Evidence map›Paper›PMID 41358096›Full record

ArticleACS omega2025

Removal of Methylparaben from an Aqueous Medium Using Biochars Derived from Fique Bagasse. Experimental and Theoretical Approach.

Yaned Milena Correa-Navarro, Juan David Rivera-Giraldo, José Mauricio Rodas-Rodríguez, Juan Diego Murcia-Garcia, Richard Alejandro Galviz-Quintero

Abstract read
In one paragraph

Article in ACS omega, 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.

  1. 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

5 authors.

Yaned Milena Correa-NavarroGrupo de Investigación Estudios Ambientales en Agua y Suelo, Departamento de Química, Universidad de Caldas, Calle 65 N° 26-10, Manizales 170004, Colombia.ORCID https://orcid.org/0000-0001-9236-209X
Juan David Rivera-GiraldoGrupo de Investigación Estudios Ambientales en Agua y Suelo, Departamento de Química, Universidad de Caldas, Calle 65 N° 26-10, Manizales 170004, Colombia.ORCID https://orcid.org/0000-0003-1335-5620
José Mauricio Rodas-RodríguezGrupo de Química Teórica y Bioinformática, Departamento de Química, Universidad de Caldas, Calle 65 N° 26-10, Manizales 170004, Colombia.
Juan Diego Murcia-GarciaGrupo de Investigación Estudios Ambientales en Agua y Suelo, Departamento de Química, Universidad de Caldas, Calle 65 N° 26-10, Manizales 170004, Colombia.
Richard Alejandro Galviz-QuinteroGrupo de Química Teórica y Bioinformática, Departamento de Química, Universidad de Caldas, Calle 65 N° 26-10, Manizales 170004, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging pollutants, such as parabens, pose challenges to removal through conventional wastewater treatment and require innovative approaches to remove these contaminants from water. This research evaluated the adsorption of methylparaben onto six biochars derived from fique bagasse. Batch experiments were carried out to investigate adsorption kinetics, equilibrium adsorption, and the influence of solution pH. Results showed that the adsorption capacity decreased at pH values above 6.0 for all evaluated biochars. Kinetic studies revealed that approximately 90% of methylparaben was removed within 10 h, with the pseudo-first-order (PFO) model providing the best fit to the experimental data compared to other tested models. The adsorption process was governed by both internal and external diffusion mechanisms. Equilibrium adsorption data were best described by the Langmuir isotherm, with the adsorption capacity strongly correlated to the specific surface area of the biochars. Maximum adsorption capacities (

Identifiers

PMID41358096
PMCPMC12676299

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Registered trials

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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.