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通用和适应性有机硅自组装单分子层的综合制备方法,作为用于生化应用的可调表面化学平台。

General and adaptive synthesis protocol for high-quality organosilane self-assembled monolayers as tunable surface chemistry platforms for biochemical applications.

机构信息

Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.

European Commission, Joint Research Centre (JRC), Via E. Fermi, 2749, 2102, Ispra, Italy.

出版信息

Biointerphases. 2020 Jul 22;15(4):041005. doi: 10.1116/6.0000250.

Abstract

The controlled modification of surface properties represents a pervasive requirement to be fulfilled when developing new technologies. In this paper, we propose an easy-to-implement protocol for the functionalization of glass with self-assembled monolayers (SAMs). The adaptivity of the synthesis route was demonstrated by the controlled anchoring of thiol, amino, glycidyloxy, and methacrylate groups onto the glass surface. The optimization of the synthetic pathway was mirrored by extremely smooth SAMs (approximately 150 pm roughness), layer thickness comparable to the theoretical molecule length, absence of silane islands along the surface, quasi-unitary degree of packing, and tailored wettability and charge. The functionalization kinetics of two model silanes, 3-mercapto- and 3-amino-propyltrimethoxysilane, was determined by cross-comparing x-ray photoelectron spectroscopy and time of flight secondary ion mass spectrometry data. Our SAMs with tailored physicochemical attributes will be implemented as supports for the crystallization of pharmaceuticals and biomolecules in upcoming studies. Here, the application to a small molecule drug model, namely aspirin, was discussed as a proof of concept.

摘要

控制表面性质的修饰是开发新技术时普遍需要满足的要求。在本文中,我们提出了一种易于实施的将自组装单层(SAMs)功能化到玻璃表面的方案。通过将硫醇、氨基、缩水甘油氧基和甲基丙烯酰基基团可控地锚定到玻璃表面,证明了合成路线的适应性。通过极其光滑的 SAM(约 150 pm 的粗糙度)、与理论分子长度相当的层厚、表面上没有硅烷岛、近乎完全的组装度以及可调节的润湿性和电荷,反映了合成途径的优化。通过交叉比较 X 射线光电子能谱和飞行时间二次离子质谱数据,确定了两种模型硅烷(3-巯基丙基三甲氧基硅烷和 3-氨基丙基三甲氧基硅烷)的功能化动力学。我们具有定制物理化学属性的 SAM 将在未来的研究中用作药物和生物分子结晶的支撑。在此,我们讨论了将其应用于小分子药物模型阿司匹林的情况,作为概念验证。

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