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A Review of Piezoelectric and Magnetostrictive Biosensor Materials for Detection of COVID-19 and Other Viruses

Journal

ADVANCED MATERIALS
Volume 33, Issue 1, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202005448

Keywords

artificial intelligence; biosensors; data analytics; detection properties; electromagneto‐ mechanical design; Internet of Things; machine learning; piezoelectric; magnetostrictive materials; virus

Funding

  1. Japan Society for the Promotion of Science (JSPS) [JPJSCCA20200005]

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This article reviews the current state of research on biosensor materials for virus detection, including a general description of virus detection principles, a critique of experimental work on various virus sensors, and a summary of their detection limitations.
The spread of the severe acute respiratory syndrome coronavirus has changed the lives of people around the world with a huge impact on economies and societies. The development of wearable sensors that can continuously monitor the environment for viruses may become an important research area. Here, the state of the art of research on biosensor materials for virus detection is reviewed. A general description of the principles for virus detection is included, along with a critique of the experimental work dedicated to various virus sensors, and a summary of their detection limitations. The piezoelectric sensors used for the detection of human papilloma, vaccinia, dengue, Ebola, influenza A, human immunodeficiency, and hepatitis B viruses are examined in the first section; then the second part deals with magnetostrictive sensors for the detection of bacterial spores, proteins, and classical swine fever. In addition, progress related to early detection of COVID-19 (coronavirus disease 2019) is discussed in the final section, where remaining challenges in the field are also identified. It is believed that this review will guide material researchers in their future work of developing smart biosensors, which can further improve detection sensitivity in monitoring currently known and future virus threats.

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