Evidence map›Paper›PMID 36290923›Full record

ArticleBiosensors2022

Integration of Power-Free and Self-Contained Microfluidic Chip with Fiber Optic Particle Plasmon Resonance Aptasensor for Rapid Detection of SARS-CoV-2 Nucleocapsid Protein.

Ting-Chou Chang, Aileen Y Sun, Yu-Chung Huang, Chih-Hui Wang, Shau-Chun Wang, Lai-Kwan Chau

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. 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

6 authors at 1 institution in 1 country.

Ting-Chou ChangCenter for Nano Bio-Detection, National Chung Cheng University, Chiayi 621301, Taiwan.
Aileen Y SunInstant NanoBiosensors, Co., Ltd., Taipei 115010, Taiwan.
Yu-Chung HuangInstant NanoBiosensors, Co., Ltd., Taipei 115010, Taiwan.
Chih-Hui WangCenter for Nano Bio-Detection, National Chung Cheng University, Chiayi 621301, Taiwan.
Shau-Chun WangCenter for Nano Bio-Detection, National Chung Cheng University, Chiayi 621301, Taiwan.
Lai-Kwan ChauCenter for Nano Bio-Detection, National Chung Cheng University, Chiayi 621301, Taiwan.ORCID 0000-0002-1659-6465
National Chung Cheng University · TW

Funding

Ministry of Science and Technology of Taiwan MOST 108-2119-M-194-002, MOST 109-2123-M-194-001, MOST 110-2123-M-194-001
6 · The paper itself

Abstract

The global pandemic of COVID-19 has created an unrivalled need for sensitive and rapid point-of-care testing (POCT) methods for the detection of infectious viruses. For the novel coronavirus SARS-CoV-2, the nucleocapsid protein (N-protein) is one of the most abundant structural proteins of the virus and it serves as a useful diagnostic marker for detection. Herein, we report a fiber optic particle plasmon resonance (FOPPR) biosensor which employed a single-stranded DNA (ssDNA) aptamer as the recognition element to detect the SARS-CoV-2 N-protein in 15 min with a limit of detection (LOD) of 2.8 nM, meeting the acceptable LOD of 10

Indexed as

Biosensing TechniquesCOVID-19DNA, Single-StrandedHumansMicrofluidicsNucleocapsid ProteinsSARS-CoV-2DNA, Single-StrandedNucleocapsid Proteinsaptamerbinding kineticsCOVID-19fiber optic biosensorgold nanoparticlelocalized surface plasmon resonancemicrofluidic chipnucleocapsid proteinpoint-of-care testingSARS-CoV-2

Identifiers

PMID36290923
PMCPMC9599074
OpenAlexW4297152145

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.