Evidence map›Paper›PMID 39000622›Full record

ArticlePolymers2024

Sustainable Lignin-Reinforced Chitosan Membranes for Efficient Cr(VI) Water Remediation.

Ana S Castro, Bárbara D D Cruz, Daniela M Correia, Senentxu Lanceros-Méndez, Pedro M Martins

Abstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Ana S CastroCentre of Chemistry, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0002-2738-8776
Bárbara D D CruzCentre of Chemistry, University of Minho, 4710-057 Braga, Portugal.
Daniela M CorreiaCentre of Chemistry, University of Minho, 4710-057 Braga, Portugal.
Senentxu Lanceros-MéndezPhysics Centre of Minho and Porto Universities (CF-UM-UP), Laboratory of Physics for Materials and Emergent Technologies, LapMET, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0001-6791-7620
Pedro M MartinsInstitute of Science and Innovation on Bio-Sustainability (IB-S), University of Minho, 4710-057 Braga, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pollution of aquatic environments is a growing problem linked to population growth and intense anthropogenic activities. Because of their potential impact on human health and the environment, special attention is paid to contaminants of emerging concern, namely heavy metals. Thus, this work proposes the use of naturally derived materials capable of adsorbing chromium (VI) (Cr(VI)), a contaminant known for its potential toxicity and carcinogenic effects, providing a sustainable alternative for water remediation. For this purpose, membranes based on chitosan (CS) and chitosan/Kraft lignin (CS/KL) with different percentages of lignin (0.01 and 0.05 g) were developed using the solvent casting technique. The introduction of lignin imparts mechanical strength and reduces swelling in pristine chitosan. The CS and CS/0.01 KL membranes performed excellently, removing Cr(VI) at an initial 5 mg/L concentration. After 5 h of contact time, they showed about 100% removal. The adsorption process was analyzed using the pseudo-first-order model, and the interaction between the polymer matrix and the contaminant was attributed to electrostatic interactions. Therefore, CS and CS/KL membranes could be low-cost and efficient adsorbents for heavy metals in wastewater treatment applications.

Indexed as

adsorptionchitosan/ligninchromiumenvironmental remediationmembranessustainable biopolymers

Identifiers

PMID39000622
PMCPMC11243881

What OpenQuestion holds

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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.