1 Introduction

Heavy metals are one of the most dangerous environmental pollution. They are a menace for both the people and the whole ecosystem due to their toxicity and mutagenic, immunogenic, carcinogenic, teratogenic action. Metals accumulate very easily in living organisms that is why their harmful effect may appear even at very low concentrations. Main anthropogenic sources of metals are: power plants, extractive industry and metal ores processing, metallurgical industry, chemical, electronic, nuclear industry, agriculture and waste disposal. Heavy metals water pollution presents a significant environmental problem requiring immediate intervention.

Currently, in modern technologies new materials for production are intensively searched for and attempts are made to eliminate chemicals harmful to the environment. Special emphasis is put on reusing raw materials, replacing undegradable substances by degradable ones, using biological methods in industry and decreasing waste water generation in production processes. Application of known and tested methods for the removal of metal ions from water on industrial scale is often unreal from an economic point of view. It is especially seen during necessity of purifying large water reservoirs containing most often very diluted elements. Conventional methods of removal of heavy metals from solutions, such as ion exchange, chemical oxidation/reduction, filtration, electrochemical methods, precipitation and membrane technologies may often be ineffective or uneconomic, especially in the case of low metal concentration in solution (within the range of 1–100 mg L−1).

In this context, there is the necessity of developing new separation methods which would be simultaneously effective and selective. One of the methods used for metal ions removal is adsorption on various sorbents, for example, on active carbon (Šváb et al. 2011). But its main disadvantage is the high cost of sorbents. That is why searches for still new, more effective methods, cheaper materials for sorbents production, i.e., of biological origin (Witek-Krowiak and Reddy 2013), commonly occurring or from industrial wastes, are undertaken. Many various waste materials are tested, such as: fragmented coconut shells (Amuda et al. 2007), fruit rinds (Schiewer and Patil 2008), lignocellulosic materials (Reddy et al. 2012) or animal waste (An et al. 2001). Extremely low prices of those sorbents and possibility of their regeneration make the biosorption process economically profitable and highly competitive to other methods of metals removal from water.

Many materials of plant origin, waste in building industry (mainly sawmill waste) are problems because they must be disposed. There were propositions to use them for adsorption of various contaminants, both organic [dyes (Ofomaja and Ho 2008), herbicides (Nanseu-Njiki et al. 2010), phenols (Ofomaja and Unuabonah 2011; Ofomaja 2011), humic acids (Kamari et al. 2009)] and inorganic, i.e. heavy metal ions (Hansen et al. 2010; Ofomaja 2010; Rahman and Islam 2009; Andrabi 2011). If it was possible to use sawdust as adsorbent of contaminants from industrial waste water, it would solve simultaneously two problems, both waste disposal and purifying waste water of heavy metals to desired limits. So far literature studies focused mainly on application of oak (Rahman and Islam 2009) and maple sawdust (Sciban et al. 2006a) for removal of various heavy metals (mainly Cu2+, Pb2+, Zn2+) from water solutions. There are not many reports (Hansen et al. 2010) on removing heavy metal ions (especially Cu2+, Cr3+) through beech sawdust and the influence of process parameters upon biosorption.

The aim of this work was application of waste materials of plant origin (beech sawdust) without initial preparation (no chemical modifications) for sorption of heavy metals (Cu2+, Cr3+) from water solutions. This work focuses on (1) determination of balance and kinetic parameters of biosorption process, (2) determination of process conditions impact upon biosorption, especially concerning those conditions, which are very important in working with real waste water and simultaneously which have rarely been examined so far in available literature concerning biosorption (i.e., influence of salinity, influence of adding surface-active agents), (3) testing of the efficiency of heavy metals desorption and reuse of sorbent.

2 Materials and methods

2.1 Sorbent characteristic

Beech sawdust was collected from a local sawmill and used without prior modification. Samples of beech sawdust were sieved to different mesh sizes. Fractions between 200 and 270 mesh (0.053–0.075 m) were used in the experiments.

pHzpc (point of zero charge) was determined using a method available in literature (Wan Ngah and Hanafiah 2008). pHzpc of sawdust was 4.32. For pH higher than pHzpc sorbent surface has negative charge, for lower pH than pHzpc the charge is positive. It was decided to carry out experiments with pH 5.0.

2.2 Preparation of aqueous metal ions solutions

Solutions of Cu2+ and Cr3+ ions were prepared by dissolving predefined amounts of CuSO4 and Cr(NO3)3 in distilled water to achieve concentrations of 1,000 mg L−1 in each flask. Different initial concentrations of metal ions were prepared by diluting the stock solution. The pH of the solutions was adjusted using 0.1 N HCl and 0.1 N NaOH to achieve the desired values.

2.3 Effect of contact time

Kinetic studies were carried out in order to determine the contact time required for the biosorbent to reach the equilibrium with the adsorbed metal ions. 200 mL samples of 20–200 mg L−1 metal ion solutions at specified concentration were prepared and mixed with specified amounts of the sorbent (1.0 g). The experiments were carried out at pH 5.0. Sorption processes were carried out in flasks placed in a thermostatic water-bath shaker at fixed temperature until equilibrium was reached. 3 mL samples were collected at specified intervals for the analysis of metal concentrations. Concentrations of metal ions in samples were determined by atomic absorption spectroscopy (AAS). The amounts of metal ions sorbed on the biosorbent phase (q t , mg g−1) were calculated from the following expression (Eq. 1):

$$ q_{t} = \frac{{\left( {C_{0} - C_{t} } \right) \cdot V}}{m} $$
(1)

where C 0 and C t are the initial metal ion concentration and concentration at defined time (mg L−1), V is the solution volume (L) and m is the mass of the biosorbent (g).

2.4 Equilibrium experiments

Sorption equilibrium experiments were carried out in a batch mode. 100 mL of metal sample solutions at predetermined concentrations (10–500 mg L−1) were transferred to 250 mL Erlenmeyer flasks placed in a thermostatic water-bath shaker at fixed temperature. The sorbent (0.2 g) was added to the solutions. The experiments were carried out at pH 5.0. After 2 h, the solutions were centrifuged and the metal ions concentrations in the supernatant were determined.

2.5 Effect of process parameters

The effect of the initial metal ions concentration (20–200 mg L−1) was tested with a fixed amount of the sorbent (5 g L−1). The effect of the adsorbent dosage was studied for the initial metal ions concentrations of 20 mg L−1 with various sorbent dosages (0.5; 1.0; 2.5; 5.0; 10.0; and 20.0 g L−1). The effect of temperature was studied at temperature range 20–50 °C. The effect of salts addition (NaCl, MgCl2, obtained from POCh, Poland) on the amount of adsorbed metal ions was analyzed over the salt concentration 0–5 % (w/w). Effect of surfactants presence in the solution was studied with various initial anionic (sodium dodecyl benzene sulphonate, SDBS, obtained from Sigma-Aldrich) and cationic (cetyltrimethylammonium bromide, CTAB, obtained from Sigma-Aldrich) surfactant concentrations (in the range of 0–3 CMC). The critical micelle concentration value (CMC) was 2 and 0.8 mM for SDBS and CTAB, respectively.

2.6 Desorption

In order to consider the practical usefulness of the biosorbent, desorption experiments were performed. After the biosorption test, 0.2 g of metal-loaded sorbent was stirred in 100 mL of the following solutions: distilled water, 0.1 M HCl, 0.1 M HNO3, 0.1 M EDTA. After 60 min of agitation, the metal concentration in the solution was determined. For the best eluent, the biosorption and desorption steps were repeated four times.

All of the experiments were carried out in duplicate and the average values were used in the calculations. The maximum deviation was found to be ±2 %. All model parameters were evaluated by non-linear regression using OriginPro8 software. In this study, commonly used error functions, i.e., the correlation coefficient (R 2) and the Chi square (χ 2), were examined for each set of experimental data.

3 Results and discussion

3.1 Biosorption kinetics

Biosorption kinetics describes change of metal ions concentration during the process until equilibrium was attained. Initial concentrations of metal ions during the experiment were 20–200 mg L−1, biosorbent concentration was constant and its value was 5 g L−1. Experiment was carried out at room temperature and pH 5. In the course of time, the concentration of metal ions in the solution decreased, because more and more active places on the biosorbent surface were filled. State of equilibrium established very quickly after ca. 20 min both for Cu2+ ions (Fig. 1a) and Cr3+ ions (Fig. 1b). Biosorption kinetics is of two-stage nature. At the beginning, biosorption proceeds very fast, which is connected to the great accessibility of the non-filled active places. Second stage of concentration change leads to establishing the state of equilibrium, it is slower and concentrations change insignificantly.

Fig. 1 Abb. 1
figure 1

Biosorption of heavy metals on beech sawdust (biosorbent concentration—5 g L−1, initial heavy metal concentration 20–200 mg L−1, temperature 20 °C, pH 5) a Cu2+, b Cr3+

Biosorption von Schwermetallen an Buchensägemehl (Biosorbentkonzentration—5 g L−1, ursprüngliche Schwermetallkonzentration 20–200 mg L−1, Temperatur 20 °C, pH 5) a Cu2+, b Cr3+

Biosorption kinetics are described with two models: pseudo-first-order (Lagergren and Sven 1898) and pseudo-second-order (Ho 2006) (Table 1). Interpreting data contained in Table 1, it may be stated that the pseudo-second-order model which best describes the biosorption process for both metal ions. R 2 values for concentrations of 20–200 mg L−1 were >0.994. The pseudo-first-order model also describes well experimental points, but correlation coefficients are somewhat lower (>0.986) and χ 2 values are higher than for the pseudo-second-order model. Increase in heavy metal ions initial concentration results in significant increase in the sorption capacity. For Cu2+ ions, the value changes from 4.006 to 22.55 mg g−1, for Cr3+ ions—from 3.965 to 30.38 mg g−1. Increase in metal ions initial concentration is equal to increase of driving force of the entire process (difference of concentrations in solution and at sorbent surface), which significantly increases the process efficiency. Kinetic parameters are reduced with increasing sorbate concentration from 20 to 200 mg L−1 (from 2.738 to 0.024 g mg−1 min−1, for Cr3+ ions—from 0.508 to 0.014 g mg−1 min−1), probably as a result of limited diffusion at the sorbent surface and in its pores.

Table 1 Tab. 1 Parameters of kinetic models for biosorption of heavy metal ions on beech sawdustParameter der kinetischen Modelle für die Biosorption von Schwermetall-Ionen an Buchensägemehl

3.2 Biosorption equilibrium

Initial concentrations of heavy metal ions were within the range of 10-500 mg L−1. Biosorbent concentration was 2 g L−1. Experiment was carried out at room temperature and pH 5. Obtained results are shown in Table 2. For the determination of equilibrium isotherms Langmuir, Freundlich, Temkin, Redlich-Peterson and Sips (Witek–Krowiak et al. 2011) models were applied.

Table 2 Tab. 2 Constant values of selected isotherm models for heavy metal ions biosorption on beech sawdustParameter ausgewählter Isothermen-Modelle für die Biosorption von Schwermetall-Ionen an Buchensägemehl

Langmuir–Freundlich (Sips) model was best fitted to the experimental points with high correlation coefficients (>0.997) and low χ 2 values (0.76 and 0.580). Also the model of Langmuir and Redlich-Peterson describes very well the results of the experiment. High correlation coefficients (over 0.994) and low values of the parameter χ 2 (<0.900) were obtained, which confirms the good convergence of models with the points. Temkin and Freundlich models do not reflect well the equilibrium biosorption of heavy metals on the studied sorbent. Obtained R 2 values were low (<0.990), moreover, values of the function χ 2 were very high which confirms the poor fit of these models to the experimental points. This graph is also a confirmation of better matching of Langmuir, Redlich-Peterson and Spis functions to the research results.

Sorption capacities of wooden sawdust available in literature (Table 3) were compared in regard to Cu2+ ions. For Cr3+ ions only one literature item about biosorption on sawdust was found, that is why values for other waste sorbents were compared. Values obtained as results of the experiments shown in this publication are relatively high compared to other sorbents. It is worth to emphasize that sorbent used in this work has not been modified chemically and may successfully compete with other sorptive materials (Blázquez et al. 2011; Lugo–Lugo et al. 2012).

Table 3 Tab. 3 Comparison of maximum sorption capacities of various biosorbents for Cu2+ and Cr3+ ionsVergleich der maximalen Sorptionskapazitäten verschiedener Biosorbenten für Cu2+- und Cr3+-Ionen

3.3 Sorbent concentration impact

The quantity of used biosorbent is an important parameter influencing sorption process, because it is responsible for the amount of groups on the surface that are able to bind heavy metals under given process conditions. Figure 2 shows the sorption capacity profile versus biosorbent concentration within a range of 0.5–20 g L−1. A significant increase in sorption capacity together with an increase in sorbent concentration was observed, this relation is connected to the occurring larger number of groups able to bind heavy metals and thereby to increase efficiency of solutions purification. Maximum saturation is observed for sorbent concentration of 5 g L−1, increasing the amount of sorbent does not result in an increase in process efficiency such significant, when sorbent is able do adsorb most of ions from the solution Fig. 3.

Fig. 2 Abb. 2
figure 2

Biosorption equilibrium with fitted models

Biosorptionsgleichgewicht und angepasste Modelle

Fig. 3 Abb. 3
figure 3

Impact of biosorbent concentration on efficiency of Cu2+ and Cr3+ ions biosorption process

Einfluss der Biosorbentkonzentration auf die Effizienz des Biosorptionsprozesses von Cu2+- und Cr3+-Ionen

3.4 Influence of temperature and process thermodynamics

Temperature is one of the most important parameters influencing biosorption process. Figure 4 and Table 4 describe the influence of temperature upon biosorption equilibrium within the temperature range 20–50 °C. In case of both heavy metals an increase of sorption capacity (from 30.22 to 36.04 mg g−1 for Cu2+ ions and from 41.86 to 50.04 mg g−1 for Cr3+ ions) and coefficient b L of Langmuir equation (from 0.087 to 0.221 L mg−1 for Cu2+ ions and from 0.340 to 0.835 L mg−1 for Cr3+ ions) is observed. That may be caused by higher mobility of heavy metal ions at higher temperatures, which is connected to their larger kinetic energy.

Fig. 4 Abb. 4
figure 4

Influence of temperature on biosorption equilibrium a Cu2+, b Cr3+ on beech sawdust

Einfluss der Temperatur auf das Biosorptionsgleichgewicht a Cu2+, b Cr3+ an Buchensägemehl

Table 4 Tab. 4 Influence of temperature upon biosorption equilibrium—parameters of Langmuir isothermsEinfluss der Temperatur auf das Biosorptionsgleichgewicht—Parameter der Langmuir-Isothermen

Adsorption mechanism may be examined by calculation of thermodynamic parameters such as change of Gibbs free energy, (Δ), enthalpy (ΔH°) and entropy (ΔS°), calculated on the base of the relationship presented—Eq. (2):

$$ \Updelta G^{0} = - RT\ln K_{0} $$
(2)

where, R is the universal gas constant (8.314 J mol−1 K−1), T is temperature (K) and K 0 (L mol−1) is the equilibrium coefficient. Values of enthalpy and entropy may be calculated from the relationship by drawing the graph of dependence of natural logarithm of K 0 on 1/T.

Calculated thermodynamic parameters are shown in Table 5. Negative values of free energy suggest that the process is feasible and spontaneous. Increase of negative value of ΔG° together with temperature increase suggests that the process is more spontaneous at higher temperatures. Positive value of ΔH° (23.98 and 22.15 kJ mol−1 for copper and chromium ions) indicates endothermic nature of adsorption process within the range of investigated temperatures (20–50 °C). ΔH° values obtained in the experiment indicate the mechanism of chemical sorption of investigated heavy metal ions on beech sawdust. Value of enthalpy within the range 2.1–20.9 kJ mol−1 indicates physical sorption, values over 20.9 kJ mol−1 indicates chemisorption (Ahmet and Mustafa 2008). Positive value of ΔS° entropy in both cases indicates increase in degree of freedom on the sorbent surface during adsorption of heavy metal ions.

Table 5 Tab. 5 Thermodynamic parameters Thermodynamische Parameter

3.5 Influence of salt presence

Effect of Na(I) and Mg(II) on the removal of Cu2+ and Cr3+ from aqueous solution by beech sawdust was studied using the inorganic salts NaCl, MgCl2 and the results are presented in Fig. 5. It was noticed that the presence of salts in the solution insignificantly decreases sorption ability of beech sawdust, especially in high concentrations of salts (above 3 %). Na+ and Mg2+ cations compete in the solution with heavy metal ions for binding places on sorbent surface. The presence of Na(I) and Mg(II) ions caused a decrease in sawdust biosorption efficiency, which was 5.6 % (Na+) and 3.5 % (Mg2+) in case of Cu(II) and 6.7 % (Na+) and 3.4 % (Mg2+) for Cr(III). Within concentrations range of 3–5 %, efficiency decrease is for Cu2+ ions, correspondingly, 7.1 and 7.3 % in the presence of NaCl and MgCl2, for Cr3+ ions the decrease was 12.7 and 8.7 %. It was observed that the presence of Na(I) caused a higher decrease in sorption capacity compared to Mg(II). This could be hypothesized as, the smaller ionic size monovalent sodium cations will easily adsorb onto the biomass surface compared with divalent magnesium ions. Despite a decrease in efficiency of biosorption in the presence of the salts, the sorbent potential is still high and it may still efficiently remove heavy metals from water solutions.

Fig. 5 Abb. 5
figure 5

Influence of the presence of inorganic salts (NaCl and MgCl2) in solution on efficiency of Cu2+ and Cr3+ biosorption on beech sawdust

Einfluss anorganischer Salze (NaCl und MgCl2) in der Lösung auf die Effizienz der Biosorption von Cu2+- und Cr3+ an Buchensägemehl

3.6 Influence of surface-active agents

Waste water containing heavy metals often also contain various organic compounds, especially surface-active compounds. At that stage of research the influence of the presence of anionic (example of SDBS) and cationic (example of CTAB) surfactants upon the process of Cu2+ and Cr3+ ions biosorption on beech sawdust was tested (Fig. 6).

Fig. 6 Abb. 6
figure 6

Influence of presence of surface-active compounds (SDBS and CTAB) in solution upon efficiency of Cu2+ and Cr3+ biosorption on beech sawdust

Einfluss oberflächenaktiver Verbindungen (SDBS und CTAB) in der Lösung auf die Effizienz der Biosorption von Cu2+- und Cr3+ an Buchensägemehl

SDBS particles may adsorb on hydrophobic sorbent surface, constituting additional places of cation binding. At below 1CMC (2 mM) SDBS concentration, the presence of surfactant in solution slightly improved the biosorption efficiency of sawdust. This is due to the molecules of SDBS may influence the biosorbent and produce additional binding sites for heavy metal ions. Values above critical micellar concentration (1 CMC) creation of micellar structures in solutions occur that have the ability of adsorbing metal ions on their surfaces and thereby disable its sorption on sorbent surface (Aksu et al. 2010; Witek-Krowiak et al. 2010). This results in a higher decrease in biosorption efficiency, up to 5.1 and 11.8 % and in cases of Cu2+ and Cr3+ ions. The presence of cationic surfactant (CTAB) in solution caused higher decrease of biosorption efficiency (12.3 and 33.8 % of Cu2+ and Cr3+ ions). Cationic surfactant molecules adsorbed on sorbent surface could repel positively charged heavy metal ions which caused decrease of efficiency of removing them from the solution. However, concentrations of surface-active compounds in waste water are not that high and application of biosorption for purifying waste water of heavy metal ions is possible even with the presence of surfactants.

3.7 Desorption

Desorption is an important issue, because it enables reusing sorbent in process and recovering of valuable heavy metals. Usually, various chelating agents (i.e. EDTA), acids, bases are used as eluting agents. In this work the efficiency of four eluents (distilled water, 0.1 M HCl, 0.1 M HNO3, 0.1 M EDTA) (Table 6) was tested. The largest recovery of heavy metals was obtained for 0.1 M HCl (over 97 %) and also for 0.1 M HNO3 (over 95 %). Chelating agent EDTA occurred to be less efficient (recovery 71–75 %). Desorption using distilled water was almost neglected.

Table 6 Tab. 6 Heavy metals recovery in desorption processRückgewinnung von Schwermetallen im Desorptionsprozess

In order to test the possibility of reusing given sorbent, four sorption–desorption measurement cycles using 0.1 M HCl as eluent were performed (Fig. 7). In all sorbent-metal ion pairs an insignificant decrease in sorption ability was observed after each cycle (within 5–10 % boundaries). Decrease of sorption ability may be caused by interaction of metal ions with functional groups, which may result in irreversible masking of active places on sorbent surfaces. However, after four cycles the decrease of the efficiency did not exceed 30 % which is a very good result and indicates that beech sawdust may be a suitable sorbent for removing heavy metal ions from water solutions.

Fig. 7 Abb. 7
figure 7

Beech sawdust sorption capacity in consecutive sorption–desorption cycles

Sorptionsvermögen von Buchensägemehl in aufeinanderfolgenden Sorptions-Desorptions-Zyklen

4 Conclusion

Beech sawdust is a potential sorbent of heavy metals (Cu2+, Cr3+). The equilibrium is described best by Langmuir model, maximum sorption capacity at pH 5 and a temperature of 20 °C for beech sawdust was 30.22 mg g−1 for Cu2+ ions and 41.86 mg g−1 for Cr3+ ions. Biosorption of heavy metals is a process strongly related to temperature. Determined thermodynamic parameters suggest that in the case of that sorbent and those heavy metals, spontaneous and endothermic processes are involved. Despite the decrease in efficiency of biosorption in the presence of inorganic salts (NaCl and MgCl2) and organic compounds (cationic and anionic surface-active compounds, CTAB and SDBS), the sorbent potential is still high and it may still efficiently remove heavy metals from water solutions. HCl occurred to be a good agent enabling desorption of heavy metal ions from biosorbent surface, enabling reusing it in consecutive sorption–desorption cycles with little loss of sorption capacity.