Ensuring fair assessment of solid-state nanopore sensors with reporting baseline current

Ensuring fair assessment of solid-state nanopore sensors with reporting baseline current
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DOI:
10.1063/5.0167402
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发表时间:
2023-10
影响因子:
4
通讯作者:
Ming Dong;Zifan Tang;W. Guan
Ming Dong;Zifan Tang;W. Guan
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Ming Dong;Zifan Tang;W. Guan

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在开发用于单分子检测的固态纳米孔传感器时,纳米孔质量的综合评价是重要的。现有的研究通常依赖于比较噪声均方根或功率谱密度值。表现出较低噪声值的纳米孔通常被认为是优越的上级。当单分子信号保持一致时,该评价有效。然而,信号可以变化,因为它与固态纳米孔尺寸密切相关,这在制造期间难以一致地控制。这项工作强调了报告用于评估固态纳米孔传感器的基线电流的必要性。基线电流提供了对几种实验条件的深入了解,特别是纳米孔尺寸。我们的实验表明,当考虑信噪比(SNR)时,具有更多噪声的纳米孔传感器不一定更差,特别是当孔径较小时。我们的研究结果表明,考虑到实验室和测量之间制造和测试设置的固有差异,仅依赖噪声比较可能导致对固态纳米孔传感器的不准确评估。我们建议未来的研究应包括报告基线电流和传感条件。此外,使用SNR作为纳米孔传感器的主要评估工具可以更全面地了解其性能。
In developing solid-state nanopore sensors for single molecule detection, comprehensive evaluation of the nanopore quality is important. Existing studies typically rely on comparing the noise root mean square or power spectrum density values. Nanopores exhibiting lower noise values are generally considered superior. This evaluation is valid when the single molecule signal remains consistent. However, the signal can vary, as it is strongly related to the solid-state nanopore size, which is hard to control during fabrication consistently. This work emphasized the need to report the baseline current for evaluating solid-state nanopore sensors. The baseline current offers insight into several experimental conditions, particularly the nanopore size. Our experiments show that a nanopore sensor with more noise is not necessarily worse when considering the signal-to-noise ratio (SNR), particularly when the pore size is smaller. Our findings suggest that relying only on noise comparisons can lead to inaccurate evaluations of solid-state nanopore sensors, considering the inherent variability in fabrication and testing setups among labs and measurements. We propose that future studies should include reporting baseline current and sensing conditions. Additionally, using SNR as a primary evaluation tool for nanopore sensors could provide a more comprehensive understanding of their performance.