Cited by 23Soil Carbon and Nitrogen DynamicsThermochemical Biomass Conversion ProcessesFire effects on ecosystems

A critical re‐analysis of biochar properties prediction from production parameters and elemental analysis

Open access
Lebrun Thauront, Johanne, Soja, Gerhard, Schmidt, Hans‐Peter, Abiven, Samuel·2024·GCB Bioenergy

Abstract

Abstract Biochar is the product of intentional pyrolysis of organic feedstocks. It is made under controlled conditions in order to achieve desired physico‐chemical characteristics. These characteristics ultimately affect biochar properties as a soil amendment. When biochar is used for carbon storage, an important property is its persistence in soil, often described by the proportion of biochar carbon remaining in soil after a 100 years (). We analyzed published data on 1230 biochars to re‐evaluate the effect of pyrolysis parameters on biochar characteristics and the possibility to predict from the maximum temperature reached during pyrolysis (HTT). We showed that biochar ash and nitrogen (N) contents were mostly affected by feedstock type. The oxygen to carbon (O:C) and hydrogen to carbon (H:C) ratios were mostly affected by the extent of pyrolysis (a combination of HTT and pyrolysis duration), except for non (ligno)cellulosic feedstocks (plastic waste, sewage sludge). The volatile matter (VM) content was affected by both feedstock type and the extent of pyrolysis. We demonstrated that HTT is the main driver of H:C ‐‐ an indicator of persistence ‐‐ but that it is not measured accurately enough to precisely predict H:C, let alone persistence. We examined the equations to estimate available in the literature and showed that calculated from HTT presented little agreement with calculated from H:C. The sign and magnitude of the bias depended on the equation used to calculate and the dispersion was usually large. This could lead to improper compensation of carbon emissions and wrong reporting of carbon sinks in national carbon accounting schemes. We recommend not to use HTT as a predictor for persistence and stress the importance to rapidly develop more accurate proxies of biochar C persistence in soil.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/gcbb.13170

Cites

100 of 100 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The gradual approach is consistent with reduced VC, elevated FC, TSF, and R50, and progressive deoxygenation and aromatization confirmed by FTIR signals between 1280 and 1610 cm-1.

    “This is consistent with its reduced VC, elevated FC, TSF, and R50, and progressive deoxygenation and aromatization confirmed by FTIR signals between 1280 and 1610 cm -1 [104].”

    From Pilot-Scale Slow Pyrolysis, Post-Heat Treatment, and Self-Heating Performance of Biochar Fuels Derived from Construction, Renovation, and Demolition (CRD) Wood Waste (2026) · cites this paper as [104]

    Section 3.2 links the extent of pyrolysis to volatile matter and to more aromatic, reduced biochar, supporting part of the claim. The paper does not establish elevated fixed carbon, TSF or R50 for the material in question, or report FTIR signals at 1280–1610 cm⁻¹ as confirmation. Page numbers were not available in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Moisture buffers thermal stress by inhibiting oxygen diffusion, though excessive levels risk biological oxidation.

    “Moisture buffers thermal stress by inhibiting oxygen diffusion, though excessive levels risk biological oxidation [104,108,114].”

    From Pilot-Scale Slow Pyrolysis, Post-Heat Treatment, and Self-Heating Performance of Biochar Fuels Derived from Construction, Renovation, and Demolition (CRD) Wood Waste (2026) · cites this paper as [104]

    Section 3.3 discusses moisture uptake during cooling and storage as a source of error in elemental analysis. The Introduction discusses microbial oxidation in relation to biochar composition, not moisture. Searches for moisture, oxygen diffusion, thermal stress, and biological oxidation found no passage addressing the claimed protective effect or risk from excessive moisture; page numbers were not available in our copy. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

17 of the 117 references couldn’t be matched to a known paper.

Research works printed but not linked: 7

  1. Gaunt, J., & Cowie, A. (2009). Biochar, greenhouse gas account- ing and emissions trading. In J. Lehmann & S. Joseph (Eds.), Biochar for environmental management-Science and technol- ogy (1st ed., p. 405). Earthscan.
  2. In H. Lee & J. Romero (Eds.), Climate change 2023: Synthesis report (Core Writing Team). Author. https:// www. unep. org/ resou rces/ report/ clima te-chang e-2023-synth esis-report
  3. Koufopanos, C. A., Papayannakos, N., Maschio, G., & Lucchesi, A. (1991). Studies on kinetics, thermal and heat transfer effects. The Canadian Journal of Chemical Engineering, 69, 907-915.
  4. Lange, S. F., Allaire, S. E., Charles, A., Auclair, I. K., & Bajzak, C. E. (2018). Physicochemical properties of 43 biochars. Université Laval and GECA Environment. https:// doi. org/ 10. 13140/ RG.2. 2. 25450. 41924 · DOI
  5. Novak, J., Lima, I., Xing, B., Gaskin, J., Steiner, C., Das, K., & Busscher, W. (2009). Characterization of designer biochar pro- duced at different temperatures and their effects on a loamy sand. Annals of Environmental Science, 3(1), 195-206.
  6. Wilcox, R. R. (1998). A note on the Theil-Sen regression estimator when the Regressor is random and the error term is heterosce- dastic. Biometrical Journal, 40(3), 261-268.
  7. Wilcox, R. R., & Clark, F. (2013). Robust regression estimators when there are tied values. Journal of Modern Applied Statistical Methods, 12(2), 20-34. https:// doi. org/ 10. 22237/ jmasm/ 13832 78520 · DOI

Cited by

Sorted by citations

Authors
Lebrun Thauront, J., Soja, G., Schmidt, H., & Abiven, S.
Affiliations
  • Laboratoire de Géologie École Normale Supérieure‐PSL, CNRS, IPSL Paris France
  • AIT Austrian Institute of Technology GmbH (AT)
  • Ithaka Institute for Carbon Strategies (CH)
  • Centre National de la Recherche Scientifique (FR)
Venue
GCB Bioenergy
Publisher
Wiley
Published
2024-10-04
Volume
16
Issue
11
ISSN
  • 1757-1693 (ISSN-L)
  • 1757-1707
OpenAlex
W4403158430
Cited by
15
References
117
Citations by year
2026: 7 · 2025: 8
FWCI
3.33
Type
journal article
Language
en
Open access
Locations
  • GCB Bioenergy (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Centre National de la Recherche Scientifique
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Physical Sciences › Engineering › Biomedical Engineering › Thermochemical Biomass Conversion Processes
  • Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
Keywords
biochar, pyrolysis temperature, soil carbon storage, H/C ratio, O/C ratio, feedstock type, pyrolysis duration, volatile matter, carbon accounting, sewage sludge, plastic waste, soil amendment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review