Single-Stranded DNA Translocation Recordings through Solid-State Nanopores on Glass Chips at 10 MHz Measurement Bandwidth
Single-Stranded DNA Translocation Recordings through Solid-State Nanopores on Glass Chips at 10 MHz Measurement Bandwidth
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DOI：
10.1021/acsnano.9b04626
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发表时间：
2019-09-01
期刊：
影响因子：
17.1
通讯作者：
Drndic, Marija
中科院分区：
文献类型：
--
作者：
Chien, Chen-Chi;Shekar, Siddharth;Drndic, Marija
准确和低成本的生物分子分析在许多应用中都是重要的。这项工作旨在进一步改善固态纳米孔可实现的测量带宽，固态纳米孔已成为这一分析的重要平台。我们报道了10 MHz带宽的80(C(20)A(20)C(20)A(20))，90(C(30)A(30)C(30))和200(C(50)A(50)C(50)A(50)核苷酸的单链DNA易位记录，有效直径为1.4-2.1 nm，有效膜厚度为0.5-8.9 nm。通过优化具有薄纳米孔的玻璃芯片，并将其与基于互补金属氧化物半导体技术的定制设计的放大器相集成，这项工作展示了在10 MHz的测量带宽下检测到短至100 ns的移位事件，信噪比超过7。我们还报告了13个大小和厚度相似的孔的数据稳健性和可变性，产生了30%到60%的电流阻塞，平均离子电流阻塞(Delta I)类似于3-9nA，特征驻留时间类似于每个核苷酸2-21 ns。这些测量表明，特征易位率至少比以前记录的快10倍。我们检测到瞬间的事件内波动，易位事件中的多个电流水平，以及DNA易位事件特征和持续时间的可变性。
Accurate and low-cost analysis of biomole-cules 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 thicknesses 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 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 (Delta I) of , similar to 3-9 nA and a characteristic dwell time of similar to 2-21 ns per nucleotide. These measurements show that characteristic translocation rates are at least 10 times faster than previously recorded. We detect transient intraevent fluctuations, multiple current levels within translocation events, and variability of DNA translocation event signatures and durations.