期刊
SCIENCE ADVANCES
卷 7, 期 10, 页码 -出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abe4365
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资金
- National Key R&D Program of China [2017YFA0204901]
- National Natural Science Foundation of China [21727806, 21933001, 21688102]
- Tencent Foundation through the XPLORER PRIZE
- JSPS KAKENHI [19H02696, 19K15629, 19K22179, 19K21963, 20H05092]
- JST CREST [JPMJCR19l2]
- ERCA Japan [5RF-1802]
- Grants-in-Aid for Scientific Research [20H05092, 19K21963, 19K15629, 19K22179] Funding Source: KAKEN
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.
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