journal article·2020-10-23Open access

Magnetic-Nanosensor-Based Virus and Pathogen Detection Strategies before and during COVID-19

Kai Wu, Renata Saha, Diqing Su, Venkatramana D. Krishna, Jinming Liu, Maxim C.-J. Cheeran, Jian-Ping Wang

ACS Applied Nano Materials· Volume 3· Issue 10

Abstract

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), is a threat to the global healthcare system and economic security. As of July 2020, no specific drugs or vaccines are yet available for COVID-19; a fast and accurate diagnosis for SARS-CoV-2 is essential in slowing the spread of COVID-19 and for efficient implementation of control and containment strategies. Magnetic nanosensing is an emerging topic representing the frontiers of current biosensing and magnetic areas. The past decade has seen rapid growth in applying magnetic tools for biological and biomedical applications. Recent advances in magnetic nanomaterials and nanotechnologies have transformed current diagnostic methods to nanoscale and pushed the detection limit to early-stage disease diagnosis. Herein, this review covers the literature of magnetic nanosensors for virus and pathogen detection before COVID-19. We review popular magnetic nanosensing techniques including magnetoresistance, magnetic particle spectroscopy, and nuclear magnetic resonance. Magnetic point-of-care diagnostic kits are also reviewed aiming at developing plug-and-play diagnostics to manage the SARS-CoV-2 outbreak as well as preventing future epidemics. In addition, other platforms that use magnetic nanomaterials as auxiliary tools for enhanced pathogen and virus detection are also covered. The goal of this review is to inform the researchers of diagnostic and surveillance platforms for SARS-CoV-2 and their performances.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: SARS-CoV-2 detection and testing · Biosensors and Analytical Detection · Microfluidic and Bio-sensing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States

Department of Chemical Engineering and Material Science, University of Minnesota, Minneapolis, Minnesota 55455, United States

Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States

Funding

Physicians and Fairview Health Services, University of Minnesota · Medical School, University of Minnesota · Institute of Engineering in Medicine, University of Minnesota

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