Evidence map›Paper›PMID 36103351›Full record

ArticleAngewandte Chemie (International ed. in English)2022

Microbial Fermentation of Polyethylene Terephthalate (PET) Plastic Waste for the Production of Chemicals or Electricity.

Shafeer Kalathil, Melanie Miller, Erwin Reisner

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Transcriptome data sets ofMicrobiology resource announcements · 2026
    Article
  2. Article
  3. Article
  4. Improvement in the Thermal Stability ofMolecules (Basel, Switzerland) · 2025
    Article
  5. Review
  6. Advancing BiVOMolecules (Basel, Switzerland) · 2024
    Article
  7. Review
  8. Microorganisms · 2023
    Article
  9. Article
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.

Shafeer KalathilYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.ORCID 0000-0002-2001-2100
Melanie MillerYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
Erwin ReisnerYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.ORCID 0000-0002-7781-1616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ideonella sakaiensis (I. sakaiensis) can grow on polyethylene terephthalate (PET) as the major carbon and energy source. Previous work has shown that PET conversion in the presence of oxygen released carbon dioxide and water while yielding adenosine triphosphate (ATP) through oxidative phosphorylation. This study demonstrates that I. sakaiensis is a facultative anaerobe that ferments PET to the feedstock chemicals acetate and ethanol in the absence of oxygen. In addition to PET, the pure monomer ethylene glycol (EG), the intermediate product ethanol, and the carbohydrate fermentation test substance maltose can also serve as fermenting substrates. Co-culturing of I. sakaiensis with the electrogenic and acetate-consuming Geobacter sulfurreducens produced electricity from PET or EG. This newly identified plastic fermentation process by I. sakaiensis provides thus a novel biosynthetic route to produce high-value chemicals or electricity from plastic waste streams.

Indexed as

PlasticsPolyethylene TerephthalatesElectricityEthanolFermentationHydrolasesOxygenEthanolHydrolasesOxygenPlasticsPolyethylene TerephthalatesBiosynthesisElectrosyntrophyFermentationIdeonella SakaiensisPlastic Recycling

Identifiers

PMID36103351
PMCPMC9828132

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.