A Multiscale Approach to Modeling Plasmonic Nanorod Biosensors
A Multiscale Approach to Modeling Plasmonic Nanorod Biosensors
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DOI：
10.1021/acs.jpcc.6b01897
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发表时间：
2016-09-22
影响因子：
3.7
通讯作者：
Kall, Mikael
中科院分区：
文献类型：
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作者：
Antosiewicz, Tomasz J.;Kall, Mikael
由于其强烈增强的光学近场，等离子体纳米结构是有前途的候选人作为超灵敏的单分子结合动力学的无标记传感器。然而，近场响应的空间不均匀性和分子-纳米颗粒相互作用的随机性使纳米等离子体传感数据的解释变得复杂，这使得难以准确地计算每个纳米传感器吸附的分子的数量。我们将电磁计算与随机扩散反应模拟相结合，以研究这两种噪声源如何影响测量的分子缔合和解离速率常数以及最常见类型的等离子体纳米传感器纳米棒浓度的不确定性。使用这种多尺度的计算机工具，我们展示了如何最大限度地减少测量的不确定性，我们确定了定量传感的最佳纳米棒纵横比。
Due to their strongly enhanced optical near fields, plasmonic nanostructures are promising candidates as ultrasensitive label-free sensors of single molecule binding kinetics. However, the interpretation of nanoplasmonic sensing data is complicated by the spatial inhomogeneity of the near-field response and the stochastic nature of molecule-nanoparticle interactions, which makes it difficult to accurately count the number of adsorbed molecules per nanosensor. We combined electromagnetic calculations with stochastic diffusion-reaction simulations in order to investigate how these two sources of noise influence the uncertainty in measured molecular association and dissociation rate constants and concentration for the most common type of plasmonic nanosensor, the nanorod. Using this multiscale in silico tool, we show how to minimize the measurement uncertainty, and we identify the optimum nanorod aspect ratio for quantitative sensing.