研究生: |
范綱庭 |
---|---|
論文名稱: |
阿達瑪轉換氣相層析質譜法檢測健康正常人與糖尿病患呼氣中丙酮的應用與研究 Applications of Hadamard transform-gas chromatography/mass Spectrometry to the detection of acetone in healthy human and diabetes mellitus patient breath |
指導教授: | 林震煌 |
學位類別: |
碩士 Master |
系所名稱: |
化學系 Department of Chemistry |
論文出版年: | 2014 |
畢業學年度: | 102 |
語文別: | 中文 |
論文頁數: | 79 |
中文關鍵詞: | 阿達瑪轉換 、氣相層析質譜法 、人體呼氣 、丙酮 |
論文種類: | 學術論文 |
相關次數: | 點閱:145 下載:0 |
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本研究成功以阿達瑪轉換-氣相層析質譜法 (Hadamard transform-gas chromatography/mass spectrometry, HT-GC/MS) 對人體呼出氣體中的糖尿病生物指標 (biomarker)-丙酮進行偵測。將待測樣品經由阿達瑪進樣裝置系統,在最佳化條件下,以阿達瑪矩陣255、1023及2047次編碼分別進行實驗時,訊號雜訊比可以得到改良效果,增加倍率與理論值(8.0、16.0、22.6)相當吻合。一次測量時間最短在8分鐘內即可完成,並得到良好的訊號雜訊比改善。本實驗分別採自於17名正常志願者以及37名糖尿病患,每次採集測試者1 L吐氣。在實際測量志願者的呼出氣體,合計108個採氣袋,得到丙酮平均濃度為正常人0.1 ~ 1.0 ppmv;糖尿病患1.0~10 ppmv,在此情形下阿達瑪轉換法能有效的提高訊號雜訊比,最低偵測極限(limit of detection, LOD)為0.1 ppmv。阿達瑪轉換法適用於各類氣體樣品,且不需經過前處理,便進行阿達瑪序列編碼進樣,進而得到更佳的訊號雜訊比。
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