Field-Effect Transistor-Based Technology for Virus Detection
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".
Deadline for manuscript submissions: closed (25 July 2023) | Viewed by 165
Special Issue Editors
Interests: soft electronics; semiconductor devices; microfluidics; biomedical sensors; neural engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Accurate determination of the targets that could threaten the human body can provide sufficient information for the management of human health. For example, in recent years, diseases that spread rapidly worldwide such as the COVID-19 and Ebola viruses have been threatening human life and putting tremendous pressure on healthcare services as well as the economy. Hence, new diagnostic tests and devices for virus detection that enable efficient testing with a faster response, higher sensitivity and selectivity, simpler sample processing, and a lower cost than existing technologies are urgently needed. Biosensors that can convert binding events into electrical, optical, thermometric, piezoelectric, or magnetic signals have been useful in the detection of various targets. Among them, field-effect transistor (FET) biosensors could serve as one of the most promising candidates given their advantages of a miniaturized device size, simple fabrication method, and reliable sensing performance, such as high sensitivity and excellent selectivity.
Accordingly, this Special Issue seeks to showcase research papers and review articles that focus on but are not limited to FET-based biosensors for virus detection, including (1) new materials that can be used to fabricate new FET biosensors for virus detection; (2) novel designs, fabrication, control, and modeling of soft micro/nanodevices for virus detection; (3) advanced technologies for device fabrication; (4) development of new sensing components such as aptamers, nanobodies, molecular imprinted polymers (MIPs), etc.; (5) simulation and optimization of FET biosensors.
Dr. Guangfu Wu
Dr. Qi Gao
Guest Editors
Manuscript Submission Information
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Keywords
- field-effect transistor
- virus detection
- nanomaterials
- sensing components
- micro/nanofabrication
- simulation
- optimization
