Evidence map›Paper›PMID 38385297›Full record

ArticleBiomacromolecules2024

High-Quality Cellulosic Fibers Engineered from Cotton-Elastane Textile Waste.

Lorena Villar, Inge Schlapp-Hackl, Pablo B Sánchez, Michael Hummel

Open access · hybridAbstract read
In one paragraph

Article in Biomacromolecules, 2024. 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
4.0field-weighted citation impact, top 6% of its field
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, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  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

4 authors at 2 institutions in 2 countries.

Lorena VillarDepartment of Chemical Engineering, University of Vigo, Vigo 36310, Spain.ORCID 0000-0003-3311-3055
Inge Schlapp-HacklDepartment of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, Espoo 02150, Finland.ORCID 0000-0001-9436-7134
Pablo B SánchezDepartment of Chemical Engineering, University of Vigo, Vigo 36310, Spain.ORCID 0000-0002-0479-9388
Michael HummelDepartment of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, Espoo 02150, Finland.ORCID 0000-0002-6982-031X
Aalto University · FIUniversidade de Vigo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even small amounts of elastane in cotton-elastane blended textiles can prevent fiber-to-fiber recycling strategies in textile recycling. Herein, the selective separation of elastane from cotton blends was addressed by the aminolytic degradation of the synthetic component. Polar aprotic solvents were tested as elastane solvents, but side reactions impeded aminolysis with some of them. Aminolysis of elastane succeeded under mild conditions using dimethyl sulfoxide in combination with diethylenetriamine and 1,5-diazabicyclo[4.3.0]non-5-ene as a cleaving agent and catalyst, respectively. The analysis of the nitrogen content in the recovered cellulose fraction demonstrated that 2 h of reaction at 80 °C reduced the elastane content to values lower than 0.08%. The characterization of the recovered cellulose showed that the applied conditions did not affect the macromolecular properties of cellulose and maintained a cellulose I crystal structure. Degraded elastane products were recovered through precipitation with water. Finally, the cellulosic component was turned into new fibers by dry-jet wet spinning with excellent tensile properties.

Indexed as

Cotton FiberTextilesCelluloseRecyclingSolventsCelluloseSolvents

Identifiers

PMID38385297
PMCPMC10934812
OpenAlexW4392046300

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.