Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 673

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Biochar stability assessment methods: A review

Leng, Lijian, Huang, Huajun, Li, Hui, Li, Jun, Zhou, Wenguang·2019·Science of The Total Environment

Abstract

Biochar is being developed as a candidate with great potential for climate change mitigation. Sequestering biochar carbon in soil contributes greatly to the reduction of greenhouse gases emissions, and biochar stability is the most decisive factor that determines its carbon sequestration potential. However, methods that can be used universally for direct or indirect assessment of biochar stability are still under investigation. This present review aims to give comprehensive and detailed up-to-date information on the development of biochar stability assessment methods. The method details, advantages and disadvantages, along with the correlations between different methods were reviewed and discussed. Three stability assessment method categories were identified: I) biochar C structure analysis, II) biochar oxidation resistance determination, and III) biochar persistence evaluation by biochar incubation and mineralization rate modelling. Biochar persistence value (e.g., mean residence time, MRT) obtained from incubation and modelling and biochar elemental ratios such as H/Corg and O/Corg are the current most commonly used biochar stability indicators. Incubation and modelling method is too time-consuming while H/Corg and O/Corg ratios are qualitative and conservative, although the effectiveness of these two methods can be further improved. On the other hand, biochar C structures such as aromaticity and degree of aromatic condensation obtained from nuclear magnetic resonance (NMR) analysis and benzene polycarboxylic acids (BPCA) molecular markers and biochar oxidation/degradation recalcitrance obtained from proximate analysis (volatile matter and fixed carbon yields), thermal recalcitrance index (R50), and H2O2- and heat-assisted oxidation (Edinburgh stability tool) are being developed as promising proxies to indicate biochar stability.

Overview

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 · 10.1016/j.scitotenv.2018.07.402

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Show all 20 references

Cited by

See all 673

Metadata

Authors
Leng, L., Huang, H., Li, H., Li, J., & Zhou, W.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2019-01
Volume
647
Pages
210-222
ISSN
0048-9697 (ISSN-L)
OpenAlex
W2887514966
Cited by
673
References
20
FWCI
39.82
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Biochar stability assessment methods: A review. https://app.cochat.ai/papers/10.1016/j.scitotenv.2018.07.402
The paper
Leng, L., Huang, H., Li, H., Li, J., & Zhou, W. (2019). Biochar stability assessment methods: A review. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2018.07.402

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.