Automatic control of gold nanoparticle clustering in plasmonic nanopores based on Raman spectroscopic feedback

Abstract

Plasmonic nanopores have been used to trap single nanoparticles using electric bias for single-molecule surface enhanced Raman spectroscopic (SM-SERS) detection and sequencing. While they exhibit high sensitivity, removal of nanoparticle clusters in the nanopore is so labor intensive that it hampers biosensing applications. Here, our approach is to use a microcontroller to change the electric voltage to remove the nanoparticle clusters in the nanopore with feedback by the Raman spectra. The SM-SERS spectra of the molecules adsorbed on nanoparticle surface can be acquired over a sufficiently long period, so that the microcontroller can analyze them with <100 ms and trigger the voltage change to remove the nanoparticle cluster. Our system is promising for automatic and high-throughput SM-SERS detection and analysis of DNA and proteins.

Dual physical origins of polarization-independent scattering in plasmonic nanoparticle dimers
Mingchen Yin, Chong Yan, Mingjie Wan +4
Optics Express14 Oct 2026Peer-reviewedPublisher termsOptics & photonicsCrossref
A comprehensive study of plasmonic mode hybridization in gold nanoparticle‐over‐mirror (NPoM) arrays
Raphael Gherman, Sacha Schwarz, Jean‐françois Bryche +8
Nanophotonics15 Oct 2026Peer-reviewedCC BY 4.0Full text5 citedGeneral physicsHAL
Dynamic Sensing via Photomodulated Gas Desorption in Plasmonic Nanoparticle Chemiresistors
Lukas Mielke, Dahee Heo, Gabriele Carelli +1
arXiv8 Sep 2026PreprintarXiv licenceFull textApplied physics & instrumentation Condensed matterarXiv
Euclid Bypass end-to-end simulations for spectroscopic galaxy clustering performance assessment
Euclid Collaboration, B. R. Granett, S. de la Torre +321
arXiv19 Oct 2026PreprintCC BY 4.0Full textCosmology General physicsarXivHAL
Multiscale Modeling of Ion Transport in Nanopores: Fitting Implicit-Water Radial Diffusion Profiles to Explicit-Water Molecular Dynamics
Mónika Valiskó, Salman Shabbir, Eszter Molnárné Lakics +2
arXiv20 Sep 2026PreprintCC BY 4.0Full textCondensed matter Statistical & nonlinear physicsarXiv

Cite

BibTeX RIS

BibTeX

@misc{sheinman2026automatic,
  title = {{Automatic control of gold nanoparticle clustering in plasmonic nanopores based on Raman spectroscopic feedback}},
  author = {Iuliia Sheinman and Yingqi Zhao and Zhendai Huang and Kuo Zhan and Zuyan Chen and Ilkka Nissinen and Shuai Li and Jianan Huang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.15469},
  eprint = {2609.15469},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.15469},
  note = {CC BY 4.0},
}

RIS

TY  - UNPB
TI  - Automatic control of gold nanoparticle clustering in plasmonic nanopores based on Raman spectroscopic feedback
AU  - Iuliia Sheinman
AU  - Yingqi Zhao
AU  - Zhendai Huang
AU  - Kuo Zhan
AU  - Zuyan Chen
AU  - Ilkka Nissinen
AU  - Shuai Li
AU  - Jianan Huang
PY  - 2026
DA  - 2026/09/14
PB  - arXiv
DO  - 10.48550/arxiv.2609.15469
UR  - https://arxiv.org/abs/2609.15469
AB  - Plasmonic nanopores have been used to trap single nanoparticles using electric bias for single-molecule surface enhanced Raman spectroscopic (SM-SERS) detection and sequencing. While they exhibit high sensitivity, removal of nanoparticle clusters in the nanopore is so labor intensive that it hampers biosensing applications. Here, our approach is to use a microcontroller to change the electric voltage to remove the nanoparticle clusters in the nanopore with feedback by the Raman spectra. The SM-SERS spectra of the molecules adsorbed on nanoparticle surface can be acquired over a sufficiently long period, so that the microcontroller can analyze them with <100 ms and trigger the voltage change to remove the nanoparticle cluster. Our system is promising for automatic and high-throughput SM-SERS detection and analysis of DNA and proteins.
ER  -

Abstract

Related

Cite