Evidence map›Paper›PMID 36645184›Full record

ArticleThe Analyst2023

Smartphone-read phage lateral flow assay for point-of-care detection of infection.

Maede Chabi, Binh Vu, Kristen Brosamer, Maxwell Smith, Dimple Chavan, Jacinta C Conrad, Richard C Willson, Katerina Kourentzi

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in The Analyst, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Optical lateral flow assays in early diagnosis of SARS-CoV-2 infection.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

Maede ChabiDepartment of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA. willson@uh.edu.
Binh VuDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA. jcconrad@uh.edu.
Kristen BrosamerDepartment of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA. willson@uh.edu.
Maxwell SmithDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA. jcconrad@uh.edu.
Dimple ChavanDepartment of Biology and Biochemistry, University of Houston, Houston, Texas 77204, USA.ORCID http://orcid.org/0000-0001-9942-6367
Jacinta C ConradDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA. jcconrad@uh.edu.ORCID http://orcid.org/0000-0001-6084-4772
Richard C WillsonDepartment of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA. willson@uh.edu.ORCID http://orcid.org/0000-0002-0900-6148
Katerina KourentziDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA. jcconrad@uh.edu.ORCID http://orcid.org/0000-0001-5891-6415
University of Houston · US

Funding

Novel Point of Care assays for Urinary Diagnostics of NephritisR01AR072742 · NIAMS · UNIVERSITY OF HOUSTON · PI MOHAN, CHANDRA, WILLSON, RICHARD · 2017 to 2020
$1.3M
Smartphone-based POC Testing for HIV Using Glowstick ChemistryR61AI174294 · NIAID · UNIVERSITY OF HOUSTON · PI WILLSON, RICHARD · 2023 to 2025
$1.3M
NIAID NIH HHS R61 AI174294NIAMS NIH HHS R01 AR072742
6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted the urgent need for sensitive, affordable, and widely accessible testing at the point of care. Here we demonstrate a new, universal LFA platform technology using M13 phage conjugated with antibodies and HRP enzymes that offers high analytical sensitivity and excellent performance in a complex clinical matrix. We also report its complete integration into a sensitive chemiluminescence-based smartphone-readable lateral flow assay for the detection of SARS-CoV-2 nucleoprotein. We screened 84 anti-nucleoprotein monoclonal antibody pairs in phage LFA and identified an antibody pair that gave an LoD of 25 pg mL

Indexed as

BacteriophagesCOVID-19AntibodiesHumansPandemicsPoint-of-Care SystemsPoint-of-Care TestingSARS-CoV-2Sensitivity and SpecificitySmartphoneAntibodies

Identifiers

PMID36645184
PMCPMC10503656
OpenAlexW4313555913

What OpenQuestion holds

Textmetadata
LicenceTDM
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.