Population Health Research Institute, the Canadian Institutes of Health Research, Heart and Stroke Foundation of Ontario, Canadian Institutes of Health Research Strategy for Patient Oriented Research through the Ontario SPOR Support Unit, the Ontario Ministry of Health and Long-Term Care, pharmaceutical companies (with major contributions from AstraZeneca [Canada], Sanofi Aventis [France and Canada], Boehringer Ingelheim [Germany amd Canada], Servier, and GlaxoSmithKline), Novartis and King Pharma, and national or local organisations in participating countries.
Nucleic
acid detection methods are crucial for many fields such
as pathogen detection and genotyping. Solid-state nanopore sensors
represent a promising platform for nucleic acid detection due to its
unique single molecule sensitivity and label-free electronic sensing.
Here, we demonstrated the use of the glass nanopore for highly sensitive
quantification of single-stranded circular DNAs (reporters), which
could be degraded under the trans-cleavage activity of the target-specific
CRISPR-Cas12a. We developed and optimized the Cas12a assay for HIV-1
analysis. We validated the concept of the solid-state CRISPR-Cas12a-assisted
nanopores (SCAN) to specifically detect the HIV-1 DNAs. We showed
that the glass nanopore sensor is effective in monitoring the cleavage
activity of the target DNA-activated Cas12a. We developed a model
to predict the total experimental time needed for making a statistically
confident positive/negative call in a qualitative test. The SCAN concept
combines the much-needed specificity and sensitivity into a single
platform, and we anticipate that the SCAN would provide a compact,
rapid, and low-cost method for nucleic acid detection at the point
of care.
Label-free nanopore sensors have emerged as a new generation technology of DNA sequencing and have been widely used for single molecule analysis. Since the first α-hemolysin biological nanopore, various types of nanopores made of different materials have been under extensive development. Noise represents a common challenge among all types of nanopore sensors. The nanopore noise can be decomposed into four components in the frequency domain (1/f noise, white noise, dielectric noise, and amplifier noise). In this work, we reviewed and summarized the physical models, origins, and reduction methods for each of these noise components. For the first time, we quantitatively benchmarked the root mean square (RMS) noise levels for different types of nanopores, demonstrating a clear material-dependent RMS noise. We anticipate this review article will enhance the understanding of nanopore sensor noises and provide an informative tutorial for developing future nanopore sensors with a high signal-to-noise ratio.
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