Evidence map›Paper›PMID 35623254›Full record

ArticleBiosensors & bioelectronics2022

Nanoelectrokinetic-assisted lateral flow assay for COVID-19 antibody test.

Cheonjung Kim, Yong Kyoung Yoo, Na Eun Lee, Junwoo Lee, Kang Hyeon Kim, Seungmin Lee, Jinhwan Kim, Seong Jun Park, Dongtak Lee, Sang Won Lee and 5 more

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.2field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Development of practical techniques for simultaneous detection and distinction of current and emerging SARS-CoV-2 variants.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
    Review
  5. Review
  6. Article
  7. Lateral Flow Immunoassays for SARS-CoV-2.Diagnostics (Basel, Switzerland) · 2022
    Review
  8. Article
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

15 authors at 4 institutions in 2 countries.

Cheonjung KimDepartment of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Yong Kyoung YooDepartment of Electronic Engineering, Catholic Kwandong University, 24, Beomil-ro 579 beon-gil, Gangneung-si, Gangwon-do, 25601, Republic of Korea.
Na Eun LeeDepartment of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea; Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea.
Junwoo LeeDepartment of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Kang Hyeon KimDepartment of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Seungmin LeeDepartment of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea; School of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea.
Jinhwan KimDepartment of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Seong Jun ParkDepartment of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Dongtak LeeSchool of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea.
Sang Won LeeSchool of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea.
Kyo Seon HwangDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea.
Sung Il HanCALTH Inc., Changeop-ro 54, Seongnam, Gyeonggi, 13449, Republic of Korea.
Dongho LeeCALTH Inc., Changeop-ro 54, Seongnam, Gyeonggi, 13449, Republic of Korea.
Dae Sung YoonSchool of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea. Electronic address: dsyoon@korea.ac.kr.
Jeong Hoon LeeDepartment of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea. Electronic address: jhlee@kw.ac.kr.
Kwangwoon University · KRKorea University · KRCatholic Kwandong University · KRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A lateral flow assay (LFA) platform is a powerful tool for point-of-care testing (POCT), especially for self-testing. Although the LFA platform provides a simple and disposable tool for Coronavirus disease of 2019 (COVID-19) antigen (Ag) and antibody (Ab) screening tests, the lower sensitivity for low virus titers has been a bottleneck for practical applications. Herein, we report the combination of a microfluidic paper-based nanoelectrokinetic (NEK) preconcentrator and an LFA platform for enhancing the sensitivity and limit of detection (LOD). Biomarkers were electrokinetically preconcentrated onto a specific layer using the NEK preconcentrator, which was then coupled with LFA diagnostic devices for enhanced performance. Using this nanoelectrokinetic-assisted LFA (NEK-LFA) platform for self-testing, the severe acute respiratory syndrome coronavirus 2 Immunoglobulin G (SARS-CoV-2 IgG) sample was preconcentrated from serum samples. After preconcentration, the LOD of the LFA was enhanced by 32-fold, with an increase in analytical sensitivity (16.4%), which may offer a new opportunity for POCT and self-testing, especially in the COVID-19 pandemic and endemic global context.

Indexed as

Biosensing TechniquesCOVID-19Antibodies, ViralHumansImmunoassayPandemicsSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralBiomarkerCOVID-19Lateral flow assayPreconcentrationSARS-CoV-2 IgGSelf-testing

Identifiers

PMID35623254
PMCPMC9112610
OpenAlexW4280580061

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.