1. Single-Stranded DNA Translocation Recordings through Solid-State Nanopores on Glass Chips at 10 MHz Measurement Bandwidth
- Author
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Marija Drndic, David J. Niedzwiecki, Kenneth L. Shepard, Siddharth Shekar, and Chen-Chi Chien
- Subjects
Materials science ,DNA, Single-Stranded ,General Physics and Astronomy ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,Article ,Nanopores ,chemistry.chemical_compound ,General Materials Science ,chemistry.chemical_classification ,business.industry ,Amplifier ,Biomolecule ,Bandwidth (signal processing) ,General Engineering ,Oxides ,Signal Processing, Computer-Assisted ,021001 nanoscience & nanotechnology ,Low-noise amplifier ,0104 chemical sciences ,Nanopore ,Dwell time ,Membrane ,Semiconductors ,chemistry ,Silicon nitride ,Metals ,Optoelectronics ,Glass ,0210 nano-technology ,business - Abstract
Accurate and low-cost analysis of biomolecules is important for many applications. This work seeks to further improve the measurement bandwidths achievable with solid-state nanopores, which have emerged as an important platform for this analysis. We report single-stranded DNA translocation recordings at a bandwidth of 10 MHz copolymers of 80 (C(20)A(20)C(20)A(20)), 90 (C(30)A(30)C(30)), and 200 (C(50)A(50)C(50)A(50)) nucleotides through Si nanopores with effective diameters of 1.4–2.1 nm and effective membrane thickness 0.5 – 8.9 nm. By optimizing glass chips with thin nanopores and by integrating them with custom-designed amplifiers based on complementary metal-oxide-semiconductor (CMOS) technology, this work demonstrates detection of translocation events as brief as 100 ns with a signal-to-noise ratio exceeding seven at a measurement bandwidth of 10 MHz. We also report data robustness and variability across 13 pores of similar size and thickness yielding a current blockade between 30 and 60 % with a mean ionic current blockade (ΔI) of ~ 3 to 9 nA and a characteristic dwell time of ~ 2 to 21 ns per nucleotide. These measurements show that characteristic translocation rates are at least ten times faster than previously recorded. We detect transient intra-event fluctuations, multiple current levels within translocation events, and variability of DNA-translocation-event signatures and durations.
- Published
- 2019