Evidence map›Paper›PMID 36494247›Full record

ArticleJournal of bioscience and bioengineering2023

Development of nucleic acid based lateral flow assays for SARS-CoV-2 detection.

Dilek Çam Derin, Enes Gültekin, Irmak İçen Taşkın, Yusuf Yakupoğulları

Open access · greenAbstract read
In one paragraph

Article in Journal of bioscience and bioengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Design of a lateral flow assay targeting the conserved NIID_2019-nCoV_N gene region for molecular viral diagnosis.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2025
    Article
  2. Article
  3. Review
  4. 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

4 authors at 1 institution in 1 country.

Dilek Çam DerinDepartment of Molecular Biology and Genetics, Inonu University, 44280 Malatya, Turkey. Electronic address: cam.dilek@gmail.com.
Enes GültekinDepartment of Molecular Biology and Genetics, Inonu University, 44280 Malatya, Turkey. Electronic address: enesgultekin1461@gmail.com.
Irmak İçen TaşkınDepartment of Molecular Biology and Genetics, Inonu University, 44280 Malatya, Turkey. Electronic address: irmak.taskin@inonu.edu.tr.
Yusuf YakupoğullarıDepartment of Medical Microbiology, Inonu University, 44280 Malatya, Turkey. Electronic address: yusuf.yakupogullari@inonu.edu.tr.
Inonu University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 is still threat for humanity and its detection is crucial. Although real time reverse transcriptase polymerase chain reaction is the most reliable method for detection of N protein genes, alternative methods for molecular detection are still needed. Thus, lateral flow assay models for 2019-nCoV_ N3 were developed for molecular detection. Briefly, gold nanoparticles were used as label and three sandwich models (1A, 1B, and 1.2) were designed. Prob concentrations on gold nanoparticles, types of sandwich model and membrane, limit of detection of target gene and buffer efficiency were studied. Model 1B has shown the best results with M170 membrane. Lower limit of detection was achieved by model 1.2 as 5 pM. All parameters have significant role for molecular detection of SARS-CoV-2 by lateral flow assays, and these results will be useful for nucleic acid based lateral flow assays for viral detection or multiple detection of mutated forms in various detection systems.

Indexed as

COVID-19Metal NanoparticlesNucleic AcidsGoldHumansSARS-CoV-2Sensitivity and SpecificityGoldNucleic Acids2019-nCoV_NDetectionRapid testSandwich assaySARS-CoV-2

Identifiers

PMID36494247
PMCPMC9637530
OpenAlexW4308477292

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.