Evidence map›Paper›PMID 33441590›Full record

ArticleScientific reports2021

An absorbance method for analysis of enzymatic degradation kinetics of poly(ethylene terephthalate) films.

En Ze Linda Zhong-Johnson, Christopher A Voigt, Anthony J Sinskey

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
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  9. EngineeringFrontiers in systems biology · 2026
    Article
  10. Disordered N-termini enhance the thermostability of SGNH-hydrolase family polyesterases.Protein science : a publication of the Protein Society · 2026
    Article
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  12. Review
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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.

En Ze Linda Zhong-JohnsonDepartment of Biology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 68-370A, Cambridge, MA, USA.
Christopher A VoigtDepartment of Biological Engineering, Massachusetts Institute of Technology, 500 Technology Square, NE47-140, Cambridge, MA, USA.
Anthony J SinskeyDepartment of Biology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 68-370A, Cambridge, MA, USA. asinskey@mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased interest in poly(ethylene terephthalate) (PET)-degrading enzymes (PETases) have generated efforts to find mutants with improved catalytic activity and thermostability. Here, we present a simple and fast method to determine relative enzyme kinetics through bulk absorbance measurements of released products over time. A thermostable variant of PETase from Ideonella sakaiensis was engineered (R280A S121E D186H N233C S282C) with a denaturation temperature of 69.4 ± 0.3 °C. This was used to assess the method's ability to determine relative enzyme kinetics across variants and reveal structure-function relationships. Measurements at 24 and 72 h at 400 nM of enzyme suggest that the mutations improved catalytic rates 5- to 7-fold. On the contrary, kinetic analyses of the thermostable variant and wild-type reveal different reaction trajectories despite similar maximum catalytic rates, resulting in higher product accumulation from the thermostable variant over time. The results of the assay support the necessity for kinetic measurements to determine relationships between sequence and function for IsPETase and other PET hydrolases.

Indexed as

Bacterial ProteinsBurkholderialesEnzymesEthylenesHydrolasesKineticsPhthalic AcidsPolyethylene TerephthalatesBacterial ProteinsEnzymesEthylenesHydrolasesPhthalic AcidsPolyethylene Terephthalatesterephthalic acid

Identifiers

PMID33441590
PMCPMC7806724

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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.