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Toward the Standardization of Biochar Analysis: The COST Action TD1107 Interlaboratory Comparison
Author(s) -
Hans Bachmann,
Thomas D. Bucheli,
Alba Dieguez-Alonso,
Daniele Fabbri,
Heike Knicker,
HansPeter Schmidt,
Axel Ulbricht,
Roland Becker,
Alessandro Buscaroli,
Diane Buerge,
Andrew Cross,
Dane Dickinson,
Akio Enders,
Valdemar I. Esteves,
Michael W.H. Evangelou,
Guido Fellet,
Kevin Friedrich,
Gabriel Gascó Guerrero,
Bruno Glaser,
Ulrich M. Hanke,
Kelly Hanley,
Isabel Hilber,
Dimitrios Kalderis,
Jens Leifeld,
Ondřej Mašek,
Jan Mumme,
M. Paneque Carmona,
Roberto Calvelo Pereira,
Frédéric Rees,
Alessandro G. Rombolà,
José M. de la Rosa Arranz,
Ruben Sakrabani,
Saran Sohi,
Gerhard Soja,
M. Valagussa,
Frank Verheijen,
Franz Zehetner
Publication year - 2015
Publication title -
journal of agricultural and food chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.203
H-Index - 297
eISSN - 1520-5118
pISSN - 0021-8561
DOI - 10.1021/acs.jafc.5b05055
Subject(s) - biochar , reproducibility , repeatability , pyrolysis , comparability , amendment , standardization , environmental science , environmental chemistry , chemistry , computer science , chromatography , mathematics , organic chemistry , political science , law , operating system , combinatorics
Biochar produced by pyrolysis of organic residues is increasingly used for soil amendment and many other applications. However, analytical methods for its physical and chemical characterization are yet far from being specifically adapted, optimized, and standardized. Therefore, COST Action TD1107 conducted an interlaboratory comparison in which 22 laboratories from 12 countries analyzed three different types of biochar for 38 physical-chemical parameters (macro- and microelements, heavy metals, polycyclic aromatic hydrocarbons, pH, electrical conductivity, and specific surface area) with their preferential methods. The data were evaluated in detail using professional interlaboratory testing software. Whereas intralaboratory repeatability was generally good or at least acceptable, interlaboratory reproducibility was mostly not (20% < mean reproducibility standard deviation < 460%). This paper contributes to better comparability of biochar data published already and provides recommendations to improve and harmonize specific methods for biochar analysis in the future.

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