Evidence map›Paper›PMID 31272058›Full record

ReviewBiosensors & bioelectronics2019

Immunosensor-based label-free and multiplex detection of influenza viruses: State of the art.

Hanyuan Zhang, Benjamin L Miller

Open access · greenAbstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 97 citations in OpenAlex.

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  18. Virus Detection: From State-of-the-Art Laboratories to Smartphone-Based Point-of-Care Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  19. Detection and Prevention of Virus Infection.Advances in experimental medicine and biology · 2022
    Article
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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

2 authors at 2 institutions in 1 country.

Hanyuan ZhangDepartment of Dermatology, University of Rochester Medical Center, 601 Elmwood Avenue Box 697, Rochester, NY, 14642, USA; Materials Science Program, University of Rochester, 500 Joseph C. Wilson Blvd. Box 270216, Rochester, NY, 14627, USA.
Benjamin L MillerDepartment of Dermatology, University of Rochester Medical Center, 601 Elmwood Avenue Box 697, Rochester, NY, 14642, USA; Materials Science Program, University of Rochester, 500 Joseph C. Wilson Blvd. Box 270216, Rochester, NY, 14627, USA. Electronic address: Benjamin_miller@urmc.rochester.edu.
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

NIAID NIH HHS HHSN272201400005C
6 · The paper itself

Abstract

The ability of influenza viruses to rapidly evolve has caused significant challenges in viral surveillance, diagnosis, and therapeutic development. Molecular sequencing methods, though powerful tools for monitoring influenza evolution at the genetic level, are not able to fully characterize the antigenic properties of influenza viruses. Understanding influenza virus antigenicity is critical to vaccine development and disease prevention. Traditional immunoassays which have been widely used for evaluating influenza antigenicity have limited throughput. To alleviate these problems, new bioanalytical tools to investigate influenza antigenicity by measuring antibody-antigen binding are an active area of research. Herein, we review immunosensor technologies from the aspects of various sensing principles, while highlighting recent developments in multiplex, label-free detection strategies. Highlighted technologies include electrochemical immunosensors relying on impedimetric detection; these demonstrate simple design and cost effectiveness for mass production. Antibody arrays implemented on an optical interferometric sensor system allow systematic characterization of influenza antigenicity. Quartz microbalance immunosensors are highly sensitive but have yet to be explored for multiplex sensing. Immunosensors made on lateral flow strips have shown promise in rapid diagnosis of influenza subtypes. We anticipate that these and other technologies discussed in the review will facilitate advances in the study of influenza, and other viral pathogens.

Indexed as

AlphainfluenzavirusAnimalsAntigens, ViralBiosensing TechniquesEquipment DesignHumansImmunoassayInfluenza, HumanOrthomyxoviridaeOrthomyxoviridae InfectionsAntigens, ViralAntigenicityImmunosensorInfluenzaLabel-freeMultiplex detectionVirus

Identifiers

PMID31272058
PMCPMC6717022
OpenAlexW2954500632

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.