Characterization of biochars produced from peanut hulls and pine wood with different pyrolysis conditions
© Lee et al. 2016
Received: 8 December 2015
Accepted: 6 March 2016
Published: 22 March 2016
The Erratum to this article has been published in Bioresources and Bioprocessing 2016 3:36
Application of modern biomass pyrolysis methods for production of biofuels and biochar is potentially a significant approach to enable global carbon capture and sequestration. To realize this potential, it is essential to develop methods that produce biochar with the characteristics needed for effective soil amendment.
Biochar materials were produced from peanut hulls and pine wood with different pyrolysis conditions, then characterized by cation exchange (CEC) capacity assays, nitrogen adsorption–desorption isotherm measurements, micro/nanostructural imaging, infrared spectra and elemental analyses.
Under a standard assay condition of pH 8.5, the CEC values of the peanut hull-derived biochar materials, ranging from 6.22 to 66.56 cmol kg−1, are significantly higher than those of the southern yellow pine-derived biochar, which are near zero or negative. The biochar produced from peanut hulls with a steam activation process yielded the highest CEC value of 66.56 cmol kg−1, which is about 5 times higher than the cation exchange capacity (12.51 cmol kg−1) of a reference soil sample. Notably, biochar produced from peanut hulls with batch barrel retort pyrolysis also has a much higher CEC value (60.12 cmol kg−1) than that (12.45 cmol kg−1) from Eprida’s H2-producing continuous steam injection process. The CEC values were shown to correlate well with the ratios of oxygen atoms to carbon atoms (O:C ratios) in the biochar materials. The higher O:C ratio in a biochar material may indicate the presence of more hydroxyl, carboxylate, and carbonyl groups that contribute to a higher CEC value for the biochar product. In addition, the increase in surface area can also play a role in increasing the CEC value of biochar, as in the case of the steam activation char.
Comparison of characterization results indicated that CEC value is determined not only by the type of the source biomass materials but also by the pyrolysis conditions. Biochar with the desirable characteristics of extremely high surface area (700 m2/g) and cation exchange capacity (> 60 cmol kg) was created through steam activation.
The world currently faces a systematic problem of increased CO2 emissions, decreased soil-carbon content, and global-climate change (global warming). To solve this massive global energy and environmental sustainability problem requires a comprehensive portfolio of R and D efforts with multiple energy technologies. Application of modern biomass pyrolysis methods for production of biofuels and biochar is potentially a significant approach to enable global carbon capture and sequestration at GtC scales (Day et al. 2005; Lee and Day 2013). Two of us (Day and Lee) co-initiated this technology concept with biochar as a soil amendment and carbon sequestration agent first in 2002 through a provisional US patent application followed by a PCT application (Day and Lee 2004). Using biochar samples produced by Eprida, Inc. (Athens, GA) from peanut hulls and pine wood, we performed certain experimental studies of the biochar materials with an ammonia carbonation process, cation exchange capacity assays, and micro/nanostructural analysis at Oak Ridge National Laboratory (ORNL) (Lee et al. 2013, 2010). This biochar soil amendment approach has received some recognition worldwide (Day and Lee 2004; Marris 2006; Lehmann 2007), especially since certain biochar-related soil (including Terra preta) research results have also indicated the possibility of using biochar as a soil amendment for carbon sequestration (Gundale et al. 2007; Solomon et al. 2007; Lehmann et al. 2006; Downie et al. 2011; Lee et al. 2010). Since the first USA biochar scientific symposium held in 2004 in Athens, Georgia, that was organized by one of us (Day) (Energy with Agricultural Carbon Utilization Symposium 2004), biochar research has increasingly become a wide-spread global scientific effort (Novak and Busscher 2013; Srinivasan et al. 2015; Zhang et al. 2015; Zhao et al. 2015, 2014; Windeatt et al. 2014; Lehmannn and Joseph 2009; Bates 2010). Recently, biochar soil application has been discussed at the United Nations Framework Convention on Climate Change for possible consideration as a potential climate mitigation technology in accounting carbon credit (International Biochar Initiative), and a methodology for including biochar soil application as a carbon trading option has been reviewed by the American Carbon Registry (Koper et al. 2013). However, significantly more studies are needed before this approach can be considered for wide-spread commercial implementation (Novak et al. 2014; Baronti et al. 2014; Dai et al. 2013; Singh et al. 2015, 2014; Zhang et al. 2010; Blackwell et al. 2010; Spokas et al. 2010; Beesley et al. 2010; Topoliantz et al. 2005). In this paper, we report the results of a biochar characterization study performed at ORNL using biochar materials produced from peanut hulls and pine wood under various different pyrolysis conditions as part of the efforts to develop better biochar materials for potential application as a soil amendment and carbon sequestration agent.
Sample identification (ID) numbers and description: biochars and a control soil sample
Biomass pyrolysis condition
PNC-EP char; Source: peanut hull
Eprida H2 continuous process char-temp 481 °C, 5.4 psig
PNC-M char; Source: peanut hull
Eprida H2 continuous process char-temp 475 °C, 1.4 psig
PNC-B char; Source: peanut hull
Batch barrel retort pyrolysis (no temp control/monitoring)
PIC-EP char; Source: southern yellow pine
Eprida H2 continuous process char-temp 465 °C, 4.2 psig
PIC-M char; Source: southern yellow pine
Eprida H2 continuous process char-temp 474 °C, 1.5 psig
PIC-NS char; Source: southern yellow pine
Eprida H2 continuous process no steam char-temp 485 °C, 0.5 psig
“High” char; Source: peanut hull
Eprida cross draft process, no steam char-average temp 950 °C
“Active” char; Source: peanut hull
Eprida cross-draft process 500C followed steam activation 800 °C Char
“Med” char; Source: peanut hull
Eprida cross-draft process, no steam-average temp 600 °C
Control soil sample: Milan soil from 0–15 cm deep
Source: CSiTE, Milan, TN
Biochar samples #4, 5, 8, 9, and 10 (as listed in Table 1) were generated in Eprida’s pilot scale biomass to hydrogen plant located at the University of Georgia’s BioCoversion Center. Since this was a DOE sponsored project to demonstrate hydrogen from biomass, the equipment and all material produced were under conditions optimized for hydrogen production rather than biochar production (H2 continuous process). The plant consisted of a pyrolysis unit and a fluidized bed catalytic steam reformer for the production of biochar and hydrogen-rich syngas. The pyrolysis unit consisted of a rotary feeder and a variable speed auger for conveying the feedstock through the reactor. The system was electrically heated and utilized steam as a heated sweep gas and reactant. It typically operated around 15 kg/h biomass throughput with char yields averaging 29–30 %. The average residence time was 12–15 min. The pilot plant has been described in greater detail previously (Das et al. 2009). For all sample production runs, the temperature, rotary feeder, and auger speed set-points remained constant and unchanged. Temperatures and pressures listed in Table 1 are measured values, and variances between samples are due to changes in feedstock, sweep gas, and downstream equipment selection. Biochar samples 4 (PNC-EP char) and 8 (PIC-EP char) were produced while the pyrolysis vapors were sent to the catalytic steam reformer and converted to hydrogen-rich syngas. This caused slight restriction in the flow of vapors out of the pyrolysis reactor. Biochar samples 5 (PNC-M char) and 9 (PIC-M char) were run while the pyrolysis vapors were sent directly to flare with none of the vapors being diverted to the steam reforming section and no flow restriction on pyrolysis vapors resulting in lower reactor pressure than samples 4 and 8. Biochar sample 10 (PIC-NS char) was produced with vapors sent directly to flare as with samples 5 and 9; however, no steam was present as a carrier gas in the pyrolysis reactor. Nitrogen was present as required to protect the equipment sensors but it was not present in a quantity significant to be considered a carrier gas.
Biochar 12 (“High” char) was made from peanut hull with Day’s custom designed cross draft thin bed pyrolysis reactor (50 kg/h). It was designed to produce charcoal for steam activation in a second process. Rotary feed and discharge valves were used to control biomass flow. It utilized a natural gas burner operating at stoichiometric conditions to produce an inert gas stream that passed through a pyrolysis tube reactor with a diameter of 8 cm which also served as a moving bed of pelletized peanut hulls. The pressure was essentially atmospheric as gases where vented to a stack. Material exit temperature was used to control the biomass feed and discharge rates. The biochar of this sample was removed when it reached 950 °C. This was an off-spec product but included for evaluation.
Biochar 13 (“Active” char) was made by Day from a biochar produced in a similar reactor as that which produced Biochar 12 and 14, but the exit temperature was approximately 500 °C, and the biochar material was treated with steam in a novel three-zone 20-ft-long rotary reactor at 800 °C via discharge ports built into the reactor shell on a 18-cm square pattern for approximately 1 h. The hydrogen and carbon monoxide produced by the reaction between the carbon and steam were burned above the bed by injection of air through the same ports to maintain the temperature with additional heat and steam derived from combustion of pyrolysis vapors. The feed rate was maintained at approximately 400 kg/h and discharge rate was 200 kg/h. The material was cooled via a water jacket cooling transport cooler, then ground via a Williams Ring Roller Mill.
Biochar 14 (“Med” char) was made from the same process as that of biochar 12, except the temperature of the biochar when discharged was 600 °C. This is typical of biochar designed for steam activation. This material was made as part of the DOE hydrogen program where the quantity of gas was more critical than impacts on the biochar. It was made at 600 °C in July 2002 as part of our 100 hour hydrogen production from biomass.
Cation exchange capacity and its assay protocol
A modified barium chloride compulsive exchange method (Skjemstad et al. 2008) was used in this study to determine the CEC for the biochar samples and a soil control from a standard test site located in West Tennessee as described above (University of Tennessee Research and Education Center, Milan, Tennessee, USA). The CEC value for the soil sample was reported previously (Lee et al. 2010). The detailed CEC protocol and data tables S1 and S2 are given in the Additional file 1 (supporting information). The test materials were ground for 4 min in a SPEX CertiPrep 8000-D Mixer mill with 1-cm (diameter) steel balls. Part of each ground sample was subsequently subjected to wet sieving with cutoff of 106 μm followed by oven drying before the CEC assay (Additional file 1: Tables S2 and S3). All samples were assayed in duplicate at ambient temperature (21–25 °C). Following the initial CEC determination for barium loading at pH 8.5, the suspensions were adjusted to lower pH values by addition of 0.010 M H2SO4 and the CEC determined again. Milliequivalents of acid required for pH adjustment were determined by weighing the titration containers.
Scanning electron microscopic (SEM) imaging
SEM images were taken with a Hitachi S-4700 at the center for nanophase materials sciences (CNMS) at ORNL. Biochar samples were mixed in water or isopropyl alcohol (IPA) at 5 wt% then placed on top of a 500 μm p-doped silicon wafer (which has very low resistance <0.005 Ω-cm) and dried to fix the biochar samples onto the wafer. A more detailed description of the biochar SEM imaging method and selected images at three magnifications of samples 4, 5, 6, 8, 9, 12, and 13 are presented as Additional file 1: Figures S1a, S1b, S1c, and S1d in the Supporting Information.
Biochar surface area analysis
Brunauer–Emmett–Teller (BET)-specific surface areas were obtained from nitrogen adsorption–desorption isotherms measured at 77 K on a Quantachrome Autosorb-1 analyzer with all samples outgassed at 200 °C prior to analysis for a minimum of 8 h. Pore size distributions were analyzed by the BJH method, and BET taken from a multipoint plot over a P/Po range 0.05–0.35. Isotherms from biochars 4, 5, 6, 8, 9, 12, and 13 are included in the Supporting Information file as Additional file 1: Figures S2, S3, S4, S5, S6, S7, and S8, respectively.
Biochar infrared spectroscopic analysis
Infrared spectra were recorded on a Digilab FTS 7000 FTIR spectrometer, collected in transmittance, resolution of 4 cm−1, 200 scans. Samples were prepared in KBr, 10 wt%, and pressed into a pellet. The spectra are presented in the Additional file 1, with Figure S9 showing the spectra for samples 4, 5, and 6; Additional file 1: Figure S10 those for 8 and 9; and Additional file 1: Figure S11 those for 12 and 13. Waveband assignments for functional groups are marked on the spectra in Additional file 1: Figure S11. Spectra shown are normalized at ca. 1827 cm−1.
Elemental and proximate analysis
Biochar samples were sent to Galbraith Laboratories, Knoxville, TN for elemental, and proximate analysis.
Results and discussion
Cation exchange capacity (CEC) assay
To test the accuracy of the conductivity assay method for low CEC values, four 20-ml aliquots of 0.010 M MgSO4 were weighed and titrated to the conductivity of 0.0015 M MgSO4. Assuming a simulated sample size of 0.5 g, an average value of −2.750 ± 0.2903 cmol kg−1 was obtained.
Samples 6 (PNC-B char) and 13 (“Active” char), two of the peanut hull-derived biochar materials, were identified as some of the best biochar materials with the highest CEC values of 60.12 ± 0.19 and 66.56 ± 0.22 cmol kg−1, which is about five times higher than the cation exchange capacity (12.51 ± 0.30 cmol kg−1) of a standard soil (sample 16, Milan top soil). The biochar of sample 6 (PNC-B char) was produced from peanut hull using a batch barrel pyrolysis technique mimicking a traditional char-making process without temperature control/monitoring. The biochar of sample 13 (“Active” char) was produced from the peanut hull with a continuous active char-making process, which resulted in an CEC value of 66.56 ± 0.22 cmol kg−1. Surprisingly, the PNC-B biochar produced from a batch barrel retort pyrolysis of peanut hull also has much higher CEC value (60.12 ± 0.19 cmol kg−1) than that of the PNC-EP biochar from Eprida’s H2-producing continuous steam-injected char-making process (12.45 ± 0.26 cmol kg−1). These results indicate that CEC value is determined not only by the type of the source biomass materials but also by the pyrolysis conditions. The CEC value of sample 14 (“medium” char) which was produced by a heat treatment without steam of peanut hulls similar to sample 12, but at a lower temperature (600 °C instead of 950 °C), was close to that of 12. This confirms the presence of steam during the treatment is one of the important process conditions to obtain the high CEC values observed in samples 6 and 13.
The CEC values were determined for the wet-sieved biochar and soil samples (Additional file 1: Table S2). The effect of the wet-sieved treatment on the CEC varied dependent on the sample. The CEC values obtained were similar to those before sieving for chars 4, 5, 6, and 13, but decreased two-fold or greater for chars 8, 9, 10, 12, 14, and soil control 15. The recovery of the char samples and soil control from the wet-sieving procedure was determined by drying and weighing the sieved particles with size less than 106 μm and the residue greater than 106 μm remaining on the sieve (Additional file 1: Table S3). Statistical analysis was carried out with Student’s t test on the yields obtained by sieving to determine if the proportions of the chars that were smaller in size than 106 μm were correlated with feedstock type, process temperature, steam activation, or high CEC values. Of these, only the feedstock type gave a P value <0.05, with the yield of particles less than 106 μm significantly higher for pine chars compared to peanut chars (see legend of Additional file 1: Table S3 for details of analysis). No correlation between the amount of material lost during sieving due to particle size greater in size than 106 µm following grinding and the CEC values following sieving was apparent. The range of CEC values that were obtained for the char samples and the soil control is similar to but wider than that obtained for the archeological black carbon char samples and adjacent soils (Liang et al. 2006) when the CEC values reported here are converted to mmol kg−1 to correspond to the units used for the archeological samples. The range of CEC values that they reported ranged from 26 to 222 mmol kg−1, corresponding to 2.6–22.2 cmol kg−1. They found that the higher CEC values corresponded to higher content of black carbon and higher content of soil nutrients. The results reported here for the CEC values of several modern biochars and a soil control range from −0.5 to 72 cmol kg−1. It is apparent from these results that both the biomass feed stock and the process conditions used to produce a biochar material determine the resultant CEC. This information assists the evaluation of the possible biochar processes for utility in production of soil amendments and carbon sequestration.
As shown in Additional file 1: Table S4, the statistical significance of the differences between the CEC values for the feed stocks and processes (Additional file 1: Table S2) was evaluated using Student’s t Test with Microsoft Excel 2010 software. The significance of the changes in CEC values for ground samples compared to ground and wet sieved with 106 µm cutoff was also evaluated by calculation of P values using Student’s t Test (Additional file 1: Table S5).
In Additional file 1: Figures S9 and S10, it is seen that samples 4, 5, and 6 of the Eprida peanut hull carry many distinct characteristic OH and C=O frequencies (Socrates 1980), as does samples 8 and 9 of the southern yellow pine. In Additional file 1: Figure S11, the FTIR of samples 12 and 13 show loss of the characteristic OH (3500 cm−1) and CH peaks (several peak intensities missing between 1700–800 cm−1).
Galbraith analysis results
Elemental and proximate analysis of biochars was carried out by Galbraith Laboratories, Knoxville, TN
% Loss on drying
% Volatile matter @950 °C
% Fixed carbon (by difference)
C % (mol %)
H % (mol %)
% N (mol %)
O % (mol %)
S % (mol %)
O:C (mol ratio)
Comparison of samples 4, 5, and 6 show that there is a higher O:C ratio for 6. FTIR analysis also shows that there is also qualitatively stronger C=O and OH absorbance than that of 5. It is also interesting to note that the CEC value for 6 is significantly larger (60.1 cmol kg−1), than for 4 and 5 (12.4, and 6.2 cmol kg−1, respectively).
Samples 12 and 13 show similar ash content. Sample 13 has a slightly higher % volatile matter (8.86 % vs. 6.15) than 12, but a lower calculated fixed carbon (67.8 vs. 75.1). However, despite that the %C of 12 and 13 are very similar, 13 has a significant amount of more % O, which calculates to a factor of 1.7 times higher O:C ratio for 13 than 12. This correlates again with the CEC ratio, where 13 has a significantly higher CEC of 66.6 cmol kg−1 and sample 12 ca. 12.0 cmol kg−1. In addition, sample 13 has a larger surface area, ca. 3.3 times that of 12, see below.
Samples 8 and 9, southern yellow pine, have similar values in all the elemental and proximate analyses, with only the % ash being slightly higher for 8, but the resultant O:C ratios for both samples are 0.15:1. It is notable that the CEC values for 8 and 9 are similar, with negative CEC values of ca. −4.7 to −3.8.
BET measurements of biochar samples
Surface area (multipoint BET): m2/g
SEM imaging analysis
The SEM images of biochar samples 4, 5, 6, 8, 9, 12, and 13 were presented in Additional file 1: Figures S1a–S1d. From left to the right, magnification is 5, 50, and 500K. For each biochar sample, SEM images of three randomly selected spots were presented. According to the SEM images, samples 12 and 13 appear containing more porous or “sponge” type of micro/nanometer structures than samples 4, 5, 6, 8, and 9. This observation seems consistent with the results of the BET analysis, where biochar samples 12 and 13 showed very large surface areas as reported above.
Relationship among biochar cation exchange capacity, O:C ratio, and surface area
One of the outliers is the cation exchange capacity value of 63.78 cmol kg−1 with an O:C ratio of 0.129 from sample #13 which is the “active” char that was produced from peanut hull through the Eprida Cross-Draft Process at 500 °C followed by an 800 °C steam activation. As shown in Fig. 5 (bottom), this steam-activated biochar has much larger surface area (about 700 m2/g) than any of the other biochars. This explains why its cation exchange capacity is so high (63.78 cmol kg−1); apparently because CEC in some extent is also dependent on biochar surface area.
When biochar BET surface area was plotted against the O:C ratio (Fig. 5, bottom), we noticed, these two properties seem somewhat inversely related. As the atomistic O:C ratio decreases, biochar BET surface area has a trend to increase. This observation is consistent with the understanding that the low O:C ratio (such as 0.075 in biochar sample #12) was likely resulted from a high pyrolysis temperature (e.g., 950 °C) that favors deoxygenation and gasification of biomass, producing a biochar with somewhat higher surface area (Jindo et al. 2014; Budai et al. 2014; Wang et al. 2013). However, a moderate increase in biochar surface area under this condition apparently does not overweigh (overbalance) the loss of oxygen-containing functional groups due to the thermal deoxygenation of biochar products. Except in the case of steam activation, use of a moderate biomass pyrolysis temperature and/or condition that can retain a relatively higher O:C ratio is more likely to produce a desirable biochar with a higher cation exchange capacity. A similar relationship (trend) between O:C ratio and cation exchange capacity was recently noticed also in a separate study with biochars from a hydrothermal biomass conversion process (Huff et al. 2014).
Under a standard assay condition of pH 8.5, the CEC values of the peanut hull-derived biochar materials (samples 4, 5, 6, 12, 13, and 14) in a range from 6.22 ± 0.64 to 66.56 ± 0.22 cmol kg−1 are significantly higher than those (near zero or negative CEC values) of the southern yellow pine-derived biochars (samples 8, 9, and 10). The biochar (sample 4) produced from the peanut hull through a continuous steam-gasified biochar-making process yielded a CEC value of 12.45 ± 0.17 cmol kg−1, which is similar to that of a standard soil (sample 15). The biochar (sample 5) produced from the peanut hull through Eprida’s H2 continuous feed steam injection biochar-making process resulted in a CEC value of 6.22 ± 0.64 cmol kg−1. Samples 6 and 13, two of the peanut hull-derived biochar materials, were identified as some of the best biochar materials with the highest CEC values of 60.12 ± 0.19 and 66.56 ± 0.22 cmol kg−1, which is about five times higher than the cation exchange capacity (12.51 ± 0.30 cmol kg−1) of a standard soil (sample 15, Milan top soil). The biochar of sample 6 (PNC-B char) was produced from the peanut hull using a batch barrel slow pyrolysis technique mimicking a traditional char-making process without temperature control/monitoring. The biochar of sample 13 (“Active” char) was produced from the peanut hull with a continuous active char-making process, which resulted in an CEC value of 66.56 ± 0.22 cmol kg−1. Surprisingly, the PNC-B biochar produced from a batch barrel retort pyrolysis of peanut hull has much a higher CEC value (60.12 ± 0.19 cmol kg−1) than that (12.45 ± 0.17 cmol kg−1) of the PNC-EP biochar from Eprida’s H2-producing continuous steam-injected char-making process.
These results indicate that CEC value is determined not only by the type of the source biomass materials but also by the pyrolysis conditions. It was also found that the CEC values correlate well with the ratios of the oxygen atoms to the carbon atoms (O:C ratios) in the biochar materials. That is, the higher the O:C, the higher the CEC value. The higher O:C ratio in a biochar material may indicate the presence of more hydroxyl, carboxylate, and carbonyl groups that could contribute to a higher CEC value for the biochar product. In addition, the increase in surface area can also play a role in the increased CEC value of biochar. Although sample 13 (“Active” char) has a smaller O:C ratio than biochar 6 (PNC-B), the increase in surface area apparently also plays a role in increasing its CEC value.
JWL conducted the overall biochar research project, analyzed data, and drafted the manuscript. BH and DD conducted the biochar production processes and co-wrote the description of biochar product samples and their associated production processes. BRE carried out CEC assays, biochar wet sieving, and statistical analysis and co-wrote the manuscript. MKK and ACB conducted the biochar elemental analysis, BET and FTIR measurements and co-wrote the manuscript. All authors read and approved the final manuscript.
The authors wish to thank Sokwon Paik for SEM imaging of biochars; Charles T. Garten, Deanne J. Brice, and Tanya Bunch for their assistance in helping the measurement of cation exchange capacity; and Mac Post and Joe Katz for stimulating discussions. This research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the US Department of Energy, by the US Department of Energy (DOE) Office of Science Young Scientist Award, by the US Presidential Early Career Award for Scientists and Engineers (to J. W. Lee), and by USDA Grant No. 68-3A75-5-233. Part of this research was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility. Oak Ridge National Laboratory is managed by UT-Battelle, LLC, for DOE under contract No. DE-AC05-00OR22725.
A. C. Buchanan: Currently retired at Oak Ridge National Laboratory.
The authors declare that they have no competing interests.
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- Baronti S, Vaccaria FP, Miglietta F, Calzolari C, Lugato E, Orlandini S, Zulian Pini CR, Genesio L (2014) Impact of biochar application on plant water relations in Vitis vinifera (L.). Eur J Agron 53:38–44View ArticleGoogle Scholar
- Bates A 2010) The Biochar solution: carbon farming and climate change (Sustainable Agriculture). New Society Publishers, Vancouver, p 208Google Scholar
- Beesley L, Moreno-Jiménez E, Gomez-Eyles JL (2010) Effects of biochar and greenwaste compost amendments on mobility, bioavailability and toxicity of inorganic and organic contaminants in a multi-element polluted soil. Environ Pollut 158:2282–2287View ArticleGoogle Scholar
- Blackwell P, Krull E, Butler G, Herbert A, Solaiman Z (2010) Effect of banded biochar on dryland wheat production and fertiliser use in south-western Australia: an agronomic and economic perspective. Soil Res 48:531–545View ArticleGoogle Scholar
- Budai A, Wang L, Gronli M, Strand LT, Antal MJ Jr, Abiven S, Dieguez-Alonso A, Anca-Couce A, Rasse DP (2014) Surface properties and chemical composition of corncob and Miscanthus biochars: effects of production temperature and method. J Agric Food Chem 62(17):3791–3799View ArticleGoogle Scholar
- Dai Z, Meng J, Muhammad N, Liu X, Wang H, He Y, Brookes PC, Xu J (2013) The potential feasibility for soil improvement, based on the properties of biochars pyrolyzed from different feedstocks. J Soils Sediments 13:989–1000View ArticleGoogle Scholar
- Das KC, Singh K, Adolphson R, Hawkins B, Oglesby R, Lakly D, Day D (2009) Steam pyrolysis and catalytic steam reforming for hydrogen and biochar production. Appl Eng Agric 26(1):137–146View ArticleGoogle Scholar
- Day DM, Lee JW (2004) The production and use of a soil amendment made by the combined production of hydrogen, sequestered carbon and utilizing off gases containing carbon dioxide. PCT Int Appl 58:WO2004037747 A2Google Scholar
- Day DM, Evans RJ, Lee JW, Reicosky D (2005) Economical CO2, SOx, and NOx capture from fossil-fuel utilization with combined renewable hydrogen production and large-scale carbon sequestration. Energy 30:2558–2579View ArticleGoogle Scholar
- Downie AE, van Zwieten L, Smernik RJ, Morris S, Munroe PR (2011) Terra Preta Australis: reassessing the carbon storage capacity of temperate soils. Agric Ecosyst Environ 140:137–147View ArticleGoogle Scholar
- Energy with Agricultural Carbon Utilization Symposium, held on June 10–11 2004, AthensGoogle Scholar
- Fratini E, Bonini M, Oasmaa A, Solantausta Y, Teixeira J, Balioni P (2006) SANS analysis of the microstructural evolution during the aging of pyrolysis oils from biomass. Langmuir 22:306–312View ArticleGoogle Scholar
- Gundale MJ, Thomas H, DeLuca TH (2007) Charcoal effects on soil solution chemistry and growth of Koeleria macrantha in the ponderosa pine/douglas fir ecosystem. Biol Fertil Soils 43:303–311View ArticleGoogle Scholar
- Huff MD, Kumar S, Lee JW (2014) Comparative analysis of pinewood, peanut shell, and bamboo biomass derived biochars produced via hydrothermal conversion and pyrolysis. J Environ Manage 146:303–308View ArticleGoogle Scholar
- Jindo K, Mizumoto H, Sawada Y, Sanchez-Monedero MA, Sonoki T (2014) Physical and chemical characterization of biochars derived from different agricultural residues. Biogeosciences 11:6613–6621View ArticleGoogle Scholar
- Koper T, Weisberg P, Lennie A, Driver K, Simons H, Rodriguez M, Reed D, Jirka S Gaunt J (2013) Methodology for biochar projects, American Carbon Registry [Online]. americancarbonregistry.org/C-accounting/biochar-public-comment
- Lee JW, Day DM (2013) Smokeless biomass pyrolysis for producing biofuels and biochar as a possible arsenal to control climate change. In: Lee JW (ed) Advanced biofuels and bioproducts, chap 3, vol 1. Springer, New York, pp 23–34View ArticleGoogle Scholar
- Lee JW, Kidder K, Evans BR, Paik S, Buchanan AC, Garten CT, Brown RC (2010a) Characterization of biochars produced from cornstovers for soil amendment and carbon sequestration. Environ Sci Technol 44:7970–7974View ArticleGoogle Scholar
- Lee JW, Hawkins B, Day DM, Reicosky DC (2010b) Sustainability: the capacity of smokeless biomass pyrolysis for energy production, global carbon capture and sequestration. Energy Environ Sci 3(11):1609–1812View ArticleGoogle Scholar
- Lee JW, Hawkins B, Li X, Day DM (2013) Biochar fertilizer for soil amendment and carbon sequestration. In: Lee JW (ed) Advanced biofuels and bioproducts, chap 6, vol 1. Springer, New York, pp 57–68View ArticleGoogle Scholar
- Lehmann J (2007) Commentary: a handful of carbon. Nature 447:143–144View ArticleGoogle Scholar
- Lehmann J, Gaunt J, Rondon M (2006) Bio-char sequestration in terrestrial ecosystems—a review. Mitig Adapt Strateg Glob Chang 11:403–427View ArticleGoogle Scholar
- Lehmannn J, Joseph S (2009) Biochar for environmental management: science and technology. Routledge, London, p 448Google Scholar
- Liang B, Lehmann J, Solomon D, Kinyangi J, Grossman J, O’neill B, Skjemstad JO, Thies J, Luizao FJ, Petersen J, Neves EG (2006) Black carbon increases cation exchange capacity in soils. Soil Soc Am J 70:1719–1730View ArticleGoogle Scholar
- Manahan SE (1999) In: Environmental chemistry, 6th edn. CRC Press, Boca Raton, pp 80–480Google Scholar
- Marris E (2006) Sequestration news feature: black is the new green. Nature 442:624–626View ArticleGoogle Scholar
- Novak JM, Busscher WJ (2013) Selection and use of designer biochars to improve characteristics of southeastern USA coastal plain degraded soils. In: Lee JW (ed) Advanced biofuels and bioproducts, chap 4. Springer, New York, pp 69–96View ArticleGoogle Scholar
- Novak JM, Cantrell KB, Watts DW, Busscher WJ, Johnson MG (2014) Designing relevant biochars as soil amendments using lignocellulosic-based and manure-based feedstocks. J Soils Sediments 14:330–343View ArticleGoogle Scholar
- Singh B, Lynne MM, Kokana RS, van Zwieten L, Butler G, Joseph S, Weatherley A, Kaudal BB, Regan A, Cattle J, Dijkstra F, Boersma M, Kimber S, Keith A, Esfandbod M (2014) Opportunities and constraints for biochar technology in Australian agriculture: looking beyond carbon sequestration. Soil Res 52:739–750View ArticleGoogle Scholar
- Singh R, Babua JN, Rabindra K, Srivastava P, Pardeep S, Akhilesh SR (2015) Multifaceted application of crop residue biochar as a tool for sustainable agriculture: an ecological perspective. Ecol Eng 77:324–347View ArticleGoogle Scholar
- Skjemstad JO, Gillman GP, Massis A, Spouncer LR (2008) The measurement of cation exchange capacity of organic matter fractions from soils using a modified compulsive exchange method. Commun Soil Sci Plant Anal 39(5):926–937View ArticleGoogle Scholar
- Socrates G (1980) Infrared characteristic group frequencies, 2nd edn. Wiley, Chichester, WSGoogle Scholar
- Solomon D, Lehmann J, Thies J, Schafer T, Liang B, Kinyangi J, Neves E, Petersen J, Luizao F, Skjemstad J (2007) Molecular signature and sources of biochemical recalcitrance of organic C in Amazonian dark earths. Geochim Cosmochim Acta 71:2285–2298View ArticleGoogle Scholar
- Spokas KA, Baker JM, Reicosky DC (2010) Ethylene: potential key for biochar amendment impacts. Plant Soil 333:443–452View ArticleGoogle Scholar
- Srinivasan P, Sarmah AK, Smernik R, Das O, Farid M, Gao W (2015) A feasibility study of agricultural and sewage biomass as biochar, bioenergy and biocomposite feedstock: production, characterization and potential applications. Sci Total Environ 512:495–505View ArticleGoogle Scholar
- Topoliantz Stéphanie, Ponge Jean-François, Ballof Sylvain (2005) Manioc peel and charcoal: a potential organic amendment for sustainable soil fertility in the tropics. Biol Fertil Soils 41:15–21View ArticleGoogle Scholar
- Wang Y, Hu Y, Zhao X, Wang S, Xing G (2013) Comparisons of biochar properties from wood material and crop residues at different temperatures and residence times. Energy Fuels 27:5890–5899View ArticleGoogle Scholar
- Windeatt JH, Ross AB, Williams PT, Forster PM, Nahil MA, Singh S (2014) Characteristics of biochars from crop residues: potential for carbon sequestration and soil amendment. J Environ Manage 146:189–197View ArticleGoogle Scholar
- Zhang A, Cui L, Pan G, Li L, Hussain Q, Zhang X, Zheng J, Crowley D (2010) Effect of biochar amendment on yield and methane and nitrous oxide emissions from a rice paddy from Tai Lake plain, China. Agric Ecosyst Environ 139:469–475View ArticleGoogle Scholar
- Zhang QZ, Du ZL, Lou Y, He X (2015) A one-year short-term biochar application improved carbon accumulation in large macroaggregate fractions. Catena 127:26–31View ArticleGoogle Scholar
- Zhao X, Wang J, Wang S, Xing G (2014) Successive straw biochar application as a strategy to sequester carbon and improve fertility: a pot experiment with two rice/wheat rotations in paddy soil. Plant Soil 378:279–294View ArticleGoogle Scholar
- Zhao R, Neil C, Wu J (2015) Carbon mineralization following additions of fresh and aged biochar to an infertile soil. Catena 125:183–189View ArticleGoogle Scholar