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研究生:金昆詠
研究生(外文):JIN, KUN-YONG
論文名稱:血糖量測之葡萄糖生物感測器製程技術影響與評估
論文名稱(外文):Evaluation of The Effect of Processing Technology on Glucose Biosensor Measurement
指導教授:張合李仁方李仁方引用關係
指導教授(外文):CHANG, HOLEE, JEN-FANG
口試委員:張合李仁貴李文德李仁方許春耀張鴻銘陳治豪
口試委員(外文):CHANG, HOLEE, REN-GUEILEE, WIN-DERLEE, JEN-FANGSYU, CHUN-YAOJHANG, HONG-MINGCHEN, JHIH-HAO
口試日期:2020-03-24
學位類別:博士
校院名稱:國立臺北科技大學
系所名稱:製造科技研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:英文
論文頁數:181
中文關鍵詞:噴射點膠生化感測器線性回歸標準差變異係數
外文關鍵詞:Jetting DispenserbiosensorLinear Regressionstandard deviation (STD)coefficient of variation(CV)
相關次數:
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  • 點閱點閱:454
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摘要 i
ABSTRACT iii
誌謝 vi
Table of Content vii
Table of Tables xiii
Table of Figures xvi
Chapter 1 Introduction 1
1.1 Introduction 1
1.2 Research Background 2
1.3 Research Motivation and Objectives 3
1.4 Thesis Structure 5
Chapter 2 Literature Review 6
2.1 Literature review 6
2.1.1Glucose biochemical sensor characteristics 6
2.1.2 Electrochemical characteristics of glucose biochemical sensor 11
2.1.3 Dispensing process for making glucose biochemical sensor 15
2.1.4 Blood glucose meter analysis characteristics 19
2.1.5 big data prediction 22
2.2 Glucose concentration standard 24
2.3 The effect of rheology (fluid flow) in jet dispensing 27
2.4 Chemical reaction of glucose oxidase 29
2.5 Cyclic Voltammetry (CV) 30
2.6 Chronoamperometry(CA) 34
2.7 Electrochemical impedance spectroscopy (EIS) 35
2.8 Measurement accuracy of blood glucose meter 37
2.9 Working principle of YSI 38
2.10 YSI whole blood error grid analysis 39
2.10.1 Fasting blood glucose 43
2.10.2 Pre-prandial blood glucose 43
2.10.3 Random blood glucose 43
2.12 Simple Linear Regression 43
2.13 NumPy 44
2.14 Numpy array 45
2.15 Decision Model (tree structure) 46
2.16 Naive Bayes classifier 47
Chapter 3 Experiment and Design 49
3.1 Glucose biochemical sensor reaction zone structure 49
3.2 Fluid pressure of jet dispensing 50
3.3 Asytemk Dispensing System 52
3.4 non-contact Dispenser Jet 53
3.5 DJ-9000 jet dispensing valve operation 55
3.6 Blood glucose test strip substrate 57
3.7 Fabrication of glucose biochemical sensor 60
3.8 Preparation of GOD reagent (solution) 61
3.9 Blood glucose meter circuit measurement duty cycle 62
3.10 Circuit design of blood glucose meter 63
3.11 Blood glucose meter operating circuit characteristics 64
3.12 Blood glucose meter signal resolution 66
3.13 Smart blood sugar design process 66
3.14 Cyclic voltammetry analysis 70
3.15 CHI1221 Electrochemical analyzer 70
3.16 Working principle of YSI 2300 analyzer 73
3.17 YSI 2300 Stat Plus Measurement Methodology 74
3.18 Blood glucose measurement process 75
Chapter 4 Results and Discussion 77
4.1 Standard solution drawn by glucose biochemical sensor 77
4.2 Electrochemical analysis 78
4.3 Effect of the dispensing valve without pressure stabilizing device on the stability of the dispensed droplets 83
4.4 Effect of the dispensing valve with pressure stabilizing device on the stability of the dispensed droplets 85
4.5 Effect of dispensing Valve with automatic pressure compensation device on the stability of the dispensed droplets 87
4.6 Effect of dispensing fluid pressure on test strip readings 89
4.6.1 Effect of dispensing fluid pressure on the STD (Standard Deviation) and the CV (Coefficient of Variation) of the test strip 89
4.6.2 Accuracy of test strip prepared under different fluid pressures 91
4.6.3 Linear regression analysis of the results of test strips prepared under different fluid pressures 93
4.6.4 Consensus Error Grid analysis of the results of the test strips prepared under different fluid pressures 96
4.6.5 Bias analysis of the results of test strips prepared under different fluid pressures 98
4.7 Effect of dispensing height on test strip readings 101
4.7.1 Effect of dispensing height on the STD (Standard Deviation) and the CV (Coefficient of Variation) of the test strip 101
4.7.2 Accuracy of test strip prepared at different dispensing heights .103
4.7.3 Linear regression analysis of the results of test strips prepared at different dispensing heights 105
4.7.4 Consensus Error Grid analysis of the results of the test strips prepared at different dispensing heights 108
4.7.5 Bias analysis of the results of test strips prepared at different dispensing heights 111
4.8 Effect of striker (needle) lubrication on test strip readings 113
4.8.1 Effect of striker (needle) lubrication on the STD (Standard Deviation) and the CV (Coefficient of Variation) of the test strip 113
4.8.2 Accuracy of test strip prepared by the striker covered with different amount of grease 116
4.8.3 Linear regression analysis of the results of test strips prepared by the striker covered with different amount of grease 118
4.8.4 Consensus Error Grid analysis of the results of the test strips prepared by the striker covered with different amount of grease 121
4.8.5 Bias analysis of the results of test strips prepared by the striker covered with different amount of grease 123
4.9 Effect of resistance on accuracy of test strip readings 126
4.9.1 Effect of blood glucose meter resistance on the STD (Standard Deviation) and the CV (Coefficient of Variation) of the test strip 126
4.9.2 Effect of blood glucose meter resistance on the accuracy of the control solution tests 129
4.9.3 Linear regression analysis of the results of test strips measured by blood glucose meter with different resistances 131
4.9.4 Consensus Error Grid analysis of the results of the test strips measured by blood glucose meter with different resistances 134
4.9.5 Bias analysis of the results of test strips measured by blood glucose meter with different resistances 137
4.10 Effect of blood glucose meter potential on the performance of glucose biochemical sensor 139
4.10.1Effect of blood glucose meter potential on the STD (Standard Deviation) and the CV (Coefficient of Variation) of the test strip 139
4.10.2 Effect of blood glucose meter potential on the accuracy of the control solution tests 141
4.10.3 Voltage and time correlation curve analysis 143
4.10.4 Linear regression analysis of the results of test strips measured by blood glucose meter with different reference potential 147
4.10.5 Consensus Error Grid analysis of the results of the test strips measured by blood glucose meter with different reference potentials 150
4.10.6 Bias analysis of the results of test strips measured by blood glucose meter with different reference potential 153
4.11 Analysis of blood glucose prediction calculation 156
4.11.1 Python blood glucose prediction algorithm codes 156
4.11.2 blood glucose prediction trend 158
4.11.3 Linear regression model prediction accuracy 161
Chapter 5 Conclusion and Future Work 163
5.1 Stability of jet dispensing droplets 163
5.2 Deviation analysis of the effect of jet dispensing fluid pressure on test strip reading 163
5.3 Deviation analysis of the effect of jet dispensing height on test strip reading 164
5.4 Deviation analysis of the effect of grease on test strip reading 165
5.5 Deviation analysis of the effect of R3 resistance on test strip reading .165
5.6 Deviation analysis of the effect of blood glucose meter reference potential on test strip reading 166
5.7Analysis of blood glucose prediction calculation 167
5.8 Future Directions 167
References 169
Educational Background 181
Research Achievements 181

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