biochar and unmodified biochar, the samples of PB, 0.5FeC, 1FeC, 2FeC, 4FeC, 1Fe0.5MnC, 1Fe1MnC, 1Fe2MnC and 1Fe4MnC (0.08 g) were mixed with 80 mL As (III) solution (1.0 mg L− 1) in a 100 mL plastic bottle, respectively. Under the same conditions as above, samples were collected periodically up to 1440 min, filtered and measured by the ICP-AES. The Eqs. (1) and (2) were used to calculate the adsorption capacity and adsorption efficiency of the nine different types of biochar for As (III) removal.

Test for the influence of pH

To explore the influence of solution pH, the pH of the As (III) solution (1.0 mg L− 1) was set to 3.0, 5.0, 7.0, 9.0 and 11.0, respectively, adjusted by 1.0 M HCl solution or 1.0 M NaOH solution. Three types of biochar samples, including PB, 1FeC and 1Fe2MnC weighing 0.08 g each, were put into the prepared solutions (80 mL) of different pH. The mixed solution was then shaken at 160 rpm for 24 h in the water bath shaker and taken out for analysis.

For additional identification of the biochar, its point of zero charge (pHpzc) was determined. Thus, a 0.01 M NaCl solution, different initial pH (pHInitial) and 0.08 g of PB, 1FeC and 1Fe2MnC were employed. The as-prepared biochar was suspended in each 25 mL of NaCl solution of a pre-adjusted pH, and allowed to stir at 25 °C for 24 h. The final pH (pHFinal) of the supernatant was measured after the oxide suspension separation. The pHInitial-pHFinal curve was drawn using the measured pHInitial and pHFinal values. From the intersection between this curve and the pHInitial = pHFinal line, the pHpzc of the as-prepared biochar may be estimated.

Test for the influence of as concentration

To investigate the influence of As (III) concentration, the initial concentration was varied from 0.25 to 50.0 mg L− 1. The three types of biochar sample (0.08 g) including PB, 1FeC and 1Fe2MnC were added into the As (III) solution with various concentrations of 0.25, 0.5, 1.0, 2.0, 5.0, 10.0 and 50.0 mg L− 1, respectively. In this study, the mixture of biochar and As (III) solution was shaken at 160 rpm for 24 h in the water bath shaker and taken out for analysis.

Test for the influence of biochar dosage

To find the impact of biochar dosage, the dosages of three different types of biochar were varied from 0.2 g L− 1 to 1.2 g L− 1. The initial concentration of As (III) was fixed at 1.0 mg L− 1 and the dosages of PB, 1FeC and 1Fe2MnC were 0.2, 0.4, 0.6, 0.8, 1.0 and 1.2 g L− 1, respectively. This means that the added weight of biochar is 0.016, 0.032, 0.048, 0.064, 0.080 and 0.096 g corresponding to the designed dosage with 80 mL solution. After shaking the mixture at 160 rpm for 24 h, the solids were removed by filtration and the residual liquid was measured by ICP-AES.

Test for the influence of recycle times

In this section, the application potential of PB, 1FeC and 1Fe2MnC were evaluated. The As (III) species adsorption-desorption recycles on PB, 1FeC and 1Fe2MnC were carried out by NaOH regeneration with initial concentration 1.0 mg L− 1 and 0.08 g of biochar for 24 h contact time. Most of the adsorbed As (III) species could be desorbed from biochar by alkaline at pH 11.5, which is good accordance with the results about the effect of pH on As (III) species adsorption. The solids were removed by magnet adsorption and the residual liquid was measured by ICP-AES.

The methods of kinetics models analysis


The pseudo-first-order equation is given as Eq. (3) [27].

$$ \frac{dq_t}{d_t}={k}_1\left({q}_e-{q}_t\right) $$

where, qt is adsorption capacity (mg g− 1) at the time of “t”; qe is adsorption capacity (mg g− 1); k1 is rate coefficient of the first-order adsorption mode (min− 1); and t is time (min).

After the Eq. (3) is integrated, the function formula can be obtained as Eq. (4).

$$ \ln \left({\mathrm{q}}_{\mathrm{e}}-{\mathrm{q}}_{\mathrm{t}}\right)=\mathit{\ln}{q}_e-{k}_1t $$


The pseudo-second-order model is represented as Eq. (5) [28].

$$ \frac{dq_t}{d_t}={k}_2{\left({q}_e-{q}_t\right)}^2 $$

where, k2 is rate coefficient of the second-order adsorption mode (mg g− 1 min− 1).

After arranging the above equation, the Eq. (6) can be obtained as shown followed.

$$ \frac{t}{q_t}=\frac{1}{k_2{q_e}^2}+\frac{t}{q_e} $$

Isothermal adsorption models analysis

Langmuir model

Based on the above assumptions, Langmuir adsorption Eq. (7) is derived as follows [29].

$$ Q=\frac{ab\times {C}_o}{1+a{C}_o} $$

After taking the inverse of the above equation, Eq. (8) can be obtained

$$ \frac{1}{Q}=\frac{1}{b}+\frac{1}{ab\times {C}_o} $$

where, Co is the initial concentration in the solution and Q is the amount of adsorbed by the additive. a and b are Langmuir constants related to adsorption capacity and adsorption energy, respectively. Plotting Q− 1 versus Co− 1, and measuring the slope and intercept of the plot, a and b can be directly interpreted.

Freundlich model

The empirical formula of constant temperature adsorption is proposed, as shown below [30].

$$ Q=K{C_o}^{\frac{1}{n}} $$

Taking the natural logarithm of both sides gives:

$$ lnQ= lnK+\frac{1}{n}\left(\mathit{\ln}{C}_0\right) $$

If experiment absorption matches the above empirical model, then by plotting lnQ versus lnCo the values of the Freundlich constants of K and n can be directly interpreted from the plot as the intercept and slope.

Temkin model

Temkin isotherm model takes adsorbate–adsorbent interactions into account. It is assumed that the relationship between adsorption capacity and pollutant concentration at equilibrium state is linear rather than logarithmic which is different from Freundlich equation. Besides, the adsorption heat decreases linearly rather than exponentially as all adsorbents gradually cover the adsorbent is also assumed [31].

The Eq. (11) for the linear form of Temkin model can be shown as follows:

$$ Q=B\left(\mathit{\ln}{K}_T+\mathit{\ln}{C}_o\right) $$

here, B is Temkin constant related to heat of adsorption (J mol− 1); and KT is Equilibrium binding energy constant (J g− 1).

Thermodynamics analysis

Thermodynamic behaviors are interpreted by the thermodynamic parameters including the change in standard Gibbs free energy (ΔG0), standard enthalpy (ΔH0), and standard entropy (ΔS0). These parameters are calculated by the following Eqs [32].:

$$ \Delta {G}^o=- RTln{K}_L $$
$$ \mathit{\ln}{K}_L=\frac{\Delta {S}^o}{RT}-\frac{\Delta {H}^o}{RT} $$

where, KL (L mol− 1) is the Langmuir equilibrium constant of the adsorption process. R (J mol− 1 K− 1) and T (K) are gas constant and absolute temperature, respectively.

Results and discussion

Characteristics analysis

XRD analysis

As presented in Fig. 1, the XRD analysis of different Fe content modified biochar and PB. PB does not have any obvious and regular diffraction peaks, meaning that it is PB amorphous. After modification with Fe, the materials exhibit obvious characteristics peaks, because of the crystalline Fe species of hematite (Fe2O3) and magnetite (Fe3O4). This shows that the Fe is successfully loaded into the biochar. The characteristic peak intensity of the Mn modified biochar, 1FeyMnC, changes slightly from xFeC biochar with the increasing Mn content of the 1FeyMnC biochar. This shows that the Mn is successfully added to the biochar after Mn modification. Figure 1a showed the 1FeC material has the strongest Fe crystal peak, and the increase of Fe content does not change the peak. Therefore, the best ratio of Fe and carbon is 1:1. In addition, the optimal ratio of Fe/Mn/C is 1:2:1, and the increase of Mn content leads to the decrease of Mn crystal peak (Fig. 1b). Therefore, the 1FeC and 1Fe2MnC were used for subsequent studies.

Fig. 1

The XRD analysis of a xFeC and b xFeyMnC

SEM and EDS analysis

To obtain the typical surface morphologies and element message, SEM and EDS analysis are performed. Figure 2a shows that the surface of the PB is smooth and the abundant pores are arranged regularly. The formation of pores is generated by the decomposition of lignocelluloses and lignin under high temperature. The EDS results in Table 2 and Fig. 2b reveal that the elemental composition includes C and O and is consistent with the results of the elemental analyzer. Figure 2c shows that the many small particles in the surface uniformly block the pores of the material, correspond to Fe particles. Given the EDS results in Fig. 2d, it is evident that the particles are Fe. In Fig. 2e, a layer of dense particles emerges on the surface, decreasing the pore amounts and causing the roughness. The EDS results in Fig. 2f reveal that the covering particles are Fe and Mn, which is consistent with the former analysis results of XRD.

Fig. 2

SEM images and EDS analysis of a, b PB, c, d 1FeC and e, f 1Fe2MnC

Table 2 EDS analysis results

The hysteresis regression analysis

Considering the recycling of biochar after adsorption through the magnetic field, the magnetization strength is tested. Figure 3a shows that the PB has almost no magnetism. However, the modification of Fe increases the magnetism of materials in contrast to PB because of the formation of Fe3O4. The 0.5FeC can reach its highest largest magnetism levels, 5.3 emu g− 1. However, this remains insufficient to recycle the biochar. Hence, the Mn is used to enhance the material’s magnetism. Figure 3b shows that the Mn modified biochar has much higher magnetism due to the interaction between Fe and Mn, which enhances its recycling ability. The highest obtained magnetization strength is 43 emu g− 1. Son et al. [33] found that the saturation magnetization value of iron modified biochar is 8.64 emu g− 1. This is sufficiently ferromagnetic to recollect the used biochar from the suspended solution via the external magnetic field. In this study, the 1Fe1MnC and 1Fe2MnC can be readily obtained by the external magnetic field with the respective saturation magnetization values of 43 and 21 emu g− 1.

Fig. 3

Hysteresis regression analysis of a xFeC and b xFeyMnC

BET analysis

To obtain the pore size distribution and surface area of different biochars, a BET analyzer was used before and after modification. Figure 4 shows the pore size distribution of PB, 1FeC and 1Fe2MnC is 20.9, 21.7 and 46.4 Å, respectively. Table 3 show the specific surface area of PB, 1FeC and 1Fe2MnC is 524, 181 and 135 m2 g− 1, respectively. The specific surface area decreases after modification due to the Fe and Mn blocking. The results are in good agreement with the SEM analysis. The mean pore size of PB, 1FeC and 1Fe2MnC is 20.9, 21.7 and 46.3 Å, respectively. They are thus mesoporous materials on the basis of the pore size between 2 and 50 nm, while the pore size of 1Fe2MnC is larger than that of the PB and 1FeC since many original small pores of PB are missing owing to its heavier blocking with metals and metal contents of biochar. Additionally, Fe and Mn cover on the surface of biochar and combine to form a new structure, causing the pore size of 1Fe2MnC to become larger than that of the PB.

Fig. 4

The pore size distribution of a PB, b 1FeC and c 1Fe2MnC

Table 3 Analysis data of surface area and pore size

FTIR analysis

The changes in the functional groups of biochars before and after modification were analyzed by FTIR spectroscopy, as shown in Fig. 5. The -OH and N-H stretching vibration band are characteristic peaks of the amine group at about 3400 cm− 1 [34]. The appearance of peaks at 2930 and 2849 cm− 1 in the spectrum were attributed to C-H stretching vibration in -CH and -CH2 [34]. C=O vibrations at 1750 cm− 1 are produced by the stretching vibration of the oxygen-containing functional group C=O bond [35]. The band at 1620 cm− 1 can be ascribed to C=C aromatic ring stretching vibration [35]. The band at 1470–1430 cm− 1 is ascribed to C-H bending vibrations in CH3 groups [34]. The nature of the feedstock was reflected by the presence of bands around 1040–1100 cm− 1, which were assigned to SiO2, and these bands were observed in all biochar carbon [36].

Fig. 5

FTIR spectrums of a PB, b 1Fe2MnC and c 1FeC

Performance test analysis

The influence of modification for biochar

Figure 6a shows that the As (III) removal efficiency of the Fe modified biochar was greater than that of the PB. These results are consistent with the experimental results of Kim et al. [37]. The highest removal efficiency with Fe modified biochar was 62%, almost 5 times that of PB, owing to the formation of R-FeH2AsO3, R-FeHAsO3, R-FeAsO32−, R-Fe2HAsO3 and R-Fe2AsO3 species, where R identifies functional group of the biochar. The ligand exchange between the arsenite anion and the hydroxyl functional group of Fe oxide in the Fe-modified adsorbents can increase the interaction of As (III) and biochar. With the increasing Fe, the efficiency first increases, but decreases thereafter. The reason for the eventual decrease may be Fe blocking of the pore structure, which can directly decrease the specific surface area. Figure 6b clearly shows that the Mn modification has a significant effect on the removal ability. The highest efficiency is 81% with 1Fe2MnC, which is seven times higher than that of the PB. This may be due to the oxidation of As (III) to As(V) when Mn added. Similar observations of the redox potential of Mn have been found by Lin et al. [26]. Apart from this, the reduction products of Mn3+ to Mn2+ can play a role similar to that of Fe ions as noted above. Additionally, the variations in pH value were not obvious before and after the adsorption experiment.

Fig. 6

As removal efficiency with a xFeC and b xFeyMnC

The influence of pH

The effect of the As removal was studied by varying the pH values over the 3.0–11.0 range. To study the electrostatic force between As (III) and adsorbents, a zeta potential experiment of the three types biochar was studied and the results shown in Fig. 7a. The pH at zeta potential is 4.2, 6.1 and 2.1 for the PB, 1FeC and 1Fe2MnC, respectively. This can help identify the surface charge of the adsorbents. When the solution pH is below the zeta potential pH, the surface is positively charged, and vice-versa. As presented in Fig. 7b, the pH exhibits different effects on the removal efficiency of the three types of biochar, which may relate to the reaction mechanism. The PB shows negligible influence. By contrast, the efficiency with 1FeC increases with slightly increasing pH. The adsorption efficiency with 1Fe2MnC clearly decreases with increasing pH.

Fig. 7

a Zeta potentials and b effects of initial pH on the As (III) removal efficiency

The rise in As (III) removal efficiency may be due to chemical adsorption rather than electrostatic attraction at high pH value, such as pH 9. H3AsO3o and H2AsO3 could connect with deprotonated Fe–O surface sites through the hydrogen-bond at higher pH prior to chemical adsorption [38]. The 1Fe2MnC has the highest removal efficiency at a low pH, around 3. Compared to other adsorption forces, the electrostatic attraction is dominant. The zeta potential of the 1Fe2MnC is around 2.0 and the As (III) exists as almost a negative species in the experimental range. Above pH 3, the biochar surface is much more negative. Therefore, electrostatic repulsion will reduce the As (III) uptake heavily. Sattar et al. [39] have shown As (III) adsorption reaching at maximum adsorption at 7.1 and 7.2 near-neutral pH by biochar.

The influence of initial concentration

The three lines reveal that the removal capacity increases from 0.056 to 0.16, from 0.17 to 0.89 and from 0.22 to 1.1 mg g− 1, respectively, with an increase in the initial As (III) concentration from 0.25 to 5.0 ppm. Prior to the saturation of active sites present on the adsorbent surface and the higher concentration of As, more active sites can be used. Hence, the value of qe can greatly increase. However, the qe of PB stopped increasing after 2 ppm mainly due to the saturation occurring earlier than with the modified biochar. By contrast, the increasing trend with the modified biochar reveals a higher removal potential than the unmodified biochar, as show in Fig. 8.

Fig. 8

The influence of initial concentration of As (III)

The influence of dosage

As shown in Fig. 9, six different dosages (0.2, 0.4, 0.6, 0.8, 1.0 and 1.2 g L− 1) of PB, 1FeC and 1Fe2MnC have been tested. The maximum removal efficiency of 72% is found at the dosage of 1.2 g L− 1. The more adsorbents used, the more active sites can be supported. Therefore, more As (III) can be removed as the number of active sites increases. In addition, the removal efficiency increased in the range of 0.0–29%, 17–65% and 21–72%, respectively, under the studied dosages from 0.2 to 1.2 g L− 1. By contrast, the measurement of qe shows the opposite results because of the diminution of equivalent active functional sites on the surface of the adsorbents. The decrease in adsorption capacity is due to the increase in intermolecular attraction between the adsorbent.

Fig. 9

The influence of adsorbents dosage

Effects of recycle times

The adsorption capacity of As (III) on PB, 1FeC and 1Fe2MnC is not substantially changed after seven recycles of the adsorption-desorption processes, as shown in Fig. 10. Most of the adsorbed As (III) species can be desorbed from biochar by the alkaline at pH 11.5, which is in good accordance with the previous results on the effect of pH on As (III) species adsorption. However, after seven recycles of the adsorption-desorption processes, the adsorption capacity of the As (III) on biochar exhibited an obvious decline. It is possible that the structure of the 1FeC and 1Fe2MnC begins to be damaged and the metal element is detached. Therefore, the turbidity of the solution along with the metal concentration is increased significantly after seven recycles.

Fig. 10

The uptake of As (III) by biochar in consecutive adsorption-desorption cycles at initial concentration 1.0 mg L− 1

Adsorption isotherm models analysis

Foo and Hameed [40] explained that the analysis of adsorption isotherms models can be used for investigating the adsorption behavior and assessing the feasibility of field application. To obtain the three types of biochar surface properties and the behaviors in adsorbing As (III), commonly used adsorption isotherm models, such as Langmuir, Freundlich and Temkin, are applied here in to fit the experimental data in the present study. The Langmuir adsorption isotherm model is based on the assumption that the entire adsorption process is a single-molecule layer adsorption between the solute and solid phases, while the Freundlich adsorption isotherm model is an empirical equation without assumptions and without considering adsorption saturation. The multi-molecular layer adsorption process occurring on an uneven surface is simulated. The Freundlich model is based on the hypothesis that the binding sites are not equal and there is a heterogeneous surface for adsorption [41]. The Temkin equation is used to describe the adsorption equilibrium of a single molecular layer in a non-ideal adsorption system.

The experiments are operated for the concentrations of 0.25, 0.5, 1.0, 2.0 and 5.0 mg L− 1, respectively. Compared to the other models, our results better fit the Langmuir model with the linear correlation coefficients (R2) of 0.990, 0.992 and 0.980. These results reveal that the adsorption is a single molecule adsorption. In addition, the maximum adsorption capacity based on the simulation of the Langmuir model is 0.18, 1.0 and 0.90 mg g− 1 for PB, 1FeC and 1Fe2MnC, respectively. For the constant value n for the Freundlich adsorption isotherm model, the values are 3.19, 2.57 and 3.46, respectively, all in the range of 2 to 10. Prepared biochars are thus unfavorable for As (III) adsorption. According to the value B of Temkin model with larger than 20 J mol− 1, the adsorption energies for typical chemical adsorption. In this research, the value of B is 30, 180 and 160 J mol− 1, indicating that the adsorption process involves chemical adsorption, as shown in Table 4 and Fig. 11.

Table 4 Parameters for different isotherm of As (III) adsorption with biochars
Fig. 11

Adsorption isotherm analysis of a Langmuir; b Freundlich and c Temkin model

Adsorption dynamics

Adsorption of As (III) in wastewater by the adsorbent is a complicated adsorption reaction process. To explore the speed of the three different types of biochar to adsorb As (III), the kinetic adsorption models are tested to obtain the related constants. In this research, the pseudo-first-order and pseudo-second-order are simulated and the relevant kinetic parameters k1, k2, qmaxdy (maximum adsorption capacity of dynamic simulation) and R2 are presented in Table 5 and Fig. 12.

Table 5 The adsorption dynamics parameters of different models
Fig. 12

Kinetic adsorption curves of As on materials: a Pseudo-first-order and b Pseudo-second-order kinetics

The three types of biochar fit the pseudo-second-order simulation better under the consideration of both the R2 and qe value. The R2 of pseudo-second-order simulation is 0.981, 0.986 and 0.991, respectively, and the value is 0.980, 0.919 and 0.938 for the pseudo-first-order simulation. Table 5 shows that the modified biochar reveals much stronger adsorption ability towards As (III). The saturated adsorption capacity of the three types of biochar is 0.14, 0.67 and 0.62 mg g− 1, respectively, with PB, 1FeC and 1Fe2MnC under the simulation of pseudo-second-order simulation at pH 7 and 298 K. This is much closer to the specific experimental data of 0.13, 0.68 and 0.62 mg g− 1, respectively, than with the values of 0.12, 0.50 and 0.48 mg g− 1 obtained from pseudo-first-order simulation. In addition, the adsorption capacity of the three types of biochar towards As (III) follows the ranks order as 1FeC > 1Fe2MnC > PB. This simulation trend is corresponding with the actual experiment data in the given situation of pH 7 and 298 K.

Thermodynamics analysis

Thermodynamic parameters were determined from Eqs. (12) and (13), respectively. The plot of lnKL as a function of 1/T yields a straight line (R2 = 0.947) from which ΔHo and ΔSo were calculated from the slope and intercept, respectively. The negative values of ΔGo (− 1.42, − 4.56, − 8.93 and − 9.88 kJ mol− 1 at 288, 298, 308 and 318 K, respectively) suggested that the adsorption process was spontaneous. However, the increase in absolute values of ΔGo with increasing temperature shows an increase in feasibility of adsorption at higher temperatures. In addition, the negative values of ΔGo in this study were within the ranges of − 20 and 0 kJ mol− 1, which indicated that the adsorption mechanism was mainly a spontaneous reaction [42]. The positive value of ΔHo (84.8 kJ mol− 1) indicates the endothermic nature of the adsorption processes. The positive ΔHo is an indicator of endothermic nature of the adsorption process and also its magnitude gives information on the type of adsorption, which can be either physical or chemical. The enthalpy of adsorption, ranging from 2.1 to 20.9 kJ mol− 1 corresponds to physical adsorption and higher than 20.9 kJ mol− 1 is chemical adsorption [43]. The ΔHo value of As (III) adsorption onto 1Fe2MnC is in range of chemical adsorption. Therefore, the ΔHo value shows that the adsorption process was taken place via chemical adsorption. The positive value of ΔSo (302 J mol− 1 K− 1) showed the affinity of 1Fe2MnC for As (III) and the increasing randomness at the solid-solution interface during the adsorption process, as shown in Table 6.

Table 6 Thermodynamic model parameter values at different temperatures with 1Fe2MnC

Mechanism assumption

Base on the results of the material property analysis and adsorption performance evaluation, possibly existence reaction models can be assumed in Fig. 13. The reaction types of the adsorption of arsenic by biochar include both physical and chemical reactions, and the As (III) was removed with major contribution by chemical reaction. Biochar can connect with arsenic through hydrogen bonding from the functional group -OH in biochar and the arsenic itself. Further, they can attract each other by electron force when the biochar surface is filled with positive charge. Compounds of manganese have strong oxidizability to oxidize As (III) to As(V) [44]. By comparison, As(V) is easier to be removed. In addition, the iron ions act as a bridge to connect the biochar and the As(V) resulting in the formation of new complex compounds.

Fig. 13

Schematic diagram of reaction mechanism analysis


XRD analysis results show that Fe2O3 and Fe3O4 occur on the surface of the xFeC. SEM-EDS analysis results demonstrates that iron and Mn ions are successfully coated because the smooth surface changes to rough surface after coating and the elements of Fe and Mn appear in the EDS analysis. Hysteresis regression analysis shows that magnetism of the xFeC and xFeyMnC is increased to far more than that of the PB. 0.5FeC adsorbents can reach the largest magnetism, 5.3 emu g− 1. The highest magnetization strength is 43 emu g− 1 from the 1Fe2MnC. From the nitrogen absorption and desorption analysis, the specific surface areas of the PB, 1FeC and 1Fe2MnC are 524, 181 and 135 m2 g− 1, respectively. Further, they are all mesoporous materials, given their average pore size. The arsenic removal efficiency with FeC and FeMnC is much higher than that of the PB at pH 7. In particular, the removal efficiency with 1FeC and 1Fe4MnC reaches 62 and 81%, respectively. As pH increases, the removal efficiency of As (III) with PB and 1FeC increases slightly while it clearly decreases with 1Fe2MnC. The adsorption behaviors with PB, 1FeC and 1Fe2MnC all fit the Langmuir isothermal adsorption model and pseudo-second-order adsorption dynamics model better. The reaction mechanisms for removing arsenic include physical and chemical reactions, including electrostatic function, oxidation reaction, complexation reaction and hydrogen bonding function.

Availability of data and materials

All data generated or analyzed during this study are examined by our group and certified for several times.


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The authors acknowledge financial supports form the Taiwan’s Ministry of Science and Technology (MOST 107-2622-E-197-001-CC3). First author acknowledges the Department of Environmental Engineering, National I–Lan University, Taiwan to support his research at the university.


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Chih-Kuei Chen provided real test data, Jia-Jia Chen supported the test data, Nhat-Thien Nguyen and Nguyen-Cong Nguyen wrote the paper, Thuy-Trang Le analyzed the test data, and Chang-Tang Chang organized the researched full structure. All authors read and approved the final manuscript.

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Correspondence to Chang-Tang Chang.

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Chen, CK., Chen, JJ., Nguyen, NT. et al. Specifically designed magnetic biochar from waste wood for arsenic removal. Sustain Environ Res 31, 29 (2021).

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  • Magnetic biochar
  • FeMnC
  • FeC
  • Modification
  • Arsenic