A Graphene-Based Sensor Array for High-Precision and Adaptive Target Identification with Ensemble Aptamers
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- 作者：Hao Pei ; Jiang Li ; Min Lv ; Jingyan Wang ; Jimin Gao ; Jianxin Lu ; Yongping Li ; Qing Huang ; Jun Hu ; Chunhai Fan
- 刊名：The Journal of the American Chemical Society
- 出版年：2012
- 出版时间：August 22, 2012
- 年：2012
- 卷：134
- 期：33
- 页码：13843-13849
- 全文大小：406K
- 年卷期：v.134,no.33(August 22, 2012)
- ISSN：1520-5126
文摘
In this work, we report a new concept of adaptive 鈥渆nsemble aptamers鈥?(ENSaptamers) that exploits the collective recognition abilities of a small set of rationally designed, nonspecific DNA sequences to identify molecular or cellular targets discriminatively. In contrast to in vitro-selected aptamers, which possess specific 鈥渓ock-and-key鈥?recognition, ENSaptamers rely on pattern recognition that mimics natural olfactory or gustatory systems. Nanographene oxide was employed to provide a low-background and highly reproducible fluorescent assay system. We demonstrate that this platform provides a highly discriminative and adaptive tool for high-precision identification of a wide range of targets for diagnostic and proteomic applications with a nearly unlimited supply of ENSaptamer receptors.