跳到主要內容 :::

年度	113	專案性質	實驗性質
專案類別	先導專案	研究主題	調查
申請機構	大葉大學	申請系所	環境工程學系
專案主持人	曾韋斌	職等/職稱	助理教授
專案中文名稱	基於SERS技術結合DLLME方法之快速高靈敏度多氟烷基化合物（PFAS）檢測平台的開發與應用
中文關鍵字	全氟及多氟烷基化合物, 表面增強拉曼散射, 分散液液微萃取
專案英文名稱	Development and Application of a Rapid and Highly Sensitive Detection Platform for Perfluoroalkyl Substances (PFAS) Based on SERS Technology Intergrated with DLLME Method
英文關鍵字	Per- and Polyfluoroalkyl Substances, Surface-Enhanced Raman Scattering, Dispersive Liquid-Liquid Microextraction
執行金額	400,000元
執行期間	2024/12/1 至 2025/11/30
計畫中文摘要	本研究旨在開發一種基於表面增強拉曼光譜（SERS）技術結合分散液液微萃取（DLLME）方法的快速、高靈敏度多氟烷基化合物（PFAS）檢測平台。PFAS 是一類具有高度環境持久性和生物累積性的化學物質，如全氟辛酸（PFOA）和全氟辛烷磺酸（PFOS），由於其廣泛應用於工業和消費品中，對環境及人體健康造成顯著威脅。隨著國際社會對 PFAS 污染問題的日益關注，各國相繼制定嚴格的監控標準。然而，傳統檢測技術如液相層析-串聯質譜（LC-MS/MS）雖然具備高靈敏度，但其操作複雜、耗時且成本高昂，難以滿足大規模快速檢測的需求。因此，開發一種快速、高靈敏且低成本的檢測技術成為急需解決的問題。本研究提出結合 SERS 與 DLLME 技術的創新解決方案，以實現微量 PFAS 的高效檢測。SERS 技術利用金、銀等貴金屬奈米材料的局部區域表面電漿共振（LSPR）效應，顯著增強分子的拉曼光譜訊號，可靈敏檢測微量物質，甚至達到單一分子的程度。為進一步提升靈敏度，本研究引入 DLLME 作為樣品前處理手段，通過微量有機溶劑與分散劑形成的微乳液，將 PFAS 分子高效萃取於有機相中，隨後離心分離並將萃取的 PFAS 轉移至 SERS 基底進行檢測。此組合方法不僅顯著提高檢測靈敏度，還大幅縮短檢測時間。結合 SERS 與 DLLME 技術後，該平台可實現 ng/L 級別的檢測限，滿足國際對微量污染物檢測的要求。相比傳統技術如 LC-MS/MS，SERS-DLLME 平台操作簡便、檢測快速且成本低廉，並且僅需少量有機溶劑，符合綠色化學理念，有助於減輕環境負擔。此外，本研究還專注於開發新型 SERS 奈米基材，通過優化奈米材料的形狀、尺寸及表面修飾，增強其與特定 PFAS 分子的相互作用，進一步提升 SERS 的訊號增強效果。同時，優化 DLLME 的操作參數（如萃取劑和分散劑選擇、萃取時間及溶液 pH 值），以實現對不同 PFAS 類型的高效萃取系統，適應多種環境基質（如水體、土壤及工業廢水）的檢測需求。本研究預期成果包括建立一個高靈敏度、操作簡便且適應性廣的 PFAS 檢測平台，並通過實驗室測試與優化驗證其實際應用可行性。此技術將有效應對日益嚴苛的環境監測法規需求，不僅適用於環境樣品的快速篩選，還具備跨領域應用潛力，如工業污染控制、食品安全檢測及公共健康監控等領域。隨著技術的不斷改進，該平台有望進一步推廣應用，成為 PFAS 污染監測的核心技術。
計畫英文摘要	This study aims to develop a rapid and highly sensitive detection platform for per- and polyfluoroalkyl substances (PFAS) by integrating surface-enhanced Raman scattering (SERS) with dispersive liquid-liquid microextraction (DLLME). PFAS, a group of environmentally persistent and bioaccumulative chemicals such as perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), pose significant threats to the environment and human health due to their widespread use in industrial and consumer products. With growing international concern over PFAS contamination, stringent monitoring standards have been established globally. However, traditional detection methods, such as liquid chromatography-tandem mass spectrometry (LC-MS/MS), although highly sensitive, are complex, time-consuming, and costly, making them unsuitable for large-scale rapid detection. Therefore, developing a fast, sensitive, and cost-effective detection technology is urgently needed.This study proposes an innovative solution by combining SERS with DLLME to establish an efficient detection platform for trace PFAS. SERS utilizes the localized surface plasmon resonance (LSPR) effect of noble metal nanomaterials such as gold and silver to significantly enhance the Raman scattering signals of molecules, enabling the sensitive detection of trace substances, even down to the single-molecule level. DLLME is introduced as a sample pre-treatment method to enhance further sensitivity. PFAS molecules are efficiently enriched in an organic phase using microemulsions formed by small amounts of organic solvents and dispersants. After centrifugation, the enriched PFAS are transferred to the SERS substrate for detection. This combined approach not only significantly improves detection sensitivity but also reduces detection time.The SERS-DLLME platform achieves detection limits at the ng/L level, meeting international requirements for trace pollutant detection. Compared to conventional methods such as LC-MS/MS, the SERS-DLLME platform is simpler, faster, and more cost-effective. Additionally, it requires minimal organic solvent, aligning with green chemistry principles and reducing environmental impact. Furthermore, this study focuses on developing novel SERS nanomaterials to enhance detection sensitivity and stability. By optimizing the shape, size, and surface modifications of nanomaterials, stronger interactions with specific PFAS molecules can be achieved, thereby improving SERS signal enhancement. Simultaneously, DLLME parameters, including the choice of extractants and dispersants, extraction time, and solution pH, are optimized to efficiently enrich various PFAS types, enabling detection in diverse environmental matrices such as water, soil, and industrial wastewater.The expected outcomes of this study include establishing a highly sensitive, user-friendly, and versatile PFAS detection platform, followed by systematic laboratory testing and optimization to verify its applicability in real-world environments. This technology will provide robust technical support for addressing increasingly stringent environmental monitoring regulations, offering rapid screening for environmental samples, and demonstrating cross-sector applicability in industrial pollution control, food safety testing, and public health surveillance. With continuous technological advancements, this platform is anticipated to achieve broader applications and become a key technology in PFAS contamination monitoring.