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A single-molecule electrical approach for amino acid detection and chirality recognition
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929498/ https://www.ncbi.nlm.nih.gov/pubmed/33658198 http://dx.doi.org/10.1126/sciadv.abe4365 |
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author | Liu, Zihao Li, Xingxing Masai, Hiroshi Huang, Xinyi Tsuda, Susumu Terao, Jun Yang, Jinlong Guo, Xuefeng |
author_facet | Liu, Zihao Li, Xingxing Masai, Hiroshi Huang, Xinyi Tsuda, Susumu Terao, Jun Yang, Jinlong Guo, Xuefeng |
author_sort | Liu, Zihao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7929498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79294982021-03-11 A single-molecule electrical approach for amino acid detection and chirality recognition Liu, Zihao Li, Xingxing Masai, Hiroshi Huang, Xinyi Tsuda, Susumu Terao, Jun Yang, Jinlong Guo, Xuefeng Sci Adv Research Articles 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. American Association for the Advancement of Science 2021-03-03 /pmc/articles/PMC7929498/ /pubmed/33658198 http://dx.doi.org/10.1126/sciadv.abe4365 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Liu, Zihao Li, Xingxing Masai, Hiroshi Huang, Xinyi Tsuda, Susumu Terao, Jun Yang, Jinlong Guo, Xuefeng A single-molecule electrical approach for amino acid detection and chirality recognition |
title | A single-molecule electrical approach for amino acid detection and chirality recognition |
title_full | A single-molecule electrical approach for amino acid detection and chirality recognition |
title_fullStr | A single-molecule electrical approach for amino acid detection and chirality recognition |
title_full_unstemmed | A single-molecule electrical approach for amino acid detection and chirality recognition |
title_short | A single-molecule electrical approach for amino acid detection and chirality recognition |
title_sort | single-molecule electrical approach for amino acid detection and chirality recognition |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929498/ https://www.ncbi.nlm.nih.gov/pubmed/33658198 http://dx.doi.org/10.1126/sciadv.abe4365 |
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