Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement
Abstract In single-molecule measurements, metal nanogap electrodes directly measure the current of a single molecule. This technique has been actively investigated as a new detection method for a variety of samples. Machine learning has been applied to analyze signals derived from single molecules t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-35724-1 |
| _version_ | 1797806740659503104 |
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| author | Jiho Ryu Yuki Komoto Takahito Ohshiro Masateru Taniguchi |
| author_facet | Jiho Ryu Yuki Komoto Takahito Ohshiro Masateru Taniguchi |
| author_sort | Jiho Ryu |
| collection | DOAJ |
| description | Abstract In single-molecule measurements, metal nanogap electrodes directly measure the current of a single molecule. This technique has been actively investigated as a new detection method for a variety of samples. Machine learning has been applied to analyze signals derived from single molecules to improve the identification accuracy. However, conventional identification methods have drawbacks, such as the requirement of data to be measured for each target molecule and the electronic structure variation of the nanogap electrode. In this study, we report a technique for identifying molecules based on single-molecule measurement data measured only in mixed sample solutions. Compared with conventional methods that require training classifiers on measurement data from individual samples, our proposed method successfully predicts the mixing ratio from the measurement data in mixed solutions. This demonstrates the possibility of identifying single molecules using only data from mixed solutions, without prior training. This method is anticipated to be particularly useful for the analysis of biological samples in which chemical separation methods are not applicable, thereby increasing the potential for single-molecule measurements to be widely adopted as an analytical technique. |
| first_indexed | 2024-03-13T06:11:53Z |
| format | Article |
| id | doaj.art-d59f426773d444fd9b42ca8fbb46e6f8 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T06:11:53Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-d59f426773d444fd9b42ca8fbb46e6f82023-06-11T11:13:59ZengNature PortfolioScientific Reports2045-23222023-06-011311810.1038/s41598-023-35724-1Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurementJiho Ryu0Yuki Komoto1Takahito Ohshiro2Masateru Taniguchi3SANKEN, Osaka UniversitySANKEN, Osaka UniversitySANKEN, Osaka UniversitySANKEN, Osaka UniversityAbstract In single-molecule measurements, metal nanogap electrodes directly measure the current of a single molecule. This technique has been actively investigated as a new detection method for a variety of samples. Machine learning has been applied to analyze signals derived from single molecules to improve the identification accuracy. However, conventional identification methods have drawbacks, such as the requirement of data to be measured for each target molecule and the electronic structure variation of the nanogap electrode. In this study, we report a technique for identifying molecules based on single-molecule measurement data measured only in mixed sample solutions. Compared with conventional methods that require training classifiers on measurement data from individual samples, our proposed method successfully predicts the mixing ratio from the measurement data in mixed solutions. This demonstrates the possibility of identifying single molecules using only data from mixed solutions, without prior training. This method is anticipated to be particularly useful for the analysis of biological samples in which chemical separation methods are not applicable, thereby increasing the potential for single-molecule measurements to be widely adopted as an analytical technique.https://doi.org/10.1038/s41598-023-35724-1 |
| spellingShingle | Jiho Ryu Yuki Komoto Takahito Ohshiro Masateru Taniguchi Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement Scientific Reports |
| title | Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement |
| title_full | Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement |
| title_fullStr | Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement |
| title_full_unstemmed | Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement |
| title_short | Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement |
| title_sort | direct biomolecule discrimination in mixed samples using nanogap based single molecule electrical measurement |
| url | https://doi.org/10.1038/s41598-023-35724-1 |
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