https://scholars.lib.ntu.edu.tw/handle/123456789/150203
標題: | 多變數曲線分析應用於混合光譜的分離 Multivariate Curve Resolutionpplied to Separate Mixture Spectra |
作者: | 劉俊佑 Liu, Chun-You |
關鍵字: | 多變數曲線分析結合最小平方法;暗場顯微鏡;金屬奈米粒子;限制條件;濃度矩陣;MCR-ALS;darkfield microscopy;metal nanoparticles;constraints;concentration matrix | 公開日期: | 2008 | 摘要: | 本文將多變數曲線分析結合最小平方法(Multivariate curve resolution- Alternative Least Square, MCR-ALS),應用於金屬奈米粒子的混合光譜解析。混合光譜分別透過三種方式取得,一是利用高斯函數模擬混合光譜。二是透過暗場顯微鏡系統(dark field microscopy system),量測金、銀奈米粒子(nanoparticles)與金奈米桿子(nanorods)的散射光譜,進行數值混合。三是先將金屬奈米粒子進行實驗上的混合,再量取混合光譜。在交替最小平方法(alternative least square)部分,採用非負值(non-negativity)與單一行狀(unimodality)的限制條件(constraints)。實驗結果的濃度矩陣(concentration matrix)代表了量化資訊,在生物晶片與醫學診斷上的應用,扮演了重要角色。 The multivariate curve resolution- alternative least square, MCR-ALS method is applied to separate metal nanoparticles mixture spectra. The mixture spectra were got from three kinds of methods. First is using Gaussian function to simulate the mixture spectra. Second is using darkfield microscopy system to measure the scattering spectra of gold, sliver nanoparticles and gold nanorods ,and then to do numerical mixture. Third is to do experimental mixture of metal nanoparticles, and then measure the scattering mixture spectra. The constraints conditions, non-negativity and unimodality are used in alternative least square. The concentration metrics represent the quantification information which play an important role in biomedical microarray and diagnosis. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/187938 |
顯示於: | 電機工程學系 |
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ntu-97-R95921045-1.pdf | 23.32 kB | Adobe PDF | 檢視/開啟 |
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