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研究生:陳虹儒
研究生(外文):CHEN, HONG-RU
論文名稱:表面增強拉曼散射基材製備與應用於化學戰劑檢測之研究
論文名稱(外文):Preparation of Surface-Enhanced Raman Scattering Substrate and Its Application in Chemical Warfare Agent Detection
指導教授:黃文鍵、王哲釧
指導教授(外文):HUANG, WEN-CHIEN、WANG, JE-CHUANG
口試委員:賴耀祥、葉早發、吳國輝、黃文鍵、王哲釧
口試委員(外文):LAI, YAO-HSIANG、YEH, TSAO-FA、WU, KUO-HUI、HUANG, WEN-CHIEN、WANG, JE-CHUANG
口試日期:2022-05-03
學位類別:碩士
校院名稱:國防大學
系所名稱:化學工程碩士班
學門:工程學門
學類:化學工程學類
論文種類:學術論文
論文出版年:2022
畢業學年度:110
語文別:中文
論文頁數:54
中文關鍵詞:表面增強拉曼柔性基材奈米銀化學戰劑
外文關鍵詞:Surface-Enhanced RamanFlexible substrateNanosilverChemical Warfare Agent
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近年恐怖主義興起,典型的大規模化學武器攻擊已隨著時代更迭而改變,由於化學武器的大範圍殺傷力、材料取得容易、製造簡單等特性,已成為主張恐怖主義團體或個人意識所運用激進手段之一,因此對於遭受化學武器危害仍存在著一定風險,故對於提升我國軍化學兵偵(檢)測作業防禦量能仍至關重要。目前傳統的色譜分析方法對樣品具有破壞性,並且需要耗時的樣品製備,不利於平戰時化學兵快速偵(檢)測作業。本研究旨在利用表面增強拉曼光譜 (SERS)特性,使用銀奈米顆粒作為介質,附著於棉棒表層作為表面增強拉曼散射柔性基材,利用棉棒的沾染、擦拭以及吸附的特性,建立一種新穎、簡便、快速的檢測技術。透過拉曼儀器檢測神經性模擬戰劑DMMP(甲基磷酸二甲酯Dimethyl Methyl Phosphonate)、糜爛性模擬戰劑2-CEES(2-氯乙基乙基硫醚2-Chloroethyl ethyl sulfide) 及血液性模擬戰劑乙腈(Acetonitrile)等樣品,來評估 SERS 效果。經證實,使用硝酸銀(AgNO3)與硼氫化納(NaBH4)所產製出的奈米銀,與二乙烯三胺基丙基三甲氧基矽烷(ATS)反應後,可得到分散良好且穩定的奈米銀顆粒,作為 SERS 熱點來增強待測物分子的拉曼信號。此外,當奈米銀吸附於棉棒纖維結構實現了基材與介質之間良好的相互作用。該 SERS 方法對神經性模擬戰劑DMMP檢測限為 1 g/L、糜爛性模擬戰劑2-CEES檢測限為 60 g/L及血液性模擬戰劑乙腈檢測限為 60 g/L。結果表明,奈米銀與棉棒結合是一種實用的方法,期望本研究為化學兵部隊提升檢測作業效率,低成本及簡單方便的分析方式能夠全面提供至基層官兵運用。
With the rise of terrorism in recent years, the typical large-scale chemical weapons attack has changed with the times. Due to the large-scale lethality of chemical weapons, easy acquisition of materials, and simple manufacture, they have become a radical attack by terrorist groups or individuals. Therefore, there is still a certain risk of being harmed by chemical weapons, so it is still very important to improve the defense capacity of my country's military chemical reconnaissance (detection) operations. At present, traditional chromatographic analysis methods are destructive to samples and require time-consuming sample preparation, which is not conducive to the rapid detection (detection) operations of chemical troops in peacetime. The purpose of this study is to utilize the characteristics of surface-enhanced Raman spectroscopy (SERS), using silver nanoparticles as a medium, and attaching to the surface of a cotton swab as a flexible substrate for surface-enhanced Raman scattering. Establish a novel, simple and rapid detection technology. The Raman instrument was used to detect the neural simulated warfare agent DMMP (Dimethyl Methyl Phosphonate), the erosive simulated warfare agent 2-CEES (2-Chloroethyl ethyl sulfide) and the blood Samples such as acetonitrile, a combat agent, were simulated to evaluate the effect of SERS. It has been confirmed that the nano-silver produced by silver nitrate (AgNO3) and sodium borohydride (NaBH4) can be reacted with ATS to obtain well-dispersed and stable nano-silver particles, which can be used as SERS hot spots to enhance the analyte molecules. Raman signal. In addition, when the nanosilver was adsorbed on the cotton swab fiber structure, a good interaction between the substrate and the medium was achieved. The SERS method has a detection limit of 1 g/L for the neural simulated warfare agent DMMP, 60 g/L for the erosive simulated warfare agent 2-CEES and 60 g/L for the blood simulated warfare agent acetonitrile. The results show that the combination of nano-silver and cotton swabs is a practical method. It is expected that this research will improve the efficiency of detection operations for chemical troops, and the low-cost and simple and convenient analysis method can be fully applied to grass-roots officers and soldiers.
1. 緒論
1.1 前言
1.2 研究動機與目的
1.3 研究架構
2. 文獻探討
2.1 化學戰劑種類概述
2.1.1神經性戰劑
2.1.2糜爛性戰劑
2.1.3血液性戰劑
2.2 化學戰劑檢測方式
2.2.1 LC/MS
2.2.2 GC/MS
2.2.3 HPLC
2.2.4 Raman
2.3表面增強拉曼散射技術
2.3.1 表面增強拉曼原理
2.3.2 表面增強拉曼介質
2.4 表面增強拉曼基材分類
2.4.1剛性基材
2.4.2柔性基材
3. 實驗
3.1實驗材料
3.2實驗儀器與設備
3.3實驗步驟
3.3.1 奈米銀粒子製備
3.3.2柔性表面散射基材製備
3.3.3神經性模擬戰劑DMMP檢測
3.3.4糜爛性模擬戰劑2-CEES檢測
3.3.5血液性模擬戰劑ACN檢測
4. 結果與討論
4.1 奈米銀粒子特徵分析
4.1.1 UV-Vis分析
4.1.2 XRD分析
4.1.3 FTIR分析
4.1.4 TEM分析
4.2 柔性表面散射基材特徵分析
4.2.1 SEM和EDX分析
4.2.2 XPS分析
4.3柔性拉曼散射基材檢測分析
4.3.1 DMMP靈敏性分析
4.3.2 DMMP再現性分析
4.3.3 DMMP穩定性分析
4.3.4 2-CEES靈敏性分析
4.3.5 ACN靈敏性分析
5. 結論
參考文獻

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