Evidence map›Paper›PMID 34771266›Full record

ReviewPolymers2021

Perspective on Nanofiber Electrochemical Sensors: Design of Relative Selectivity Experiments.

Stanley G Feeney, Joelle M J LaFreniere, Jeffrey Mark Halpern

Open access · goldAbstract readReview
In one paragraph

Review in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 at 1 institution in 1 country.

Stanley G FeeneyDepartment of Chemical Engineering, University of New Hampshire, Durham, 03824 NH, USA.
Joelle M J LaFreniereDepartment of Mechanical Engineering, University of New Hampshire, Durham, 03824 NH, USA.
Jeffrey Mark HalpernDepartment of Chemical Engineering, University of New Hampshire, Durham, 03824 NH, USA.ORCID 0000-0003-0814-1986
University of New Hampshire · US

Funding

TLR-TRIF mediated induction of GLI3 modulates innate inflammatory responsesP20GM113131 · NIGMS · UNIVERSITY OF NEW HAMPSHIRE · PI DON Michael WOJCHOWSKI · 2017 to 2026
$22.8M
NIGMS NIH HHS P20 GM113131NIH HHS P20 GM113131
6 · The paper itself

Abstract

The use of nanofibers creates the ability for non-enzymatic sensing in various applications and greatly improves the sensitivity, speed, and accuracy of electrochemical sensors for a wide variety of analytes. The high surface area to volume ratio of the fibers as well as their high porosity, even when compared to other common nanostructures, allows for enhanced electrocatalytic, adsorptive, and analyte-specific recognition mechanisms. Nanofibers have the potential to rival and replace materials used in electrochemical sensing. As more types of nanofibers are developed and tested for new applications, more consistent and refined selectivity experiments are needed. We applied this idea in a review of interferant control experiments and real sample analyses. The goal of this review is to provide guidelines for acceptable nanofiber sensor selectivity experiments with considerations for electrocatalytic, adsorptive, and analyte-specific recognition mechanisms. The intended presented review and guidelines will be of particular use to junior researchers designing their first control experiments, but could be used as a reference for anyone designing selectivity experiments for non-enzymatic sensors including nanofibers. We indicate the importance of testing both interferants in complex media and mechanistic interferants in the selectivity analysis of newly developed nanofiber sensor surfaces.

Indexed as

biosensorschemical sensorselectrochemical sensingnanofibersselectivity experiments

Identifiers

PMID34771266
PMCPMC8588248
OpenAlexW3208756111

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.