Evidence map›Paper›PMID 33786415›Full record

ReviewEmergent materials2021

Microfluidic-based virus detection methods for respiratory diseases.

E Alperay Tarim, Betul Karakuzu, Cemre Oksuz, Oyku Sarigil, Melike Kizilkaya, Mahmoud Khatib A A Al-Ruweidi, Huseyin Cagatay Yalcin, Engin Ozcivici, H Cumhur Tekin

Abstract readReview
In one paragraph

Review in Emergent materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  13. A portable system for economical nucleic acid amplification testing.Frontiers in bioengineering and biotechnology · 2023
    Article
  14. Article
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  20. Novel approaches for COVID-19 diagnosis and treatment: a nonsystematic review.Turkish journal of biology = Turk biyoloji dergisi · 2021
    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

9 authors.

E Alperay Tarim *Department of Bioengineering, Izmir Institute of Technology, Urla, Izmir, Turkey.
Betul Karakuzu *Department of Bioengineering, Izmir Institute of Technology, Urla, Izmir, Turkey.
Cemre Oksuz *Department of Bioengineering, Izmir Institute of Technology, Urla, Izmir, Turkey.
Oyku SarigilDepartment of Bioengineering, Izmir Institute of Technology, Urla, Izmir, Turkey.
Melike KizilkayaDepartment of Bioengineering, Izmir Institute of Technology, Urla, Izmir, Turkey.
Mahmoud Khatib A A Al-RuweidiBiomedical Research Center, Qatar University, Doha, Qatar.
Huseyin Cagatay YalcinBiomedical Research Center, Qatar University, Doha, Qatar.
Engin OzciviciDepartment of Bioengineering, Izmir Institute of Technology, Urla, Izmir, Turkey.
H Cumhur TekinDepartment of Bioengineering, Izmir Institute of Technology, Urla, Izmir, Turkey.ORCID 0000-0002-5758-5439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the recent SARS-CoV-2 outbreak, the importance of rapid and direct detection of respiratory disease viruses has been well recognized. The detection of these viruses with novel technologies is vital in timely prevention and treatment strategies for epidemics and pandemics. Respiratory viruses can be detected from saliva, swab samples, nasal fluid, and blood, and collected samples can be analyzed by various techniques. Conventional methods for virus detection are based on techniques relying on cell culture, antigen-antibody interactions, and nucleic acids. However, these methods require trained personnel as well as expensive equipment. Microfluidic technologies, on the other hand, are one of the most accurate and specific methods to directly detect respiratory tract viruses. During viral infections, the production of detectable amounts of relevant antibodies takes a few days to weeks, hampering the aim of prevention. Alternatively, nucleic acid-based methods can directly detect the virus-specific RNA or DNA region, even before the immune response. There are numerous methods to detect respiratory viruses, but direct detection techniques have higher specificity and sensitivity than other techniques. This review aims to summarize the methods and technologies developed for microfluidic-based direct detection of viruses that cause respiratory infection using different detection techniques. Microfluidics enables the use of minimal sample volumes and thereby leading to a time, cost, and labor effective operation. Microfluidic-based detection technologies provide affordable, portable, rapid, and sensitive analysis of intact virus or virus genetic material, which is very important in pandemic and epidemic events to control outbreaks with an effective diagnosis.

Indexed as

Biosensors,COVID-19MicrofluidicRespiratory diseaseViral pathogenVirus Detection

Identifiers

PMID33786415
PMCPMC7992628

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.