Zusammenfassung
Das vorliegende Kapitel hebt eindimensionale photonische Kristalle (1D-PhC) und ihre wesentlichen Anwendungen hervor. Der bemerkenswerte wissenschaftliche Fortschritt in PhC hat die Aufmerksamkeit von Forschern auf neuartige Biosensorik-Anwendungen lenken können. Mit dem Fortschritt in der Technologie wurden verschiedene defektbasierte PhC erfolgreich hergestellt, mit umfangreicher Analyse der Ausbreitungseigenschaften und getestet für verschiedene Sensoranwendungen wie Blut, Gas, Salzgehalt, DNA, Alkohol, Flüssigkeit, Lebensmittel, Hormone, Enzyme, Zellen, Urin, Glukose, Chemikalien etc. Die Transfermatrixmethode ist die geeignetste Methode zur Untersuchung der spektralen Eigenschaften der 1D-PhC-Struktur. Das Sensorikprinzip basiert auf der Untersuchung der Änderung in der Resonanzmoduswellenlänge entsprechend der Änderung im Brechungsindex des Analyten. Dieses Kapitel befasst sich mit der Untersuchung des auf einen Defekt basierten 1D-PhC-Krebszellensensors, bei dem TMM eingesetzt wird, um basale, zervikale und Brustkrebszellen zu erkennen. Um die Empfindlichkeit zu erhöhen, wird eine dünne Graphenschicht an der Seitenwand der Defektschicht abgelagert. Es wurde eine vollständige Optimierung der geometrischen Parameter vorgenommen, um eine hohe Leistung zu erzielen. Die 3D-Farbverlaufsdarstellung wird untersucht, um die Variation in den Eigenschaften des Defektmodus mit Änderung des Einfallswinkels deutlich zu zeigen. Darüber hinaus werden Signal-Rausch-Verhältnis, Q-Faktor, Auflösung und Güte des Sensors sorgfältig gemessen. Die bemerkenswerte Sensorleistung kann einen Weg eröffnen, um Krebszellen effektiv in einem frühen Stadium zu erkennen.
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Panda, A., Pukhrambam, P.D. (2024). Entwurf und Analyse eines eindimensionalen photonischen Kristall-Biosensor-Geräts zur Identifizierung von Krebszellen. In: Dutta, G., Biswas, A. (eds) Intelligente Nano-Bio-Geräte der nächsten Generation. Springer Spektrum, Singapore. https://doi.org/10.1007/978-981-97-2087-3_8
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