Evidence map›Paper›PMID 29156618›Full record

ArticleSensors (Basel, Switzerland)2017

Optimized Lateral Flow Immunoassay Reader for the Detection of Infectious Diseases in Developing Countries.

Evdokia Pilavaki, Andreas Demosthenous

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Screening and confirmation tests for SARS-CoV-2: benefits and drawbacks.Beni-Suef University journal of basic and applied sciences · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Magnetic Lateral Flow Immunoassays.Diagnostics (Basel, Switzerland) · 2020
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. 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

2 authors at 1 institution in 1 country.

Evdokia PilavakiDepartment of Electronic and Electrical Engineering, University College London, Torrington Place, WC1E 7JE London, UK. evdokia.pilavaki.13@ucl.ac.uk.
Andreas DemosthenousDepartment of Electronic and Electrical Engineering, University College London, Torrington Place, WC1E 7JE London, UK. a.demosthenous@ucl.ac.uk.ORCID 0000-0003-0623-963X
University College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection and control of infectious diseases is a major problem, especially in developing countries. Lateral flow immunoassays can be used with great success for the detection of infectious diseases. However, for the quantification of their results an electronic reader is required. This paper presents an optimized handheld electronic reader for developing countries. It features a potentially low-cost, low-power, battery-operated device with no added optical accessories. The operation of this proof of concept device is based on measuring the reflected light from the lateral flow immunoassay and translating it into the concentration of the specific analyte of interest. Characterization of the surface of the lateral flow immunoassay has been performed in order to accurately model its response to the incident light. Ray trace simulations have been performed to optimize the system and achieve maximum sensitivity by placing all the components in optimum positions. A microcontroller enables all the signal processing to be performed on the device and a Bluetooth module allows transmission of the results wirelessly to a mobile phone app. Its performance has been validated using lateral flow immunoassays with influenza A nucleoprotein in the concentration range of 0.5 ng/mL to 200 ng/mL.

Indexed as

ImmunoassayDeveloping CountriesImmunologic Testsinfectious diseaseslateral flow immunoassaypoint of careray trace simulationreader

Identifiers

PMID29156618
PMCPMC5713649
OpenAlexW2770224571

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.