Inamuddin & Abdullah M. Asiri 
Advanced Biosensors for Health Care Applications [EPUB ebook] 

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Advanced Biosensors for Health Care Applications highlights the different types of prognostic and diagnostic biomarkers associated with cancer, diabetes, Alzheimer’s disease, brain and retinal diseases, cardiovascular diseases, bacterial infections, as well as various types of electrochemical biosensor techniques used for early detection of the potential biomarkers of these diseases. Many advanced nanomaterials have attracted intense interests with their unique optical and electrical properties, high stability, and good biocompatibility. Based on these properties, advanced nanoparticles have been used as biomolecular carriers, signal producers, and signal amplifiers in biosensor design. Recent studies reported that there are several diagnostic methods available, but the major issue is the sensitivity and selectivity of these approaches. This book outlines the need of novel strategies for developing new systems to retrieve health information of patients in real time. It explores the potential of nano-multidisciplinary science in the design and development of smart sensing technology using micro-nanoelectrodes, novel sensing materials, integration with MEMS, miniaturized transduction systems, novel sensing strategy, that is, FET, CMOS, System-on-a-Chip (So C), Diagnostic-on-a-Chip (Do C), and Lab-on-a-Chip (LOC), for diagnostics and personalized health-care monitoring. It is a useful handbook for specialists in biotechnology and biochemical engineering. – Describes advanced nanomaterials for biosensor applications- Relates the properties of available nanomaterials to specific biomarkers applications- Includes diagnosis and electrochemical studies based on biosensors- Explores the potential of nano-multidisciplinary science to design and develop smart sensing technologies- Describes novel strategies for developing a new class of assay systems to retrieve the desired health information

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语言 英语 ● 格式 EPUB ● ISBN 9780128165225 ● 编辑 Inamuddin & Abdullah M. Asiri ● 出版者 Elsevier Science ● 发布时间 2019 ● 下载 3 时 ● 货币 EUR ● ID 6719147 ● 复制保护 Adobe DRM
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