Rafati Ali, Ter Veen Rik, Castner David G
National ESCA and Surface Analysis Center for Biomedical Problems, Departments of Bioengineering and Chemical Engineering, University of Washington, Seattle, WA, 98195.
Surf Interface Anal. 2013 Nov;45(11-12). doi: 10.1002/sia.5315.
With the widespread use of engineered nanoparticles for biomedical applications, detailed surface characterization is essential for ensuring reproducibility and the quality/suitability of the surface chemistry to the task at hand. One important surface property to be quantified is the overlayer thickness of self-assembled monolayer (SAM) functionalized nanoparticles, as this information provides insight into SAM ordering and assembly. We demonstrate the application of high sensitivity low energy ion scattering (HS-LEIS) as a new analytical method for the fast thickness characterization of SAM functionalized gold nanoparticles (AuNPs). HS-LEIS demonstrates that a complete SAM is formed on 16-mercaptohexadecanoic acid (C16COOH) functionalized 14 nm AuNPs. HS-LEIS also experimentally provides SAM thickness values that are in good agreement with previously reported results from simulated electron spectra for surface analysis (SESSA) analysis of X-ray photoelectron spectroscopy (XPS) data. These results indicate HS-LEIS is a valuable surface analytical method for the characterization of SAM functionalized nanomaterials.
随着工程纳米颗粒在生物医学应用中的广泛使用,详细的表面表征对于确保可重复性以及表面化学性质与手头任务的质量/适用性至关重要。一个需要量化的重要表面性质是自组装单分子层(SAM)功能化纳米颗粒的覆盖层厚度,因为该信息能深入了解SAM的有序排列和组装情况。我们展示了高灵敏度低能离子散射(HS-LEIS)作为一种新的分析方法,用于快速表征SAM功能化金纳米颗粒(AuNP)的厚度。HS-LEIS表明在16-巯基十六烷酸(C16COOH)功能化的14纳米AuNP上形成了完整的SAM。HS-LEIS还通过实验提供了SAM厚度值,这些值与先前报道的基于X射线光电子能谱(XPS)数据的模拟电子光谱表面分析(SESSA)分析结果高度一致。这些结果表明HS-LEIS是一种用于表征SAM功能化纳米材料的有价值的表面分析方法。