4.8 Article

Nanopore sensing at ultra-low concentrations using single-molecule dielectrophoretic trapping

Journal

NATURE COMMUNICATIONS
Volume 7, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms10217

Keywords

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Funding

  1. Whitaker International Program by the IIE
  2. BBSRC
  3. ERC
  4. U.S. National Science Foundation (NSF CAREER Award)
  5. MnDRIVE Initiative from the State of Minnesota
  6. National Institutes of Health [T32 GM008347]
  7. NSF Graduate Research Fellowship Program
  8. BBSRC [BB/L017865/1] Funding Source: UKRI
  9. EPSRC [EP/K039946/1] Funding Source: UKRI
  10. Biotechnology and Biological Sciences Research Council [BB/L017865/1] Funding Source: researchfish
  11. Engineering and Physical Sciences Research Council [EP/K039946/1] Funding Source: researchfish
  12. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [T32GM008347] Funding Source: NIH RePORTER
  13. Div Of Biological Infrastructure [1054191] Funding Source: National Science Foundation
  14. Div Of Civil, Mechanical, & Manufact Inn [1363334] Funding Source: National Science Foundation

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Single-molecule techniques are being developed with the exciting prospect of revolutionizing the healthcare industry by generating vast amounts of genetic and proteomic data. One exceptionally promising route is in the use of nanopore sensors. However, a well-known complexity is that detection and capture is predominantly diffusion limited. This problem is compounded when taking into account the capture volume of a nanopore, typically 10(8)-10(10) times smaller than the sample volume. To rectify this disproportionate ratio, we demonstrate a simple, yet powerful, method based on coupling single-molecule dielectrophoretic trapping to nanopore sensing. We show that DNA can be captured from a controllable, but typically much larger, volume and concentrated at the tip of a metallic nanopore. This enables the detection of single molecules at concentrations as low as 5 fM, which is approximately a 10(3) reduction in the limit of detection compared with existing methods, while still maintaining efficient throughput.

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