Evidence map›Paper›PMID 35323418›Full record

ArticleBiosensors2022

Highly Sensitive Immunoresistive Sensor for Point-Of-Care Screening for COVID-19.

Tianyi Li, Scott D Soelberg, Zachary Taylor, Vigneshwar Sakthivelpathi, Clement E Furlong, Jong-Hoon Kim, Sang-Gyeun Ahn, Peter D Han, Lea M Starita, Jia Zhu and 1 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

11 authors at 3 institutions in 1 country.

Tianyi LiDepartment of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.
Scott D SoelbergDepartments of Medicine, Division of Medical Genetics and Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Zachary TaylorDepartment of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.
Vigneshwar SakthivelpathiDepartment of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.
Clement E FurlongDepartments of Medicine, Division of Medical Genetics and Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Jong-Hoon KimSchool of Engineering and Computer Science, Washington State University, Vancouver, WA 98686, USA.ORCID 0000-0001-6088-7676
Sang-Gyeun AhnIndustrial Design, University of Washington, Seattle, WA 98195, USA.
Peter D HanDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Lea M StaritaDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Jia ZhuDepartment of Laboratory Medicine and Pathology, University of Washington, and Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98195, USA.ORCID 0000-0002-8676-5105
Jae-Hyun ChungDepartment of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.
University of Washington · USUniversity of Washington Medical Center · USWashington State University Vancouver · US

Funding

WILDLIFE BIOMARKER APPLICATIONS TO REMEDIATION DECISION MAKINGP42ES004696 · NIEHS · UNIVERSITY OF WASHINGTON · PI BURBACHER, THOMAS M · 1987 to 2021
$51.2M
Modeling of human HSV infection: development of immune-competent 3D skin-on-chip with vascular perfusionR01AI143773 · NIAID · UNIVERSITY OF WASHINGTON · PI ZHU, JIA · 2020 to 2024
$2.7M
NIAID NIH HHS R01 AI143773NIEHS NIH HHS P42 ES004696
6 · The paper itself

Abstract

Current point-of-care (POC) screening of Coronavirus disease 2019 (COVID-19) requires further improvements to achieve highly sensitive, rapid, and inexpensive detection. Here we describe an immunoresistive sensor on a polyethylene terephthalate (PET) film for simple, inexpensive, and highly sensitive COVID-19 screening. The sensor is composed of single-walled carbon nanotubes (SWCNTs) functionalized with monoclonal antibodies that bind to the spike protein of SARS-CoV-2. Silver electrodes are silkscreen-printed on SWCNTs to reduce contact resistance. We determine the SARS-CoV-2 status via the resistance ratio of control- and SARS-CoV-2 sensor electrodes. A combined measurement of two adjacent sensors enhances the sensitivity and specificity of the detection protocol. The lower limit of detection (LLD) of the SWCNT assay is 350 genome equivalents/mL. The developed SWCNT sensor shows 100% sensitivity and 90% specificity in clinical sample testing. Further, our device adds benefits of a small form factor, simple operation, low power requirement, and low assay cost. This highly sensitive film sensor will facilitate rapid COVID-19 screening and expedite the development of POC screening platforms.

Indexed as

Biosensing TechniquesCOVID-19Nanotubes, CarbonHumansLimit of DetectionPoint-of-Care SystemsSARS-CoV-2Nanotubes, CarbonCOVID-19immunoresistive sensorpoint-of-care diagnosisresistance ratiosingle-walled carbon nanotubes

Identifiers

PMID35323418
PMCPMC8946488
OpenAlexW4214736943

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.