São Carlos Institute of Physics, University of São Paulo , CP 369, 13560-970 São Carlos, São Paulo, Brazil.
ACS Appl Mater Interfaces. 2014 Sep 10;6(17):14745-66. doi: 10.1021/am5015056. Epub 2014 Jul 9.
Clinical diagnosis has always been dependent on the efficient immobilization of biomolecules in solid matrices with preserved activity, but significant developments have taken place in recent years with the increasing control of molecular architecture in organized films. Of particular importance is the synergy achieved with distinct materials such as nanoparticles, antibodies, enzymes, and other nanostructures, forming structures organized on the nanoscale. In this review, emphasis will be placed on nanomaterials for biosensing based on molecular recognition, where the recognition element may be an enzyme, DNA, RNA, catalytic antibody, aptamer, and labeled biomolecule. All of these elements may be assembled in nanostructured films, whose layer-by-layer nature is essential for combining different properties in the same device. Sensing can be done with a number of optical, electrical, and electrochemical methods, which may also rely on nanostructures for enhanced performance, as is the case of reporting nanoparticles in bioelectronics devices. The successful design of such devices requires investigation of interface properties of functionalized surfaces, for which a variety of experimental and theoretical methods have been used. Because diagnosis involves the acquisition of large amounts of data, statistical and computational methods are now in widespread use, and one may envisage an integrated expert system where information from different sources may be mined to generate the diagnostics.
临床诊断一直依赖于将生物分子有效地固定在具有保留活性的固体基质中,但近年来,随着对有序薄膜中分子结构的控制能力不断提高,取得了重大进展。特别重要的是与纳米粒子、抗体、酶和其他纳米结构等不同材料协同作用,在纳米尺度上形成有序结构。在这篇综述中,重点将放在基于分子识别的生物传感纳米材料上,其中识别元件可以是酶、DNA、RNA、催化抗体、适体和标记生物分子。所有这些元件都可以组装在纳米结构薄膜中,其层层性质对于在同一器件中结合不同的特性是必不可少的。可以使用多种光学、电学和电化学方法进行传感,对于生物电子设备中的纳米粒子等,也可能依赖于纳米结构来提高性能。此类设备的成功设计需要研究功能化表面的界面特性,为此已经使用了各种实验和理论方法。由于诊断涉及大量数据的获取,现在统计和计算方法得到了广泛的应用,人们可以设想一个集成的专家系统,其中可以从不同的来源挖掘信息来生成诊断结果。