CANCER DIAGNOSIS WITH HUMAN BLOOD PLASMA USING NITRIDE SURFACE-ENHANCED RAMAN SPECTROSCOPY;CANCER DIAGNOSIS WITH HUMAN BLOOD PLASMA USING NITRIDE SURFACE-ENHANCED RAMAN SPECTROSCOPY

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/92500

Title:	CANCER DIAGNOSIS WITH HUMAN BLOOD PLASMA USING NITRIDE SURFACE-ENHANCED RAMAN SPECTROSCOPY;CANCER DIAGNOSIS WITH HUMAN BLOOD PLASMA USING NITRIDE SURFACE-ENHANCED RAMAN SPECTROSCOPY
Authors:	黃翠青;Khanh, Huynh Thuy Doan
Contributors:	光電科學與工程學系
Keywords:	表面增強拉曼散射;SERS
Date:	2023-12-08
Issue Date:	2024-09-19 15:53:56 (UTC+8)
Publisher:	國立中央大學
Abstract:	表面增強拉曼散射（Surface-enhanced Raman scattering, SERS）是一項具有卓越靈敏度和特異性的感測技術，適合應用於生物分子檢測。癌症診斷，這是早期檢測至關重要的領域，已經藉著SERS應用取得很大的進展。本研究旨在善用SERS的特性，檢測不同癌期的肺癌血漿樣本。我們以InGaN量子井（quantum wells, QWs）研製SERS基板，並優化鈦（Ti）附著層的厚度，希望能得到最強、最穩定的訊號。我們發現，擁有Ti附著層的SERS基板與肺癌期別呈現較顯著的線性關係，特別是在波數1525 cm⁻¹處的峰值強度。這項研究對於癌症診斷具有重大意義，因為它不僅能區分不同癌期的訊號，還能在極短(30分鐘)的時間內完成。 ;Surface-enhanced Raman scattering (SERS) is a transformative technique known for its exceptional sensitivity and specificity in the domain of biomolecule detection and disease identification. Cancer diagnosis, a realm where early detection plays a pivotal role, has made much progress through SERS. This study embarks on the mission to harness the power of SERS, with a dual aim of detecting lung cancer and categorizing its various stages. The research incorporates Quantum Wells (QWs) into SERS substrates and hinges on optimizing the thickness of Titanium (Ti) adhesion layers. The synergy of these elements, QWs-SERS, emerges as a promising tool for diagnosing lung cancer. The SERS substrate featuring Ti adhesion layers exhibits an improved linear relationship between peak intensity, notably at wavenumber 1525 cm⁻¹, and different stages of lung cancer. This study holds great significance for cancer diagnosis as it not only offers the ability to distinguish different cancerous states but also opens a path for rapid (< 30 min) cancer screening.
Appears in Collections:	[Graduate Institute of Optics and Photonics] Electronic Thesis & Dissertation

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