臺灣博碩士論文加值系統

近年來隨著個人化醫療的興起，可穿戴式裝置在其中扮演重要的角色，藉由蒐集與監測使用者的健康、運動和生理等數據，可以實現個性化的健康監測、早期發現健康狀況以及慢性病的管理。在生理數據的蒐集上，汗液是良好的量測標的，汗液能夠提供豐富的生理訊息，也能夠進行無創且連續性的量測。
本研究開發了包含奈米枝金結構交聯酪胺酸酶的電化學感測器，用於量測帕金森氏症的藥物左旋多巴在汗液裡濃度表現，以汗液裡的左旋多巴為量測標的，透過連續性的量測可以了解患者長時間藥物的代謝狀況，這些資訊可以提供醫生用於改善患者的投藥策略，使患者能夠獲得最佳的治療效果。在感測器的製造方面，奈米枝金結構能夠為感測器帶來更高的量測電流以及提供生物識別元件固定的錨點，酪胺酸酶則作為左旋多巴的氧化酶，能夠為感測器帶來良好的靈敏度與選擇性。我們採用金絲網印刷電極作為感測器改性的基底電極，並建立與優化改性的步驟，使感測器具有好的效能與可依賴性。本研究著重於利用感測器進行左旋多巴量測，並分析與比較各電化學方法得到的結果，制定出最佳量測方式使得感測器在左旋多巴的量測上呈現優異的效能並滿足左旋多巴在汗液裡的濃度範圍。最後利用感測器在汗液樣本中進行量測來模擬實際應用環境下感測器的表現，而結果顯示了感測器對於汗液中左旋多巴具有選擇性且仍然具備良好的靈敏度。本研究提供資訊與結果能夠作為後續開發可穿戴式汗液感測器的基石。

With the rise of personalized medicine in recent years, wearable devices play an important role in it. Through the collection and tracking of users' health, exercise, and physiological information, we can achieve tailored personalized health monitoring, timely identification of health issues, and effective management of chronic illnesses. For the wearable device, sweat is a good measurement target that can provide rich physiological information and can also be measured non-invasively and continuously.
In this study, an electrochemical sensor involving gold nano-dendritic cross-linked with tyrosinase was developed for the measurement of levodopa, a drug used in Parkinson's disease treatment. Gold screen-printed electrodes were employed as substrates for the modified sensor, and established and optimized the modification steps. For levodopa detection, we assessed the different electrochemical methods, ultimately identifying the most effective one to ensure superior sensor performance. Additionally, we evaluated the sensor's practicality by measuring levodopa in sweat samples, mimicking real-world conditions. and the results demonstrated that the sensor is selective for levodopa in sweat and has good sensitivity. This study serves as a reference for the future development of wearable sweat sensors.

摘要i
ABSTRACTii
目錄iii
圖目錄v
表目錄vii
第一章 緒論1
1.1 前言1
1.2 研究目的2
第二章 研究背景文獻回顧3
2.1左旋多巴簡介3
2.2 透過奈米結構改性的左旋多巴電化學感測器4
2.2.1電極的選擇4
2.2.2奈米結構改法的方法5
2.3電沉積簡介6
2.3.1沉積理論6
2.3.2影響沉積的因素8
2.3.3枝金沉積原理9
2.4電化學簡介9
2.4.1電化學系統10
2.4.2伏安法與安培法介紹10
2.5生物識別元件的固定方法15
第三章 實驗部分與方法17
3.1儀器17
3.2試劑18
3.3溶液配製18
3.4感測器製作流程19
3.4.1 電極預處理19
3.4.2 感測器製作19
3.5電化學量測21
3.5.1金絲網印刷電極氧化還原能力測試21
3.5.2枝金的穩定性與氧化還原能力測試22
3.5.3左旋多巴量測22
3.6差分脈衝伏安法與方波伏安法參數優化24
3.6.1差分脈衝伏安法參數優化24
3.6.2方波伏安法參數優化25
3.7連續量測26
3.8干擾物量測27
3.9實際汗液量測27
第四章 結果與討論28
4.1感測器電化學特性28
4.1.1電極改性前電化學特性28
4.1.2電極改性後電化學特性30
4.2單純金電極左旋多巴量測33
4.3感測器左旋多巴量測38
4.4差分脈衝伏安法與方波伏安法參數優化41
4.4.1差分脈衝伏安法參數優化41
4.4.2方波伏安法參數優化43
4.5左旋多巴連續量測與干擾物測試45
4.6 差分脈衝安培法用於左旋多巴量測與干擾物測試49
4.7效能比較53
4.8 可重複性評估54
4.9實際汗液量測56
4.9.1計時電流法用於汗液的連續量測與干擾物量測56
4.9.2差分脈衝安培法用於汗液的連續量測與干擾物量測59
第五章 結論62
5.1總結62
5.2未來展望63
參考文獻64

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