簡易檢索 / 詳目顯示

研究生: 林志光
LIN, Jhih-Guang
論文名稱: 核磁共振T2分布檢測應用與特性研究
Application and Characterization of Nuclear Magnetic Resonance T2 Distribution Detection
指導教授: 廖書賢
Liao, Shu-Hsien
口試委員: 廖書賢
Liao, Shu-Hsien
王立民
Wang, Li-Min
謝振傑
Chieh, Jen-Jie
口試日期: 2024/06/27
學位類別: 碩士
Master
系所名稱: 光電工程研究所
Graduate Institute of Electro-Optical Engineering
論文出版年: 2024
畢業學年度: 112
語文別: 中文
論文頁數: 63
中文關鍵詞: 中場核磁共振T2弛豫時間奇異質分解反演法T2弛豫時間分布食用油品質檢測機油品質檢測
英文關鍵詞: Nuclear Magnetic Resonance (NMR), T2 relaxation time, Singular Value Decomposition (SVD) inversion method, T2 relaxation time distribution, edible oil quality detection, engine oil quality detection
DOI URL: http://doi.org/10.6345/NTNU202401436
論文種類: 學術論文
相關次數: 點閱:65下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究使用LabVIEW程式,搭配DAQ卡 (Data Acquisition)來擷取NMR Demonstrator系統並且使用自行開發的T2弛豫時間量測與分析程式分析T2橫向弛豫時間,再將分析後的數據使用MATLAB並且使用自行編寫奇異質SVD分解反演法程式分析並彙整出T2弛豫時間分布,驗證過程以利用已知T2弛豫時間的五水硫酸銅水溶液進行T2弛豫時間分布分析與利用已知T2弛豫時間的食用油進行T2弛豫時間分布分析。
    最後測量分析結果發現以使用自行編寫奇異質SVD分解反演法程式分析與原先數據相符,驗證奇異質SVD分解反演法的準確度與可行性,接者利用此分析方法測量分析三種市面上主要機油種類的樣品T2弛豫時間分布,比較三種機油T2弛豫時間長短來推測其流動性比較,結果與其機油樣品之原流動特性相符,提供一個以T2弛豫時間分布檢測機油品質的分析方法。

    In this study, LabVIEW software in conjunction with a Data Acquisition (DAQ) card was used to capture data from the NMR Demonstrator system. A self-developed T2 relaxation time measurement and analysis program was employed to analyze the T2 transverse relaxation time. The analyzed data was further processed using MATLAB with a self-written Singular Value Decomposition (SVD) inversion method program to compile the T2 relaxation time distribution. The verification process involved analyzing the T2 relaxation time distribution of a copper sulfate pentahydrate aqueous solution with known T2 relaxation times and analyzing the T2 relaxation time distribution of edible oil with known T2 relaxation times.
    Finally, the measurement and analysis results show that the use of a self-written singular value decomposition (SVD) inversion program is consistent with the original data, verifying the accuracy and feasibility of the singular value decomposition inversion method. Using this analysis method, the T2 relaxation time distribution of samples from three major types of motor oil available on the market was measured and analyzed. By comparing the T2 relaxation times of the three oils, their fluidity was inferred. The results were consistent with the original flow characteristics of the oil samples, providing an analysis method for detecting oil quality based on T2 relaxation time distribution.

    謝辭 i 摘要 ii 目錄 v 圖目錄 vii 表目錄 x 第1章 緒論 1 第2章 實驗原理 4 2.1 核磁共振原理 4 2.2 弛豫時間原理與特性 9 2.2.1弛豫時間T1與T2 10 2.2.2 T2分布的結合特性 13 第3章 實驗架構 15 3.1 Magnetic Resonance Demonstrator系統概述 15 3.2 NMR弛豫時間量測及分析程式 18 3.2.1 弛豫時間T2量測及分析 18 3.2.2 弛豫時間T2分布量測及分析 22 3.2.2.1 核磁共振T2分布奇異質分解反演法 23 第4章 實驗結果 27 4.1 Demonstrator系統與自行開發T2分布量測系統-模擬與驗證 27 4.1.1 假設數據模擬與驗證 28 4.1.2 硫酸銅水溶液T2多峰分布模擬與驗證 30 4.1.2.1 雙峰分布 31 4.1.2.2 三峰分布 35 4.2 Demonstrator系統與自行開發T2分布量測系統-食用油T2分布檢測與應用 41 4.2.1 橄欖油T2分布量測 42 4.2.2 葵花油T2分布量測 45 4.2.3 花生油T2分布量測 47 4.2.4 食用油T2分布分析與應用 50 4.3 Demonstrator系統與自行開發T2分布量測系統-機油T2分布檢測與應用 50 4.3.1 礦物機油T2分布量測 51 4.3.2 半合成機油T2分布量測 53 4.3.3 全合成機油T2分布量測 55 4.3.4 機油T2分布分析與應用 57 第5章 結論 59 5.1 結論 59 參考資料 61

    [1] Yasuhiro Date, Feifei Wei, Yuuri Tsuboi, Kengo Ito, Kenji Sakata & Jun Kikuchi,“Relaxometric learning: a pattern recognition method for T2 relaxation curves based on machine learning supported by an analytical framework”BMC Chemistry volume 15, Article number: 13 (2021)
    [2] Martina Schmidbauer,Song Rong,Marcel Gutberlet,Rongjun Chen,Jan Hinrich Bräsen,Dagmar Hartung,Martin Meier,Frank Wacker,Hermann Haller,Faikah Gueler ,Robert Greite ,andKatja Derlin ,“Diffusion-Weighted Imaging and Mapping of T1 and T2 Relaxation Time for Evaluation of Chronic Renal Allograft Rejection in a Translational Mouse Model”J. Clin. Med. 2021, 10(19), 4318
    [3] WANG Yong-wei,WANG Xin1,LIU Bao-lin,SHI Ran,YANG Pei-qiang,“Application of Low-Field Nuclear Magnetic Resonance (LF-NMR) to Analyze Frying Oil Quality” Institute of Food Quality and Safty, University of Shanghai for Science and Technology, Shanghai 200093
    [4] 氫原子核在磁場中的四種基本運動形式。
    網址:https://blog.sciencenet.cn/blog-3400811-1406804.html
    [5] 艾惠(2021)。《核磁共振波譜儀在有機化合物結構鑑定上的應用》。分析測試中心。
    [6] 王怡文,簡翔澐,何念青。《Introduction of MRI》。
    [7] 劉威辰(2022)。《桌上型中場核磁共振系統開發與組織檢測分析最佳化應用研究》。國立臺灣師範大學光電工程研究所碩士論文,台北市。
    [8] 弛緩 (核磁共振),維基百科。網址:https://reurl.cc/vabDlL
    [9] Liang Xu,Qi Li,Matthew Myers, Quan Chen,Xiaochun Li, “Application of nuclear magnetic resonance technology to carbon capture,utilization and storage: A review” Journal of Rock Mechanics and Geotechnical Engineering 11 (2019) 892-908
    [10] Fangfang Xu,Xin Jin,Lu Zhang,Xiao Dong Chen,“ Investigation on water status and distribution in broccoli and the effects of drying on water status using NMR and MRI methods” Food Research International Volume 96, June 2017, Pages 191-197
    [11] Diffusion Coefficient: Measurement Techniques NMR Method: Principles of NMR and Processing Spin-Echo and CPMG Pulse Sequence。網址:https://reurl.cc/0vbDv6
    [12] 蔣川東,常星,孫佳,李天威,田寶鳳(2017)。《基於L1範數的低場核磁共振T2 譜稀疏反演方法》。
    [13] 周凝,劉寶林,王欣,汪宏志,楊培強,周航(2000)。《米糠毛油摻偽食用植物油的低場核磁共振檢測》。

    無法下載圖示 本全文未授權公開
    QR CODE