Evidence map›Paper›PMID 34637444›Full record

ArticlePloS one2021

High surface area nitrogen-functionalized Ni nanozymes for efficient peroxidase-like catalytic activity.

Anuja Tripathi, Kenneth D Harris, Anastasia L Elias

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Anuja TripathiNational Research Council Canada, Nanotechnology Research Centre, Edmonton, Edmonton, Canada.ORCID 0000-0002-0950-1763
Kenneth D HarrisNational Research Council Canada, Nanotechnology Research Centre, Edmonton, Edmonton, Canada.
Anastasia L EliasDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada.ORCID 0000-0002-6737-0271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen-functionalization is an effective means of improving the catalytic performances of nanozymes. In the present work, plasma-assisted nitrogen modification of nanocolumnar Ni GLAD films was performed using an ammonia plasma, resulting in an improvement in the peroxidase-like catalytic performance of the porous, nanostructured Ni films. The plasma-treated nanozymes were characterized by TEM, SEM, XRD, and XPS, revealing a nitrogen-rich surface composition. Increased surface wettability was observed after ammonia plasma treatment, and the resulting nitrogen-functionalized Ni GLAD films presented dramatically enhanced peroxidase-like catalytic activity. The optimal time for plasma treatment was determined to be 120 s; when used to catalyze the oxidation of the colorimetric substrate TMB in the presence of H2O2, Ni films subjected to 120 s of plasma treatment yielded a much higher maximum reaction velocity (3.7⊆10-8 M/s vs. 2.3⊆10-8 M/s) and lower Michaelis-Menten coefficient (0.17 mM vs. 0.23 mM) than pristine Ni films with the same morphology. Additionally, we demonstrate the application of the nanozyme in a gravity-driven, continuous catalytic reaction device. Such a controllable plasma treatment strategy may open a new door toward surface-functionalized nanozymes with improved catalytic performance and potential applications in flow-driven point-of-care devices.

Indexed as

AmmoniaAntioxidantsBiocatalysisCatalysisColorimetryColoring AgentsHydrogen PeroxideNanostructuresNickelNitrogenOxidation-ReductionOxygenPeroxidasePhotoelectron SpectroscopySurface PropertiesAmmoniaAntioxidantsColoring AgentsHydrogen PeroxideNickelNitrogenOxygenPeroxidase

Identifiers

PMID34637444
PMCPMC8509884

What OpenQuestion holds

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Registered trials

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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.