Evidence map›Paper›PMID 40967907›Full record

ArticleJournal of microbiology and biotechnology2025

Enhanced Anaerobic Biodegradation and Biomethane Production from Bioplastics by the Addition of Aerobically Prepared Triacylglycerol Lipase.

Jinok Oh, Jeong Hyeon Hwang, Yebin Han, Gaeun Lim, Sang Ho Lee, Jae-Seok Kim, Shashi Kant Bhatia, Yung-Hun Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of microbiology and biotechnology, 2025. 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

8 authors.

Jinok OhAdvanced Materials Program, Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Jeong Hyeon HwangAdvanced Materials Program, Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Yebin HanAdvanced Materials Program, Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Gaeun LimAdvanced Materials Program, Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Sang Ho LeeDepartment of Pharmacy, College of Pharmacy, Jeju National University, Jeju 63243, Republic of Korea.
Jae-Seok KimDepartment of Laboratory Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul 05355, Republic of Korea.
Shashi Kant BhatiaAdvanced Materials Program, Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Yung-Hun YangAdvanced Materials Program, Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to overcome the limited biodegradability of bioplastics under anaerobic conditions. With polycaprolactone (PCL) as a model system, the effect of a bioplastic-degrading enzyme, triacylglycerol lipase (TGL), on its degradation and biomethane production was investigated. As the PCL film did not show evidence of any degradation over 14 days under anaerobic conditions in the sludge, TGL from

Indexed as

Biodegradable PlasticsLipaseMethaneAnaerobiosisBacillusBiodegradation, EnvironmentalPolyestersSewageBiodegradable PlasticsLipaseMethanepolycaprolactonePolyestersSewageAnaerobic degradationbiomethaneenzymatic treatmentpolycaprolactonesludgetriacylglycerol lipase

Identifiers

PMID40967907
PMCPMC12463561

What OpenQuestion holds

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Registered trials

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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.