4.8 Article

A single-molecule electrical approach for amino acid detection and chirality recognition

期刊

SCIENCE ADVANCES
卷 7, 期 10, 页码 -

出版社

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abe4365

关键词

-

资金

  1. National Key R&D Program of China [2017YFA0204901]
  2. National Natural Science Foundation of China [21727806, 21933001, 21688102]
  3. Tencent Foundation through the XPLORER PRIZE
  4. JSPS KAKENHI [19H02696, 19K15629, 19K22179, 19K21963, 20H05092]
  5. JST CREST [JPMJCR19l2]
  6. ERCA Japan [5RF-1802]
  7. Grants-in-Aid for Scientific Research [20H05092, 19K21963, 19K15629, 19K22179] Funding Source: KAKEN

向作者/读者索取更多资源

By utilizing a single-molecule electrical methodology based on stable graphene-molecule-graphene structures, amino acids can be efficiently discriminated by varying pH values. Experimental results demonstrate the ability to identify amino acids based on different host-guest interactions, enabling accurate measurements within nanoseconds.
One of the ultimate goals of analytic chemistry is to efficiently discriminate between amino acids. Here we demonstrate this ability using a single-molecule electrical methodology based on molecular nanocircuits formed from stable graphene-molecule-graphene single-molecule junctions. These molecular junctions are fabricated by covalently bonding a molecular machine featuring a permethylated-beta-cyclodextrin between a pair of graphene point contacts. Using pH to vary the type and charge of the amino acids, we find distinct multimodal current fluctuations originating from the different host-guest interactions, consistent with theoretical calculations. These conductance data produce characteristic dwell times and shuttling rates for each amino acid, and allow accurate, statistical real-time, in situ measurements. Testing four amino acids and their enantiomers shows the ability to distinguish between them within a few microseconds, thus paving a facile and precise way to amino acid identification and even single-molecule protein sequencing.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据