Evidence map›Paper›PMID 35869292›Full record

ArticleBioprocess and biosystems engineering2022

A sustainable approach for cotton bioscouring: reuse of the pectate lyase containing treatment bath.

Bruna Lyra Colombi, Marlon David Palozi, Rita de Cássia Siqueira Curto Valle, Jürgen Andreaus, Manuel José Lis Arias, José Alexandre Borges Valle

Abstract read
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In one paragraph

Article in Bioprocess and biosystems engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Bruna Lyra ColombiGraduate Program in Chemical Engineering (PósENQ), Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil. bruna_lyra@hotmail.com.
Marlon David PaloziDepartment of Chemistry, Regional University of Blumenau (FURB), Blumenau, Santa Catarina, Brazil.
Rita de Cássia Siqueira Curto ValleDepartment of Textile Engineering, Federal University of Santa Catarina (UFSC), Blumenau, Santa Catarina, Brazil.
Jürgen AndreausDepartment of Chemistry, Regional University of Blumenau (FURB), Blumenau, Santa Catarina, Brazil. jandr@furb.br.
Manuel José Lis AriasDepartment of Textile Engineering, INTEXTER-UPC, Terrassa, Barcelona, Spain.
José Alexandre Borges ValleGraduate Program in Chemical Engineering (PósENQ), Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 308536/2020-7Conselho Nacional de Desenvolvimento Científico e Tecnológico 313458/2017-0Conselho Nacional de Desenvolvimento Científico e Tecnológico MAIDAI project FURB 2020
6 · The paper itself

Abstract

Enzymatic scouring of cotton has established itself (slowly) as a green alternative to alkaline scouring in the textile industry, mostly due to more environmentally friendly processing at lower pH and temperatures and its less aggressive action on the cotton fibers. However, among other limitations, enzyme costs have contributed to impeding its wide acceptance and use. For the first time, in this study, the recycling of the bioscouring bath was evaluated, unlike most current bioscouring that is performed using fresh enzyme solution. Bioscouring of raw knitted cotton fabric was carried out for 30 min with a commercial pectinase (BioPrep

Indexed as

Polysaccharide-LyasesTextilesCotton FiberPolygalacturonasepectate lyasePolygalacturonasePolysaccharide-LyasesEcological processEnzymatic scouringEnzyme reuseTextile industryWater economy

Identifiers

PMID35869292

What OpenQuestion holds

Textmetadata
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.