JANU, Rainer, Verena MRLIK, Doris RIBITSCH, Jakub HOFMAN, Petr SEDLÁČEK, Lucie BIELSKÁ and G. SOJA. Biochar surface functional groups as affected by biomass feedstock, biochar composition and pyrolysis temperature. Carbon Resources Conversion. KeAi Communications Co., 2021, vol. 4, January 2021, p. 36-46. ISSN 2588-9133. Available from: https://dx.doi.org/10.1016/j.crcon.2021.01.003.
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Basic information
Original name Biochar surface functional groups as affected by biomass feedstock, biochar composition and pyrolysis temperature
Authors JANU, Rainer, Verena MRLIK, Doris RIBITSCH, Jakub HOFMAN (203 Czech Republic, guarantor, belonging to the institution), Petr SEDLÁČEK, Lucie BIELSKÁ (203 Czech Republic, belonging to the institution) and G. SOJA.
Edition Carbon Resources Conversion, KeAi Communications Co. 2021, 2588-9133.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 20402 Chemical process engineering
Country of publisher China
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14310/21:00119708
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1016/j.crcon.2021.01.003
UT WoS 000879182600001
Keywords in English Carbonization; Characterization; DRIFTS; FTIR; Spectroscopy
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 19/1/2023 17:08.
Abstract
By testing 92 different biochars, this study had the objective to determine the relations between simple physico-chemical characteristics of biochar (elemental composition, ash fraction, specific surface area, process parameters) and infrared sorption characteristics revealing the presence of specific functional groups. The results of Diffusive Reflection Fourier Transformation Infrared Spectroscopy were statistically analyzed with multiple linear regression techniques and Principal Component Analysis (PCA) with the biochar characterization parameters as model inputs. The dominant parameters affecting the functional group signals were the pyrolysis temperature, the H/C-ratio and specific surface area of the biochar and the ash fraction. Regression models were able to explain 60–90% of data variance for specific peaks in the DRIFTS-spectra. The application of PCA could further reduce the input parameters to three main factors explaining 70.8% of total data variance. Biplots of the first two main factors showed the similarity of infrared spectra of biochars produced at 300 and 450 °C, whereas a pyrolysis temperature of 600 °C lead to a partial and a 750 °C to a nearly complete loss of biochar surface functional groups.
Links
GF17-33820L, research and development projectName: Conazolové fungicidy a biouhel v půdním prostředí
Investor: Czech Science Foundation
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