Evidence map›Paper›PMID 42394848›Full record

ReviewmLife2026

Harnessing microbial power to degrade hydrocarbon-based plastics.

Hui Li, Xuanyu Tao, Lina Sun, Aifen Zhou, Jizhong Zhou

Abstract readReview
In one paragraph

Review in mLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hui LiInstitute for Environmental Genomics University of Oklahoma Norman Oklahoma USA.
Xuanyu TaoInstitute for Environmental Genomics University of Oklahoma Norman Oklahoma USA.ORCID https://orcid.org/0000-0002-8578-9519
Lina SunInstitute for Environmental Genomics University of Oklahoma Norman Oklahoma USA.
Aifen ZhouDepartment of Chemical Engineering Texas A&M University College Station Texas USA.
Jizhong ZhouInstitute for Environmental Genomics University of Oklahoma Norman Oklahoma USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing global plastic waste crisis demands the development of urgent, effective, and sustainable solutions. While conventional recycling methods present intrinsic limitations, microbial biodegradation of plastic waste has emerged as a promising alternative. In this review, we explore the potential of using microorganisms to degrade major hydrocarbon-based plastic polymers and discuss key aspects of this rapidly advancing field, including (i) isolation and characterization of novel microorganisms and enzymes in hydrocarbon-based plastic biodegradation, (ii) development and streamlining of microbial consortia to improve hydrocarbon-based plastic biodegradation efficiency, and (iii) investigation of natural biodegradation processes to illustrate the relationship between plastic degradation and environmental influence. We highlight practical biotechnological approaches and advanced computational tools in hydrocarbon-based plastic degradation, as hydrocarbon-based plastic represents the highest proportion of plastic waste while still lacking effective conversion strategies. Our ultimate goal is to integrate microbial biodegradation strategies into modern waste-management systems and offer a feasible pathway toward a circular bioeconomy, one in which persistent plastic polymers are no longer treated as waste but are converted into renewable feedstocks that support sustainable resource recovery.

Indexed as

environmental biodegradationhydrocarbon‐based plasticsmicrobial consortiaplastic‐degrading microorganisms/enzymes

Identifiers

PMID42394848
PMCPMC13327627

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.