Evidence map›Paper›PMID 34443648›Full record

ReviewMolecules (Basel, Switzerland)2021

Characterization Techniques as Supporting Tools for the Interpretation of Biochar Adsorption Efficiency in Water Treatment: A Critical Review.

Michele Castiglioni, Luca Rivoira, Irene Ingrando, Massimo Del Bubba, Maria Concetta Bruzzoniti

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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.

Michele CastiglioniDepartment of Chemistry, University of Torino, Via Pietro Giuria 7, 10125 Torino, Italy.ORCID 0000-0002-0775-5970
Luca RivoiraDepartment of Chemistry, University of Torino, Via Pietro Giuria 7, 10125 Torino, Italy.ORCID 0000-0002-5849-1119
Irene IngrandoDepartment of Chemistry, University of Torino, Via Pietro Giuria 7, 10125 Torino, Italy.ORCID 0000-0002-1765-0961
Massimo Del BubbaDepartment of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Italy.ORCID 0000-0002-6326-6549
Maria Concetta BruzzonitiDepartment of Chemistry, University of Torino, Via Pietro Giuria 7, 10125 Torino, Italy.ORCID 0000-0002-9144-9254

Funding

Regione Piemonte 333-201
6 · The paper itself

Abstract

Over the past decade, biochar (BC) has received significant attention in many environmental applications, including water purification, since it is available as a low-cost by-product of the energetic valorisation of biomass. Biochar has many intrinsic characteristics, including its porous structure, which is similar to that of activated carbon (AC), which is the most widely used sorbent in water treatment. The physicochemical and performance characteristics of BCs are usually non-homogenously investigated, with several studies only evaluating limited parameters, depending on the individual perspective of the author. Within this review, we have taken an innovative approach to critically survey the methodologies that are generally used to characterize BCs and ACs to propose a comprehensive and ready-to-use database of protocols. Discussion about the parameters of chars that are usually correlated with adsorption performance in water purification is proposed, and we will also consider the physicochemical properties of pollutants (i.e., K

Indexed as

AdsorptionCharcoalHumansKineticsWaterWater Pollutants, ChemicalWater PurificationbiocharCharcoalWaterWater Pollutants, Chemicalactivated carbonadsorptionbiocharorganic pollutantswater treatment

Identifiers

PMID34443648
PMCPMC8398246

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.