光控智能界面构建及其在生物中的应用
首发时间:2017-05-17
摘要:光控智能界面在光电子和传感器领域有着广泛的应用。使用光作为调控信号有很多优点,例如提供了更高的时间和空间分辨率,可以实现远程和非侵入性控制。当引入目标生物大分子例如肽类、DNA和小分子(包括叶酸衍生物和糖)来修饰光电开关,可以进一步增强智能表面的检测效率和特异性识别功能。在本文中,基于单糖(半乳糖和甘露糖)修饰的偶氮苯,我们构建了光控自组装单分子层,用电化学方法来检测偶氮的光控异构化性能,以及单糖对蛋白质和细胞选择性粘附性能。在紫外光和可见光的交替照射下,实现了电极表面单糖对选择性凝集素和表达糖受体的细胞的高、低识别之间的相互转化。此外,cis-SAMs表面对选择性蛋白质和细胞具有低结合亲和力,对非选择性蛋白质和细胞样品几乎没有吸附作用,这可以应用于制备表面防污层,在实际应用可以避免不必要的表面污染和探针消耗。此外,所使用的电化学技术促进了基于智能表面的便携式设备的开发,在疫病诊断领域也有广阔的应用前景。
关键词: 应用化学 光控 自组装单分子层 偶氮苯 单糖蛋白质识别
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Construction of Light Control Smart Interface and Its Application in Biology
Abstract: Photoresponsive smart surfaces are promising candidates for a variety of applications in optoelectronics and sensing devices. The use of light as an order signal provides advantages of remote and noninvasive control with high temporal and spatial resolutions. Modification of the photoswitches with target biomacromolecules, such as peptides, DNA, and small molecules including folic acid derivatives and sugars, has recently become a popular strategy to empower the smart surfaces with an improved detection efficiency and specificity. Herein, we report the construction of photoswitchable self-assembled monolayers (SAMs) based on sugar (galactose/mannose)-decorated azobenzene derivatives and determine their photoswitchable, selective protein/cell adhesion performances via electrochemistry. Under alternate UV/vis irradiation, interconvertible high/low recognition and binding affinity toward selective lectins (proteins that recognize sugars) and cells that highly express ?sugar receptors are achieved. Furthermore, the cis-SAMs with a low binding affinity toward selective proteins and cells also exhibit minimal response toward unselective protein and cell samples, which offers the possibility in avoiding unwanted contamination and consumption of probes prior to functioning for practical applications. Besides, the electrochemical technique used facilitates the development of portable devices based on the smart surfaces for on-demand disease diagnosis.
Keywords: Applied Chemistry Photo-switching Self-assembled monolayer Azobenzene Monosaccharide protein recognition
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No.4732759119519014****
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