研究生: |
方奕勳 Fang, Yi-Syun |
---|---|
論文名稱: |
開發光輔助合成高靈敏 SERS 基板應用於細菌檢測 Photo-assisted synthesis of high sensitive SERS substrate for bacterial detection |
指導教授: |
黃志嘉
Huang, Chih-Chia |
學位類別: |
碩士 Master |
系所名稱: |
理學院 - 光電科學與工程學系 Department of Photonics |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 英文 |
論文頁數: | 82 |
中文關鍵詞: | 柔性基板 、表面增強拉曼散射 、光還原 、熱對流 、金奈米顆粒 |
外文關鍵詞: | flexible substrate, surface-enhanced Raman scattering, photo-reduction, thermal convection, Au nanoparticle |
相關次數: | 點閱:119 下載:18 |
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近年來,無標記表面增強拉曼散射 (SERS) 已逐漸成為透過快速且高靈敏地檢測特定生物分子來解答有趣的生物學問題的新一代分析方法之一,但仍缺乏可靠的檢測和卓越的選擇性來接近生物傳感器平台的實際應用。SERS 技術在生物分析中的應用涉及等離子體奈米材料與生物系統及其環境的複雜相互作用。在此,我們展示了一種通過原位還原沉積和生長過程製造 SERS 基板的新型綠色和簡單方法。高密度的 Au 奈米粒子可以產生更顯著的 SPR 效應,它們對多種分子(包括嘌呤和染料)的物理和化學吸附具有強烈的 SERS 增強作用。最後,我們成功地檢測了細菌的代謝物(6小時內 100-102 CFU/mL),並有效區分細菌有無抗生素耐藥性。我們的光刺激還原反應證明了快速、簡單且有效的化學操作,可用於隨後增加 Au 奈米顆粒的密度和減小尺寸。成功地利用綠光刺激螯合物進行電子轉移,有效地增加了 Au 奈米粒子的產出,所展示的 SERS 能力可能成為未來設計新型生物分子類 SERS 基底的有力途徑。
In recent years, label-free Surface-enhanced Raman scattering (SERS) has gradually become one of the new generation analytical methods for answering interesting biological questions by rapid and sensitive detection of specific biomolecules but lacks reliable and exceptional selectivity detection methods to approach the practical applications in biosensing. SERS applications in bioanalysis involve complex interactions of plasmonic nanomaterials with biological systems and their environments. Herein, we illustrate a novel green and simple approach to fabricate SERS substrate through an in-situ gold (Au) reduction-based deposition and growth process. Our photo-stimulated reduction reaction can be used to increase the density of Au nanoparticles via a fast, simple, and efficient chemical operation. We succeed in using the green light source to simulate the electron transfer process, which is to increase the output in production in gold nanoparticles effectively. High-density Au nanoparticles produce any use to capture two items substantial SPR effect to SERS enhance diverse molecules that physically and chemical adsorbed molecules, including purines and dyes. We successfully detected a low concentration of metabolite-bacteria (100-102 CFU/mL) within 6 hrs. Our approach can also use to distinguish with/without antibiotic resistance. We demonstrated that SERS could potentially become an influential technique to detect biomolecules in the near future.
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