Evidence map›Paper›PMID 34681915›Full record

ReviewInternational journal of molecular sciences2021

Perspectives on the Role of Enzymatic Biocatalysis for the Degradation of Plastic PET.

Rita P Magalhães, Jorge M Cunha, Sérgio F Sousa

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

3 authors.

Rita P MagalhãesUCIBIO-Applied Molecular Biosciences Unit, BioSIM-Departamento de Biomedicina, Faculdade de Medicina, Universidade do Porto, 4200-319 Porto, Portugal.ORCID 0000-0002-0156-2545
Jorge M CunhaUCIBIO-Applied Molecular Biosciences Unit, BioSIM-Departamento de Biomedicina, Faculdade de Medicina, Universidade do Porto, 4200-319 Porto, Portugal.
Sérgio F SousaUCIBIO-Applied Molecular Biosciences Unit, BioSIM-Departamento de Biomedicina, Faculdade de Medicina, Universidade do Porto, 4200-319 Porto, Portugal.ORCID 0000-0002-6560-5284

Funding

Fundação para a Ciência e Tecnologia 2020.01423.CEECIND/CP1596/CT0003, 2020.09087.BD, UIDP/04378/2020, UIDP/04378/2020
6 · The paper itself

Abstract

Plastics are highly durable and widely used materials. Current methodologies of plastic degradation, elimination, and recycling are flawed. In recent years, biodegradation (the usage of microorganisms for material recycling) has grown as a valid alternative to previously used methods. The evolution of bioengineering techniques and the discovery of novel microorganisms and enzymes with degradation ability have been key. One of the most produced plastics is PET, a long chain polymer of terephthalic acid (TPA) and ethylene glycol (EG) repeating monomers. Many enzymes with PET degradation activity have been discovered, characterized, and engineered in the last few years. However, classification and integrated knowledge of these enzymes are not trivial. Therefore, in this work we present a summary of currently known PET degrading enzymes, focusing on their structural and activity characteristics, and summarizing engineering efforts to improve activity. Although several high potential enzymes have been discovered, further efforts to improve activity and thermal stability are necessary.

Indexed as

BiocatalysisBiodegradation, EnvironmentalEnzymesPlasticsPolyethylene TerephthalatesProtein EngineeringEnzymesPlasticsPolyethylene TerephthalatesbiocatalysisbiodegradationcutinaseIdeonella sakaiensisLCCMHETasePETPETaseplasticplastic degradation

Identifiers

PMID34681915
PMCPMC8540959

What OpenQuestion holds

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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.