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SPECIAL ISSUE: ENVIRONMENTAL CHEMISTRY
7 (
1
); 43-52
doi:
10.1016/j.arabjc.2013.08.001

Copper removal from aqueous solution using biochar: Effect of chemical activation

Department of Environmental Geosciences, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha 6 Suchdol 165 21, Czech Republic

*Corresponding author. Tel.: +420 224 383 864 trakal@fzp.czu.cz (Lukáš Trakal)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Available online 22 August 2013

Abstract

The main aim of this study was to test the efficiency of biochar for Cu removal from synthetic and soil solutions, respectively.

The biochar was produced from brewers draff via pyrolysis. Additionally, the prepared biochar was also activated using 2 M KOH to enhance its sorption efficiency to remove Cu from both solutions. Two different aqueous solutions were prepared for these experiments: (i) a synthetic using Cu-nitrate salt with 0.01 M NaNO3 and (ii) soil solution obtained from a Cu-contaminated soil using 0.01 M CaCl2 leaching procedure. Batch sorption and column experiments were used to evaluate the efficiency of both biochar (BC) and activated biochar (BCact) to remove Cu from the solutions.

Results showed that both biochar samples are pure amorphous carbon and the Cu sorption is thus mainly a result of physical sorption on the biochar surface. Next, chemical activation, using 2 M KOH, significantly increased the total volume of all pores in biochar (from 0.01 ± 0.002 to 8.74 ± 0.18 mL g−1). On the other hand, the BET surface area was similar for both sorbents (BC = 9.80 ± 0.62 m2 g−1 and BCact = 11.6 ± 0.4 m2 g−1). Results also demonstrate enhanced sorption efficiency of the BCact (10.3 mg g−1) in comparison with the BC (8.77 mg g−1). Additionally, enhanced Cu removal during column retention test was observed for the BCact in both synthetic and soil solutions, respectively.

In summary, the results showed that biochar prepared from brewers draff was able to remove Cu from both aqueous solutions.

Keywords

Brewers draff
Pyrolysis
Chemical activation
Sorption
Column retention
1

1 Introduction

At higher concentrations, Cu is a potentially toxic metal in the environment, mainly as the soluble form Cu2+. This metal is usually used in a number of industrial processes (e.g., metallurgy or foundries of brasses) as well as in agriculture (e.g., fungicides). It eventually leaves the aqueous (soil) solutions at a higher concentration that should be stabilized before discharge to the environment. Generally, the most frequently applied methods for immobilization/stabilization of metals are the many kinds of chemical precipitations (Tesoriero and Pankow, 1996; Basta and McGowen, 2004) or sorption methods using hydrated oxides of Mn, Al, Fe (Trivedi and Axe, 2001; Boukhalfa et al., 2007), nanoparticles (Feng et al., 2010; Fang et al., 2011; Ahmad et al., 2012) or biomaterials such as biochar (Uchimyia et al., 2011; Regmi et al., 2012). Biochar as a biosorbent was chosen mainly due to the high affinity of Cu to organic matter (Bradl, 2004; Komárek et al., 2009).

Biochar (pyrolysed organic carbon) is produced as a charred material by thermal decomposition of biomass under conditions of minimal oxygen presence (Beesley and Marmiroli, 2011). Usually, some waste material is chosen for the pyrolysis process. In the Czech Republic, there is a long historical tradition focused on beer preparation hence many breweries are situated in this country. In more detail, on an area of 79,000 km2 there are over 120 breweries. Due to this fact, 380 thousand tons of brewers draff are produced as a waste product in the Czech Republic (Czech Beer and Malt Association). This agricultural waste is usually used as pig food; nevertheless, there is another occasional way of utilizing it, such as the previously mentioned biochar preparation.

Biochar has been extensively studied in the past few years for its ability to enhance the nutrient level of soils (Schulz and Glaser, 2012) as well as its positive effect on the plant growth (Sohi et al., 2010). Next, biochar applied to the soil should also influence its chemical properties such as changes in pH, electrical conductivity, cation exchange capacity (Amonette and Joseph, 2009) and also metal sorption efficiency; (Uchimyia et al., 2011; Beesley and Marmiroli, 2011; Gupta et al., 2013). This metal sorption efficiency should then be enhanced using different kinds of biochar modifications such as: (i) composting (Borchard et al., 2012), (ii) iron-impregnation (Inyang et al., 2013), (iii) oxidation (Uchimiya et al., 2012), or (iv) chemical activation using hydroxides (Regmi et al., 2012). Additionally, inspired by the study of Regmi et al. (2012), pyrolysed brewers draff was chemically activated (using 2 M KOH) to enhance its ability to remove Cu from aqueous solutions.

The main aim of this study is therefore to test biochar obtained from the pyrolysis of brewers draff for Cu removal from aqueous (synthetically prepared and soil) solutions. Additional objective included: (i) usability – yield of tested biochar during the pyrolysis process; (ii) biochar chemical activation, which should improve porous structure and consequently should enhance its efficiency of Cu removal. Furthermore, biochar and activated biochar will also be compared for their potentially different physical and chemical characteristics (e.g., point of zero charge, BET surface area and total pore volume, pores distribution, Fourier transform infra-red spectroscopy and scanning electron microscope).

2

2 Materials and methods

2.1

2.1 Solution preparation and characterization

Copper(II) was the adsorbate studied in all experiments. In this case, two different types of aqueous solutions containing this metal were used. First, synthetic solution was prepared by dissolving CuNO3·3H2O (p.a.), (Lach-Ner, CZE) into a previously prepared background electrolyte (0.01 M NaNO3). Second, soil solution was obtained from Cu-contaminated soil by 0.01 M CaCl2 leaching procedure overnight. This soil originated from the vicinity of Le Palais copper refinery (Limoges, France) and all characteristics of this soil solution are listed in Table 1. Additionally, such prepared synthetic and soil solutions were analysed for: (i) pH value; (ii) all metal concentrations using ICP-OES (Agilent Technologies 700 series, USA), (iii) dissolved organic carbon (DOC) using TOC-L CPH Analyser (Shimadzu, Japan), (iv) available nutrients using ion chromatograph ICS 90 (Dionex, USA) and flame atomic absorption spectrometer F-AAS (Varian 280FS, Australia), respectively.

Table 1 Initial soil solution description.
pH [-] DOC [mg L−1] Metal concentration [mg L−1]
Al As Cd Cr Cu Fe Mn Ni Pb Zn
4.37 ± 0.1 30.9 ± 1.8 5.39 ± 0.04 0.01 ± 0.001 0.15 ± 0.001 0.03 ± 0.002 1.15 ± 0.01 0.10 ± 0.002 3.88 ± 0.03 0.08 ± 0.001 0.08 ± 0.004 0.93 ± 0.01
(In)organic anions/cations [mg L−1]
aCa2+ K+ Mg2+ Na+ NH 4 + Br aCl F NO 3 SO 4 2 Malate Oxalate Tartrate
394 ± 1 10.5 ± 0.1 5.62 ± 0.05 1.59 ± 0.01 4.23 ± 0.02 0.98 ± 0.03 465 ± 1 0.21 ± 0.02 5.20 ± 0.03 1.90 ± 0.01 0.02 ± 0.001 3.29 ± 0.05 0.45 ± 0.02
0.01 M CaCl2-extracted solution from Cu-contaminated soil

2.2

2.2 Biochar preparation and characterization

Local brewers draff obtained from the brewery at the Czech University of Life Sciences Prague was used due to its low cost and large amounts produced (Šillerová et al., 2013), was air dried overnight and consequently pyrolysed at 650 °C under 100 mL min−1 nitrogen flow rate. Such high temperature was chosen for the biochar preparation in order to get the brewers draff fully carbonized with low volatile amounts and high fixed carbon values (Agirre et al., 2013). Additionally, the yield of final char was measured at the temperature rate of 5 °C min−1 using thermogravimeter Stanton Redcroft TG 750. The resulting biochar (BC) was then cooled overnight under the same nitrogen flow rate (as before). Such prepared pyrolysed product was ground, sieved to less than 0.25 mm, washed by ultra-clean water MilliQ Integral (Merck Millipore Corp., USA) and dried at 105 °C. Biochar activation was implemented according to Regmi et al. (2012), when 4 g of BC was mixed with 1000 mL of 2 M KOH solution and stirred for 1 h. This solution was then filtered using 0.45 μm nylon filters (Whatman Ltd, USA). In the next step, filtered biochar was mixed with ultraclean water and the pH value of both biochars was adjusted using 0.1 M NaOH/HCl. Next, the biochar (BCact) was again filtered and dried overnight at 105 °C.

Surface area, total pore volume and pore distribution were determined using the BET surface and pore analyser SA 3100 (Beckman Coulter, USA). The BET surface area was measured by nitrogen adsorption isotherms at 77 K, total pore volume was determined from adsorbed volume of nitrogen at pressure p = 1 atm and pore distribution was then calculated from the desorption isotherm. Elemental composition was measured in triplicate by CHNS-O Analyser Flash 1112 (Thermo, USA). Moreover, surface functional groups of brewers draff, BC and BCact were analysed using FTIR Nicolet 6700 analyser connected with a microscope Continuum (Thermo-Nicolet, USA). Point of zero charge (pHzpc) was determined for both biochars according to Fiol and Villaescusa (2009) using potentiometric mass titration (PMT) and the immersion technique (IT). Additionally, SEM analyses of both biochar samples were also implemented using a scanning electron microscope JEOL JSM-7401F Fesem (USA).

2.3

2.3 Batch experiments

First, kinetic experiments were implemented in order to establish equilibrium for the subsequently prepared sorption/desorption experiment. More precisely, synthetic Cu-solution at 0.1/0.25 mM was mixed with biochar samples at the ratio 1:500 (w/v). Suspensions prepared in this way were shaken (at 250 rpm), centrifuged, filtered (0.45 μm nylon filter) and the obtained supernatants were analysed at regular time steps (1, 2, 4, 8, 12, 24 and 48 h) in order to determine the Cu concentration. Next, 20 mL of synthetic solution (with Cu concentration steps of 0.02–2 mM) was added into 0.04 g of both prepared biochar samples (BC × BCact) respectively, to establish their sorption maxima. Following the previously implemented kinetic experiments, the suspensions of the solution with the biochar samples were shaken for 24 h in order to reach equilibrium. Additionally, desorption experiment was also carried out. Background electrolyte (0.01 M NaNO3) was used to obtain information about the desorbed volume of copper from the previously Cu-saturated biochar samples.

2.4

2.4 Column experiments

The retention column experiment used two identical glass columns (Bio-rad Laboratories, USA) of 13 cm length and 2 cm in internal diameter which were filled with 3 g of BC and BCact, respectively. Such prepared columns were gravitationally leached from the top for 24 h under a constant flow rate (5 mL min−1), which was maintained by a peristaltic pump EP-1 Econo Pump (Bio-rad Laboratories, USA). Two types of aqueous solutions were used for the retention test mentioned previously: (i) soil leachate; and (ii) synthetic Cu-solution, the concentration of which was adjusted to equal the Cu concentration in the soil leachate (approx. 0.02 mM). The pH value of the synthetic solution has also been adjusted to equal that of the soil leachate.

Both leachates were then automatically sampled over a 24 h period of time (at gradually increasing time steps) during the whole retention test, using the fraction collector FC 204 (Gilson, USA). Finally, obtained samples were analysed for Cu and DOC concentration in the leachate. Furthermore, other metals and all (in)organic anions/cations in the soil solution were also analysed.

2.5

2.5 Copper speciation model

The Minteq.v3.dat thermodynamic database (derived from the code MINTEQ+, version 3.0, released by the U.S. EPA in 1999) was used for all calculations. The initial soil solution (see Table 1; obtained by 0.01 M CaCl2) with all characteristics (DOC; all (in)organic anions and cations as well as metal concentrations) was used for the calculation. Additionally, Cu speciation was also calculated at the final time step of the column retention test for both the BC and BCact variants, respectively.

3

3 Results and discussion

3.1

3.1 Thermogravimetric analysis of brewers draff

The thermogravimetric mass loss (TG) and its derivative curve (DTG) are shown in Fig. 1. Initial mass loss (approx. 10% reduction) ranging from 25 to 150 °C was mainly due to moisture evaporation. Next, devolatilization and biochar thermal decomposition were responsible for other mass losses (approximately 80% reduction) from 300 °C up (Gil et al., 2012; Yi et al., 2013). In more detail, there were two obvious peak values for the DTG curve of −0.42 and 0.28% °C−1 at 295 and 580 °C, respectively. In summary, total mass loss was approximately 90%, which demonstrated a very low yield of biochar during pyrolysis at 650 °C of brewers draff. Due to this fact a different char preparation would be more suitable, such as hydrothermal carbonization (HTC), hence the term hydrochar (Regmi et al., 2012; Titirici et al., 2007; Xue et al., 2012).

Thermogravimetric mass loss (TG) and derivative thermogravimetric mass loss (DTG) curves of used brewers draff.
Figure 1
Thermogravimetric mass loss (TG) and derivative thermogravimetric mass loss (DTG) curves of used brewers draff.

3.2

3.2 Chemical activation by 2M KOH

According to Regmi et al. (2012) cold alkali solution (2 M KOH) was chosen for the chemical activation of prepared biochar to enhance its porosity and clean up blocked pores mainly by tar particles. Additionally, surface area of activated biochar was expected to increase which might have enhanced copper removal from both aqueous solutions. All characteristics of activated biochar compared with biochar are shown in Table 2; Figs. 2–4 and the results are discussed in the next subsection in more detail.

Table 2 Biochar (BC and BCact) characterization. Values are given as means ± standard deviation for triplicate measurements.
Sample pHzpc [−] BET surface [m2 g−1] Pore distribution [%] Total pore volume [mL g−1] Elemental composition [g kg−1]
<6 nm 6–20 nm 20–80 nm >80 nm N C H S
BC 6.80 ± 0.23 9.80 ± 0.62 n.d. 8.23 59.8 32.0 0.01 ± 0.002 47.7 ± 0.6 664 ± 0.4 24.9 ± 0.5 0.47 ± 0.03
BCact 7.20 ± 0.15 11.6 ± 0.4 18.7 18.1 38.8 24.5 8.74 ± 0.18 50.3 ± 0.2 691 ± 2 24.7 ± 0.4 0.68 ± 0.15

n.d. not detected.

SEM images of biochar (a) and chemically activated biochar (b). 1 μm.
Figure 2
SEM images of biochar (a) and chemically activated biochar (b). 1 μm.
Point of zero charge (pHzpc) using potentiometric mass titration (PMT) for biochar (BC) (a), activated biochar (BCact) (b) and immersion technique (IT) for biochar (BC) (c) and activated biochar (BCact) (d).
Figure 3
Point of zero charge (pHzpc) using potentiometric mass titration (PMT) for biochar (BC) (a), activated biochar (BCact) (b) and immersion technique (IT) for biochar (BC) (c) and activated biochar (BCact) (d).
FTIR spectrum of (i) brewers draff before pyrolysis; (ii) biochar (BC), and (iii) activated biochar (BCact).
Figure 4
FTIR spectrum of (i) brewers draff before pyrolysis; (ii) biochar (BC), and (iii) activated biochar (BCact).

3.3

3.3 Characterization of prepared biochar samples

3.3.1

3.3.1 Main physical characteristics, SEM images and elemental composition

These characterizations of BC and BCact are presented in Table 2. First, total pore volume showed significant increases (874-times higher) after 1 h of stirring in 2 M KOH, which could be due to the change in the pore distribution. In more detail, pores with the size of less than 6 nm were represented only in the case of BCact (18.7%), most likely as a result of the tar particles having been removed especially from these small pores by 2 M KOH which, in the end, caused a dramatic total pore volume increase. The neutralization reaction between 2 M KOH and the dust particles is here the specific mechanism, which affects the total pore volume. On the other hand, BET surface area showed quite identical values for both biochar samples, due to the subsequent precipitation of tar particles onto the surface of bigger-sized pores for the case of BCact.

Next, scanning electron microscope (SEM) images of both biochars with and without chemical activation are shown in Fig. 2 to exemplify the potential physical changes caused by the previously mentioned activation. The SEM images of both biochar samples (Fig. 2) show similar surfaces which corresponded with partly identical BET surfaces for both variants of used biochar. Nevertheless, the SEM image of the BCact (Fig. 2b) is represented on average by more intensive waving of the particle surfaces as a result of tar particles having been removed mainly from the small-sized pores. Additionally, as we had expected, the elemental composition was similar for both biochar samples.

3.3.2

3.3.2 Point of zero charge determination

The experimental curves corresponding to the PMT technique were obtained for both biochar samples and are presented in Fig. 3a and b. In the presented curves, the pHzpc is identified as the pH at which the blank and all titration curves of different biochar amounts converge (Fiol and Villaescusa, 2009). In more detail, the point of zero charge for BC samples was determined at pH = 6.80, nevertheless, pHzpc determination in the case of BCact was ambiguous due to quite different shapes of all titration curves (for each amount of biochar in suspension).

Therefore, another technique for determination of the pHzpc was implemented. The chosen immersion technique (IT; see Fig. 3c and d) confirmed the pHzpc for BC at pH = 6.80 and in case of BCact there was a minimum normalized ΔpH at pH = 7.20, which presented a realistic as well as expected pH value.

3.3.3

3.3.3 FTIR analysis

Fig. 4 shows the FTIR spectra for both biochar and chemically activated BC in the near IR region (wave number 4000–400 cm−1). The presented spectra of BC and BCact indicate the absence of functional oxygen groups responsible for chemisorption of metals such as Cu (Pellera et al., 2012; Regmi et al., 2012) in comparison with brewers draff before pyrolysis, where these groups are obvious (Fig. 4). These results of the functional group absence were caused by a high temperature of applied pyrolysis (650 °C), where the cleavage of these organic groups will contribute to a higher mass loss during thermal decomposition and gas (mainly the CO2) product evolution (Tsai et al., 2012). The results suggest that both biochar samples are pure amorphous carbon; hence the Cu sorption is only due to physical sorption on the biochar surface. Additionally, the fact that both biochar samples had similar peaks has confirmed no significant impact of 2 M KOH on the functional groups. This is in agreement with the study of Regmi et al. (2012).

3.4

3.4 Batch experiments

First, the effect of contact time on Cu sorption onto both biochar samples was investigated. Fig. 5 provides information about the reached plateau of Cu sorption (removal) from the synthetic solution on both biochar samples. The 24-h period was chosen for practical reasons as the equilibrium in this case. Furthermore, as stated by the paper of Chen et al. (2011) the equilibrium should be expected as early as 2 h (see also Fig. 5). Sorption efficiency (E) of both tested biochar samples at different time steps was calculated according to Eq. [1].

(1)
E = c c initial 100 where E [%] is sorption efficiency, cinitial [mg L−1] is initial concentration and c [mg L−1] is the final concentration of Cu in the solution. Additionally, using the paper by Limousin et al. (2007) the experimental kinetic data were fitted using pseudo-first-order [2] and pseudo-second-order [3] equations to describe the sorption mechanism over a period of time.
2
ln ( s eq s t ) = lns eq k 1 t
3
t s t = 1 k 2 s eq 2 + 1 s eq t
where seq [mg g−1] is the sorbed concentration at equilibrium time, st [mg g−1] is the sorbed concentration at different time steps t [min], k1 [min−1] and k2 [g mg−1 min−1] are first-order- rate and second-order-rate constants, respectively. The results of kinetic modelling suggest that pseudo-second-order-rate equation fitted all modelled data excellently (Table 3). Additionally, results of pseudo-first-order-rate equation are not presented here due to (R < 0).
Influence of contact time of used biochar (biochar BC and activated biochar BCact) with Cu synthetic solution at two different concentrations (0.10 and 0.25 mM).
Figure 5
Influence of contact time of used biochar (biochar BC and activated biochar BCact) with Cu synthetic solution at two different concentrations (0.10 and 0.25 mM).
Table 3 Pseudo second-order kinetic model parameters and model efficiencies (R) for both Biochars (BC and BCact) in two different Cu-concentrated solutions during sorption experiment. All data are only for the synthetic Cu solution.
Sorbent/solution Second-order kinetic modela R [%]
k2 [g mg−1 min−1] seq [mg g−1]
BC/0.1 mM Cu 0.249 2.168 1.000
BCact/0.1 mM Cu 0.530 2.232 1.000
BC/0.25 mM Cu 0.009 4.675 1.000
BCact/0.25 mM Cu 0.007 5.831 0.999
Parameters of used equation.

Next, following the kinetic results, sorption capacity of both biochar samples to remove Cu from synthetic solution was determined at equilibrium state (t = 24 h). The sorption efficiency of BC and BCact was evaluated using Freundlich [4] and Langmuir [5] equations.

4
S = K F C n
5
S = K L s max C 1 + K L C
where s [mg kg−1] is sorbed concentration, smax [mg kg−1] is the maximum sorbed concentration, KF [mg1−n ln kg−1] and KL [-] are the Freundlich and Langmuir sorption coefficients, respectively, c [mg l−1] is concentration in the solution and n [-] is an empirical coefficient. Moreover, non-linear fitting models were chosen for isotherm parameter evaluation in order to avoid limitations associated with the linearization of sorption isotherms. In more detail, Microsoft Excel spreadsheet was used for the evaluation of the fitting process (Bolster and Hornberger, 2007; Bolster, 2008). Obtained results suggest that in the case of synthetic solution both biochar samples (BC/BCact) were able to sorb copper (8.77/10.3 mg g−1 respectively, Fig. 6) mainly due to affinity of Cu to organic matter (Bradl, 2004; Uchimyia et al., 2010), which is partly in agreement with the study of Regmi et al. (2012), where the Cu maximum sorption was 4.0 mg g−1 before and 31 mg g−1 after activation. Moreover, only physical sorption on the biochar surface was obvious as a result of the functional group absence (discussed previously in subsection 3.3.3). In comparison with biochar, its activation using 2 M KOH enhanced the Cu sorption capacity of BCact especially due to tar particles removed from micro-pores (<6 nm) which finally increased the total pore volume (see Table 2). A significant increase in the sorption capacity for BCact is also evident from the parameters of Freundlich and Langmuir isotherms (Table 4). Additionally, the Langmuir equation fitted the sorption data well (R > 0.95), better than Freundlich (R < 0.90), which confirmed the well-known fact about the better Langmuir isotherm fitting in the case of higher organic matter presence (Brown et al., 2000; Borchard et al., 2012; Xu et al., 2013).
Sorption isotherms (a) and pH changes (b) during Cu sorption from synthetic solution for biochar (BC) and activated biochar (BCact).
Figure 6
Sorption isotherms (a) and pH changes (b) during Cu sorption from synthetic solution for biochar (BC) and activated biochar (BCact).
Table 4 Freundlich and Langmuir parameters (KF, KL, n and smax) and model efficiencies (R) obtained for both Biochars (BC and BCact) during Cu sorption experiment. All data are only for the synthetic Cu solution.
Freundlichb R [%] Langmuirb R [%]
KF [mg1-n Ln kg−1] n [-] KL [L mg−1] smax [mg kg−1]
BC 2309 0.315 0.829 0.271 8773 0.980
BCact 3867 0.259 0.858 0.893 10257 0.967
Parameters of both used equations.

Furthermore, decreases in the solution pH at a higher Cu concentration during the sorption experiment can be attributed to the hydrolysis effect (Ponizovsky et al., 2007; Mouta et al., 2008). The pH of both experimental solutions changed significantly due to the pH-buffering effect of both biochar samples (pH = 7.00).

3.5

3.5 Column experiments

In the final experimental step, Cu removal from aqueous solution was also measured over a period of time using the column retention test. As we had expected, the column studies showed that the Cu removal was more effective in the synthetic solution (Fig. 7a) solely due to Cu sorption over the period of time. In comparison with the synthetic solution, the effect of Cu removal from the soil solution was significantly reduced. For the synthetic solution, both BC and BCact were fully saturated by Cu (when the ratio c/ci ≈ 1) from t = 2160 min (Fig. 7a), whereas in the soil solution both biochars were fully saturated from t = 960 min.

Breakthrough curves of copper retention for synthetic (a) and soil (b) solution over the period of time.
Figure 7
Breakthrough curves of copper retention for synthetic (a) and soil (b) solution over the period of time.

Breakthrough curves with an early increase in the c/ci ratio were observed for the biochar which had not been previously treated by 2 M KOH, for both synthetic and soil solutions, respectively, which is in agreement with the previously mentioned fact about better sorption of BCact. In more detail, the activated biochar breakthrough curve point (BTCP; the final time step for the maximum sorption efficiency of biochar, when the ratio c/ci ≈ 0) was obvious at t = 780 min for the synthetic solution and at t = 80 min for the soil solution, respectively. On the other hand, BC started to saturate sooner hence BTCP was already at t = 50 and 10 min for the synthetic and soil solutions, respectively. Such dramatic differences of BTCP between BC and BCact are most likely caused by free micro-pores (<6 nm) in the BCact. More precisely, these pores, which are created predominantly during high temperature pyrolysis (Tsai et al., 2012), were formed only in the case of BCact due to the leaching out of the tar particles from these places using cold alkali solution stirring (discussed in subsections 3.2 and 3.3.1). Due to this fact, we assume that Cu was trapped inside these free micro-pores thus replacing the previously removed tar particles. Additionally, concentration of the dissolved organic carbon (DOC) was also measured over the period of time for both synthetic and soil solutions, respectively. All results show that DOC was unchanged over the period of time for both variants as well as for both solutions (data not shown).

Additionally, copper speciation of the initial soil solution was compared with the Cu-species in the soil solution, which was leached through both biochar samples (at the final time step). Table 5 shows Cu2+ species decreasing in the soil solution which was in contact with both BC and BCact, respectively. On the other hand, Cu-species fixed on the organic matter significantly increased in this final soil solution. These Cu species in the final soil solution were thus changed mainly due to a slight continuous pH increase. Furthermore, minimum changes in Cu species have been registered for the BCact in comparison with the BC.

Table 5 Initial (a) and final (b) Cu speciation for the soil solution after column retention experiment.
Initial Final
BC BCact
pH [-] 4.37 4.65 4.76
Species: [%] Cu2+ 54.5 49.7 48.3
Cu-OMa 44.3 49.2 50.6
Cu-LMWOAb 0.37 0.31 0.32
Cu-othersc 0.93 0.89 0.88
Total Cu content [mg L−1] 1.15 1.06 1.07
Cu species fixed on the organic matter.
Cu species fixed on the low molecular weight organic acids (mainly oxalic for this case).
Species such as CuOH+; CuCl+; CuSO4(aq), and CuNO3(aq).

Finally, desorption of Cu at the end of the column retention test was also implemented in the synthetic solution. More precisely, the Cu-fully saturated biochar samples (BC and BCact) were shaken overnight using 0.01M NaNO3. Obtained results showed minimum desorption of Cu from both biochar samples (0.48 ± 0.03 and 0.51 ± 0.05 mg L−1). We can assume from these results that Cu is strongly bounded to the biochar surface. This is in agreement with other authors, i.e., Uchimyia et al. (2010), (2011), Trakal et al. (2011), Regmi et al. (2012).

4

4 Comparison with other studies

The data presented in Table 6 compare the maximum sorption capacity (smax) of the different types of biochars used for the removal of Cu2+ from the aqueous solution. This value (presented in mg g−1) is comparable with other chosen studies. The biochar prepared from the brewers draff is similarly efficient for removing Cu from aqueous solutions as compared to other waste materials (Table 6). The chemical activation using 2 M KOH improved only slightly its sorption efficiency, i.e., it is not cost efficient. Finally, the total mass loss during the pyrolysis of brewers draff at 650 °C was approximately 90%, which demonstrates its very low yield. Therefore, a different char preparation such as hydrothermal carbonization (HTC) could be more suitable (Regmi et al., 2012).

Table 6 Comparison of maximal sorption capacity (smax) of different biochars utilized for the Cu2+ removal.
Material Biochar preparationa Cu-smax (mg g−1) References
Peanut straw P-400 89.0 Tong et al. (2011)
Soybean straw P-400 52.8 Tong et al. (2011)
Peanut straw P-400 38.4 Tong and Xu (2013)
Peanut straw P-500 38.4 Tong and Xu (2013)
Canola straw P-400 37.5 Tong et al. (2011)
Switch grass H-300 + KOHact 31.0 Regmi et al. (2012)
Soybean straw P-400 30.9 Tong and Xu (2013)
Peanut straw P-300 29.7 Tong and Xu (2013)
Hard wood P-500 + N2act 25.4 Han et al. (2013)
Canola straw P-400 24.0 Tong and Xu (2013)
Rice straw P-400 15.5 Tong and Xu (2013)
Corn straw P-600 12.5 Chen et al. (2011)
Commercial activated carbonb 11.4 Tong et al. (2011)
Brewers draff P-650 + KOHact 10.3 This study
Brewers draff P-650 8.77 This study
Compost P-300 7.94 Pellera et al. (2012)
Compost H-300 7.72 Pellera et al. (2012)
Hard wood P-700 7.44 Han et al. (2013)
Switch grass P-500 + N2act 7.12 Han et al. (2013)
Hard wood P-450 6.79 Chen et al. (2011)
Soft wood P-500 + N2act 6.36 Han et al. (2013)
Switch grass P-700 6.23 Han et al. (2013)
Orange waste H-300 5.81 Pellera et al. (2012)
Hard wood P-500 5.53 Han et al. (2013)
Olive pomace P-300 5.12 Pellera et al. (2012)
Orange waste P-300 4.92 Pellera et al. (2012)
Switch grass P-500 4.58 Han et al. (2013)
Rice husks P-300 4.57 Pellera et al. (2012)
Soft wood P-700 4.39 Han et al. (2013)
Switch grass H-300 4.00 Regmi et al. (2012)
Hard wood P-500 3.94 Han et al. (2013)
Rice husks H-300 3.49 Pellera et al. (2012)
Compost P-600 3.38 Pellera et al. (2012)
Soft wood P-500 3.37 Han et al. (2013)
Commercial powdered activated carbonb 1.80 Regmi et al. (2012)
Soft wood P-500 1.59 Han et al. (2013)
Switch grass P-500 1.46 Han et al. (2013)
Olive pomace H-300 1.43 Pellera et al. (2012)
Commercial activated carbonb 1.32 Tong and Xu (2013)
Composted commercial gasification cokeb 0.98 Borchard et al. (2012)
Olive pomace P-600 0.66 Pellera et al. (2012)
Commercial gasification cokeb 0.63 Borchard et al. (2012)
Orange waste P-600 0.42 Pellera et al. (2012)
Rice husks P-600 0.27 Pellera et al. (2012)
Composted commercial charcoalb 0.21 Borchard et al. (2012)
Commercial flash-pyrolysis charb 0.16 Borchard et al. (2012)
Commercial charcoalb 0.06 Borchard et al. (2012)
P-X00/H-X00 means pyrolysis and hydrothermal carbonization process respectively at the specific temperature (X00 °C), KOHact and N2act means the activation of the biochar.
Material was not mentioned.

5

5 Conclusions

The major conclusion of this study is that both prepared biochars (BC and BCact) were able to remove Cu from synthetic and soil solutions, respectively. Both biochar samples are pure amorphous carbon hence the Cu sorption is mainly due to physical sorption on the biochar surface. Although the Cu removal efficiency did not surpass the best results from other studies, it was at least comparable. Furthermore, chemical activation using 2 M KOH significantly: (i) increased total pore volume; (ii) partly improved Cu sorption behaviour; and (iii) enhanced the Cu removal from aqueous solution during the retention test over a period of time.

Acknowledgements

The work was financed by the Czech Ministry of Education, Youth and Sports (COST CZ LD13068) and the Czech Science Foundation (GAČR P503/11/0840). The authors acknowledge namely prof. Petr Burian and Dr. Miroslava Novotná both from the Institute of Chemical Technology Prague for the Biochar preparation and assistance with the characteristics and elemental analyses of the studied Biochars, prof. Ivo Šafařík from the Institute of Nanobiology and Structural Biology of GCRC, Academy of Sciences of the Czech Republic for SEM images of the studied Biochar samples and Dr. Václav Tejnecký as well as Dr. Ondřej Drábek both from the Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague for IC analyses of the soil solution. Additionally, the authors also acknowledge Mr. Alan M. Westcott for English corrections of the manuscript.

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