...
首页> 外文期刊>Nano letters >Chemical functionalization of graphene enabled by phage displayed peptides
【24h】

Chemical functionalization of graphene enabled by phage displayed peptides

机译:噬菌体展示肽可实现石墨烯的化学功能化

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The development of a general approach for the nondestructive chemical and biological functionalization of graphene could expand opportunities for graphene in both fundamental studies and a variety of device platforms. Graphene is a delicate single-layer, two-dimensional network of carbon atoms whose properties can be affected by covalent modification. One method for functionalizing materials without fundamentally changing their inherent structure is using biorecognition moieties. In particular, oligopeptides are molecules containing a broad chemical diversity that can be achieved within a relatively compact size. Phage display is a dominant method for identifying peptides that possess enhanced selectivity toward a particular target. Here, we demonstrate a powerful yet benign approach for chemical functionalization of graphene via comprehensively screened phage displayed peptides. Our results show that graphene can be selectively recognized even in nanometer-defined strips. Further, modification of graphene with bifunctional peptides reveals both the ability to impart selective recognition of gold nanoparticles and the development of an ultrasensitive graphene-based TNT sensor. We anticipate that these results could open exciting opportunities in the use of graphene in fundamental biochemical recognition studies, as well as applications ranging from sensors to energy storage devices.
机译:石墨烯的非破坏性化学和生物功能化通用方法的发展可能会在基础研究和各种设备平台中扩大石墨烯的机会。石墨烯是精细的单层二维碳原子网络,其性质可能会受到共价修饰的影响。在不从根本上改变其固有结构的情况下对材料进行功能化的一种方法是使用生物识别部分。特别地,寡肽是包含广泛化学多样性的分子,其可以在相对紧凑的尺寸内实现。噬菌体展示是鉴定对特定靶标具有增强的选择性的肽的主要方法。在这里,我们展示了通过全面筛选的噬菌体展示肽对石墨烯进行化学功能化的强大而良性的方法。我们的结果表明,即使在纳米级条带中,石墨烯也可以被选择性识别。此外,用双功能肽修饰石墨烯揭示了赋予金纳米颗粒选择性识别能力和超灵敏的基于石墨烯的TNT传感器的发展。我们预计,这些结果将为在基础生化识别研究以及从传感器到储能设备的应用中使用石墨烯带来令人兴奋的机遇。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号