Evidence map›Paper›PMID 34389956›Full record

ArticleEnvironmental science and pollution research international2022

Effective adsorptive removal of atrazine herbicide in river waters by a novel hydrochar derived from Prunus serrulata bark.

Matias S Netto, Jordana Georgin, Dison S P Franco, Evandro S Mallmann, Edson Luiz Foletto, Marcelo Godinho, Diana Pinto, Guilherme L Dotto

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

8 authors.

Matias S NettoDepartment of Chemical Engineering, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil.
Jordana GeorginGraduate Program in Civil Engineering, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil.
Dison S P FrancoDepartment of Chemical Engineering, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil.
Evandro S MallmannDepartment of Chemical Engineering, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil.
Edson Luiz FolettoDepartment of Chemical Engineering, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil.
Marcelo GodinhoPostgraduate Program in Engineering Processes and Technology, University of Caxias do Sul - UCS, Caxias do Sul, RS, Brazil.
Diana PintoDepartment of Civil and Environmental, Universidad de la Costa, CUC, Calle 58 # 55-66, Barranquilla, Atlántico, Colombia. dpinto3@cuc.edu.co.
Guilherme L DottoDepartment of Chemical Engineering, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil. guilherme_dotto@yahoo.com.br.ORCID http://orcid.org/0000-0002-4413-8138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, a novel and effective hydrochar was prepared by hydrothermal treatment of Prunus serrulata bark to remove the pesticide atrazine in river waters. The hydrothermal treatment has generated hydrochar with a rough surface and small cavities, favoring the atrazine adsorption. The adsorption equilibrium time was not influenced by different atrazine concentrations used, being reached after 240 min. The Elovich adsorption kinetic model presented the best adjustment to the kinetic data. The Langmuir model presented the greatest compliance to the isotherm data and indicated a higher affinity between atrazine and hydrochar, reaching a maximum adsorption capacity of 63.35 mg g

Indexed as

AtrazineHerbicidesPrunusWater Pollutants, ChemicalAdsorptionHydrogen-Ion ConcentrationKineticsPlant BarkRiversAtrazineHerbicidesWater Pollutants, ChemicalAdsorptionAtrazineHydrocharPrunus serrulataRiver water

Identifiers

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Registered trials

None linked

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.