Surface Acoustic Wave-Driven Enhancement of Enzyme-Linked Immunosorbent Assays: ELISAW.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
30 May 2024
Historique:
medline: 30 5 2024
pubmed: 30 5 2024
entrez: 30 5 2024
Statut: aheadofprint

Résumé

Enzyme-linked immunosorbent assays (ELISAs) are widely used in biology and clinical diagnosis. Relying on antigen-antibody interaction through diffusion, the standard ELISA protocol can be time-consuming, preventing its use in rapid diagnostics. We present a time-saving and more sensitive ELISA without changing the standard setup and protocol, using surface acoustic waves (SAWs) to enhance performance. Each step of the assay, from the initial antibody binding onto the walls of the well plate to the target analyte molecules' binding for detection─except, notably, for the blocking step─is improved principally via acoustic streaming-driven advection. Using SAWs, the time required for one step of an example ELISA is reduced from 60 to 15 min to achieve the same binding amount. By extending the duration of SAW exposure to 20 min, the sensitivity can be significantly improved over the 60 min, 35 °C ELISA without SAWs. It is also possible to confer beneficial improvements to bead-based ELISA by combining it with SAWs to further reduce the time required for binding to 2 min. By significantly increasing the speed of ELISA, its utility may be improved for a wide range of point-of-care diagnostics applications.

Identifiants

pubmed: 38813952
doi: 10.1021/acs.analchem.4c01615
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Lei Zhang (L)

Medically Advanced Devices Laboratory, Center for Medical Devices, Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, and the Department of Medicine, School of Medicine, University of California San Diego, 9500 Gilman Drive MC0411, La Jolla, California 92093, United States.

Shuai Zhang (S)

Medically Advanced Devices Laboratory, Center for Medical Devices, Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, and the Department of Medicine, School of Medicine, University of California San Diego, 9500 Gilman Drive MC0411, La Jolla, California 92093, United States.

Cécile Floer (C)

Medically Advanced Devices Laboratory, Center for Medical Devices, Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, and the Department of Medicine, School of Medicine, University of California San Diego, 9500 Gilman Drive MC0411, La Jolla, California 92093, United States.
Université de Lorraine, Centre national de la recherche scientifique (CNRS), Institut Jean Lamour, F-54000 Nancy, France.

Sreeya Anjana Raj Kantubuktha (SAR)

Medically Advanced Devices Laboratory, Center for Medical Devices, Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, and the Department of Medicine, School of Medicine, University of California San Diego, 9500 Gilman Drive MC0411, La Jolla, California 92093, United States.
Materials Science and Engineering Program, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, United States.

María José González Ruiz Velasco (MJGR)

Medically Advanced Devices Laboratory, Center for Medical Devices, Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, and the Department of Medicine, School of Medicine, University of California San Diego, 9500 Gilman Drive MC0411, La Jolla, California 92093, United States.
Materials Science and Engineering Program, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, United States.

James Friend (J)

Medically Advanced Devices Laboratory, Center for Medical Devices, Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, and the Department of Medicine, School of Medicine, University of California San Diego, 9500 Gilman Drive MC0411, La Jolla, California 92093, United States.

Classifications MeSH