2019
DOI: 10.1109/jsen.2019.2936216
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Highly Sensitive Detection of Influenza A (H1N1) Virus With Silicon Nanonet BioFETs

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Cited by 14 publications
(12 citation statements)
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“…In addition, POCT was provided with smartphone to provide user interface for sharing sensing data in order to discover pandemic influenza infection at the early stages of an outbreak. Another ion sensitive FET based biosensor for the detection of H1N1 was fabricated using microfabrication technique by Lee & group ( Park et al, 2019 ). Highly sensitive silicon nanonet FET device was modified with biological receptor molecule (monoclonal antibody) for the quantification of H1N1 virus.…”
Section: Iomt-assisted Poc Biosensing For Infectious Diseasesmentioning
confidence: 99%
“…In addition, POCT was provided with smartphone to provide user interface for sharing sensing data in order to discover pandemic influenza infection at the early stages of an outbreak. Another ion sensitive FET based biosensor for the detection of H1N1 was fabricated using microfabrication technique by Lee & group ( Park et al, 2019 ). Highly sensitive silicon nanonet FET device was modified with biological receptor molecule (monoclonal antibody) for the quantification of H1N1 virus.…”
Section: Iomt-assisted Poc Biosensing For Infectious Diseasesmentioning
confidence: 99%
“…The fabrication processes of BioFETs can allow cost-effective and customized sensor platform for biomedical applications. For example, silicon deposition using e-beam lithography and chemical vapor deposition can build H1N1 virus and uranyl FET sensors, respectively [23,24]. The study of fabrication of silicon nanowire (SiNW) as transducing nanomaterial that enables label free, ultrasensitive, real-time detection is also actively underway.…”
Section: Biofet Using Other Materials: Silicon Inorganic Compounds mentioning
confidence: 99%
“…To selectively recognize target biomolecules or bioparticles, the gate insulator surface is functionalized with respective receptors (e.g., antibodies, antigens or ssDNA). the electrostatic detection of various intact virus particles, including several subtypes of influenza A [H1N1 (Hideshima et al, 2019;Park et al, 2019), H3N2 (Shen et al, 2012), H5N1 (Hideshima et al, 2019), H5N2 (Chiang et al, 2012)], human immunodeficiency virus (HIV) (Kim et al, 2019), rotavirus (Liu et al, 2013), Ebola (Jin et al, 2019), and SARS-CoV-2 (Seo et al, 2020). For instance, a SiNW biosensor for the rapid (within minutes) and low-cost diagnosis of seasonal flu that could detect H3N2 viruses in clinical, exhaled breath condensate samples down to ∼3 × 10 4 particles/mL, was developed by Shen et al (2012).…”
Section: Intact Virus Particle Detectionmentioning
confidence: 99%
“…16 aM) has been demonstrated by a reusable SiNW-FET with reversible surface functionalization strategy (Chiang et al, 2012). More recently, a highly sensitive silicon-nanonet FET for the detection of H1N1 influenza A, which is one of the most virulent human pathogens among various types of influenza, was realized (Park et al, 2019).…”
Section: Intact Virus Particle Detectionmentioning
confidence: 99%
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