Evidence map›Paper›PMID 25393785›Full record

ArticleSensors (Basel, Switzerland)2014

The influence of nanopore dimensions on the electrochemical properties of nanopore arrays studied by impedance spectroscopy.

Krishna Kant, Craig Priest, Joe G Shapter, Dusan Losic

Abstract readEvaluation Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Solid-State Nanopore/Nanochannel Sensing of Single Entities.Topics in current chemistry (Cham) · 2023
    Review
  2. Article
  3. Review
  4. Article
  5. 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

4 authors.

Krishna KantSchool of Chemical and Physical Sciences, Flinders University, Bedford Park, Adelaide, SA 5042, Australia. Krishna.Kant@adelaide.edu.au.
Craig PriestIan Wark Research Institute, University of South Australia, Mawson Lakes, Adelaide, SA 5095, Australia. Craig.priest@unisa.edu.au.
Joe G ShapterSchool of Chemical and Physical Sciences, Flinders University, Bedford Park, Adelaide, SA 5042, Australia. joe.shapter@flinders.edu.au.
Dusan LosicSchool of Chemical Engineering, the University of Adelaide, Adelaide, SA 5005, Australia. Dusan.losic@adelaide.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The understanding of the electrochemical properties of nanopores is the key factor for better understanding their performance and applications for nanopore-based sensing devices. In this study, the influence of pore dimensions of nanoporous alumina (NPA) membranes prepared by an anodization process and their electrochemical properties as a sensing platform using impedance spectroscopy was explored. NPA with four different pore diameters (25 nm, 45 nm and 65 nm) and lengths (5 μm to 20 μm) was used and their electrochemical properties were explored using different concentration of electrolyte solution (NaCl) ranging from 1 to 100 μM. Our results show that the impedance and resistance of nanopores are influenced by the concentration and ion species of electrolytes, while the capacitance is independent of them. It was found that nanopore diameters also have a significant influence on impedance due to changes in the thickness of the double layer inside the pores.

Indexed as

Aluminum OxideConductometryDielectric SpectroscopyElectric ConductivityEquipment DesignEquipment Failure AnalysisMaterials TestingMetal NanoparticlesMicroarray AnalysisNanoporesParticle SizePorosityReproducibility of ResultsSensitivity and SpecificityTransducersAluminum Oxide

Identifiers

PMID25393785
PMCPMC4279535

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.