Evidence map›Paper›PMID 34697511›Full record

ReviewTrends in analytical chemistry : TRAC2021

Lateral flow assays (LFA) as an alternative medical diagnosis method for detection of virus species: The intertwine of nanotechnology with sensing strategies.

Poorya Sadeghi, Hessamaddin Sohrabi, Maryam Hejazi, Ali Jahanban-Esfahlan, Behzad Baradaran, Maryam Tohidast, Mir Reza Majidi, Ahad Mokhtarzadeh, Seyed Mohammad Tavangar, Miguel de la Guardia

Abstract readReview
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  5. Aspergillus Mycotoxins: The Major Food Contaminants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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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

10 authors.

Poorya SadeghiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Hessamaddin SohrabiDepartment of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
Maryam HejaziChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ali Jahanban-EsfahlanKidney Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Behzad BaradaranImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Maryam TohidastImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mir Reza MajidiDepartment of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
Ahad MokhtarzadehImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyed Mohammad TavangarDepartment of Pathology, Dr. Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Miguel de la GuardiaDepartment of Analytical Chemistry, University of Valencia, Dr. Moliner 50, 46100, Burjassot, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses are responsible for multiple infections in humans that impose huge health burdens on individuals and populations worldwide. Therefore, numerous diagnostic methods and strategies have been developed for prevention, management, and decreasing the burden of viral diseases, each having its advantages and limitations. Viral infections are commonly detected using serological and nucleic acid-based methods. However, these conventional and clinical approaches have some limitations that can be resolved by implementing other detector devices. Therefore, the search for sensitive, selective, portable, and costless approaches as efficient alternative clinical methods for point of care testing (POCT) analysis has gained much attention in recent years. POCT is one of the ultimate goals in virus detection, and thus, the tests need to be rapid, specific, sensitive, accessible, and user-friendly. In this review, after a brief overview of viruses and their characteristics, the conventional viral detection methods, the clinical approaches, and their advantages and shortcomings are firstly explained. Then, LFA systems working principles, benefits, classification are discussed. Furthermore, the studies regarding designing and employing LFAs in diagnosing different types of viruses, especially SARS-CoV-2 as a main concern worldwide and innovations in the LFAs' approaches and designs, are comprehensively discussed here. Furthermore, several strategies addressed in some studies for overcoming LFA limitations like low sensitivity are reviewed. Numerous techniques are adopted to increase sensitivity and perform quantitative detection. Employing several visualization methods, using different labeling reporters, integrating LFAs with other detection methods to benefit from both LFA and the integrated detection device advantages, and designing unique membranes to increase reagent reactivity, are some of the approaches that are highlighted.

Indexed as

DengueHBVHIVInfluenzaLateral flow assaysPoint of care testingSARS-CoV-2Viral infectionsZika

Identifiers

PMID34697511
PMCPMC8529554

What OpenQuestion holds

Textmetadata
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.