請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74594
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 林啟萬(Chii-Wann Lin) | |
dc.contributor.author | Chen-Hsuan Hsia | en |
dc.contributor.author | 夏晨軒 | zh_TW |
dc.date.accessioned | 2021-06-17T08:44:42Z | - |
dc.date.available | 2020-08-16 | |
dc.date.copyright | 2019-08-16 | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019-08-06 | |
dc.identifier.citation | [1] Wood, R.W., On a remarkable case of uneven distribution of light in a diffraction grating spectrum. Proceedings of the Physical Society of London, 1902. 18(1): p. 269.
[2] Fano, U., The Theory of Anomalous Diffraction Gratings and of Quasi-Stationary Waves on Metallic Surfaces (Sommerfeld’s Waves). Journal of the Optical Society of America, 1941. 31(3): p. 213-222. [3] Ritchie, R.H., Plasma Losses by Fast Electrons in Thin Films. Physical Review, 1957. 106(5): p. 874-881. [4] Ritchie, R.H., et al., Surface-Plasmon Resonance Effect in Grating Diffraction. Physical Review Letters, 1968. 21(22): p. 1530-1533. [5] Kretschmann, E. and H. Raether, Notizen: Radiative Decay of Non Radiative Surface Plasmons Excited by Light, in Zeitschrift für Naturforschung A. 1968. p. 2135. [6] Otto, A., Excitation of nonradiative surface plasma waves in silver by the method of frustrated total reflection. Zeitschrift für Physik, 1968. 216(4): p. 398- 410. [7] Gupta, B.D. and R.K. Verma, Surface plasmon resonance-based fiber optic sensors: principle, probe designs, and some applications. Journal of sensors, 2009. [8] Ong, B.H., et al., Optimised film thickness for maximum evanescent field enhancement of a bimetallic film surface plasmon resonance biosensor. Sensors and Actuators B: Chemical, 2006. 114(2): p. 1028-1034. [9] Zayats, A.V., I.I. Smolyaninov, and A.A. Maradudin, Nano-optics of surface plasmon polaritons. Physics Reports, 2005. 408(3–4): p. 131-314. [10] Sjölander, S. and C. Urbaniczky, Integrated fluid handling system for biomolecular interaction analysis. Analytical chemistry, 1991. 63(20): p. 2338-2345. [11] https://www.sprpages.nl/spr-overview/spr-theory [12] Homola, J., Surface plasmon resonance sensors for detection of chemical and biological species. Chemical reviews, 2008. 108(2): p. 462-493. [13] Homola, Jiří, and Marek Piliarik. “Surface Plasmon Resonance (SPR) Sensors.” Springer Series on Chemical Sensors and Biosensors Surface Plasmon Resonance Based Sensors, 2006, pp. 45–67., doi:10.1007/5346_014. [14] Wang, Chao, et al. “An Automatic Multi-Thread Image Segmentation Embedded System for Surface Plasmon Resonance Sensor.” Sensors and Actuators A: Physical, vol. 285, 2019, pp. 603–612., doi:10.1016/j.sna.2018.12.007. [15] Yang, J.H., et al. “Optimization of the Mechanical Architecture for a Surface Plasmon Resonance System.”, 2019 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74594 | - |
dc.description.abstract | 表面電漿子共振(surface plasmon resonance, SPR)生物感測器,利用光激發金屬層表面的電子產生共振,觀察在金屬膜層上的樣品分子折射率變化,此偵測方式具有高靈敏度(high-sensitivity)以及即時性(real-time),常用於快速檢測生物化學分子。為了滿足表面電漿共振的條件,除了有良好的光學架構的設計以及表面金屬膜層的條件,選定入射光角度的選定成為激發表面電漿共振現象的一大課題。感測器架構的自動化可排除傳統上人工手動角度調變及肉眼觀察晶片影像的光訊號誤差。因此本論文利用微步電動步進馬達(stepper motor)線性滑軌模組作為角度掃描的控制模組,不僅能提高精度至五倍到十倍,再配合系統流程的演算法結合影像式表面電漿子共振感測器架構,系統會在角度掃描的同時紀錄收集到的光強度訊號,並透過系統演算法自動計算及判斷最佳表面電漿子共振感測器量測角,並使馬達自動定位。
在影像式表面電漿子共振架構下,晶片表面的折射率變化是造成訊號改變的來源,但影響光強度訊號變化的不只有折射率變化,還包括金膜厚度、入射光準直以及系統雜訊。為了消弭感測器上的不均質性,本研究結合自動化感測器校正演算法,自動記錄並計算校正溶液所量測出感測器的響應係數(response coefficient),讓相機量測到的光強度訊號校正回晶片表面的樣品折射率變化。透過上述兩種演算法,能實質提高感測器實驗再現性以及高通量性。 | zh_TW |
dc.description.abstract | Surface plasmon resonance biosensor, which observes the optical signals change by the surface plasmon between the metal film and the dielectric medium. Detection of the SPR biosensor have several advantages such as high sensitivity and real-time detection. Mentioned of these pros, they are often used to quickly detect biochemical molecules. In order to generate surface plasmon resonance, in addition to a good optical architecture, the angle of incident light becomes a major issue in imaging SPR biosensor. An automation of the sensor architecture eliminate the error caused by manual angular modulation and the optical observing by naked eye. Therefore, we use the micro-stepper motor as the control module of angular scanning system and cooperate with a system algorithm , which can not only improve the accuracy by ten times, but also improve experiment efficient. The system records the light intensity signal at the same time as the angle scan, and automatically analyze the best sensor measurement angle. It will finish motor positioning when the sensor measurement angle was analyzed.
Different samples have variant refractive index, which cause the optical signals had changed. Though the change of refractive index is the source of signal, the thickness of metal film, collimation of the incident light and the system miscellaneous also affect the optical signal. To eliminate the heterogeneity on the sensor, we combines the automatic sensor performance calibration algorithm. Analyzing the response coefficient which can reflect the sensitivity of sensor performance to correct the light intensity to the refractive index change of the sample on sensor. With the above of two algorithms, the sensor reproducibility and high throughput can be substantially improved. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T08:44:42Z (GMT). No. of bitstreams: 1 ntu-108-R06548052-1.pdf: 4385359 bytes, checksum: f552fe4b0581d69d98299e4ca5da4237 (MD5) Previous issue date: 2019 | en |
dc.description.tableofcontents | 口試委員審定書 II
誌 謝 III 中文摘要 IV ABSTRACT V 目錄 VI 圖目錄 VIII 表目錄 X 第 1 章 緒論 1 1.1 前言 1 1.2 研究動機與貢獻 2 1.3 論文架構 3 第 2 章 基礎原理和文獻回顧 4 2.1 表面電漿子共振原理 4 2.2 稜鏡式表面電漿共振感測器架構 6 2.2.1 Otto 稜鏡組態 6 2.2.1 Kretschmann 稜鏡組態 6 2.3基於KRETSCHMANN架構的影像式表面電漿子共振感測器架構 6 2.3.1光強度調變式感測器光學架構 6 2.3.2表面電漿子共振感測器角度對光強度分析 7 2.3.3表面電漿子共振感測器傳導函數 8 第 3 章 研究方法及步驟 10 3.1自動化控制系統架構 10 3.1.1自動化掃描系統架構 10 3.2自動化系統設備及套件 11 3.2.1系統光學機構設計 11 3.2.2步進馬達及其套件 13 3.2.3表面電漿子共振影像擷取 17 3.3 自動化系統流程設計 19 3.3.1 Linux 系統 19 3.3.2 Arduino系統 19 3.3.3自動化掃描系統流程演算法 20 3.3.4步進馬達套件控制 20 3.3.5馬達步數與角度的模型建立 25 3.3.6感測器量測角選取及馬達定位 27 3.4表面電漿子共振感測器自動化校正流程 29 3.4.1感測器校正方法 29 3.4.2自動化感測器校正演算法 30 3.4.3線性迴歸求感測器響應係數 33 3.5 TKINTER使用者開發介面架構設計 34 3.6實驗設計及量測步驟 35 3.6.1角度掃描光學架構實驗設計 35 3.6.2鹽類緩衝液濃度梯度之檢測實驗 35 3.6.3感測器校正之實驗設計 35 第 4 章 實驗結果與討論 36 4.1自動化角度掃描系統之操作及流程說明 36 4.2自動化角度掃描及馬達定位實驗之結果 38 4.3鹽類濃度梯度緩衝溶液之檢測 39 4.4自動化感測器校正之結果 40 第 5 章 結論與未來展望 44 參考文獻 45 | |
dc.language.iso | zh-TW | |
dc.title | 表面電漿子共振感測器之自動化角度掃描式影像分析系統 | zh_TW |
dc.title | Automatic Calibration and Control for Angular Scanning based Imaging Surface Plasmon Resonance System | en |
dc.type | Thesis | |
dc.date.schoolyear | 107-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 林致廷(Chih-Ting Lin),施博仁(Po-Jen Shih) | |
dc.subject.keyword | 表面電漿子共振,生物感測器,自動化角度掃描演算法,自動化感測器校正演算法, | zh_TW |
dc.subject.keyword | surface plasmon resonance,biosensor,automatic angular scanning algorithm,automatic sensor performance calibration algorithm, | en |
dc.relation.page | 46 | |
dc.identifier.doi | 10.6342/NTU201901801 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2019-08-07 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 醫學工程學研究所 | zh_TW |
顯示於系所單位: | 醫學工程學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-108-1.pdf 目前未授權公開取用 | 4.28 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。