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Field-effect Transistor Biosensors for Rapid Pathogen Detection

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Title: Field-effect Transistor Biosensors for Rapid Pathogen Detection
Description: Looking to prevent future outbreaks of deadly pathogens by early detection? Infectious diseases continue to be a challenge that necessitates increased precision in detection and integration to achieve accurate diagnosis at the point of care (PoC). Field-effect transistors (FETs) have been investigated widely as biosensors for pathogen detection, with advantages such as label-free and real-time detection capabilities. These biosensors have: a high level of sensitivity, a remarkable capacity for miniaturization, a molecular minimum limit of detection (LoD), and seamless integration with semiconductor technologyIn this title, we have invited expert scientific researchers to share their experience in this field. This book focuses on the application and possibility of FETs as biosensors, for rapid and real time detection of pathogens that affect human life. The lack of commercially available efficient devices that can be deployed for this task resulted in the recent global spread of the SARS-CoV-19 virus. The book is an attempt to keep interested parties up to date. Aimed at scientists and engineers (researchers, academics, and postgraduate students) who are interested in developing and using BioFET based sensors, the information in this book is crucial to help prevent future outbreaks of pathogens which bring with them significant impacts on human health and wellbeing.
Authors: Naif H M Al-Hardan, Azman Jalar, Muhammad Azmi Abdul Hamid, Mohd Firdaus Raih
Resource Type: eBook.
Subjects: Field-effect transistors
Categories: SCIENCE / Chemistry / Analytic, SCIENCE / Life Sciences / Biochemistry, SCIENCE / Chemistry / Clinical
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
An: 3848726
RelevancyScore: 1123
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PubType: eBook
PubTypeId: ebook
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  Data: Field-effect Transistor Biosensors for Rapid Pathogen Detection
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  Data: Looking to prevent future outbreaks of deadly pathogens by early detection? Infectious diseases continue to be a challenge that necessitates increased precision in detection and integration to achieve accurate diagnosis at the point of care (PoC). Field-effect transistors (FETs) have been investigated widely as biosensors for pathogen detection, with advantages such as label-free and real-time detection capabilities. These biosensors have: a high level of sensitivity, a remarkable capacity for miniaturization, a molecular minimum limit of detection (LoD), and seamless integration with semiconductor technologyIn this title, we have invited expert scientific researchers to share their experience in this field. This book focuses on the application and possibility of FETs as biosensors, for rapid and real time detection of pathogens that affect human life. The lack of commercially available efficient devices that can be deployed for this task resulted in the recent global spread of the SARS-CoV-19 virus. The book is an attempt to keep interested parties up to date. Aimed at scientists and engineers (researchers, academics, and postgraduate students) who are interested in developing and using BioFET based sensors, the information in this book is crucial to help prevent future outbreaks of pathogens which bring with them significant impacts on human health and wellbeing.
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RecordInfo BibRecord:
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      – Code: 616.9041
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Field-effect transistors
        Type: general
    Titles:
      – TitleFull: Field-effect Transistor Biosensors for Rapid Pathogen Detection
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            NameFull: Naif H M Al-Hardan
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            NameFull: Azman Jalar
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            NameFull: Muhammad Azmi Abdul Hamid
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            NameFull: Mohd Firdaus Raih
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            NameFull: Naif H M Al-Hardan
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            NameFull: Azman Jalar
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            NameFull: Muhammad Azmi Abdul Hamid
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            NameFull: Mohd Firdaus Raih
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 15
              M: 08
              Type: profile
              Y: 2025
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              Value: 9781837670819
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              Value: 9781837673438
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              Value: 00024
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