Evidence map›Paper›PMID 34149185›Full record

ArticleSensors and actuators. B, Chemical2021

Handheld plasmonic biosensor for virus detection in field-settings.

Arif E Cetin, Zeynep A Kocer, Seda Nur Topkaya, Ziya Ata Yazici

Open access · greenAbstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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 3 institutions in 1 country.

Arif E CetinIzmir Biomedicine and Genome Center, Balcova, Izmir, 35340, Turkey.
Zeynep A KocerIzmir Biomedicine and Genome Center, Balcova, Izmir, 35340, Turkey.
Seda Nur TopkayaDepartment of Analytical Chemistry, Faculty of Pharmacy, Izmir Katip Celebi University, Cigli, Izmir, 35620, Turkey.
Ziya Ata YaziciDepartment of Biomedical Engineering, TOBB University of Economics and Technology, Cankaya, Ankara, 06560, Turkey.
Dokuz Eylül University · TRIzmir Kâtip Çelebi University · TRTOBB University of Economics and Technology · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After World Health Organization (WHO) announced COVID-19 outbreak a pandemic, we all again realized the importance of developing rapid diagnostic kits. In this article, we introduced a lightweight and field-portable biosensor employing a plasmonic chip based on nanohole arrays integrated to a lensfree-imaging framework for label-free detection of viruses in field-settings. The platform utilizes a CMOS (complementary metal-oxide-semiconductor) camera with high quantum efficiency in the spectral window of interest to monitor diffraction field patterns of nanohole arrays under the uniform illumination of an LED (light-emitting diode) source which is spectrally tuned to the plasmonic mode supported by the nanohole arrays. As an example for the applicability of our biosensor for virus detection, we could successfully demonstrate the label-free detection of H1N1 viruses, e.g., swine flu, with medically relevant concentrations. We also developed a low-cost and easy-to-use sample preparation kit to prepare the surface of the plasmonic chip for analyte binding, e.g., virus-antibody binding. In order to reveal a complete biosensor technology, we also developed a user friendly Python™ - based graphical user interface (GUI) that allows direct access to biosensor hardware, taking and processing diffraction field images, and provides virus information to the end-user. Employing highly sensitive nanohole arrays and lensfree-imaging framework, our platform could yield an LOD as low as 10

Indexed as

Label-free biosensingLensfree-imagingNanotechnologyPlasmonicsPoint-of-care diagnostics

Identifiers

PMID34149185
PMCPMC8206576
OpenAlexW3173062463

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.