Print Email Facebook Twitter Comparing Current Noise in Biological and Solid-State Nanopores Title Comparing Current Noise in Biological and Solid-State Nanopores Author Fragasso, A. (TU Delft BN/Cees Dekker Lab; Kavli institute of nanoscience Delft) Schmid, S. (TU Delft BN/Cees Dekker Lab; Kavli institute of nanoscience Delft) Dekker, C. (TU Delft BN/Cees Dekker Lab; Kavli institute of nanoscience Delft) Date 2020 Abstract Nanopores bear great potential as single-molecule tools for bioanalytical sensing and sequencing, due to their exceptional sensing capabilities, high-throughput, and low cost. The detection principle relies on detecting small differences in the ionic current as biomolecules traverse the nanopore. A major bottleneck for the further progress of this technology is the noise that is present in the ionic current recordings, because it limits the signal-to-noise ratio (SNR) and thereby the effective time resolution of the experiment. Here, we review the main types of noise at low and high frequencies and discuss the underlying physics. Moreover, we compare biological and solid-state nanopores in terms of the SNR, the important figure of merit, by measuring translocations of a short ssDNA through a selected set of nanopores under typical experimental conditions. We find that SiNx solid-state nanopores provide the highest SNR, due to the large currents at which they can be operated and the relatively low noise at high frequencies. However, the real game-changer for many applications is a controlled slowdown of the translocation speed, which for MspA was shown to increase the SNR > 160-fold. Finally, we discuss practical approaches for lowering the noise for optimal experimental performance and further development of the nanopore technology. Subject biological nanoporesbiosensorsDNA sequencingion current noisesignal-to-noise ratiosingle-molecule detectionsolid-state nanoporestranslocation To reference this document use: http://resolver.tudelft.nl/uuid:c9fdba61-cf32-42d4-be56-f980219b0347 DOI https://doi.org/10.1021/acsnano.9b09353 ISSN 1936-0851 Source ACS Nano (online), 14 (2), 1338-1349 Part of collection Institutional Repository Document type review Rights © 2020 A. Fragasso, S. Schmid, C. Dekker Files PDF acsnano.9b09353.pdf 3.07 MB Close viewer /islandora/object/uuid:c9fdba61-cf32-42d4-be56-f980219b0347/datastream/OBJ/view