Probing Ionic Vibrational Dynamics via Terahertz Fluctuations in Nanopore Ionic Current

The analysis of current noise in nanopores has emerged as a powerful tool for probing the size, dynamics, and interactions of ions and molecules. However, while the low-frequency regime (<1 MHz) is well-characterized, the fundamental question of what physical information is encoded in the high-frequency spectrum remains open, largely due to experimental limitations. Here, we employ all-atom molecular dynamics simulations to map the ionic current power spectrum in the frequency range from MHz to THz. We reveal a transition in the spectral density: at low frequencies, the power spectrum reflects ionic conductance and is modulated by ion correlations, whereas distinct peaks emerge in the THz range. These peaks are nonstochastic but represent vibrational fingerprints of cations and their hydration shells, with characteristic resonances at 1-3 THz for Na<sup>+</sup> and 4 THz for La<sup>3+</sup>. These resonant modes are intrinsic to the ion's local hydration environment, independent of applied voltage or ion correlation. This work establishes nanopore-based high-frequency current noise spectroscopy as a direct probe of ultrafast hydration dynamics, offering new insights for studying local ionic environments in confined liquids.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry B
Published
2025-12-24
DOI
https://doi.org/10.1021/acs.jpcb.5c07135
Primary Topic
Nanopore and Nanochannel Transport Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Probing Ionic Vibrational Dynamics via Terahertz Fluctuations in Nanopore Ionic Current

Zhenyu J. Zhang, Fei Zheng, Han Qi, Jian Ma et al.
The Journal of Physical Chemistry B
Nanopore and Nanochannel Transport Studies
article

Probing Ionic Vibrational Dynamics via Terahertz Fluctuations in Nanopore Ionic Current

Zhenyu J. Zhang, Fei Zheng, Han Qi, Jian Ma, Quan Han
article en

Abstract

The analysis of current noise in nanopores has emerged as a powerful tool for probing the size, dynamics, and interactions of ions and molecules. However, while the low-frequency regime (<1 MHz) is well-characterized, the fundamental question of what physical information is encoded in the high-frequency spectrum remains open, largely due to experimental limitations. Here, we employ all-atom molecular dynamics simulations to map the ionic current power spectrum in the frequency range from MHz to THz. We reveal a transition in the spectral density: at low frequencies, the power spectrum reflects ionic conductance and is modulated by ion correlations, whereas distinct peaks emerge in the THz range. These peaks are nonstochastic but represent vibrational fingerprints of cations and their hydration shells, with characteristic resonances at 1-3 THz for Na<sup>+</sup> and 4 THz for La<sup>3+</sup>. These resonant modes are intrinsic to the ion's local hydration environment, independent of applied voltage or ion correlation. This work establishes nanopore-based high-frequency current noise spectroscopy as a direct probe of ultrafast hydration dynamics, offering new insights for studying local ionic environments in confined liquids.

The Journal of Physical Chemistry BVol. 130(1)
Nanjing Forestry University (CN), University of Cambridge (GB), Nanjing Institute of Technology (CN), Cavendish Hospital (GB), Precision for Medicine (United States) (US), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 42%
Nanopore and Nanochannel Transport Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.