Volumetric Shaping of Nanoparticle-DNA Crystals by Light-Induced Milling

DNA-programmable self-assembly enables the formation of nanoparticle crystals with controlled lattice symmetry. While this approach offers the formation of complexly ordered nanostructures for optical, mechanical, and biological applications, a mesoscale control over such nanomaterials is limited. Directing the material formation process through the assembly pathway or external fields allows for modulating crystal morphology, but achieving arbitrary morphology remains challenging. Here, we present a photothermal method for shaping 3D DNA-programmable crystals of gold nanoparticles. Through local heating of nanoparticles due to plasmonic light absorption, we induce targeted volumetric dissolution of specifically defined crystal areas with micron-scale accuracy. This technique effectively prescribes crystal shaping and creates arbitrarily shaped voids within crystals. We further investigate both computationally and experimentally the key factors governing volumetric material subtraction. The developed automated light-milling platform enables the fabrication of nanomaterials exhibiting both DNA-programmable nanoscale order and custom-designed mesoscale architecture.

Authors

Institutions

Publication Details

Journal
Nano Letters
Published
2025-08-12
DOI
https://doi.org/10.1021/acs.nanolett.5c02830
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Volumetric Shaping of Nanoparticle-DNA Crystals by Light-Induced Milling

Joanna Chmielewska, Aaron Michelson, Zohar A. Arnon, Paweł W. Majewski et al.
1 citations
Nano Letters
Advanced biosensing and bioanalysis techniques
0.81
article

Volumetric Shaping of Nanoparticle-DNA Crystals by Light-Induced Milling

Joanna Chmielewska, Aaron Michelson, Zohar A. Arnon, Paweł W. Majewski, Bohdan Paterczyk, Oleg Gang, Piotr Szustakiewicz, Daniel C. Redeker, Filip Powala
article en
1 citations

Abstract

DNA-programmable self-assembly enables the formation of nanoparticle crystals with controlled lattice symmetry. While this approach offers the formation of complexly ordered nanostructures for optical, mechanical, and biological applications, a mesoscale control over such nanomaterials is limited. Directing the material formation process through the assembly pathway or external fields allows for modulating crystal morphology, but achieving arbitrary morphology remains challenging. Here, we present a photothermal method for shaping 3D DNA-programmable crystals of gold nanoparticles. Through local heating of nanoparticles due to plasmonic light absorption, we induce targeted volumetric dissolution of specifically defined crystal areas with micron-scale accuracy. This technique effectively prescribes crystal shaping and creates arbitrarily shaped voids within crystals. We further investigate both computationally and experimentally the key factors governing volumetric material subtraction. The developed automated light-milling platform enables the fabrication of nanomaterials exhibiting both DNA-programmable nanoscale order and custom-designed mesoscale architecture.

Nano LettersVol. 25(34)
Brookhaven National Laboratory (US), Faculty (United Kingdom) (GB), Nanomed (Brazil) (BR), Institute for Basic Science (KR), Center for Functional Nanomaterials, University of Warsaw (PL), Columbia University (US)
Narodowe Centrum Nauki, Uniwersytet Warszawski, Basic Energy Sciences, Army Research Office
Openalex Percentile: Top 25%
Advanced biosensing and bioanalysis techniques
0.81
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.