Evidence map›Paper›PMID 36119983›Full record

ArticleACS omega2022

Preparation and Characterization of Pulp and Paper Mill Sludge-Activated Biochars Using Alkaline Activation: A Box-Behnken Design Approach.

Glaydson Simões Dos Reis, Davide Bergna, Sari Tuomikoski, Alejandro Grimm, Eder Claudio Lima, Mikael Thyrel, Nils Skoglund, Ulla Lassi, Sylvia H Larsson

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Article in ACS omega, 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.

  1. Review
  2. Article
  3. Article
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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

9 authors.

Glaydson Simões Dos ReisDepartment of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Biomass Technology Centre, SE-901 83 Umeå, Sweden.ORCID https://orcid.org/0000-0001-8727-9793
Davide BergnaResearch Unit of Sustainable Chemistry, University of Oulu, PO Box 4300, FI-90014 Oulu, Finland.
Sari TuomikoskiResearch Unit of Sustainable Chemistry, University of Oulu, PO Box 4300, FI-90014 Oulu, Finland.
Alejandro GrimmDepartment of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Biomass Technology Centre, SE-901 83 Umeå, Sweden.ORCID https://orcid.org/0000-0001-8502-8069
Eder Claudio LimaInstitute of Chemistry, Federal University of Rio Grande do Sul (UFRGS), Av. Bento Gonçalves 9500, Porto Alegre 91501-970, RS, Brazil.
Mikael ThyrelDepartment of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Biomass Technology Centre, SE-901 83 Umeå, Sweden.
Nils SkoglundThermochemical Energy Conversion Laboratory, Department of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden.ORCID https://orcid.org/0000-0002-5777-9241
Ulla LassiResearch Unit of Sustainable Chemistry, University of Oulu, PO Box 4300, FI-90014 Oulu, Finland.
Sylvia H LarssonDepartment of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Biomass Technology Centre, SE-901 83 Umeå, Sweden.ORCID https://orcid.org/0000-0001-5647-3630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study utilized pulp and paper mill sludge as a carbon source to produce activated biochar adsorbents. The response surface methodology (RSM) application for predicting and optimizing the activated biochar preparation conditions was investigated. Biochars were prepared based on a Box-Behnken design (BBD) approach with three independent factors (i.e., pyrolysis temperature, holding time, and KOH:biomass ratio), and the responses evaluated were specific surface area (SSA), micropore area (

Identifiers

PMID36119983
PMCPMC9476204

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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.