ArticleInternational journal of molecular sciences2024
Plastic-Degrading Microbial Consortia from a Wastewater Treatment Plant.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Mesolens imaging in microbiology.Essays in biochemistry · 2026Review
- Plastic-Degrading Microorganisms: Biodegradation Pathways and Habitat Origins.Molecules (Basel, Switzerland) · 2026Review
- Advances, opportunities, and challenges in microbial community construction: from environmental remediation to biomanufacturing.Archives of microbiology · 2026Review
- Enzymatic and microbial routes to bioplastics: The green chemistry frontier of biopolymers.FEBS open bio · 2026Review
- Next-generation strategies for PLA degradation: microbial consortia, metagenomics, enzyme engineering and AI-guided approaches.Archives of microbiology · 2026Review
- Highly Efficient Biodegradation of Postconsumer Polylactic Acid Waste: The First Report onInternational journal of microbiology · 2026Article
- Advances in microplastic mitigation: current progress and future directions.Archives of microbiology · 2025Review
- Machine learning reveals microbial interactions driving plastic degradation across plastisphere environments.Frontiers in microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Plastic waste pollution has become a global crisis, with millions of tons of plastic expected to accumulate in landfills and in natural environments, posing a serious threat to wildlife and human health. As current recycling methods remain inefficient, there is an urgent need for innovative enzymatic solutions to break down plastics and enable a circular economy approach. In this study, we explore the plastic-degrading potential of microorganisms enriched from activated sludge (AS) sourced from a municipal wastewater treatment plant (WWTP)-a known microplastic-contaminated industrial niche. Five microbial consortia (i.e., microbiomes) were enriched under selective pressure using low-carbon conditions and high concentrations of polyester polymers, including post-consumer PET, post-consumer PLA, and virgin PLA. Enrichment was performed for 100 days at 37 °C and 50 °C, followed by microbiomes isolation and metagenomic analysis to identify plastic-active bacteria and their enzymes. The results revealed that PLA polymers, but not post-consumer PET, were effectively degraded by the microbiomes, as confirmed by nuclear magnetic resonance (NMR) and gel permeation chromatography (GPC), showing significant molecular weight reduction compared to the abiotic controls. Microbial community analysis highlighted a distinct enrichment profile driven by the polymer composition and the temperature. At 50 °C, the
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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.