Evidence map›Paper›PMID 39638826›Full record

ArticleScientific reports2024

Surface areas and adsorption energies of biochars estimated from nitrogen and water vapour adsorption isotherms.

Kamil Skic, Agnieszka Adamczuk, Angelika Gryta, Patrycja Boguta, Tibor Tóth, Grzegorz Jozefaciuk

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kamil SkicInstitute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4 str, Lublin, 20-290, Poland. k.skic@ipan.lublin.pl.
Agnieszka AdamczukInstitute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4 str, Lublin, 20-290, Poland.
Angelika GrytaInstitute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4 str, Lublin, 20-290, Poland.
Patrycja BogutaInstitute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4 str, Lublin, 20-290, Poland.
Tibor TóthResearch Institute for Soil Sciences, Centre for Agricultural Research, HUN-REN, Fehérvári út 132-144, Budapest, Hungary.
Grzegorz JozefaciukInstitute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4 str, Lublin, 20-290, Poland.

Funding

National Science Centre, Poland grant no. 2021/43/D/ST10/01656
6 · The paper itself

Abstract

Nitrogen adsorption isotherms, along with the BET model for interpretation, are recommended for estimating biochar surface area. The frequently measured small surface areas of biochars contrast with their high sorption and cation exchange capacities. We hypothesised that water adsorption provides a better tool for estimating the surface area of biochars. Although adsorption energy also appears to be a valuable surface characteristic, there is a lack of studies on this subject. We studied the surface areas and adsorption energies of three waste deposits - peat, willow dust and biochar prepared from these materials at different temperatures - using nitrogen and water vapour adsorption isotherms. The BET model accurately described all water vapour adsorption isotherms but failed for some nitrogen isotherms. Alternative methods for estimating surface areas and adsorption energies were proposed in cases where the BET model did not apply. Nitrogen adsorption was typically much lower than water vapour adsorption, and the estimated surface areas reflected this. However, nitrogen adsorption energies were significantly higher. Nitrogen surface areas increased with pyrolysis temperature, while water vapour surface areas decreased. The surface area estimated from nitrogen adsorption was generally much lower than needed to accommodate the surface-charged groups responsible for the cation exchange capacity of biochars.

Indexed as

Adsorption energyBiocharCation exchange capacityNitrogen adsorption isothermsSurface areaWater vapour adsorption isotherms

Identifiers

PMID39638826
PMCPMC11621813

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.