博碩士論文 105326013 詳細資訊




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姓名 王奕涵(Wang,Yi-Han)  查詢紙本館藏   畢業系所 環境工程研究所
論文名稱 王奕涵
(Wang,Yi-Han)
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摘要(中) 化學需氧量 COD 是用來檢測水中有機物污染程度的一個重要指標,而電化學伏安法分析相較於傳統分析方法有著高靈敏度,低成本,適合現場監測以及對環境具有友善性等優點,因此相對於重鉻酸鉀迴流法而言,極具有未來的發展性。本研究探討利用金奈米粒子/二氧化鈦/單壁奈米碳管複合材料修飾電極進行線性掃描伏安法分析 (LSV),並選用鄰苯二甲酸氫鉀 (KHP)、水楊酸、葡萄糖、單乙醇胺 (MEA) 作為COD之模擬水樣,在其濃度範圍2-250 ppm內進行分析,分析所得的峰電流值與濃度的線性關係,共分為兩區段,分別為2-90 ppm以及100-250 ppm,而2-90 ppm區段相較於100-250 ppm區段有較好的線性關係存在,並發現LSV圖譜會因為模擬水樣的化學結構不同,其所得到的電流氧化峰值位置而不同。將該修飾電極進行再現性分析,其相對誤差為8.826 %,最後使用KHP作為COD模擬水樣,比較在不同濃度下利用LSV與CODcr偵測方法所得到數值之間的關係,發現其變化數值有相同的趨勢。
摘要(英) Chemical oxygen demand (COD) is an important index for detecting the level of organic pollution in water. Voltammetry, an electrochemical analysis, which has many advantages including high sensitivity, low cost, suitable for on-site monitoring, and environmental friendly. When compared to traditional standard method (potassium dichromate reflow method), using electrochemical method for the COD analysis has the development potential. In this research, from 2 to 250 ppm of the potassium hydrogen phthalate (KHP), salicylic acid, glucose, and monoethanolamine (MEA) are selected as a standard aqueous sample of COD to investigate the linear relationship between the peak current and the concentration through the linear sweep voltammetry analysis (LSV) with the GNPs/TiO2/SWCNT modified electrode. The linear relationship is divided into two sections, one is from 2 to 90 ppm and the other one is from 100 to 250 ppm. It can be found the R square of the 2-90 ppm segment is higher than the 100-250 ppm segment. In addition, the LSV curves are different in each of the organic compounds because of the different chemical structures. The reproducibility of the modified electrode is analyzed with a relative error of 8.826%. Finally, the KHP is used as a standard aqueous sample and the COD value obtained by the LSV and by CODcr at different concentration is compared. The relationship between concentration and COD can be found on both these two methods and the trends are the same.
關鍵字(中) ★ 線性掃描伏安法,化學需氧量,金/二氧化鈦/單壁奈米碳管
★ 線性掃描伏安法
★ 化學需氧量
★ 金/二氧化鈦/單壁奈米碳管
關鍵字(英) ★ Linear sweep voltammetry, Chemical oxygen demand, GNPs/TiO2/SWCNT
★ Linear sweep voltammetry
★ Chemical oxygen demand
★ GNPs/TiO2/SWCNT
論文目次 Contents
摘要 i
Abstract ii
致謝 iv
List of Figures x
List of Tables xiii
Chapter 1 Introduction 1
1.1. Background 1
1.2. Objectives 4
Chapter 2 Literature Reviews 6
2.1. Chemical oxygen demand (COD) 6
2.1.1. Chemical oxygen demand (COD) and theoretical oxygen demand (ThOD) 6
2.1.2. Methods for detecting COD 7
2.2. Voltammetry 13
2.2.1. Electrochemical system 13
2.2.2. Cyclic voltammetry (CV) 15
2.2.3. Linear sweep voltammetry (LSV) 20
2.2.4. Electrochemical impedance spectroscopy (EIS) 21
2.3. Electrode materials for detecting COD 25
2.3.1. Carbon nanotube (CNT) 25
2.3.2. Gold nanoparticles (GNPs) 27
2.3.3. Titanium dioxide 29
Chapter 3 Materials and methods 32
3.1. Instruments 33
3.2. Chemicals 34
3.3. Preparation the modified electrode 34
3.3.1. Modification of SWCNTs by nitric acid 34
3.3.2. Fabrication of TiO2/SWCNT 35
3.3.3. Fabricate the TiO2/SWCNT and GNPs/TiO2/SWCNT electrodes 36
3.4. Characterization analysis of the GNPs/TiO2/SWCNT 38
3.5. Voltammetry analysis 40
3.5.1. Scan conditions of voltammetry 40
3.5.2. COD sample analysis 40
3.5.3. Data analysis 41
Chapter 4 Results and discussions 42
4.1. Optimization of electrode preparation 43
4.1.1. Electrode materials selection 43
4.1.2. Selection of electrodeposition parameters 46
4.2. Characteristic analysis of the material 50
4.2.1. Morphology and element analysis of the material 50
4.2.2. Electrochemical performance analysis of the electrode 57
4.3. Optimization of scanning conditions 68
4.3.1. Scan parameters 68
4.3.2. Optimum electrolyte 72
4.4. COD analysis of modeled water 76
4.4.1. KHP 76
4.4.2. MEA 80
4.4.3. Salicylic acid 85
4.4.4. Glucose 89
4.4.5. LSV analysis of different organic solution 92
4.5. Performance of GNPs/TiO2/SWCNT/GCE 95
4.5.1. Comparison of electrochemical and traditional standard methods 95
4.5.2. Reproducibility 97
Chapter 5 Conclusions and Suggestions 98
5.1. Conclusions 99
5.2. Suggestions 100
References 101
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指導教授 秦靜如(Ching-Ju Chin) 審核日期 2018-7-24
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