Qavi Abraham J, Washburn Adam L, Byeon Ji-Yeon, Bailey Ryan C
Department of Chemistry, University of Illinois at Urbana-Champaign, 600 S. Mathews Ave, Urbana, IL 61801, USA.
Anal Bioanal Chem. 2009 May;394(1):121-35. doi: 10.1007/s00216-009-2637-8. Epub 2009 Feb 17.
In the postgenomic era, information is king and information-rich technologies are critically important drivers in both fundamental biology and medicine. It is now known that single-parameter measurements provide only limited detail and that quantitation of multiple biomolecular signatures can more fully illuminate complex biological function. Label-free technologies have recently attracted significant interest for sensitive and quantitative multiparameter analysis of biological systems. There are several different classes of label-free sensors that are currently being developed both in academia and in industry. In this critical review, we highlight, compare, and contrast some of the more promising approaches. We describe the fundamental principles of these different methods and discuss advantages and disadvantages that might potentially help one in selecting the appropriate technology for a given bioanalytical application.
在后基因组时代,信息为王,富含信息的技术是基础生物学和医学的关键驱动因素。现在已知单参数测量仅提供有限的细节,而多个生物分子特征的定量分析可以更全面地阐明复杂的生物学功能。无标记技术最近在生物系统的灵敏和定量多参数分析方面引起了极大的关注。目前,学术界和工业界都在开发几种不同类型的无标记传感器。在这篇批判性综述中,我们重点介绍、比较和对比了一些更有前景的方法。我们描述了这些不同方法的基本原理,并讨论了其优缺点,这可能有助于人们为特定的生物分析应用选择合适的技术。