UNAM-National Nanotechnology Research Center and Institute of Materials Science Nanotechnology, Bilkent University, Ankara, Turkey.
Methods Mol Biol. 2022;2385:237-253. doi: 10.1007/978-1-0716-1767-0_11.
Surface plasmon resonance (SPR) is a real-time kinetic measurement principle that can probe the kinetic interactions between ligands and their binding sites, and lies at the backbone of pharmaceutical, biosensing, and biomolecular research. The extraction of dissociation rates from SPR-response signals often relies on several commonly adopted assumptions, one of which is the exponential decay of the dissociation part of the response signal. However, certain conditions, such as high density of binding sites or high concentration fluctuations near the surface as compared to the bulk, can lead to non-exponential decays via ligand rebinding or facilitated dissociation. Consequently, fitting the data with an exponential function can underestimate or overestimate the measured dissociation rates. Here, we describe a set of alternative fit functions that can take such effects into consideration along with plasmonic sensor design principles with key performance metrics, thereby suggesting methods for error-free high-precision extraction of the dissociation rates.
表面等离子体共振(SPR)是一种实时动力学测量原理,可探测配体与其结合位点之间的动力学相互作用,是药物、生物传感和生物分子研究的基础。从 SPR 响应信号中提取离解速率通常依赖于几个常用的假设,其中之一是响应信号的离解部分呈指数衰减。然而,在某些条件下,例如与体相相比,结合位点密度较高或表面附近的浓度波动较大,配体的重新结合或促进离解可能导致非指数衰减。因此,用指数函数拟合数据可能会低估或高估测量的离解速率。在这里,我们描述了一组替代的拟合函数,这些函数可以考虑到这些影响,以及等离子体传感器设计原理和关键性能指标,从而提出了无误差高精度提取离解速率的方法。