Rational selection of gold nanorod geometry for label-free plasmonic biosensors.
Rational selection of gold nanorod geometry for label-free plasmonic biosensors.
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DOI：
10.1021/nn8006465
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发表时间：
2009-04-28
期刊：
影响因子：
17.1
通讯作者：
Chilkoti, Ashutosh
中科院分区：
文献类型：
--
作者：
Nusz, Greg J.;Curry, Adam C.;Marinakos, Stella M.;Wax, Adam;Chilkoti, Ashutosh
关键词：
我们提出了一个分析模型，该模型可用于基于单个金纳米颗粒的局部表面等离子体共振(LSPR)的位移来合理设计生物传感器。该模型将单个等离子体纳米粒子散射的光的峰值波长与结合的分析物分子的数量联系起来，并提供了一个解析公式，该公式预测了传感器的相关品质因数，如分子检测极限(MDL)和动态范围作为纳米粒子几何形状和检测系统参数的函数。该模型计算被纳米棒结合的单个分子的LSPR位移，从而将MDL定义为系统可测量的最小结合分子数量，将动态范围定义为单个纳米棒可以检测到的最大分子数量。该模型是有用的，因为它将允许LSPR传感器的先验设计，其品质因数可以针对目标分析物进行优化。该模型被用来设计一种基于生物素功能化的金纳米棒的LSPR传感器，为这类传感器提供了最低的MDL。该模型预测了该传感器的18个链霉亲和素分子的MDL，这与实验和估计很好地一致。进一步，我们讨论了如何利用该模型来指导未来几代LSPR生物传感器的发展。
We present the development of an analytical model that can be used for the rational design of a biosensor based on shifts in the local surface plasmon resonance (LSPR) of individual gold nanoparticles. The model relates the peak wavelength of light scattered by an individual plasmonic nanoparticle to the number of bound analyte molecules and provides an analytical formulation that predicts relevant figures-of-merit of the sensor such as the molecular detection limit (MDL) and dynamic range as a function of nanoparticle geometry and detection system parameters. The model calculates LSPR shifts for individual molecules bound by a nanorod, so that the MDL is defined as the smallest number of bound molecules that is measurable by the system, and the dynamic range is defined as the maximum number of molecules that can be detected by a single nanorod. This model is useful because it will allow a priori design of an LSPR sensor with figures-of-merit that can be optimized for the target analyte. This model was used to design an LSPR sensor based on biotin-functionalized gold nanorods that offers the lowest MDL for this class of sensors. The model predicts a MDL of 18 streptavidin molecules for this sensor, which is in good agreement with experiments and estimates. Further, we discuss how the model can be utilized to guide the development of future generations of LSPR biosensors.
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影响因子：
4.2
作者：
Englebienne, P
通讯作者：
Englebienne, P
影响因子：
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