Comprehensive Characterization of Carbonaceous Material Derived from Rice Husk Pyrolysis and Its Potential for CO

Santiago Mesa, Javier Ricardo Castro-Ladino, Sandra Liliana Amaya, Cecilia Manrique, Adriana Echavarría, Dora A Hoyos-Ayala, Laura Uran

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In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

The Use of Artificial Neural Networks to Model Selected Strength Parameters of the Giant Miscanthus Stalk.Materials (Basel, Switzerland) · 2026
Article

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

7 authors.

Santiago MesaGrupo de Catalizadores y Adsorbentes (CATALAD), Instituto de Química, Facultad de Ciencias, Exactas y Naturales (FCEN), Universidad de Antioquia UdeA, Cl. 70, No. 52-21, Medellín 050010, Colombia.

Javier Ricardo Castro-LadinoGrupo de Investigación en Tecnologías Emergentes (GITEM), Universidad de los Llanos, Villavicencio 500001, Colombia.ORCID 0000-0003-2961-2732

Sandra Liliana AmayaGrupo de Investigación e Innovación en Energía (GIIEN), Institución Universitaria Pascual Bravo, Facultad de Ingeniería, Cl. 73, No. 73a-226, Medellín 050034, Colombia.ORCID 0000-0002-5894-2282

Cecilia ManriqueGrupo de Catalizadores y Adsorbentes (CATALAD), Instituto de Química, Facultad de Ciencias, Exactas y Naturales (FCEN), Universidad de Antioquia UdeA, Cl. 70, No. 52-21, Medellín 050010, Colombia.ORCID 0000-0002-7218-5804

Adriana EchavarríaGrupo de Catalizadores y Adsorbentes (CATALAD), Instituto de Química, Facultad de Ciencias, Exactas y Naturales (FCEN), Universidad de Antioquia UdeA, Cl. 70, No. 52-21, Medellín 050010, Colombia.

Dora A Hoyos-AyalaGrupo de Catalizadores y Adsorbentes (CATALAD), Instituto de Química, Facultad de Ciencias, Exactas y Naturales (FCEN), Universidad de Antioquia UdeA, Cl. 70, No. 52-21, Medellín 050010, Colombia.

Laura UranGrupo de Catalizadores y Adsorbentes (CATALAD), Instituto de Química, Facultad de Ciencias, Exactas y Naturales (FCEN), Universidad de Antioquia UdeA, Cl. 70, No. 52-21, Medellín 050010, Colombia.

Funding

Minciencias 890

6 · The paper itself

Abstract

In this study, a carbonaceous material was obtained from the thermal decomposition of a non-pretreated rice husk in a pyrolysis system with controlled nitrogen at 700, 800, 900, and 1000 °C. The characterization of the material was performed using various analytical techniques. The results of these characterizations indicate that the obtained carbonaceous material can achieve a surface area of 450 m

Indexed as

carbonaceous materialCO2 adsorptionoxygenated function grouppyrolysisrice husk

Identifiers

PMID41303996

DOI10.3390/ma18225151

PMCPMC12654578

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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.