Functional Organic and Hybrid Nanostructured Materials 2018
DOI: 10.1002/9783527807369.ch13
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Hybrid Organic–Nitride Semiconductor Nanostructures for Biosensor Applications

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“…In the past decades, there has been an emerging interest in developing GaN-based biosensors for applications in biological, pharmaceutical, or environmental monitoring, such as biomarker detection [ 5 ], glucose sensing [ 6 ], and for disease monitoring and clinical diagnosis [ 7 ]. In comparison to conventional semiconductors, such as silicon [ 8 ], GaN was found to be an excellent material for chemical and biological sensing applications, due to its good chemical stability under harsh environmental conditions, its improved thermal stability, attractive optical properties, good electron mobility, fast response time and excellent biocompatibility [ 9 ]. Moreover, its piezoelectric properties allow applications in chemically sensitive field-effect transistor structures, which offers opportunities for the detection of various relevant target molecules, such as glucose or DNA [ 6 , 10 , 11 , 12 , 13 , 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…In the past decades, there has been an emerging interest in developing GaN-based biosensors for applications in biological, pharmaceutical, or environmental monitoring, such as biomarker detection [ 5 ], glucose sensing [ 6 ], and for disease monitoring and clinical diagnosis [ 7 ]. In comparison to conventional semiconductors, such as silicon [ 8 ], GaN was found to be an excellent material for chemical and biological sensing applications, due to its good chemical stability under harsh environmental conditions, its improved thermal stability, attractive optical properties, good electron mobility, fast response time and excellent biocompatibility [ 9 ]. Moreover, its piezoelectric properties allow applications in chemically sensitive field-effect transistor structures, which offers opportunities for the detection of various relevant target molecules, such as glucose or DNA [ 6 , 10 , 11 , 12 , 13 , 14 ].…”
Section: Introductionmentioning
confidence: 99%