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March 8, 20261 citations

Heterogeneous Multilayer Nanopores via Chemically Tuned Dielectric Breakdown for Single-Molecule Sensing.

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CGChaoming GuSouthern Methodist UniversityKJKamruzzaman JotySouthern Methodist UniversityNTNavod ThyashanSouthern Methodist University

Key Points

  • This research aims to enhance single-molecule sensing through novel nanopore fabrication techniques.
  • Fabricated heterogeneous multilayer nanopores using controlled dielectric breakdown.
  • Integrated hBN, MoS2, or graphene with silicon nitride membranes.
  • Conducted protein translocation experiments with simulations to analyze interactions.
  • Demonstrated effective control over nanopore size and surface properties.
  • Achieved over 96% accuracy in identifying multilayer structure effects with machine learning.
  • Showed that multilayer configurations significantly influence protein behavior and ionic current.

Abstract

Solid-state nanopores are powerful platforms for single-molecule sensing, yet their performance is often constrained by fabrication complexity, noise, and limited control over surface properties. Here we report a direct method to fabricate heterogeneous multilayer nanopores using chemically tuned controlled dielectric breakdown (CT-CDB). We integrate hBN, MoS2, or graphene atop a silicon nitride membrane to form five distinct bilayer and tri-layer architectures, with bare SiNx nanopore as a control. CT-CDB achieves pore formation reproducibly through material-stacks with high efficiency, good pore size control, and strong yield, validated by various characterizations. Transferrin protein translocation experiments, supported by simulations, reveal that multilayer configurations modulate protein conformations, ionic current blockade and dwell time distributions, reflecting combined effects of membrane type, interfacial chemistry, and local electric field gradients. A supervised machine learning framework is implemented to assist identifying multilayer structure effects embedded in signal signatures, with over 96% accuracy. This work presents a modular and scalable framework for functional nanopore engineering with complex structural integration, thereby expanding the potential of 2D materials in single-molecule sensing applications.

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Cite This Study

Gu et al. (2026) studied this question.

synapsesocial.com/papers/69acc5bd32b0ef16a4050700https://doi.org/10.1002/smll.202513242
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