Next‐Generation Nanopore Sensors Based on Conductive Pulse Sensing for Enhanced Detection of Nanoparticles

Author:

Confederat Samuel12,Lee Seungheon3ORCID,Vang Der4,Soulias Dimitrios125,Marcuccio Fabio126,Peace Timotheus I.127,Edwards Martin Andrew8,Strobbia Pietro4,Samanta Devleena3ORCID,Wälti Christoph12,Actis Paolo12ORCID

Affiliation:

1. Bragg Centre for Materials Research University of Leeds LS2 9JT Leeds UK

2. School of Electronic and Electrical Engineering and Pollard Institute University of Leeds LS2 9JT Leeds UK

3. Department of Chemistry The University of Texas at Austin Austin TX 78712 USA

4. Department of Chemistry University of Cincinnati Cincinnati OH 45221 USA

5. Physical and Theoretical Chemistry Laboratory Department of Chemistry University of Oxford OX1 3QZ Oxford UK

6. Faculty of Medicine Imperial College London SW7 2AZ London UK

7. School of Molecular and Cellular Biology and Astbury Centre for Structural Molecular Biology University of Leeds LS2 9JT Leeds UK

8. Department of Chemistry and Biochemistry University of Arkansas Fayetteville AR 72701 USA

Abstract

AbstractNanopore sensing has been successfully used to characterize biological molecules with single‐molecule resolution based on the resistive pulse sensing approach. However, its use in nanoparticle characterization has been constrained by the need to tailor the nanopore aperture size to the size of the analyte, precluding the analysis of heterogeneous samples. Additionally, nanopore sensors often require the use of high salt concentrations to improve the signal‐to‐noise ratio, which further limits their ability to study a wide range of nanoparticles that are unstable at high ionic strength. Here, a new paradigm in nanopore research that takes advantage of a polymer electrolyte system to comprise a conductive pulse sensing approach is presented. A finite element model is developed to explain the conductive pulse signals observed and compare these results with experiments. This system enables the analytical characterization of heterogeneous nanoparticle mixtures at low ionic strength . Furthermore, the wide applicability of the method is demonstrated by characterizing metallic nanospheres of varied sizes, plasmonic nanostars with various degrees of branching, and protein‐based spherical nucleic acids with different oligonucleotide loadings. This system will complement the toolbox of nanomaterials characterization techniques to enable real‐time optimization workflow for engineering a wide range of nanomaterials.

Funder

Horizon 2020 Framework Programme

European Research Council

Engineering and Physical Sciences Research Council

Medical Research Council

Publisher

Wiley

Subject

Biomaterials,Biotechnology,General Materials Science,General Chemistry

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