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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79496完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 盧彥文(Yen-Wen Lu) | |
| dc.contributor.author | Kuan-Yu Lin | en |
| dc.contributor.author | 林冠宇 | zh_TW |
| dc.date.accessioned | 2022-11-23T09:01:54Z | - |
| dc.date.available | 2022-02-21 | |
| dc.date.available | 2022-11-23T09:01:54Z | - |
| dc.date.copyright | 2022-02-21 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-02-09 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79496 | - |
| dc.description.abstract | 我們開發一種用於線上測量血液透析、即時得知透析廢液(spent dialysate)中尿酸和β2-微球蛋白濃度的光電系統。此光電系統是由兩組紫外光波段的發光二極體、流通槽和光感測二極體組成；一組用於在波長為278 nm波峰測量尿酸的吸收光度(absorbance)，而另一組用於在波長為315 nm波峰測量β2-微球蛋白的吸收光度。量測血液透析時流過流通槽透析廢液的吸光值。在流通槽上，我們使用圓柱形的設計來減少全內折射並減少迷光(strait light)進入光感測器，以獲得更好的線性度和最小的比爾定律偏差。該系統首先使用標準溶液解進行校準，並安裝至商用的血液透析機，來量測臨床研究中六名患者的10次血液透析療程的分子濃度變化。除了證明使用我們的光電系統可以量測出透析廢液中尿酸和β2-微球蛋白的濃度外，將量測結果配合支持向量機回歸(SVM regression)法，我們可以預測患者血清中的尿酸與β2-微球蛋白濃度，其中尿酸有R2 = 0.8482，β2-微球蛋白有 R2 = 0.7208的極佳相關性。這些成果展示了我們的系統具有線上監測血液透析的巨大潛力。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-23T09:01:54Z (GMT). No. of bitstreams: 1 U0001-0802202213173400.pdf: 2955431 bytes, checksum: 0ad65d70ee809994fa036dcb2455c73f (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 致謝 i 中文摘要 iii Abstract iv List of Figures viii List of Tables xii Chapter 1 Introduction 1 1.1 Hemodialysis 1 1.2 Ion sensitive field effect transistors (ISFETs) and electrochemical sensors 2 1.3 Optoelectronic sensor 2 Chapter 2 Literature Review 4 2.1 Ionic measurement 4 2.1.1 Conductivity measurement 4 2.1.2 Electromotive force measurement 5 2.2 Measurement of Molecule Concentrations using Optical Means 6 2.2.1 Scattering 6 2.2.2 Absorption 8 2.2.2.1 Infrared (IR) light 8 2.2.2.2 Ultraviolet (UV) light 10 2.3 Ion sensitive field effect transistors (ISFETs) and electrochemical sensors 14 2.4 Optoelectronic sensor 16 Chapter 3 Materials and Methods 20 3.1 Optoelectronic system 20 3.1.1 Light source module 21 3.1.2 Flow cell module 21 3.1.3 Signal processing module 22 3.2 Standard sample calibration 22 3.3 Experimental setup 23 3.4 Measurement in clinical trials 24 3.4.1 Sampling protocol in biochemical analysis 25 3.4.2 Sampling protocol in absorbance measurement 26 3.5 Data analysis and prediction models 27 3.5.1 Linear regression approach 28 3.5.2 Support vector machine (SVM) regression approach 28 Chapter 4 Results and Discussions 30 4.1 Optical design 30 4.1.1 Flow cell shape optimization 30 4.1.2 Optical path design 35 4.2 Calibration on spent dialysate 39 4.3 Online monitoring on spent dialysate during HD 39 4.4 Quantitative analysis and prediction model 41 4.4.1 Linear regression 41 4.4.2 SVM regression 42 4.5 The cleaning rate analysis 43 4.6 Optical design 44 4.7 HD monitoring 45 4.8 Molecular concentration assays in blood 46 4.9 Molecules removal 46 Chapter 5 Conclusion 46 References 47 Appendix A Code of SVM regression 55 | |
| dc.language.iso | en | |
| dc.title | 光學線上監測系統用於血液透析與資料分析 | zh_TW |
| dc.title | Optical online monitoring system for hemodialysis and data analysis | en |
| dc.date.schoolyear | 110-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.author-orcid | 0000-0002-8864-9722 | |
| dc.contributor.oralexamcommittee | 林水龍(Nai-Hwa Lien),徐振哲(Chien-Wei Chen),張智星(Chung-Chiang Hsiao) | |
| dc.subject.keyword | 線上監測,吸收光譜學,比爾定律,定量分析,機器學習, | zh_TW |
| dc.subject.keyword | online monitoring,absorbance/transmittance,Beer's Law,quantitative analysis,machine learning, | en |
| dc.relation.page | 56 | |
| dc.identifier.doi | 10.6342/NTU202200371 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2022-02-11 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物機電工程學系 | zh_TW |
| 顯示於系所單位： | 生物機電工程學系 | |
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