近年來，隨著人類對於食品安全及環境污染日漸重視，能夠快速檢測的需求也與日俱增。表面增強拉曼散射(SERS)是個備受關注的分析技術，此技術是結合貴金屬奈米顆粒陣列及拉曼光譜的“指紋”和快速感測的技術，該方法常用於醫療、農業及環境檢測。藉由調整銀或金等貴金屬奈米粒子尺寸及間距，可控制SERS訊號之強度及穩定性。仿生3D規則結構可以誘導雷射光在3D結構中有多次的反射，以增加SERS強度；因此，本研究是利用天然的蟬翼來當作模板，在蟬翼上進行銀奈米粒子之熱蒸鍍處理，其中具有3D規則結構的蟬翼，有易於獲得、規則排列的奈米陣列、低成本、超疏水、等優異性能。但因蟬翼來源的不確定性及缺乏可撓性，因此本研究也利用了天然蟬翼的結構當作仿生模板來進行翻印，打造出可撓式的仿生結構SERS基板，最後本研究成功地複製了蟬翼極小的奈米錐形結構。藉由蒸鍍25nm銀奈米粒子，可獲得最佳之SERS訊號以及高靈敏度的檢測極限(維生素D3檢測極限：10-10M)。其可撓的特性也可以實際應用在彎曲的表面上，能夠靈敏且快速的檢測出低濃度的水污染物及生物分子，例如：羅丹明6G及農藥巴拉刈(paraquat)。

In recent years, as human beings pay more attention to food safety and environmental pollution, the demand for rapid detection is also increasing. Surface enhanced Raman scattering (SERS) is a very attractive analytical technology, which combines the "fingerprint" and rapid sensing of noble metal nanoparticle arrays and Raman spectroscopy. This method is commonly used in medical, agricultural, and environmental detection. The intensity and reproducibility of SERS signal can be manipulated by adjusting the size and interparticle gap of the silver or gold nanoparticles. Bionic 3D regular structure can induce multiple reflections of laser light in 3D structure to increase SERS intensity; Therefore, in this study, natural cicada wings were used as templates, and silver nanoparticles were thermally evaporated on cicada wings. Cicada wings with 3D regular structure have excellent properties such as easy to obtain, regularly arranged nano arrays, low cost, superhydrophobic, and so on. However, due to the uncertainty of the source of cicada wings and the lack of flexibility, this study also used the structure of natural cicada wings as a bionic template to reproduce, creating a flexible bionic structure SERS substrate. Finally, this study successfully replicated the tiny nano conical structure of cicada wings. By depositing 25nm silver nanoparticles, the optimal SERS signal and high sensitivity detection limit (detection limit of vitamin D3: 10-10M) can be demonstrated. Its flexible properties can also be applied in the curved surfaces, which can sensitively and quickly detect low concentrations of water pollutants and biomolecules, such as rhodamine 6G and pesticide paraquat.

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