本研究旨在建立一套標準的調配方式作為快速取得表面強化拉曼散射效應 (surface enhanced Raman scattering, SERS) 的檢測基底。現今科學家對於人類基因的研究越來越重視，而去氧核糖核酸(Deoxyribonucleic acid, DNA)的研究更是科學家們研究的重點。拉曼光譜技術對於研究DNA的結構與其分子鍵結的資訊有很大的幫助。由於拉曼光譜有波峰窄、且不易受到水分子及螢光效應的影響，所以能夠清楚的知道分子的結構特徵與分子和分子間鍵結的強度等資訊，而且因為訊號的波峰狹窄，不易與其他波峰重疊，所以每個分子的拉曼訊號都是獨特的，如同分子的指紋，也因為如此，拉曼光譜對於DNA的判別有著很大的優勢。
本研究主要以製作奈米膠體銀溶液，利用膠體銀溶液中的奈米銀粒子，吸附染料分子Rhodamine 6G，量測表面增強拉曼訊號，並測試奈米膠體銀溶液對於單分子偵測的能力。首先利用化學還原法 (chemical reduction) 製作膠體銀溶液，同時加入氯化鈉溶液使奈米銀粒子聚集以吸附染料分子，並配合田口方法作實驗的調配參數及水準值的組合規劃，量測表面增強拉曼訊號與Blinking訊號。為了達到多品質特性最佳化的目標，本研究以田口直交表作實驗規劃，並透過變異數分析找出針對SERS訊號與Blinking訊號單一品質的最佳調配參數組合，利用這兩組單一品質最佳的參數組合作為基因演算法中初代族群的親代基因，演化出高適應函數值的下一代族群。並搭配倒傳遞類神經系統作為基因演算法中的適應函數指標，直到演化出多品質最佳化的基因組合。
最後由上述方法找尋出來的多品質最佳調配參數組合為氯化鈉含量600μl、混合攪拌時間90min、硼氫化鈉濃度 、染料分子濃度 ，並透過確認實驗，驗證其表面強化拉曼訊號的強度與單分子偵測的能力。

Research of the human genome and DNA molecules have been advanced with the use of Raman spectrum to determine the structure of molecules and bond strengths. The advancement and beneficiary in DNA analysis can be due to certain crucial features of Raman spectroscopy, such as narrow peaks and less susceptibility to water and fluorescence.
In this study, we produced a colloidal silver solution, used the nano-particle of silver to adsorb the molecules of the dye Rhodamine 6G, measured the surface enhanced Raman scattering signal, and tested the capability of detecting molecules. We specifically produced the colloidal silver solution by the chemical reduction method, and then added the sodium chloride solution for changing the nano-silver particles to the silver cluster. We then applied the silver cluster to adsorb the dye molecules. We chose the control factors and the quality characteristics by using the Taguchi Method. To achieve the optimal quality characteristics of multi-objectivity, we used the initial group obtained from the result of Taguchi Method and applied Genetic Algorithm to generate the progeny group. Next, we calculated the fitness function of the Genetic Algorithm with a Back Propagation Neural Network, and we used the Genetic Algorithm to evolve a gene combination including factors to optimize multiple characteristics. We lastly adopted the gene combination with optimal factors combination to verify the surface enhanced Raman scattering signal intensity and single-molecule detection capability.

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