Size-Selective Sub-micrometer-Particle Confinement Utilizing Ionic Entropy-Directed Trapping in Inscribed Nanovoid Patterns

Long Chen, Ashwin Panday, Jonggab Park, Mingyu Kim, Dong Kyo Oh, Jong G. Ok, L. Jay Guo

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We have developed a single-step, high-throughput methodology to selectively confine sub-micrometer particles of a specific size into sequentially inscribed nanovoid patterns by utilizing electrostatic and entropic particle-void interactions in an ionic solution. The nanovoid patterns can be rendered positively charged by coating with an aluminum oxide layer, which can then localize negatively charged particles of a specific size into ordered arrays defined by the nanovoid topography. On the basis of the Poisson-Boltzmann model, the size-selective localization of particles in the voids is directed by the interplay between particle-nanovoid geometry, electrostatic interactions, and ionic entropy change induced by charge regulation in the electrical double layer overlapping region. The underlying principle and developed method could potentially be extended to size-selective trapping, separation, and patterning of many other objects including biological structures.

Original languageEnglish
Pages (from-to)14185-14192
Number of pages8
JournalACS Nano
Volume15
Issue number9
DOIs
StatePublished - 28 Sep 2021

Keywords

  • continuous nanoinscribing
  • electrical double layer
  • electrostatic interaction
  • ionic entropy
  • nanovoid
  • size-selective particle confinement

Fingerprint

Dive into the research topics of 'Size-Selective Sub-micrometer-Particle Confinement Utilizing Ionic Entropy-Directed Trapping in Inscribed Nanovoid Patterns'. Together they form a unique fingerprint.

Cite this