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Precise DNA Concentration Measurements with Nanopores by Controlled Counting
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    Precise DNA Concentration Measurements with Nanopores by Controlled Counting
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    • Martin Charron
      Martin Charron
      Department of Physics, University of Ottawa, 150 Louis-Pasteur, Ottawa, Ontario, Canada K1N 6N5
    • Kyle Briggs
      Kyle Briggs
      Department of Physics, University of Ottawa, 150 Louis-Pasteur, Ottawa, Ontario, Canada K1N 6N5
      More by Kyle Briggs
    • Simon King
      Simon King
      Department of Physics, University of Ottawa, 150 Louis-Pasteur, Ottawa, Ontario, Canada K1N 6N5
      More by Simon King
    • Matthew Waugh
      Matthew Waugh
      Department of Physics, University of Ottawa, 150 Louis-Pasteur, Ottawa, Ontario, Canada K1N 6N5
    • Vincent Tabard-Cossa*
      Vincent Tabard-Cossa
      Department of Physics, University of Ottawa, 150 Louis-Pasteur, Ottawa, Ontario, Canada K1N 6N5
      *E-mail: [email protected]
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    Analytical Chemistry

    Cite this: Anal. Chem. 2019, 91, 19, 12228–12237
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    https://doi.org/10.1021/acs.analchem.9b01900
    Published August 22, 2019
    Copyright © 2019 American Chemical Society

    Abstract

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    Using a solid-state nanopore to measure the concentration of clinically relevant target analytes, such as proteins or specific DNA sequences, is a major goal of nanopore research. This is usually achieved by measuring the capture rate of the target analyte through the pore. However, progress is hindered by sources of systematic error that are beyond the level of control currently achievable with state-of-the-art nanofabrication techniques. In this work, we show that the capture rate process of solid-state nanopores is subject to significant sources of variability, both within individual nanopores over time and between different nanopores of nominally identical size, which are absent from theoretical electrophoretic capture models. We experimentally reveal that these fluctuations are inherent to the nanopore itself and make nanopore-based molecular concentration determination insufficiently precise to meet the standards of most applications. In this work, we present a simple method by which to reduce this variability, increasing the reliability, accuracy, and precision of single-molecule nanopore-based concentration measurements. We demonstrate controlled counting, a concentration measurement technique, which involves measuring the simultaneous capture rates of a mixture of both the target molecule and an internal calibrator of precisely known concentration. Using this method on linear DNA fragments, we show empirically that the requirements for precisely controlling the nanopore properties, including its size, height, geometry, and surface charge density or distribution, are removed while allowing for higher-precision measurements. The quantitative tools presented herein will greatly improve the utility of solid-state nanopores as sensors of target biomolecule concentration.

    Copyright © 2019 American Chemical Society

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    Supporting Information

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    The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.analchem.9b01900.

    • S1, methods of capture rate analysis; S2, analyzing capture rates of time-varying capture processes; S3, controlled counting with time-varying capture rates; S4, electric field near the pore; S5, capture radius; S6, review of existing nanopore capture rate theory; and S7, scaling of translocation times with DNA length (PDF)

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    This article is cited by 40 publications.

    1. Julia Järlebark, Wei Liu, Amina Shaji, Jingjie Sha, Andreas Dahlin. Solid-State Nanopore Sensors: Analyte Quantification by Event Frequency Analysis at High Voltages. Analytical Chemistry 2025, 97 (8) , 4359-4364. https://doi.org/10.1021/acs.analchem.4c05037
    2. Chalmers C. C. Chau, Nicole E. Weckman, Emma E. Thomson, Paolo Actis. Solid-State Nanopore Real-Time Assay for Monitoring Cas9 Endonuclease Reactivity. ACS Nano 2025, 19 (3) , 3839-3851. https://doi.org/10.1021/acsnano.4c15173
    3. Makusu Tsutsui, Mikako Wada, Akihide Arima, Yuji Tsunekawa, Takako Sasaki, Kenji Sakamoto, Kazumichi Yokota, Yoshinobu Baba, Tomoji Kawai, Takashi Okada. Identifying Viral Vector Characteristics by Nanopore Sensing. ACS Nano 2024, 18 (24) , 15695-15704. https://doi.org/10.1021/acsnano.4c01888
    4. Ming Dong, Aneesh Kshirsagar, Anthony J. Politza, Weihua Guan. High Fidelity Machine-Learning-Assisted False Positive Discrimination in Loop-Mediated Isothermal Amplification Using Nanopore-Based Sizing and Counting. ACS Nano 2024, 18 (9) , 7170-7179. https://doi.org/10.1021/acsnano.3c12053
    5. Alexandra J. Schmeltzer, Eric M Peterson, Joel M. Harris, Daniel K. Lathrop, Sean R. German, Henry S. White. Simultaneous Multipass Resistive-Pulse Sensing and Fluorescence Imaging of Liposomes. ACS Nano 2024, 18 (9) , 7241-7252. https://doi.org/10.1021/acsnano.3c12627
    6. Fabio Marcuccio, Dimitrios Soulias, Chalmers C. C. Chau, Sheena E. Radford, Eric Hewitt, Paolo Actis, Martin Andrew Edwards. Mechanistic Study of the Conductance and Enhanced Single-Molecule Detection in a Polymer–Electrolyte Nanopore. ACS Nanoscience Au 2023, 3 (2) , 172-181. https://doi.org/10.1021/acsnanoscienceau.2c00050
    7. Xiaoyi Wang, Tina-Marie Thomas, Ren Ren, Yu Zhou, Peng Zhang, Jingjing Li, Shenglin Cai, Kai Liu, Aleksandar P. Ivanov, Andreas Herrmann, Joshua B. Edel. Nanopore Detection Using Supercharged Polypeptide Molecular Carriers. Journal of the American Chemical Society 2023, 145 (11) , 6371-6382. https://doi.org/10.1021/jacs.2c13465
    8. Chalmers Chau, Fabio Marcuccio, Dimitrios Soulias, Martin Andrew Edwards, Andrew Tuplin, Sheena E. Radford, Eric Hewitt, Paolo Actis. Probing RNA Conformations Using a Polymer–Electrolyte Solid-State Nanopore. ACS Nano 2022, 16 (12) , 20075-20085. https://doi.org/10.1021/acsnano.2c08312
    9. Mehrnaz Mojtabavi, Sandra J. Greive, Alfred A. Antson, Meni Wanunu. High-Voltage Biomolecular Sensing Using a Bacteriophage Portal Protein Covalently Immobilized within a Solid-State Nanopore. Journal of the American Chemical Society 2022, 144 (49) , 22540-22548. https://doi.org/10.1021/jacs.2c08514
    10. Simon King, Kyle Briggs, Robert Slinger, Vincent Tabard-Cossa. Screening for Group A Streptococcal Disease via Solid-State Nanopore Detection of PCR Amplicons. ACS Sensors 2022, 7 (1) , 207-214. https://doi.org/10.1021/acssensors.1c01972
    11. Iat Wai Leong, Makusu Tsutsui, Kazumichi Yokota, Masateru Taniguchi. Salt Gradient Control of Translocation Dynamics in a Solid-State Nanopore. Analytical Chemistry 2021, 93 (49) , 16700-16708. https://doi.org/10.1021/acs.analchem.1c04342
    12. Y. M. Nuwan D. Y. Bandara, Jugal Saharia, Buddini I. Karawdeniya, Patrick Kluth, Min Jun Kim. Nanopore Data Analysis: Baseline Construction and Abrupt Change-Based Multilevel Fitting. Analytical Chemistry 2021, 93 (34) , 11710-11718. https://doi.org/10.1021/acs.analchem.1c01646
    13. Reyhaneh Nazarian, Eric Lee, Brian Siegel, Chance Kuo, Shiv Acharya, Jacob Schmidt. Quantitative Measurements of Protein Volume and Concentration using Hydrogel-Backed Nanopores. ACS Sensors 2021, 6 (3) , 722-726. https://doi.org/10.1021/acssensors.1c00284
    14. Tomoki Hayashida, Makusu Tsutsui, Sanae Murayama, Tomoko Nakada, Masateru Taniguchi. Dielectric Coatings for Resistive Pulse Sensing Using Solid-State Pores. ACS Applied Materials & Interfaces 2021, 13 (8) , 10632-10638. https://doi.org/10.1021/acsami.0c22548
    15. Ali Najafi Sohi, Eric Beamish, Vincent Tabard-Cossa, Michel Godin. DNA Capture by Nanopore Sensors under Flow. Analytical Chemistry 2020, 92 (12) , 8108-8116. https://doi.org/10.1021/acs.analchem.9b05778
    16. Makusu Tsutsui, Yuji Tsunekawa, Mikako Wada, Akihide Arima, Azusa Onodera, Masumi Nishina, Miho Nagoya, Yoshinobu Baba, Tomoji Kawai, Takashi Okada. Enhanced Discriminability of Viral Vectors in Viscous Nanopores. Small Methods 2025, 40 https://doi.org/10.1002/smtd.202401321
    17. Da-Hye Lee, Hee-Bong Yoo, Kee-Suk Hong, Sang-Ryoul Park, Sangkyun Jeong, Inchul Yang. Development of gene-in-plasmid DNA reference materials certified by single-molecule counting. Analytical and Bioanalytical Chemistry 2024, 23 https://doi.org/10.1007/s00216-024-05675-1
    18. Michael Lamontagne, Shannon M. Newell, Ileana Pazos, Ronald Tosh, Jerimy Polf, Michael Zwolak, Joseph W. F. Robertson. Single–molecule biodosimetry. 2024https://doi.org/10.1101/2024.12.05.627019
    19. Breeana Elliott, Martin Charron, John Pezacki, Erin McConnell, Vincent Tabard-Cossa. Solid-state nanopore counting of amplicons from recombinase polymerase isothermal amplification. Sensors & Diagnostics 2024, 3 (10) , 1733-1742. https://doi.org/10.1039/D4SD00159A
    20. Runyu Wang, Yinuo Zhang, Qianli D.Y. Ma, Lingzhi Wu. Recent advances of small molecule detection in nanopore sensing. Talanta 2024, 277 , 126323. https://doi.org/10.1016/j.talanta.2024.126323
    21. Taiga Kawaguchi, Makusu Tsutsui, Sanae Murayama, Iat Wai Leong, Kazumichi Yokota, Yuki Komoto, Masateru Taniguchi. Enhanced Nanoparticle Sensing in a Highly Viscous Nanopore. Small Methods 2024, 8 (8) https://doi.org/10.1002/smtd.202301523
    22. Sarah E. Sandler, Nicole E. Weckman, Sarah Yorke, Akashaditya Das, Kaikai Chen, Richard Gutierrez, Ulrich F. Keyser. Sensing the DNA-mismatch tolerance of catalytically inactive Cas9 via barcoded DNA nanostructures in solid-state nanopores. Nature Biomedical Engineering 2024, 8 (3) , 325-334. https://doi.org/10.1038/s41551-023-01078-2
    23. Jugal Saharia, Yapa Mudiyanselage Nuwan Dhananjaya Yapa Bandara, Buddini Iroshika Karawdeniya, Jason Rodger Dwyer, Min Jun Kim. Over One Million DNA and Protein Events Through Ultra‐Stable Chemically‐Tuned Solid‐State Nanopores. Small 2023, 19 (29) https://doi.org/10.1002/smll.202300198
    24. Mostafa Salehirozveh, Alessandro Porro, Federico Thei. Large-scale production of polyimide micropore-based flow cells for detecting nano-sized particles in fluids. RSC Advances 2023, 13 (2) , 873-880. https://doi.org/10.1039/D2RA07423K
    25. Lauren S. Lastra, Y. M. Nuwan D. Y. Bandara, Michelle Nguyen, Nasim Farajpour, Kevin J. Freedman. On the origins of conductive pulse sensing inside a nanopore. Nature Communications 2022, 13 (1) https://doi.org/10.1038/s41467-022-29758-8
    26. Felipe Rivas, Paul L. DeAngelis, Elaheh Rahbar, Adam R. Hall. Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores. Scientific Reports 2022, 12 (1) https://doi.org/10.1038/s41598-022-08533-1
    27. Martin Charron, Lucas Philipp, Liqun He, Vincent Tabard-Cossa. Elucidating the dynamics of polymer transport through nanopores using asymmetric salt concentrations. Nano Research 2022, 15 (11) , 9943-9953. https://doi.org/10.1007/s12274-022-4886-3
    28. Mahmudur Rahman, Kazi Rafiqul Islam, Md. Rashedul Islam, Md. Jahirul Islam, Md. Rejvi Kaysir, Masuma Akter, Md. Arifur Rahman, S. M. Mahfuz Alam. A Critical Review on the Sensing, Control, and Manipulation of Single Molecules on Optofluidic Devices. Micromachines 2022, 13 (6) , 968. https://doi.org/10.3390/mi13060968
    29. Yanfang Wu, J. Justin Gooding. The application of single molecule nanopore sensing for quantitative analysis. Chemical Society Reviews 2022, 51 (10) , 3862-3885. https://doi.org/10.1039/D1CS00988E
    30. Mohammed F. Alawami, Filip Bošković, Jinbo Zhu, Kaikai Chen, Sarah E. Sandler, Ulrich F. Keyser. Lifetime of glass nanopores in a PDMS chip for single-molecule sensing. iScience 2022, 25 (5) , 104191. https://doi.org/10.1016/j.isci.2022.104191
    31. Shohei Kishimoto, Iat Wai Leong, Sanae Murayama, Tomoko Nakada, Yuki Komoto, Makusu Tsutsui, Masateru Taniguchi. 3D designing of resist membrane pores via direct electron beam lithography. Sensors and Actuators B: Chemical 2022, 357 , 131380. https://doi.org/10.1016/j.snb.2022.131380
    32. Y. M. Nuwan D. Y. Bandara, Jugal Saharia, Min Jun Kim, Scott Renkes, George Alexandrakis. Experimental Approaches to Solid-State Nanopores. 2022, 297-341. https://doi.org/10.1007/978-3-030-90339-8_10
    33. Muhammad Refatul Haq, Bong Jae Lee, Jungchul Lee. Solid-State Nanopore for Molecular Detection. International Journal of Precision Engineering and Manufacturing 2021, 22 (12) , 2001-2026. https://doi.org/10.1007/s12541-021-00590-2
    34. Liqun He, Daniel R. Tessier, Kyle Briggs, Matthaios Tsangaris, Martin Charron, Erin M. McConnell, Dmytro Lomovtsev, Vincent Tabard-Cossa. Digital immunoassay for biomarker concentration quantification using solid-state nanopores. Nature Communications 2021, 12 (1) https://doi.org/10.1038/s41467-021-25566-8
    35. Le Qiao, Maxime Ignacio, Gary W. Slater. An efficient kinetic Monte Carlo to study analyte capture by a nanopore: transients, boundary conditions and time-dependent fields. Physical Chemistry Chemical Physics 2021, 23 (2) , 1489-1499. https://doi.org/10.1039/D0CP03638B
    36. Yunshan Fan, Samuel T. Barlow, Bo Zhang. Single-molecule electrochemistry. 2021, 253-293. https://doi.org/10.1016/B978-0-12-820055-1.00011-3
    37. Eric Beamish, Vincent Tabard-Cossa, Michel Godin. Digital counting of nucleic acid targets using solid-state nanopores. Nanoscale 2020, 12 (34) , 17833-17840. https://doi.org/10.1039/D0NR03878D
    38. Y M Nuwan D. Y. Bandara, Jugal Saharia, Buddini I Karawdeniya, James T Hagan, Jason R Dwyer, Min Jun Kim. Beyond nanopore sizing: improving solid-state single-molecule sensing performance, lifetime, and analyte scope for omics by targeting surface chemistry during fabrication. Nanotechnology 2020, 31 (33) , 335707. https://doi.org/10.1088/1361-6528/ab8f4d
    39. Lucile Reynaud, Aurélie Bouchet-Spinelli, Camille Raillon, Arnaud Buhot. Sensing with Nanopores and Aptamers: A Way Forward. Sensors 2020, 20 (16) , 4495. https://doi.org/10.3390/s20164495
    40. Le Qiao, Gary W. Slater. Capture of rod-like molecules by a nanopore: Defining an “orientational capture radius”. The Journal of Chemical Physics 2020, 152 (14) https://doi.org/10.1063/5.0002044
    41. Le Qiao, Maxime Ignacio, Gary W. Slater. Voltage-driven translocation: Defining a capture radius. The Journal of Chemical Physics 2019, 151 (24) https://doi.org/10.1063/1.5134076

    Analytical Chemistry

    Cite this: Anal. Chem. 2019, 91, 19, 12228–12237
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.analchem.9b01900
    Published August 22, 2019
    Copyright © 2019 American Chemical Society

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