Solid-state nanopores have shown
special high potential in a label-free
molecular assay, structure identification, and target-index at the
single-molecular level, even though frustrating electrical baseline
noise is still one of the major factors that limit the spatial resolution
and signaling reliability of solid-state nanopores, especially in
small target detection. Here we develop a significant and easy-operating
noise-reduction approach via mixing organic solvents with high dielectric
constants into a traditional aqueous electrolyte. The strategy is
generally effective for pores made of different materials, such as
the most commonly used conical glass (CGN) or SiN
x
. While the mechanism should be multisourced, MD simulations
suggest the noise reduction may partially arise from the even ionic
distribution caused by the addition of higher dielectric species.
Among all solvents experimentally tested, the two with the highest
dielectric constants, formamide and methylformamide, exhibit the best
noise reduction effect for target detection of CGN. The power spectral
density at the low-frequency limit is reduced by nearly 3 orders with
the addition of 20% formamide. Our work qualifies the reliability
of solid-state nanopores into much subtler scales of detection, such
as dsDNAs under 100 bp. As a practical example, bare CGN is innovatively
employed to perform in-situ tracking of trigger-responsive DNA machine
forming oligomers.
We adapt a solid-state nanopore for analyzing DNA assembly mixtures, which is usually a tougher task for either traditional characterization methods or nanopores themselves. A trigger induced nucleic acid amplifier, SP-CHA, is designed as a model. We propose an electrophoresis-gel like, but homogeneous, quantitative method that can comprehensively profile the “base-pair distribution” of SP-CHA concatemer mixtures.
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