Molecular Nanofabrication Group, MESA+ Institute, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
ACS Appl Mater Interfaces. 2021 Dec 8;13(48):58114-58123. doi: 10.1021/acsami.1c16446. Epub 2021 Nov 23.
Biosensors and other biological platform technologies require the functionalization of their surface with receptors to enhance affinity and selectivity. Control over the functionalization density is required to tune the platform's properties. Streptavidin (SAv) monolayers are widely used to immobilize biotinylated proteins, receptors, and DNA. The SAv density on a surface can be varied easily, but the predictability is dependent on the method by which the SAv is immobilized. In this study we show a method to quantitatively predict the SAv coverage on biotinylated surfaces. The method is validated by measuring the SAv coverage on supported lipid bilayers with a range of biotin contents and two different main phase lipids and by using quartz crystal microbalance and localized surface plasmon resonance. We explore a predictive model of the biotin-dependent SAv coverage without any fit parameters. Model and data allow to predict the SAv coverage based on the biotin coverage, in both the low- and high-density regimes. This is of special importance in applications with multivalent binding where control over surface receptor density is required, but a direct measurement is not possible.
生物传感器和其他生物平台技术需要对其表面进行功能化,以增强亲和力和选择性。需要控制功能化密度来调整平台的性能。链霉亲和素 (SAv) 单层广泛用于固定生物素化蛋白、受体和 DNA。表面上的 SAv 密度可以很容易地改变,但可预测性取决于固定 SAv 的方法。在这项研究中,我们展示了一种定量预测生物素化表面上 SAv 覆盖率的方法。该方法通过测量具有不同生物素含量和两种不同主相脂质的支撑脂质双层上的 SAv 覆盖率,并使用石英晶体微天平和局域表面等离子体共振进行了验证。我们探索了一种无拟合参数的生物素依赖性 SAv 覆盖率预测模型。模型和数据允许根据生物素覆盖率预测 SAv 覆盖率,无论是在低密度还是高密度区域。在多价结合的应用中,这一点尤为重要,因为需要控制表面受体密度,但无法进行直接测量。