1 Introduction

Due to the overgrowth in population, industrialization, and civilization, the demand for water is increasing geometrically. Therefore, wastewater needs to be purified and recycled for the purpose as alternative sources of water (Ngah and Hanafiah 2008; Ali 2010). Among various treatment technologies, adsorption is a fast and universal method which offers significant advantages like the low cost, availability, profitability, ease of operation, and efficiency (Ali and Gupta 2006; Demirbas 2008).

Various sorbents have been developed, ranging from natural materials to synthetic products (Gupta et al. 2009a). Gupta et al. (1997, 2007a) reported that slag, a blast furnace waste material, can be effective in sorbing Zn and Cd from wastewater and that TiO2, a synthetic catalyst, can remove the hazardous dye Safranin-T through sorption and photochemical degradation. Among those sorbents developed, the C-based sorbents have proven to be most cost-effective in removing inorganic as well as organic pollutants from wastewater (Ali 2010). For example, carbon slurry developed from a waste material has been used on the removal of Vertigo Blue 49, Orange DNA13, fluoride, as well as Cr(VI) (Gupta et al. 2007b, 2007c; Gupta et al. 2010). Bagasse fly ash, a by-product generated in sugar industries, was used for the effective removal of Cu, Zn, Cd, Ni, and Cr from wastewater (Gupta et al. 1999; Gupta and Ali 2000; Gupta et al. 2003; Gupta and Sharma 2003). Aspergillus versicolor biomass has high affinity for Hg sorption, with the maximum capacity of 75.6 mg g−1 (Das et al. 2007). The algal biomass Oedogonium sp. exhibited the high uptake of Zn and Cr from aqueous solution, with the sorption capacity of Zn as much as 88.9 mg g−1 (Gupta and Rastogi 2008, 2009). Gupta et al. (2006a, 2007d) indicated that wheat husk and bottom ash can remove Reactofix golden yellow 3 and hazardous azo dye acid orange 7 from aqueous solutions, respectively. Uchimiya et al (2010, 2011) showed that activated carbon derived from broiler litter was effective in immobilizing Cd, Cu, Ni, and Pb in soil and water through cation exchange, π electrons (C═C), as well as precipitation. It should also be noted that accurate determination of each metal pollutant plays a critical role in the treatment of multi-metal contaminated wastewater. Various sensors and membranes have been developed for selective detection of metal pollutants, for example, Nd(III)-selective PVC membrane sensors (Gupta et al. 2009b), Cr(III) or Cr(VI)-selective sensor based on tri-o-thymotide and C-thiophenecalix resorcinarene in PVC matrix (Jain et al. 2005; Gupta et al. 2006b), Pb(II)-selective potentiometric sensor based on 4-tert-Butylcalix arene in PVC matrix (Gupta et al. 2002), Schiff bases as Cd(II) selective ionophores in polymeric membrane electrodes (Gupta et al. 2007e), poly(vinyl chloride)-based membranes of Schiff bases for Cd(II) (Gupta et al. 2009c), organic resin-based membrane sensors for uranyl ions (Jain et al. 1995a, 1997a), PVC-based benzo-15-crown-5 and benzo-24-crown-8 membrane sensors for Cd(II) and Cs(I) (Srivastava et al. 1995, 1996; Gupta and Kumar 1999), PVC membrane-based alizarin sensor for V, Zr, and Mo (Gupta et al. 2009d), and macrocycle-based membrane sensors for Co((II) and Cu(II) (Jain et al. 1995b, 1997b).

Biochar is a carbonaceous solid residue of thermal treatment of carbon-rich biomass under O2-limited and low temperatures (<700°C), a process known as low-temperature pyrolysis (Lehmann and Joseph 2009). It has received considerable interest as a soil amendment to improve soil fertility, crop production, and nutrient retention and to serve as a recalcitrant carbon stock (Chan et al. 2007; Lehmann 2007; van Zwieten et al. 2010; Woolf et al. 2010). Recently, some work has shown that biochar can be a sorbent for sorption of heavy metals from waste water and an amendment for immobilization of heavy metals in contaminated soils (Qiu et al. 2008; Beesley et al. 2010, 2011; Chen et al. 2011; ). Qiu et al (2008) indicated that biochar isolated from the burning residues of rice straw and wheat straw retained 22.2–27.7 mg Pb per gram mass. They attributed the high sorption to the three reasons: (1) electrostatic interactions between metal cations and negatively charged carbon surface; (2) ionic exchange between ionizable protons at the surface of acidic carbon and metal cations; and (3) sorptive interaction involving delocalized π electrons of carbon. Chen et al (2011) reported that biochars produced from hardwood and corn straw had high affinities for Cu and Zn, with maximum Cu and Zn adsorption capacities of 12.5 and 11.0 mg g−1, respectively. However, in a recent study, Beesley et al (2010) found that hardwood-derived biochar significantly reduced Zn and Cd in soil pore water, whereas Cu and As concentrations increased more than 30-fold after adding the biochar amendments. All those studies above indicated that the effectiveness of biochars in retaining heavy metals varied with different biochars and metals. Furthermore, the underlying mechanisms for the sorption of different metals by biochars are not fully yet understood.

Our previous work indicated that the biochar derived from dairy manure can effectively sorb Pb, with the maximum sorption capacity of 141 mg g−1 and the sorption of Pb by the biochar is mainly attributed to precipitation of Pb phosphate and carbonated minerals (Cao et al. 2009). The objective of this study is to investigate whether the dairy-manure biochar is also effective in sorbing Cu, Zn, and Cd. The mechanism involved in the retention of metals on the biochar was elucidated at a molecular level using chemical speciation modeling and Fourier transform infrared spectroscopy, scanning electron microscopy, and X-ray dot mapping analysis.

2 Materials and methods

2.1 Preparation of biochar and chemical reagents

The biochars used in this study were produced from dairy manure through a typical slow pyrolysis process. Details on the biochar preparation were described previously (Cao and Harris 2010). Briefly, dairy manure was air-dried and ground to less than 1 mm before they were added into a stainless steel reactor. The reactor was then put in a Muffle Furnace (Thermo Fisher Scientific, Inc., Pittsburgh, PA, USA) and heated under O2-limited condition at either 200 or 350°C. After 4 h of heating, the furnace was turned off and the sample was allowed to cool to room temperature. The solid residue left in the reactor was designated as biochar and those produced from dairy manure at 200 and 350°C were referred to as DM200 and DM350, respectively. The biochar was ground and passed through 0.5-mm sieve for characterization and sorption experiment.

All chemical reagents were of analytical grade. The stock solutions of 5 mM Cu, Zn, and Cd were prepared by dissolving their nitrate salts (Sinopharm Chemical Reagent Co) in a 0.01 M NaNO3 solution.

2.2 Physical and chemical properties of the biochars

Elemental (C, H, and N) analyses were conducted using the CHNS/O Analyzer (Perkin Elmer, 2400 II). Other elements (P, Ca, Mg, K. Na, etc.) were determined using the USEPA Method 3050B (USEPA 1986). Surface area was measured in triplicate by nitrogen adsorption isotherms at 77 K using a surface area and porosimetry analyzer (Micromeritics Inc., USA). The pH of the biochars was determined at a ratio of 1:10 for solid to deionized water (Cao and Harris 2010). Water soluble PO 3−4 and CO 2−3 were extracted by mixing 5 g biochar with 50 mL deionized H2O and determined using ion chromatography (Waters 2690 Separations Module, Waters Corporation, USA) (Cao and Harris 2010).

2.3 Sorption test

The experiment was conducted in 60-mL polypropylene tubes by mixing 0.125 g biochar with 25 mL 0.01 M NaNO3 solution containing 0, 1, 2, 3, 4, and 5 mM Cu, Zn, or Cd, respectively. The mixture was then agitated on a reciprocating shaker at 100 rpm for 10 h. The time was shown enough for sorption of all metals to reach equilibrium, determined by the preliminary experiment (data not shown). After equilibrium, solid and liquid phases were separated by centrifugation at 4,000 rpm for 15 min and the solution was filtered through a 0.22-μm Millipore filter. The filtrate was immediately acidified to pH < 2 with concentrated HNO3 for chemical analysis. Concentrations of Cu, Zn, and Cd in the filtrate were determined by atomic absorption spectroscopy (AAS) (Jena AAS novAA350) and that of P was determined by colorimetry using the molybdate/ascorbic acid method (Olsen and Sommers 1982). The solids retained on the filter were collected and washed with deionized water for Fourier transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM).

To estimate the sorption capacity and intensity of heavy metals onto biochar, Langmuir and Freundlich models were used to fit the experimental data of the sorption isotherms. The formulas of two models are shown below:

$$ G = {G_{{{ \max }}}}{C_{\rm{e}}}/\left( {K + {C_{\rm{e}}}} \right)\;\left( {{\hbox{Langmuir}}\;{\hbox{model}}} \right) $$
$$ G = {K_{\rm{F}}}{C_{\rm{e}}}^{{{{{1}} \left/ {\rm{n}} \right.}}}\left( {{\hbox{Freundlich}}\;{\hbox{model}}} \right) $$

where C e (mM) is the equilibrium concentration in the solution; G (mmol/kg) is the metal adsorbed at equilibrium; G max (mmol/kg) is the maximum adsorption capacity; n is Freundlich constant related to adsorption intensity; and K and K F are the adsorption constants for Langmuir and Freundlich models, respectively.

2.4 Metal speciation modeling

Twenty-five milliliters of 0.01 M NaNO3 solution containing 5 mM Cu, Zn, or Cd was mixed with 0.125 g of biochar. After being shaken for 10 h, separation of solid and liquid was conducted as done in the sorption test in Section 2.3. Half of the filtrate was collected for dissolved organic C (DOC) measurement using organic C analyzer (Multy N/C3000, Jena Corporation, Germany) and for anions (PO 3−4 , SO 2−4 , Cl, NO 3 , and CO 2−3 ) analysis using ion chromatography. Remaining filtrate was acidified to pH < 2 with HNO3 prior to analysis of Cu, Zn, Cd, Ca, Mg, Fe, Al, Mn, Na, and K using AAS. The analytical results, including pH, DOC, anions, and cations, were used in the speciation model Visual MINTEQ (Gustafsson 2010) to calculate metal species in both solid and liquid phases.

2.5 Quality control

All sorption experiments were conducted at ambient temperature and included three controls: deionized water, metal solution, and biochar + deionized water. Three replicates were used for each treatment. Solution pH was not controlled but recorded at the beginning and the end of the equilibration. Sorption of heavy metals was calculated from the difference between initial and final solution concentrations after taking controls into account.

3 Results and discussion

3.1 Characteristics of biochars

The specific surface areas (SSA) of both DM200 and DM350 were less than 6 m2 g−1 (Table 1), lying within the range (1–50 m2 g−1) of biochar produced from industrial organic waste such as eucalyptus sawdust, activated sludge, or cow biosolids (Shinogi and Kanri 2003; Martins et al. 2007), but they were much smaller than that (50–500 m2 g−1) of biochar derived from plant residue such as wood charcoal, sugarcane bagasse, or wheat residue (Shinogi and Kanri 2003; Chun et al. 2004). Plant residues are abundant in organic C which could produce higher porosity when heated, resulting in biochar with high SSA (Martins et al. 2007). The industrial solid waste generally contains a certain amount of mineral components in addition to rich organic C; for example, the dairy manure contain 2.91 % CaCO3 (Cao and Harris 2010). Presence of minerals in the organic waste reduced porosity when pyrolyzed, resulting in biochar with low SSA. When the pyrolysis temperature increased, the organic C started to become partially ashed and alkali salts began to separate from the organic matrix, increasing the biochar pH from 7.63 at 200°C to almost 10 at 350°C (Table 1).

Table 1 Selected properties and elemental composition of the biochar

As expected, the biochar was rich in C (25.2–31.1 %) and its concentrations decreased with increasing production temperature (Table 1). The decrease of C resulted probably from the increasing biomass combustion and organic volatilization with increasing temperature. In addition to abundance of C, the biochar contained substantial amounts of macro mineral elements such as Ca, Mg, K, Na, and Fe, with Ca being the highest at 8.89 % (Table 1). Heating the manure from 200 to 350°C reduced biomass, correspondingly increasing concentrations of the mineral elements in the biochar (Table 1). Richness of mineral elements originated from the dairy cow diet input for satisfying nutrient requirement of milk production (NRC 2001). Concentrations of trace elements such as Cu, Cd, and Zn were not higher than 0.03 %, and their contribution to the sorption is less than 0.001 %. Thus, the effect of metals originating from the biochar itself can be negligible. Note that P was rich in biochar and significantly increased from 1.74 % at 200°C to 2.41 % at 350°C (Table 1). Also, the biochar contained calcite (CaCO3) mineral and its concentrations increased from 4.02 % in DM200 to 7.03 % in DM350, correspondingly soluble CO 2−3 increased from 2.52 % in DM200 to 2.94 % in DM350 (Table 1). However, DM350 has a lower soluble P than DM200, probably due to conversion of amorphous to crystallized P-Ca-Mg association (e.g., (Ca,Mg)3(PO4)2) when temperature increased from 200 to 350°C (Cao and Harris 2010).

3.2 Sorption of Cu, Zn, and Cd by DM200

The sorption isotherms of Cu, Zn, and Cd by DM200 was of L-type (Fig. 1a) according to the classification of Giles and Smith (1974) and they were better fitted to Langmuir model (R 2 = 0.95–0.99) than Freundlich model (R 2 = 0.74–0.94) (Table 2). The DM200 was effective for sorbing the three metals, with the maximum sorption capacity of Cu, Zn, and Cd being 762, 504, and 285 mmol kg−1, respectively. If converted on the mass basis, the maximum sorption capacity of Cu, Zn, and Cd was 48.4, 31.6, and 31.9 mg g−1, respectively. Sorption of metal ion from aqueous solution is generally governed by surface chemistry and surface area of the sorbent or by precipitation reactions (Echeverria et al. 1998). Since DM200 had the low surface area (5.61 m2 g−1), the surface-area depending sorption would not be expected; whereas surface functional groups or mineral components present in the DM200 may contribute to high sorption ability via complexation or precipitation. As the concentrations of initial Cu, Zn, and Cd increased, soluble PO 3−4 and CO 2−3 were significantly reduced (Fig. 2a, c). It means that PO 3−4 and CO 2−3 were involved in the sorption process of Cu, Zn, and Cd by DM200.

Fig. 1
figure 1

Isotherms of sorption of heavy metals by DM200 (a) and DM350 (b) described by Langmuir and Freundlich model, respectively

Table 2 Isotherm parameters of metal sorption by the biochar deduced from Langmuir and Freundlich models
Fig. 2
figure 2

Variation of PO 3−4 and CO 2−3 in the solution during sorption of heavy metals by DM200 (a and b) and DM350 (c and d)

Our previous work indicated that sorption of Pb by the manure biochar was mainly attributed to formation of Pb-phosphate or Pb-carbonate precipitates (Cao et al. 2009). Therefore, we assumed that formation of metal-phosphate and -carbonate precipitates may also be responsible for the sorption of Cu, Zn, and Cd. The hypothesis was confirmed by FTIR and X-ray elemental dot mapping analysis (Figs. 3 and 4). FTIR spectra showed that the sorption of Cu, Zn, and Cd induced the peak of PO 3−4 at 1,093 cm−1 in the DM200 shifted to 1,080, 1,060, and 1,071 cm−1, respectively, and the peak of CO 2−3 at 1,404 cm−1 shifted to 1,417, 1,435, and 1,425 cm−1, respectively (Fig. 3a). The shift of those peaks was attributed to complexation or precipitation of metal-phosphates and -carbonates. Apart from changes of the band PO 3−4 and CO 2−3 , DM200 after Cu or Zn sorption also showed some changes at 3,200–3,500 cm−1 which is assigned to phenolic –OH stretching (Qiu et al. 2008) compared to the control biochar (Fig. 3a), indicating a surface adsorption process via complexation of Cu or Zn with ionized phenolic –O group. Little change in the peaks at 3,200–3,500 cm−1 for Cd indicated less possibility of surface adsorption via –OH site. X-ray elemental dot mapping evidenced association of P-Cu, P-Zn, and P-Cd (Fig. 4a, b, c) though Ca and Mg may also be complexed with those metals in the biochar. In contrast, C existed as discrete, isolated phase which originated from biochar itself.

Fig. 3
figure 3

FTIR spectra of DM200 (a) andDM350 (b) before and after metal sorption

Fig. 4
figure 4

SEM images and elemental dot maps of the DM200-laden Cu (a), Zn (b), and Cd (c) and the DM350-laden Cu (d), Zn (e), and Cd (f)

Visual MINTEQ modeling further supported precipitation mechanism. When initial metal concentration was 5 mM for each metal, there were 80–100 % of Cu, Zn, and Cd sorption via the precipitation of metal-phosphate and -carbonate, with less than 20 % of sorption from surface sorption. Among precipitation, 21–31 % resulted from metal phosphate precipitates and 69–79 % from metal carbonate precipitates (Table 3). Sorption of Cd nearly completely resulted from precipitation (100 %), which is consistent with the FTIR data.

Table 3 Comparison of removal percentage of heavy metals by the biochar with the precipitation percentage of heavy metals predicted by Visual MINTEQ model

Based on the results of chemical speciation, SEM and FTIR analysis, and MINTEQ modeling above, the mechanism of sorption of Cu, Zn, and Cd by BC200 can be proposed as follows:

Cd:

$$ {\hbox{2P}}{{\hbox{O}}_{{4}}}^{{{3} - }} + {\hbox{3C}}{{\hbox{d}}^{{{2} + }}} \to {\hbox{C}}{{\hbox{d}}_{{3}}}{\left( {{\hbox{P}}{{\hbox{O}}_{{4}}}} \right)_{{2}}} \downarrow $$
$$ {\hbox{C}}{{\hbox{d}}^{{{2} + }}} + {\hbox{C}}{{\hbox{O}}_{{3}}}^{{{2} - }} \to {\hbox{CdC}}{{\hbox{O}}_{{3}}} \downarrow + {{\hbox{H}}_{{2}}}{\hbox{O}} $$

Cu and Zn:

$$ {\hbox{2P}}{{\hbox{O}}_{{4}}}^{{{3} - }} + {3}{{\hbox{M}}^{{{2} + }}} \to {{\hbox{M}}_{{3}}}{\left( {{\hbox{P}}{{\hbox{O}}_{{4}}}} \right)_{{2}}} \downarrow \left( {{\hbox{M}} = {\hbox{Cu}},\;{\hbox{Zn}}} \right) $$
$$ {{\hbox{M}}^{{{2} + }}} + {\hbox{C}}{{\hbox{O}}_{{3}}}^{{{2} - }} \to {\hbox{MC}}{{\hbox{O}}_{{3}}} \downarrow + {{\hbox{H}}_{{2}}}{\hbox{O}} $$

3.3 Sorption of Cu, Zn, and Cd by DM350

The sorption isotherms of Cu, Zn, and Cd by DM350 was of H-type (Fig. 1b) and they were better fitted to Freundlich model (R 2 = 0.86–0.98) than Langmuir model (R 2 = 0.74–0.98) (Table 2). Compared to DM200, DM350 had high affinity for sorption of Cu, Zn, and Cd, with their maximum sorption capacity being 810, 487, and 486 mmol kg−1, respectively. If converted on the mass basis, the maximum sorption capacity of Cu, Zn, and Cd was 54.4, 32.8, and 51.4 mg g−1, respectively. As the initial concentrations of Cu, Zn, and Cd increased, soluble CO 2−3 were significantly reduced (Fig. 2d) and soluble PO 3−4 , though less, also decreased (Fig. 2b). This observation indicated that PO 3−4 and CO 2−3 were involved in the sorption of Cu, Zn, and Cd by DM350.

Like DM200, sorption of Cu, Zn, and Cd by DM350 may also be attributed to formation of metal-phosphate and -carbonate precipitates. The hypothesis was confirmed by FTIR and X-ray elemental dot mapping analysis (Figs. 3 and 4). FTIR spectra showed that the sorption of Cu, Zn, and Cd induced the peak of PO 3−4 at 1,080 cm−1 in the DM350 shifted to 1,041 and 1,055 cm−1, and the peak of CO 2−3 at 1,431 cm−1 for Cu and Zn shifted to 1,445 and 1,450 cm−1, respectively (Fig. 3b). Little change of the CO 23 − peak in the Cd-sorbed DM350 was probably due to the overlap by the change of the peak at 1,600 cm−1. Disappearance of the peak for Zn and Cd at 1,600 cm−1 which represent aromatic C═C and C═O (Uchimiya et al. 2011) indicated surface complexation of heavy metal by delocalized π electrons. The change in the peak of –OH between 3,200 and 3,500 cm−1 with Zn and Cd sorption indicated the possibility of surface adsorption through their complexation with phenolic –OH (Fig. 3b). For Cu, however, there was little change at the peaks of phenolic –OH and aromatic C═C and C═O, indicating less possibility of surface adsorption. X-ray elemental dot mapping evidenced association of P-Cu, P-Zn, and P-Cd (Fig. 4d, e, f). Visual MINTEQ modeling further supported that 75–100 % of Cu, Zn, and Cd sorption were attributed to the precipitation of metal-phosphate and -carbonate, with less than 25 % of sorption from surface sorption when metal concentration was 5 mM for each. Among the precipitation, however, only less 7 % of precipitation resulted from metal phosphate precipitates due to less soluble PO 3−4 , while carbonate precipitates accounted for as high as 98 % (Table 3). Sorption of Cu almost completely resulted from precipitation (100 %), which is consistent with the FTIR data.

Based on the results of chemical speciation, SEM and FTIR analysis, and MINTEQ modeling above, the mechanism of sorption of Cu, Zn, and Cd by BC350 can be proposed as follows:

Cu:

$$ {\hbox{3C}}{{\hbox{u}}^{{{2} + }}} + {\hbox{2P}}{{\hbox{O}}_{{4}}}^{{{3} - }} \to {\hbox{C}}{{\hbox{u}}_{{3}}}{\left( {{\hbox{P}}{{\hbox{O}}_{{4}}}} \right)_{{2}}} \downarrow $$
$$ {\hbox{C}}{{\hbox{u}}^{{{2} + }}} + {\hbox{C}}{{\hbox{O}}_{{3}}}^{{{2} - }} \to {\hbox{CuC}}{{\hbox{O}}_{{3}}} \downarrow + {{\hbox{H}}_{{2}}}{\hbox{O}} $$

Zn and Cd:

$$ {3}{{\hbox{M}}^{{{2} + }}} + {\hbox{2P}}{{\hbox{O}}_{{4}}}^{{{3} - }} \to {{\hbox{M}}_{{3}}}{\left( {{\hbox{P}}{{\hbox{O}}_{{4}}}} \right)_{{2}}} \downarrow \left( {{\hbox{M}} = {\hbox{Zn}},\;{\hbox{Cd}}} \right) $$
$$ {{\hbox{M}}^{{{2} + }}} + {\hbox{C}}{{\hbox{O}}_{{3}}}^{{{2} - }} \to {\hbox{MC}}{{\hbox{O}}_{{3}}} \downarrow + {{\hbox{H}}_{{2}}}{\hbox{O}} $$

3.4 Comparison of Cu, Zn, and Cd sorption by the biochar with other C-based biosorbents

Compared to DM200, the DM350 shows higher sorptive ability to the metals except for Zn (Table 2). This is probably due to higher equilibrium pH (5.85–6.98) in the DM350 solution than that (5.18–6.69) in the DM200 solution (data not shown). As discussed above, the retention of three metals by both biochars is mainly attributed to their precipitation with PO 3−4 and CO 2−3 originated in the biochars themselves. Thus, high pH in DM350 would be favorable for the precipitation. It should be pointed out that sorption of Cu, Zn, and Cd by DM200 and DM350 in all initial metal concentrations ranging from 1 to 5 mM allowed pH range of 5.85–6.45, 6.32–6.81, and 6.32–6.98, respectively, with alteration of less than 0.6 unit (data not shown). The observation indicated that the equilibrium pH for all metals remained little changed with the increasing initial metal concentrations. That is why the pH of whole sorption system was not controlled during the sorption test (Section 2.3). The relative stability of pH is related to high pH buffer capacity of the biochar due to its abundance of polyprotic PO 3−4 and CO 2−3 . On the other hand, higher CO 2−3 in the DM350 than that in the DM200 (Fig. 2b, d) may also contribute to its higher precipitation which is evidenced by the results of MINTEQ modeling where more than 93 % of metals was precipitated as carbonate compounds in the DM350, while in DM200, there was less than 78 % of metals precipitated as carbonate compounds (Table 3).

Compared to its sorption for Pb as high as 141 mg kg−1 reported by Cao et al.(2009), the dairy manure biochar is less effective for sorbing Cu, Zn, and Cd with their maximum sorption capacities of 54.4, 32.8, and 51.4 mg kg−1, respectively. That means the sorption effectiveness varied with types of different metals. Nevertheless, the dairy manure biochar still showed the high affinity for Cu, Zn, and Cd, compared with traditional C-rich biosorbents reported previously (Table 4). The greater sorption in the biochar was contributed to their abundant PO 3−4 and CO 2−3 which can complex with Pb, Cu, Zn, and Cd. It agrees with the idea that mineral elements in the biochar can serve as additional sorption sites (Uchimiya et al. 2010). Therefore, considering its recycling of solid waste and lacking of post-activation process, dairy manure biochar can be used as a promising cost-effective sorbent to remove metals, e.g., Pb, Cu, Zn, or Cd, from wastewaters.

Table 4 Comparison of sorption capacity of dairy manure biochar with selected different C-based biosorbents

4 Conclusions

The biochar produced form dairy manure at 200°C and 350°C (DM200 and DM350) were characteristic of rich C, PO 3−4 , and CO 2−3 which contributed to their high potential of the sorption of heavy metals. The results indicated that both DM200 and DM350 were effective for sorbing Cu, Zn, and Cd from aqueous solutions, with the highest sorption for Cu. DM350 had higher affinity for Cu, Zn, and Cd sorption than DM200 probably due to its higher concentration of CO 2−3 . The retention of Cu, Zn, and Cd by the biochar was mainly attributed to their precipitation with PO 3−4 and CO 2−3 , with less from surface adsorption through complexation of heavy metal by phenonic –OH site or delocalized π electrons. Overall, the dairy manure can be converted into value-added biochar as an effective sorbent for various heavy metals; the sorption effectiveness is varied with the different metals and affected by the biochar production temperature; and the mineral components (e.g., PO 3−4 , CO 2−3 ) originated in the biochar serve as additional sorption sites, contributing to the biochar's high sorption capacity. Turning dairy manure into biochar as a sorbent has many environmental implications, e.g., reuse of solid waste and remediation of contaminated water.