ArticleApplied and environmental microbiology2025
Highly efficient degradation of polybutylene succinate (PBS) and polycaprolactone (PCL) by a recombinant marine fungal cutinase.
Article in Applied and environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Enzymatic Degradation of Polycaprolactone by Cutinase-Producing Bacteria Isolated from Plastic-Contaminated Environments.Applied biochemistry and biotechnology · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Biodegradable plastics, such as polybutylene succinate (PBS) and polycaprolactone (PCL), pose potential ecological risks due to their slow degradation rates in natural environments. Therefore, there is an urgent need to develop efficient enzymatic degradation technologies for the end-of-life management of PBS and PCL. In this study, we identified a marine fungal cutinase,
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Registered trials
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.