Evidence map›Paper›PMID 41776216›Full record

ArticleScientific reports2026

Properties and nitrate leaching mitigation effect of thermally treated biomass-a case study of tropical and subtropical islands.

Kosuke Hamada, Satoshi Nakamura, Takahiro Yoshida

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kosuke HamadaTropical Agriculture Research Front, International Research Center for Agricultural Sciences, Okinawa, Japan. hamadak0454@jircas.go.jp.ORCID http://orcid.org/0000-0003-4282-8677
Satoshi NakamuraCrop, Livestock and Environmental Division, International Research Center for Agricultural Sciences, Tsukuba, Japan.ORCID http://orcid.org/0000-0002-0952-5618
Takahiro YoshidaForest Research and Management Organization, Tsukuba, Japan.ORCID http://orcid.org/0000-0001-7389-0698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed the properties of thermally treated biomass including torrefied biomass and biochar and their effect on nitrate leaching mitigation. The raw biomass materials were derived from herbaceous sugarcane residue (bagasse) and woody Alexandrian laurel, which are common feedstocks in subtropical and tropical islands. The biomass materials were treated at various temperatures ranging from 220 to 800 °C. Nitrate adsorption capacity and mitigation effect on nitrate leaching when it was applied in acidic soil were evaluated. We observed typical changes in the yield and functional groups of the thermally treated biomass with increasing treatment temperature. Nitrate adsorption tended to occur with 200-300 °C materials at a rate of approximately 3.0-7.0%. Nitrate leaching decreased only with the 800 °C material, with a mitigation rate of 30%. The experiments and multiple regression analysis revealed that the low pH and hydrophilicity of materials < 300 °C positively affected nitrate adsorption, whereas the high surface area of the 800 °C material significantly reduced nitrate leaching. Further investigation of the long-term effects of thermally treated biomass application at different treatment temperatures is necessary to reduce the nitrate leaching on subtropical and tropical islands.

Indexed as

BiomassNitratesAdsorptionCharcoalHot TemperatureHydrogen-Ion ConcentrationIslandsSoilTemperatureTropical ClimatebiocharCharcoalNitratesSoilAcidic soilBiocharNitrate adsorptionNitrate leachingTorrefied biomass

Identifiers

PMID41776216
PMCPMC13066427

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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.