Evidence map›Paper›PMID 33920934›Full record

ReviewMaterials (Basel, Switzerland)2021

Nanosensors for Visual Detection of Glucose in Biofluids: Are We Ready for Instrument-Free Home-Testing?

Luca Boselli, Tania Pomili, Paolo Donati, Pier P Pompa

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Article
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  7. Review
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  10. Review
  11. Nanoplasmonic Strip Test for Salivary Glucose Monitoring.Nanomaterials (Basel, Switzerland) · 2021
    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.

Luca BoselliNanobiointeractions and Nanodiagnostics, Italian Institute of Technology (IIT), Via Morego 30, 16163 Genova, Italy.
Tania PomiliNanobiointeractions and Nanodiagnostics, Italian Institute of Technology (IIT), Via Morego 30, 16163 Genova, Italy.
Paolo DonatiNanobiointeractions and Nanodiagnostics, Italian Institute of Technology (IIT), Via Morego 30, 16163 Genova, Italy.
Pier P PompaNanobiointeractions and Nanodiagnostics, Italian Institute of Technology (IIT), Via Morego 30, 16163 Genova, Italy.ORCID 0000-0001-7549-0612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Making frequent large-scale screenings for several diseases economically affordable would represent a real breakthrough in healthcare. One of the most promising routes to pursue such an objective is developing rapid, non-invasive, and cost-effective home-testing devices. As a first step toward a diagnostic revolution, glycemia self-monitoring represents a solid base to start exploring new diagnostic strategies. Glucose self-monitoring is improving people's life quality in recent years; however, current approaches still present vast room for improvement. In most cases, they still involve invasive sampling processes (i.e., finger-prick), quite discomforting for frequent measurements, or implantable devices which are costly and commonly dedicated to selected chronic patients, thus precluding large-scale monitoring. Thanks to their unique physicochemical properties, nanoparticles hold great promises for the development of rapid colorimetric devices. Here, we overview and analyze the main instrument-free nanosensing strategies reported so far for glucose detection, highlighting their advantages/disadvantages in view of their implementation as cost-effective rapid home-testing devices, including the potential use of alternative non-invasive biofluids as samples sources.

Indexed as

colorimetric testglucosehome testinginstrument-freenanosensorsPOC

Identifiers

PMID33920934
PMCPMC8071272

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.