Introduction

Chromium (Cr) is one of the most toxic heavy metals, primarily existing as Cr(III) and Cr(VI) in the natural environment, and Cr(VI) is more soluble and toxic than Cr(III) (Zhang et al. 2019). Cr(VI) could seriously harm the ecological environment and cause a series of health problems ranging from skin irritation to lung carcinomas (Dong et al. 2017). The threshold of Cr(VI) in the drinking water was limited to 0.05 mg/L as regulated by the World Health Organization (Wu et al. 2013). Therefore, the removal of polluted water with Cr(VI) has become an exigent environmental issue. The conventional physicochemical processes including ion exchange (Han et al. 2020), membrane filtration (Manohara et al. 2019), and adsorption technologies (Monser and Adhoum 2009) were commonly applied to Cr(VI) removal. The removal effect of ion exchange is effective, while its development may be limited by the fact that harmful chemicals may be released into the environment when the resin is regenerated (Muniz et al. 2009). The membrane method exhibits high adaptability, but the cost performance is low because of higher energy requirements (Manohara et al. 2019). Porous carbon or activated carbons (ACs) are widely used in wastewater purification due to high specific surface area and adsorption performance (Liang et al. 2020). It is worth noting that the differences in the physical structure and chemical composition of the carbon precursor greatly affect the physicochemical properties of ACs (Theydan and Ahmed 2012).

Recently, many researches have been devoted to the preparation of ACs from various precursor materials (Lee et al. 2014; Reguyal et al. 2017). Cotton textile waste (CTW) is rich in cellulose and other substances, which could provide a sufficient carbon source of carbonization. In our previous study, ACs with good surface characteristics were prepared by pyrolysis with chemical activation of CTW (Tian et al. 2019; Xu et al. 2018). To further improve the structural characteristics and surface properties of ACs, chemical activation is considered a highly efficient method. At present, acid, alkali, and metal ions have been used as activating agents to prepare well-developed ACs (Wang and Wang 2019). Nevertheless, it is difficult to recover or separate materials after using ACs as adsorbent (Reguyal et al. 2017). In recent years, the development of magnetic ACs has aroused great interest. It can be recycled by the magnetic field after adsorption and removal of special pollutants (Devi and Saroha 2014). It has been found that magnetic ACs can be prepared by impregnation of precursor materials with HCl aqueous solutions of either FeCl3 or FeCl2 at various concentrations and pH values (Muniz et al. 2009). FeCl3 has been widely used to synthesize magnetic ACs, and the activation mechanism is relatively mature (Xu et al. 2019). So far, some researches have studied FeCl2 and found that Fe2+ could catalyze the production of a large amount of small-molecule gas products, thereby bringing more excellent pore structure to ACs (Wang et al. 2007). Moreover, compared with FeCl3, FeCl2 exhibits better impregnation on raw materials (Ohmukai et al. 2008). Thus, FeCl2 might have a more efficient activation capacity, and its activation effect should be further studied. However, there is a great concern about the accumulation of activating agents in the activation process, as well as about the high proportion of its in one-step activation pyrolysis, which caused relatively inferior utilization rate and corrosion of pyrolysis equipment. Specifically, since water is used as the solvent, additional hydrogen bonds in water may affect the surface area of FeCl2, resulting in high particle agglomeration (Raiteri et al. 2004). It could be found that it is feasible to maintain homogeneous and stable dispersions of FeCl2 in the impregnation process. Therefore, the dispersity of FeCl2 should be improved in this process.

Dispersity issues can be eradicated using suitable dispersants by an economical and feasible way to achieve their effective utilization (Tseng et al. 2011). At present, several types of dispersants have been used for dispersing particles and improving their properties (Li et al. 2018b). The dispersant was only used in the impregnation process, mainly to alleviate the accumulation of FeCl2. Besides, it is important to pay attention to the properties of dispersants to prevent the introduction of impurities to affect the subsequent AC adsorption application. Hence, traditional alcohol dispersant is suitable, and its cheap properties could also control the cost. Most important, excellent volatilization of ethanol at low temperatures had little influence on subsequent FeCl2 activation of CTW (Feng et al. 2020). Furthermore, previous reports showed that the stability of pure ethanol dispersion was higher than that of other dispersion under the different proportions of ethanol and water (Ilyas et al. 2014). Thus, given the influence of hydrogen bond in water, anhydrous ethanol (AE) was used to disperse FeCl2.

In this work, FeCl2 is an activating agent to synthesize ACs from cotton textile waste. Considering the aggregation of FeCl2 on CTW, AE dispersant was used to replace deionized water to improve its activation effect. An orthogonal experimental method was applied to optimize the mass ratio of FeCl2 to CTW, the activation temperature, and the activation time for the preparation of ACs. In more detail, the objectives of this paper were (i) to evaluate the effect of AE dispersion on the activation efficiency of FeCl2 and (ii) to assess the adsorption performance of ACs for Cr(VI) by adsorption kinetics, isotherm.

Materials and methods

Materials

Cotton textile waste (CTW) was obtained from Shanghai Shuangou Textile Co., Ltd. (China). Analytical-grade K2Cr2O7, C2H6O, FeCl2·4H2O, HCl, HNO3, H2SO4, and NaOH were purchased from Sinopharm Chemical Reagent Co., Ltd.

Preparation

The synthesis procedure of activated carbons was as follows: the CTW was cut into pieces with an average size of 5 mm, and 2.5 g of pretreated CTW was fully immersed in the determined FeCl2 solution dissolved in 25 mL of anhydrous ethanol or deionized water (a mass ratio of FeCl2: CTW from 0.5:1 to 1.5:1) and sealed the solution at 20 °C for overnight. Then, the mixture was placed in a vacuum oven at 60 °C for 12 h. Afterwards, the mixture was heated in a tube furnace with N2 atmosphere at a flow rate of 100 mL/min from room temperature to the designated temperature (600–800 °C) at 10 °C/min and maintained for different activation time (1–3 h). The obtained sample was immersed in boiling HCl solution (1.0 mol/L) for 10 min and then washed with deionized water until the pH value of the effluent was close to neutral. Finally, after drying for 12 h in an oven at 105 °C, all as-prepared carbons were prepared and stored in a vacuum for reserve. Samples synthesized by dissolving with AE were marked as x-y-z (x is the mass ratio of FeCl2/CTW, y is the activation temperature, and z is the activation time). AC prepared in optimal conditions based on orthogonal experimental (mass ratio 0.5:1, activation temperature 600 °C, and activation time 1 h) was named as AC-AE. The sample for dissolving FeCl2 in deionized water under the same optimal conditions was called AC-DI. Besides, FeCl2 was used to impregnate CTW, but the dissolution method of FeCl2 was different. As FeCl2 was dissolved in deionized water, it is considered as impregnation scheme D, while the dissolution after AE was determined as the impregnation scheme E.

Characterization

The iodine number determination of the ACs was measured according to the Chinese National Standards (GB/T 12496.8–1999). The morphological properties of the CTW and ACs were detected using a scanning electron microscope (HITACHI/S4800, Japan). The pore development of the ACs was explored using N2 adsorption/desorption isotherms at 77 K, employing a surface area analyzer (Quantachrome/autosorb-iQ-2MP, USA). The total pore volume (Vtotal) was determined as the adsorption volume at 0.99 P/P0. The micropore surface area (Smicro) and micropore volume (Vmicro) were calculated using the t-method. The pyrolysis behavior of CTW, CTW, and FeCl2 (H2O/C2H6O) mixtures was carried out by thermogravimetric (TG) analyzer (TGA-1250, USA) in N2 atmosphere (100 mL/min), heated at the rate of 10 °C/min to reach 600 °C, and kept the temperature for 1 h. The crystal structures of the ACs were measured using an X-ray diffractometer (Bruker/D8 ADVANCE, Germany) at 40 mA and 40 kV with Cu Kα radiation and recorded from 5 to 80° (2θ) at a scanning rate of 3°/min. The surface chemistry of the ACs was determined using a Fourier transform infrared spectrometer (FTIR Bruker/Tensor 27, Germany) over the spectral range from 400 to 4000 cm−1. The point of zero charges (pHpzc) of the ACs was measured by the mass titration (Islam et al. 2017a), where 1 g of ACs was added to 10 mL of deionized water for 24 h, and the pH of the mixture was the value of pHpzc. Magnetic measurements were determined with a vibrating sample magnetometer (VSM, quantum) at 300 K. The field-dependent magnetization curves were calculated between ± 20 kOe. The yield was defined as the ratio of the mass of ACs to that of CTW, which could be explained by Eq. (1):

$$ \mathrm{Yield}\left(\%\right)=\frac{W_C}{W}\times 100\% $$
(1)

where W is the weight of CTW; Wc is the weight of the final AC sample after washing and drying.

Orthogonal experiment

The orthogonal experimental design was carried out to obtain the optimal experimental conditions of the ACs. The arranged mixed-level table is shown in Table 1. Letters of A, B, and C were denoted to mass ratio, activation temperature, and activation time, respectively. It should be noted that FeCl2 used in this experiment was all impregnated by AE.

Table 1 Factors and levels of the orthogonal experiment

Adsorption experiments

Effects of pH

The initial pH values of Cr(VI) solutions were adjusted with the range pH 2–7 by NaOH (0.1 mol/L) and HNO3 (0.1 mol/L). Then, 0.1 g ACs was added to the Cr(VI) solution (50 mg/L, 50 mL), and the reaction was conducted at 25 °C and 150 rpm in a shaker. After 12 h, the solution was taken out and filtered with a 0.45-μm filter membrane, and then its absorbance was measured by a spectrophotometer (UV–Vis, Shanghai Jingke Scientific Instrument Co., Ltd., UV-754, China) according to the Chinese National Standard (GB/T7467-87). The adsorption capacity (q) and removal rate (R) of Cr(VI) by ACs were calculated by Eqs. (2) and (3):

$$ q=\frac{\left({C}_0-{C}_I\right)\times V}{m} $$
(2)
$$ R=\frac{\left({C}_0-{C}_I\right)}{C_0}\times 100\% $$
(3)

where C0 (mg/L) and CI (I = e) (mg/L) are the initial and equilibrium concentrations of Cr(VI), respectively; V (L) is the volume of the solution, and m (g) is the dry weight of ACs.

Adsorption kinetics

Adsorption kinetic experiments were carried out by adding 0.1 g of ACs to 50 mL of solution (50 mg/L) with pH = 2, and the adsorption processes were carried out in a shaker at 25 °C and 150 rpm, but with different contact time (10, 30, 60, 120, 240, 360, or 720 min). Then, the concentration of Cr(VI) was measured, and the specific operation could be referred to “Effects of pH.” The adsorption capacity of different contact times was calculated by Eq. (2), where CI (I = t) is the concentration at that time t (h). To study the adsorption kinetic characteristics of ACs on Cr(VI), two kinetic models were proposed to fit the kinetic experimental data, which could be expressed in Eqs. (4) and (5):

$$ \mathrm{Pseudo}-\mathrm{first}-\mathrm{order}\ \mathrm{model}:\ln \left({q}_e-{q}_t\right)=\ln {q}_e-{k}_1t $$
(4)
$$ \mathrm{Pseudo}-\mathrm{second}-\mathrm{order}\ \mathrm{model}:\frac{t}{q_t}=\frac{1}{k_2{q}_e^2}+\frac{t}{q_e} $$
(5)

where qe and qt (mg/g) are the adsorptive capabilities at equilibrium and time t, respectively, and k1 (min−1) and k2 (g/(mg min)) are the rate constants of the pseudo-first- and second-order models, respectively.

Adsorption isotherms

Adsorption isotherm experiments were conducted by adding 0.1 g of ACs to 50 mL of different initial concentrations of solution (50, 100, 200, 400, or 600 mg/L) with pH = 2; the reaction was conducted at 25 °C and 150 rpm in a shaker. After adsorption, the concentration of Cr(VI) was measured, whose operations were detailed in the “Effects of pH.” The equilibrium concentration was calculated by Eq. (2). To analyze the Cr(VI) adsorption behavior of ACs, two adsorption isotherm models were proposed to fit the experimental data, which could be expressed in Eqs. (6) and (7):

$$ \mathrm{Langmuir}\ \mathrm{model}:{q}_e=\frac{q_m{K}_L{C}_e}{1+{K}_L{C}_e} $$
(6)
$$ \mathrm{Freundlich}\ \mathrm{model}:{q}_e={K}_F{C}_e^{\frac{1}{n}} $$
(7)

where Ce (mg/g) is the equilibrium Cr(VI) concentration, qe (mg/g) is the adsorptive capabilities at the equilibrium of Cr(VI), qm (mg/g) is the maximum adsorptive capability, KL (L/mg) is the Langmuir affinity constant, and n and KF ((mg/g) (mg/L)−1/n) are the Freundlich constants corresponding to the adsorption intensity and capability, respectively.

Reusability

The synthesis of magnetic activated carbon (MAC) was basically consistent with the procedure of AC-AE; the main difference was that MAC was washed repeatedly by deionized water instead of pickling. For adsorption of MAC, the similar procedures were performed, but the difference was the amount of adsorbent and adsorbate used (0.4 g, 200 mL); the details were described in “Effects of pH.” To evaluate the reusability and stability of MAC, the cycle number–dependent adsorption capacities were checked for 50 mg/L of Cr(VI) (200 mL). The details were as follows: the saturated MAC with Cr(VI) was dispersed in 50 mL of eluent (0.2 mol/L NaOH) at 25 °C and 150 rpm in a shaker for 12 h. Afterward, the solid materials were collected by an external magnetic field, thoroughly washed with deionized water, then soaked it in H2SO4 solution (50 mL, pH = 3) for 2 h for activation and reused in the next run of adsorption.

Results and discussion

Orthogonal experimental analysis

The mixed-level orthogonal table L9 (34) was presented. The mixed-level orthogonal array was an experimental design method dealing with multi-factors and multi-levels. The analysis of range was calculated by the difference between the maximum and minimum of the averages for each factor.

Specific surface area

The results of mixed-level orthogonal arrays design are displayed in Table 2. The specific surface areas (response value) of ACs were measured, which were between 526.361 and 789.540 m2/g. The N2 adsorption/desorption isotherm of samples is shown in Fig. 1a. It could be found that the ACs have displayed type I isotherm (when P/P0 < 0.4) and H4 hysteresis loops (when P/P0 > 0.4) by the IUPAC classification, indicating the presence of prominent microspores and slight amounts of mesoporous (Lam et al. 2017; Lee et al. 2014). With the rise of mass ratio or activation temperature (e.g., 1.5-800-2 and 1-800-1), the relative pressure ranges corresponding to the hysteresis loop became wider, which suggested the occurrence of pore widening in ACs along with the formation of mesopores (He et al. 2012). Overall, the ACs had more developed microporous structures, while the mesoporous were slight, which was coherent to the pore size distributions in Fig. 1b. Meanwhile, Table 2 presents that 1.5-800-2 and 1-800-1 exhibited relatively lower specific surface areas of 526.361 m2/g and 541.721 m2/g due to the destruction of the produced microspore walls (Siddiqui et al. 2018). In impregnation scheme E, dissolved FeCl2 might exhibit superior accessibility to CTW, and its reasonable distribution could ensure that CTW could be carbonized completely and stably to produce ACs, whereas severe activation conditions might be detrimental to the development of AC pore structure. Notably, 0.5-700-2 showed an abundant microporous structure in the range of 1.0–1.3 nm, which was accompanied by mild reaction conditions. The high-efficiency dispersion of AE alleviated the agglomeration effect of FeCl2, improved its activation effect, and correspondingly affected the reaction conditions, which was analyzed in detail below (Tseng et al. 2011).

Table 2 The results of mixed-level orthogonal array design for pyrolysis pretreated ACs
Fig. 1
figure 1

N2 adsorption/desorption isotherms (a) and pore size distributions (b) of ACs

Analysis of range

To determine the optimization of preparation conditions, it was proposed to use the range analysis method to process the ACs and synchronously analyze the influence of three factors on AC performance in Table 3 and Fig. 2 (Xia et al. 2019). Range analysis results showed that the influence of factors on the overall point in decreasing order was activation temperature (B) > activation time (C) > mass ratio (A). Notably, the least influential factor was the mass ratio. In this study, FeCl2 in the liquid phase was actively absorbed by AE and was uniformly attached on the surface of CTW, which could make full contact with CTW and improve the subsequent activation effect (Shi et al. 2019). Meanwhile, the natural thermodynamic instability of AE led to the enhancement of electrostatic repulsion and steric hindrance, which reduced the potential FeCl2 accumulation (Tseng et al. 2011).

Table 3 The range analysis of the overall evaluation point of ACs
Fig. 2
figure 2

The effects of different preparation conditions on the surface area

Figure 2 displays the effect of the three factors on the specific surface area according to the range results. It can be seen that lower FeCl2 dosage could achieve better specific surface area, mainly because the use of AE reduced the conventional dosage of activating agent. However, as the mass ratio further increased, the specific surface area of ACs decreased. An explanation for this might be that a high dosage of FeCl2 caused excessive activation (Liew et al. 2018). The pore structure formed in ACs was destroyed, and AE might aggravate this effect. Therefore, the dosage of FeCl2 and the effect of AE should be considered comprehensively. With the activation temperature increasing, the specific surface area of ACs sharply decreased. This directly confirmed the positive effect of AE on the preparation of ACs in the pyrolysis process. Generally, the higher temperature was required to completely carbonize the precursor due to the uneven distribution and partial aggregation of the activating agent (Wang and Wang 2019). Because FeCl2 was fully dispersed on CTW, the optimal condition could be reached stably and smoothly. With the further increase of activation temperature, the specific surface area decreased dramatically. During pyrolysis, FeCl2·4H2O could undergo dehydration, dechlorination, and iron species evolution and transform into Fe2O3 and Fe3O4 (Ohmukai et al. 2008). Additionally, the iron oxides could consume the carbon matrix, destroying the pore structure in ACs (Rufford et al. 2010). In this way, the requirement of activation temperature for the preparation of ACs was slight with the effect of AE. As the extension of activation time, the specific surface area increased appreciably. It could be objectively observed from Fig. 1b that the prepared ACs under the condition of long activation time emerged more mesopores, which were not conducive to the subsequent adsorption application of ACs (Lee et al. 2014). As discussed above, the use of impregnation scheme E might help CTW to adequately carbonize earlier. Consequently, long activation time might not be beneficial to the development of AC pore structure.

Based on this study, it can be seen that the mass ratio had the lowest effect, and the lowest mass ratio could be used to further control the dosage of the activator. FeCl2 was more suitable at a lower temperature, which was fully satisfied at 600 °C. To prepare ACs with better microporous properties and avoid excessive energy consumption as much as possible, shorter activation time was enough. Therefore, the optimal factorial combination concluded the activation temperature of 600 °C, the mass ratio of 0.5:1, and the activation time of 1 h. Next, the AC-AE and AC-DI prepared under optimal conditions were characterized and analyzed.

Characteristics

Pyrolysis behavior

To simulate the preparation process of ACs, the TG-DTG curves of CTW and FeCl2-impregnated samples (CTW-Fe-AE and CTW-Fe-DI) are presented in Fig. 3, and the influence of different impregnation schemes on pyrolysis was further studied. In Fig. 3a, the thermal degradation of CTW could be divided into three sections. The first mass loss at about 98 °C was mainly caused by the evaporation of moisture. The second stage from 120 to 390 °C observed the major mass loss of 61.599% which might be due to the decomposition of relatively easily decomposable compounds in CTW such as hemicellulose, cellulose, protein, carbohydrate, and partial decomposition of lignin (Yang et al. 2019). The final stage (390–600 °C) of CTW was probably caused by the continuing carbonization of CTW.

Fig. 3
figure 3

TG and DTG curves of CTW (a), AC-Fe-DI (b), and AC-Fe-AE (c)

In Fig. 3b, CTW-Fe-DI presented different pyrolysis behavior compared with CTW. The initial DTG peak at about 115 °C and mass loss (4.279%) were both higher than that of CTW (98 °C, 1.775%), because of the evaporation of the crystallization water in FeCl2·4H2O. In the second stage (150–450 °C), CTW-Fe-DI displayed a mass loss (42.327%), and the strong DTG peak at around 285 °C was obviously lower than that of CTW (378 °C). With the activation of FeCl2, the volatile components in CTW rapidly underwent decomposition and subsequent polymerization, in which small molecular gases (CO2, CO, H2O) and aromatic substances were produced, thereby reducing the pyrolysis temperature and mass loss in this stage (Cagnon et al. 2009). In fact, these aromatic substances were further decomposed at higher temperatures (400–500 °C) due to the presence of benzene rings, which could also be seen from the DTG that the second stage of CTW-Fe-DI crossed a wider temperature range (150–450 °C) (Cagnon et al. 2009). The third stage (450–600 °C) mass loss (2.474%) of CTW-Fe-DI was lower than that of CTW (18.140%). The presence of iron species might catalyze the formation of iron oxides (Fe2O3, Fe3O4) under the pyrolysis condition, consume carbon matrix, and subsequently form a stable iron-carbon matrix structure; thus, this stage showed less mass loss (Rufford et al. 2010).

As seen in Fig. 3c, under impregnation scheme E, the pyrolysis of CTW-Fe-AE could be divided into three stages, while there were many differences with CTW-Fe-DI. The first mass loss (5.516%) was higher than that of CTW-Fe-DI, and the temperature corresponding to the peak also decreased (108 °C) because the aggregation effect of FeCl2 was weakened, and more crystallization water was released. It could be found that the second stage of degradation begun rapidly after the evaporation of moistures. It was indicated that FeCl2 and CTW were fully contacted in the dissolution of AE, which could rapidly catalyze the degradation of CTW (Cagnon et al. 2009). Moreover, the mass loss of this stage (48.164%) was higher than that of CTW-Fe-DI (42.327%), which was attributed to the dispersion effect of AE. In the pyrolysis process, the uniformly distributed FeCl2 promoted the dehydration and polymerization of CTW, which adequately decomposed volatile substances. Besides, more FeCl2 was involved in the evolution of iron species, resulting in the peak for temperature lasting to 308 °C (Ohmukai et al. 2008). The final mass loss of CTW-Fe-AE was 3.484%, higher than that of CTW-Fe-DI (2.474%), and the residual mass also decreased (42.836% vs. 50.720%). FeCl2 dissolved in AE improved CTW to obtain sufficient pyrolysis and carbonization, showing more mass loss in this stage, which indirectly revealed the advantages of solving the aggregation effect of FeCl2. Overall, it was confirmed the high efficiency of FeCl2 in impregnation scheme E.

Pore development

Figure 4 reveals the N2 adsorption/desorption isotherms of the ACs. The pore structure characteristics are presented in Table 4. It can be found that both ACs showed microporous structure by the type I isotherms of IUPAC classification, and AC-AE showed more abundant micropores, while AC-DI showed more obvious H4 hysteresis, revealing more mesopores (Islam et al. 2017b). It has been reported that FeCl2 particularly catalyzed the formation of small-molecule gaseous, which were beneficial to the formation of the pore structures of the carbon matrix (Yang et al. 2019). The dissolution of AE could promote the effect of FeCl2, which created a more microporous structure of AC-AE. The AC-AE contained a higher surface area (691.579 m2/g) and a micropore area (637.106 m2/g). Moreover, Table 4 shows that AC-DI had higher total pore volume (Vtot) and average pore diameter (Dp) than AC-AE and lower microporosity (Smic/SBET) because of the expansion of partial micropores in AC-DI into mesopores (An et al. 2018). It could be seen that the dissolution of AE effectively reduced the effect of pore expansion caused by FeCl2 accumulation. Hence, the microporous ACs could be prepared by impregnation scheme E, which might provide more adsorption sites.

Fig. 4
figure 4

N2 adsorption/desorption isotherms of ACs

Table 4 Surface area and pore volume of ACs

Morphology

Figure 5 provides the SEM micrographs of AC-AE and AC-DI. As shown in Fig. 5a, the AC-AE exhibited heterogeneous surface morphology with a porous structure, indicating the high activation efficiency of FeCl2. In Fig. 5b, the external surface of AC-DI was smooth and low porosity, although cracks on the surface were more prominent. In impregnation scheme E, FeCl2 could be uniformly distributed on the surface of the CTW, which improved its utilization rate and greatly reduced the conventional dosage of activating agent (An et al. 2018). However, for impregnation scheme D, equivalent FeCl2 was not enough, that was, CTW was not sufficiently impregnated with FeCl2, and there were smooth areas in AC-DI. Furthermore, a small amount of FeCl2 also accumulated due to uneven distribution, which caused overactivation on CTW, leading to obvious cracks in AC-DI (Wang and Wang 2019). The AC-AE showed better pore structure than AC-DI, which further proved that AE dissolution improved the activation efficiency of FeCl2.

Fig. 5
figure 5

The SEM of AC-AE (a) and AC-DI (b)

Crystalline phase composition

The XRD patterns of the ACs are presented in Fig. 6. As seen in AC-AE and AC-DI, the two broad peaks at 23.741° and 42.128°, features of the disordered graphite plane (002) and graphite plane (100), showed that the cellulose structure and organic matter in CTW were destroyed and transformed during pyrolysis (Yang et al. 2019). Compared with the AC-DI, the intensity of the 002 and 100 peaks of AC-AE gradually increased. The former peak was due to the amorphous structure of carbon structures in ACs, while such amorphism was conducive to the formation of microporous channels (Wang et al. 2014). The calculated interplanar distance of 002 was dAC-DI (0.311) < 0.335 < dAC-AE (0.440), which indicated that AC-AE showed a high degree of disorder. In impregnation scheme E, CTW was uniformly activated, which made the orientation of disordered structure more random in the carbonization process of forming a six-membered ring carbon network (Lee et al. 2014). The appearance of the later peak (100) was caused by graphite microcrystalline; the smaller microcrystalline was more obvious in AC-AE, which was considered to support the graphite pore walls (Gao et al. 2013). In the microcrystal dimensions’ parameters, LAC-AE (0.354) < LAC-DI (0.678), it showed that AC-AE showed better crystallization. It has been reported that the presence of metal compounds could reduce the barrier of the solid-state transition from amorphous carbon to graphene because the amorphous carbon was absorbed by the metal crystal, and the graphene layer nucleated and grown in its surface (Gai et al. 2017). AE improved the activation efficiency of FeCl2; thus, AC-AE observed more graphite carbon structure. Hence, impregnation scheme E could produce an AC with improved structural characteristics where the superior crystalline phase would be available to form a developed porous structure in ACs.

Fig. 6
figure 6

XRD patterns of AC-AE and AC-DI

Surface functional groups

The FTIR spectra of ACs are presented in Fig. 7. At 3431 cm−1, the O–H vibration strength of carboxyl, phenol, and absorbed water for the AC-AE was weakened, thereby illustrating that AE dissolving FeCl2 efficiently destroyed the glycosidic bond and hydrogen bond in CTW to form monosaccharide or disaccharide and enhanced the dehydration of saccharides, and more O–H was removed (Wang et al. 2017; Xu et al. 2019). The higher O–H in AC-DI was due to the low activation effect of FeCl2, which led to the ineffective decomposition and dehydration of CTW. The bands at approximately 2907 cm−1 correspond to the stretching vibration of –CH3 and –CH2, and the band at approximately 1620 cm−1 was attributed to aromatic C=C stretching vibrations (Yang et al. 2019). It should be noted that the stretching vibration of –CH3 and –CH2 in AC-AE was weaker than that in AC-DI, while the aromatic C=C was enhanced. This might be because AE provided FeCl2 to play a critical role in CTW. In detail, the CTW underwent condensation and rearrangement reaction, and most of the functional groups on the surface of the carbon matrix were damaged. Finally, the residual solid was mainly the aromatic ring structure linked with methyl and methylene groups (Zhang et al. 2018). In impregnation scheme E, FeCl2 promoted further polycondensation of the aforementioned aromatic ring structure, resulting in the disappearance of the bonding group and the formation of highly aromatic polymeric carbon (Yang et al. 2019). Additionally, the bonds at 1386 cm−1 were characteristic of O–H in phenolic hydroxyl, and its peak in AC-AE was weak because the phenolic hydroxyls could be dehydrated. Based on the analysis of intensity and species of surface functional groups on the ACs, it was inferred that the surface properties of ACs prepared by impregnation scheme E were superior.

Fig. 7
figure 7

FTIR spectra analysis of AC-AE and AC-DI

Adsorption studies

Effect of pH

Figure S1 describes the effect of the initial pH on the adsorption of Cr(VI). It could be found that the adsorption trends of both ACs were similar, and the adsorption capacity reduced with the increase of initial pH value. The pH value at 2–3, Cr(VI) anion mainly existed as HCr2O4 that was the main form involved in the surface reduction and adsorption and exhibited excellent adsorbability on AC surface (Monser and Adhoum 2009). Thus, the maximum adsorption capacity was reached in this pH range. With the pH value increased, the main form of Cr(VI) changed to CrO42−; it might have competitive adsorption with OH on the AC surface, making the adsorption of Cr(VI) unremarkable (Mohan et al. 2005). Notably, the adsorption capacity of AC-AE was higher than AC-DI at whole pH values (2–7), because the former exhibited higher pHpzc (AC-AE:5.6, AC-DI:1.9). As the initial pH exceeded pHpzc, the surface electropositivity gradually changed to electronegativity, which weakened the electrostatic effect of ACs on anions (Huang et al. 2009). Importantly, impregnation scheme E contributed to better preparation of the AC-AE with superior pore structure and surface characteristics. In fact, the abundant microporous structure and a small number of acid functional groups were beneficial for increasing the contact area between the ACs and the Cr(VI) and providing more adsorption sites (Acosta et al. 2016).

Adsorption kinetics

As seen in Fig. S2, the Cr(VI) was rapidly adsorbed within the initial 30 min and then tended to be gentle. This was because the concentration gradient of Cr(VI) on ACs was large at the initial stage of adsorption. As Cr(VI) occupied all adsorption sites, it began to diffuse radially to the inner channel with high mass transfer resistance, resulting in slow adsorption until finally reaching adsorption equilibrium (Theydan and Ahmed 2012). The pseudo-first-order and pseudo-second-order models were applied to determine the adsorption properties of ACs toward Cr(VI). The kinetic parameters are displayed in Table 5. According to the relative coefficient (R2), the pseudo-second-order model was more suitable for describing the adsorption kinetic process, suggesting that chemisorption occurred during the adsorption process (Miao et al. 2016). It could be found that the calculated values (qe) of AC-AE and AC-DI (21.485, 15.681 mg/g) estimated from the pseudo-second-order model displayed good agreement with the experimental values (21.401, 15.587 mg/g) of Cr(VI). Moreover, the calculated qe values of AC-AE were higher than that of AC-DI; these results suggested that AE dissolution improved the pore structure and surface properties of AC-AE and provided additional active sites for Cr(VI) adsorption (Gao et al. 2013). Additionally, the high values of adsorption rates (k2) were obtained for AC-AE, indicating faster adsorption kinetics for it. Based on that, it was confirmed that AC-AE prepared by AE dissolving FeCl2 possessed superior pore structure and surface characteristics and displayed better adsorption capacity for Cr(VI).

Table 5 Adsorption kinetics model parameters of ACs

Adsorption isotherms

In Fig. S3, the Langmuir and Freundlich models were used to explain the adsorption process in the adsorption isotherm study. The isotherm parameters are calculated and listed in Table 6. Based on the value of R2, the adsorption behavior of Cr(VI) onto ACs was fitted with the Langmuir model, revealing that the adsorption process was mainly controlled by the homogeneous monolayer adsorption (Islam et al. 2017a). From Table 6, the maximum adsorption amount of AC-AE (137.289 mg/g) for Cr(VI) was much higher than AC-DI (91.550 mg/g). This demonstrated that AC-AE with excellent surface properties were beneficial for removing Cr(VI). An important observation from the calculated values of RL was that the adsorption of Cr(VI) onto AC-AE was more favorable than that of AC-DI due to the homogeneous surface of the former. Moreover, as the RL was close to zero, the adsorption was almost irreversible (Feng et al. 2011). Overall, the AC-AE synthesized by impregnation scheme E, it composited with high specific surface areas and microporous structure exhibited high adsorption capacities for Cr(VI) removal.

Table 6 Adsorption isotherm model parameters of ACs

Table 7 provides a comparison of the maximum Cr(VI) adsorption capacities of different activated carbons reported in recent years. The maximum adsorption capacity for Cr(VI) of AC-AE was higher than other ACs derived from different precursors, suggesting that developing AC from CTW by FeCl2 impregnation activation after AE dissolution was a promising method for removing Cr(VI).

Table 7 Comparison of the maximum Cr(VI) adsorption capacities (qm) of different activated carbons

Magnetization and reusability

Magnetization

The recyclability was an important property of MAC, which could be greatly improved in the presence of magnetism (Siddiqui et al. 2018). As seen in Fig. 8, it was found that nonlinear and reversible behavior with a weak magnetic hysteresis loop was observed. MAC exhibited a higher value of saturation magnetization (Ms) of 17.727 emu/g, remanence (Mr) of 0.527 emu/g, and 90.204 Oe of coercivity (Hc) that enabled MAC an easy separability by means of a magnet. The Ms value of MAC was higher than that of magnetic carbon previously reported (Siddiqui et al. 2018). Because impregnation scheme E provided more FeCl2 to participate in the transformation and evolution of iron species and form more stable and homogeneous iron-carbon structures (Reguyal et al. 2017). Furthermore, the ratio of Mr/Ms was 0.03, indicating that MAC was superparamagnetic at room temperature and easy to magnetize and demagnetize (Ranjithkumar et al. 2014). Herein, MAC exhibited an excellent recovery and was easy to separate solid-liquid after adsorption, which demonstrated that FeCl2 could endow ACs with higher magnetism.

Fig. 8
figure 8

Magnetization curves of the MAC

Reusability

Reusability and stability are crucial for MAC used in pollutant adsorption. The prepared MAC was used for the adsorption/desorption experiments to evaluate its reusability. As illustrated in Fig. 9, MAC was stable and maintained normal adsorption efficiency in the first two rounds of the tests. In the 3rd run, the adsorption ability of MAC became insufficient, mainly due to MAC deactivation via the deposition of small molecular contaminants onto its surface and internal (Zhang et al. 2018). In run 3, the adsorption capacity could reach 59.574% of the initial adsorption capacity. Even after three times of recycling, MAC still maintained adsorption capacities of 13.524 mg/g for Cr(VI), which were still higher than that of some common absorbents (Celik et al. 2004). Therefore, MAC had a strong potential for adsorption applications, as it had facile magnetic separability and good recyclability.

Fig. 9
figure 9

Reusability of the MAC

Conclusion

In this work, ACs were prepared by one-step activation pyrolysis using CTW precursor and FeCl2 impregnation activation after AE dissolution, respectively. The optimal conditions were obtained by orthogonal experiment as the mass ratio of 0.5:1, the activation temperature of 600 °C, and the activation time of 1 h. The prepared ACs under the optimal condition were compared with the control group (deionized water instead of AE). The results indicated that the dissolution of AE could reduce the aggregation and dosage of FeCl2, and remarkably improved the activation efficiency, and the ACs exhibited superior physicochemical performances. Additionally, FeCl2 enhanced the decomposition of volatile substances in CTW to produce gaseous products and then formed developed micropores that could also be attributed to the improvement of the graphite crystalline phase by FeCl2, providing a carrier for pore diffusion path. The adsorption behavior toward Cr(VI) with the pseudo-second-order kinetic and the Langmuir isotherm indicated that the adsorption performance was favorable and efficient for the ACs. Furthermore, the iron oxides loaded on the carbon matrix with the evolution of the iron species were beneficial for improving the recyclability of magnetic ACs.