本研究將以模板輔助型的方式來製備SERS活性基板，利用溶膠凝膠法合成氧化鋯奈米纖維，透過調整前驅溶液濃度以變化氧化鋯試片的表面形貌，並結合電子束蒸鍍法沉積金奈米顆粒於氧化鋯試片表面以製備為SERS活性基板，氧化鋯對於有機磷劑具有強親和性的特性，能縮短有機磷劑與表面結構的距離，使其落於熱點區域的機率提升，進而增強SERS效應。
於氧化鋯試片的製備研究中，藉由調整前驅溶液濃度以評估其對於表面結構的影響，其結果顯示：於低濃度的試片中，其表面形貌為平坦表面，隨著濃度的提升，奈米纖維的結構逐漸生成，而於濃度0.5 M的試片中以可觀察到部分區域因奈米纖維的生成密集而團聚為塊狀；於SERS活性基板增顯效應的評估中，以R6G作為分子探針，其結果顯示：使用雷射波長633 nm可激發較強的表面電漿共振，而藉由增顯因子的計算，得知以濃度0.3 M所製備的SERS活性基板具有最佳的增顯效應，其增顯因子達2.1 × 107，可應用於單分子的檢測，而其它基板的增顯因子也皆有106。
而於微量農藥檢測的研究中，選用四種農藥作為檢測物質：(1)益滅松、(2)加保利、(3)百滅寧與(4)賽滅寧，其結果顯示本研究之最佳SERS活性基板於賽滅寧的檢測極限濃度達10-6 M，加保利與百滅寧為10-7 M，而益滅松更高達10-8 M，表示本研究之最佳SERS活性基板於微量農藥檢測中具有高靈敏度的表現，此外，混合農藥的檢測分析中，更證實了氧化鋯可提升有機磷劑其增顯效益。
綜合以上的研究成果顯示：利用溶膠凝膠法製備氧化鋯試片，並以電子束蒸鍍沉積奈米金顆粒以製備為SERS活性基板的製程方式，不但於微量農藥檢測中有高靈敏度的表現，且對於有機磷劑有較高的選擇性表現，此外，其製備流程簡易且適用於大範圍面積的製備，正適合應用於SERS技術於商品化發展的新趨勢。

Trace detection of pesticide residues is necessary to assure food safety, given the potential health risks the pesticide residues may pose to consumers, thus a simple, rapid and effective analytical method is required. Surface-enhanced Raman scattering (SERS) has been well developed for detecting target species. Herein, gold nanoparticles deposited onto a template zirconia nanofibers prepared by the spin-coated sol-gel method were used as SERS-active substrates. The morphologies of zirconia samples were easily controlled by adjusting the precursor concentrations. The SERS effects of samples were firstly evaluated by different laser wavelengths using rhodamine 6G (R6G) as the probe molecule. The sample Au/Z_0.3 exhibited the highest enhancement factor of 2.1 × 107. Furthermore, the optimized SERS-active substrates Au/Z_0.3 were competent to detect four types of pesticides, including phosmet, carbaryl, permethrin and cypermethrin. The limits of detection were 10-6 M for cypermethrin, 10-7 M for carbaryl and permethrin, and 10-8 M for phosmet. In the Raman analysis of mixed pesticides, the substrates showed high selectivity to organophosphates. Finally, the characteristic peaks of each pesticide could be still identified in the simulation of detecting pesticides on fruits. The results show that the sample Au/Z_0.3 is a promising tool for trace detection of pesticides on fruits.

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