Evidence map›Paper›PMID 33393560›Full record

ArticleThe Analyst2021

Redox cycling-based detection of phenazine metabolites secreted from Pseudomonas aeruginosa in nanopore electrode arrays.

Hyein Do, Seung-Ryong Kwon, Seol Baek, Chinedu S Madukoma, Marina K Smiley, Lars E Dietrich, Joshua D Shrout, Paul W Bohn

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 31% of its field
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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Electrochemical Sensors Based on MoSAdvanced healthcare materials · 2022
    Article
  3. Review
  4. 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

8 authors at 2 institutions in 2 countries.

Hyein DoDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA. pbohn@nd.edu.
Seung-Ryong Kwon
Seol Baek
Chinedu S Madukoma
Marina K Smiley
Lars E Dietrich
Joshua D Shrout
Paul W Bohn
University of Notre Dame · USColumbia University · US

Funding

Integration of redox-balancing mechanisms in Pseudomonas aeruginosa biofilmsR01AI103369 · NIAID · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DIETRICH, LARS · 2013 to 2022
$4.1M
NIAID NIH HHS R01 AI103369
6 · The paper itself

Abstract

The opportunistic pathogen Pseudomonas aeruginosa (P. aeruginosa) produces several redox-active phenazine metabolites, including pyocyanin (PYO) and phenazine-1-carboxamide (PCN), which are electron carrier molecules that also aid in virulence. In particular, PYO is an exclusive metabolite produced by P. aeruginosa, which acts as a virulence factor in hospital-acquired infections and is therefore a good biomarker for identifying early stage colonization by this pathogen. Here, we describe the use of nanopore electrode arrays (NEAs) exhibiting metal-insulator-metal ring electrode architectures for enhanced detection of these phenazine metabolites. The size of the nanopores allows phenazine metabolites to freely diffuse into the interior and access the working electrodes, while the bacteria are excluded. Consequently, highly efficient redox cycling reactions in the NEAs can be accessed by free diffusion unhindered by the presence of bacteria. This strategy yields low limits of detection, i.e. 10.5 and 20.7 nM for PYO and PCN, respectively, values far below single molecule pore occupancy, e.g. at 10.5 nM 〈n

Indexed as

NanoporesPseudomonas aeruginosaElectrodesOxidation-ReductionPhenazinesPyocyaninePhenazinesPyocyanine

Identifiers

PMID33393560
PMCPMC7937416
OpenAlexW3111230476

What OpenQuestion holds

Textmetadata
LicenceTDM
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.