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Electronic biosensors based on EGOFETs
RISE Research Institutes of Sweden, Digital Systems, Smart Hardware.ORCID iD: 0000-0002-1949-6144
Università degli Studi di Bari “A. Moro”, Italy; CSGI Centre for Colloid and Surface Science, Italy; Åbo Akademi University, Finland.
Università degli Studi di Bari “A. Moro”, Italy; CSGI Centre for Colloid and Surface Science, Italy.
2020 (English)In: Methods in Enzymology, Academic Press Inc. , 2020Chapter in book (Refereed)
Abstract [en]

There is an increasing interest for low cost, ultrasensitive, time saving yet reliable, point-of-care bioelectronic sensors. Electrolyte gated organic field effect transistors (EGOFETs) are proven compelling transducers for various sensing applications, offering direct electronic, label-free transduction of bio-recognition events along with miniaturization, fast data handling and processing. Given that field effect transistors act as intrinsically signal amplifiers, even a small change of a chemical or biological quantity may significantly alter the output electronic signal. In EGOFETs selectivity can be guaranteed by the immobilization of bioreceptors able to bind specifically a target analyte. The layer of receptors can be linked to one of the electronic active interfaces of the transistor, and the interactions with a target molecule affect the electronic properties of the device. The present chapter discusses main aspects of EGOFETs transducers along with detailed examples of how to tailor the device interfaces with desired functionality. The development of an “electronic tongue” based on an EGOFET device coupled to odorant binding proteins (OBPs) for enantiomers differentiation is presented. 

Place, publisher, year, edition, pages
Academic Press Inc. , 2020.
Keywords [en]
Biofunctional layer, Biological olfactory systems, Biosensors, Electrolyte-gated organic field effect transistors, Electronic sensing, Enantiomeric differentiation, Odorant binding proteins, Organic bioelectronics, Self assembled monolayer
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-45642DOI: 10.1016/bs.mie.2020.07.003Scopus ID: 2-s2.0-85088803400OAI: oai:DiVA.org:ri-45642DiVA, id: diva2:1458905
Available from: 2020-08-18 Created: 2020-08-18 Last updated: 2023-06-09Bibliographically approved

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Mulla, Yusuf

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CiteExportLink to record
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