氨基酸
分子
手性(物理)
分子识别
化学
纳米技术
材料科学
计算机科学
生物系统
物理
生物
有机化学
生物化学
夸克
量子力学
手征对称破缺
Nambu–Jona Lasinio模型
作者
Zihao Liu,Xingxing Li,Hiroshi Masai,Xinyi Huang,S. Tsuda,Jun Terao,Jinlong Yang,Xuefeng Guo
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2021-03-03
卷期号:7 (10)
被引量:72
标识
DOI:10.1126/sciadv.abe4365
摘要
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-β-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.
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