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Confederat S, Lee S, Vang D, Soulias D, Marcuccio F, Peace TI, Edwards MA, Strobbia P, Samanta D, Wälti C, Actis P. Next-Generation Nanopore Sensors Based on Conductive Pulse Sensing for Enhanced Detection of Nanoparticles. Small 2024; 20:e2305186. [PMID: 37649152 DOI: 10.1002/smll.202305186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 07/28/2023] [Indexed: 09/01/2023]
Abstract
Nanopore 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.
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Affiliation(s)
- Samuel Confederat
- Bragg Centre for Materials Research, University of Leeds, LS2 9JT, Leeds, UK
- School of Electronic and Electrical Engineering and Pollard Institute, University of Leeds, LS2 9JT, Leeds, UK
| | - Seungheon Lee
- Department of Chemistry, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Der Vang
- Department of Chemistry, University of Cincinnati, Cincinnati, OH, 45221, USA
| | - Dimitrios Soulias
- Bragg Centre for Materials Research, University of Leeds, LS2 9JT, Leeds, UK
- School of Electronic and Electrical Engineering and Pollard Institute, University of Leeds, LS2 9JT, Leeds, UK
- Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, OX1 3QZ, Oxford, UK
| | - Fabio Marcuccio
- Bragg Centre for Materials Research, University of Leeds, LS2 9JT, Leeds, UK
- School of Electronic and Electrical Engineering and Pollard Institute, University of Leeds, LS2 9JT, Leeds, UK
- Faculty of Medicine, Imperial College London, SW7 2AZ, London, UK
| | - Timotheus I Peace
- Bragg Centre for Materials Research, University of Leeds, LS2 9JT, Leeds, UK
- School of Electronic and Electrical Engineering and Pollard Institute, University of Leeds, LS2 9JT, Leeds, UK
- School of Molecular and Cellular Biology and Astbury Centre for Structural Molecular Biology, University of Leeds, LS2 9JT, Leeds, UK
| | - Martin Andrew Edwards
- Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Pietro Strobbia
- Department of Chemistry, University of Cincinnati, Cincinnati, OH, 45221, USA
| | - Devleena Samanta
- Department of Chemistry, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Christoph Wälti
- Bragg Centre for Materials Research, University of Leeds, LS2 9JT, Leeds, UK
- School of Electronic and Electrical Engineering and Pollard Institute, University of Leeds, LS2 9JT, Leeds, UK
| | - Paolo Actis
- Bragg Centre for Materials Research, University of Leeds, LS2 9JT, Leeds, UK
- School of Electronic and Electrical Engineering and Pollard Institute, University of Leeds, LS2 9JT, Leeds, UK
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Zhang T, Mbanga BL, Yashin VV, Balazs AC. Using Torsion for Controllable Reconfiguration of Binary Nanoparticle Networks. ACS Nano 2017; 11:3059-3066. [PMID: 28245101 DOI: 10.1021/acsnano.7b00037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Mechanical deformation can potentially provide an effective means of controlling the nanoscale morphology in hybrid materials. The challenge, however, is establishing optimal couplings of the deformation and mechano-responsive components in the material to achieve nanoscopic structural reorganization without causing catastrophic damage. Through computational modeling, we investigate how torsion can be utilized to induce controllable structural changes in networks formed from binary mixtures (A and B) of polymer-grafted nanoparticles (PGNs). The nanoparticles' rigid cores are decorated with a corona of grafted polymers, which contain reactive functional groups at the chain ends. With the overlap of the neighboring coronas, these reactive groups form labile bonds, which can reform after breakage. The labile bond energy between similar PGNs (UAA, UBB) is different than the energy between dissimilar species (UAB). By tailoring the relative values of these bond energies and the boundary conditions acting on the system, the application of a torsional deformation can result in a controllable reconfiguration of the network, leading to intertwining helical structures, or homogeneously mixed nanocomposites. In effect, our mechano-mutable system resembles a "Rubik's cube" material, whose nanostructure, and hence global properties, can be tailored by mechanically twisting the sample.
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Affiliation(s)
- Tao Zhang
- Chemical Engineering Department, University of Pittsburgh , Pittsburgh, Pennsylvania 15261, United States
| | - Badel L Mbanga
- Chemical Engineering Department, University of Pittsburgh , Pittsburgh, Pennsylvania 15261, United States
| | - Victor V Yashin
- Chemical Engineering Department, University of Pittsburgh , Pittsburgh, Pennsylvania 15261, United States
| | - Anna C Balazs
- Chemical Engineering Department, University of Pittsburgh , Pittsburgh, Pennsylvania 15261, United States
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