Uniform coating of separated nanodiamonds <i>via</i> thin polymer-assisted electrostatic self-assembly for thermal sensing

Nanodiamonds (NDs) with nitrogen-vacancy (NV) centers have shown significant potential for nano- and micro-scale local temperature sensing and imaging. However, the challenge lies in achieving non-invasive measurement, due to the high thermal conductivity of diamond that can cause strong thermal spreading and heat dissipation. A solution to this problem is to prepare separated NDs for thermal sensing. Here, we introduce a method for uniform coating of separated NDs through a rapid thin polymer-assisted electrostatic self-assembly process. This method can be applied on a large scale at low cost under ambient conditions. By testing with negatively charged carboxylated 100 nm NDs, we demonstrate ND coatings with a controlled area density (up to 1.74 × 10<sup>9</sup> cm<sup>-2</sup>) and a low optical transmission loss of 1.21%. Despite the size variation of the NDs, the separated ND coating exhibits a low measurement error of 1.32 °C in thermal mapping between 27 and 80 °C. Furthermore, by steady-state thermal simulations, we show more than a sevenfold reduction in thermal spreading of the separated ND coating compared to a 100 nm thick ND film. This work offers a simple method for large-scale coating of separated NDs, paving the way for achieving non-invasive and accurate ND-based thermal sensing.

Authors

Institutions

Publication Details

Journal
Nanoscale
Published
2025-01-01
DOI
https://doi.org/10.1039/d5nr02012c
Primary Topic
Diamond and Carbon-based Materials Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uniform coating of separated nanodiamonds via thin polymer-assisted electrostatic self-assembly for thermal sensing

Hui Sun, Haidong Liang, Ee Jin Teo, Andrew A. Bettiol et al.
Nanoscale
Diamond and Carbon-based Materials Research
article

Uniform coating of separated nanodiamonds via thin polymer-assisted electrostatic self-assembly for thermal sensing

Hui Sun, Haidong Liang, Ee Jin Teo, Andrew A. Bettiol, Vinh X. Ho, Vignesh Suresh, Chengyuan Yang, Aliki Sofia Rotelli
article en

Abstract

Nanodiamonds (NDs) with nitrogen-vacancy (NV) centers have shown significant potential for nano- and micro-scale local temperature sensing and imaging. However, the challenge lies in achieving non-invasive measurement, due to the high thermal conductivity of diamond that can cause strong thermal spreading and heat dissipation. A solution to this problem is to prepare separated NDs for thermal sensing. Here, we introduce a method for uniform coating of separated NDs through a rapid thin polymer-assisted electrostatic self-assembly process. This method can be applied on a large scale at low cost under ambient conditions. By testing with negatively charged carboxylated 100 nm NDs, we demonstrate ND coatings with a controlled area density (up to 1.74 × 10<sup>9</sup> cm<sup>-2</sup>) and a low optical transmission loss of 1.21%. Despite the size variation of the NDs, the separated ND coating exhibits a low measurement error of 1.32 °C in thermal mapping between 27 and 80 °C. Furthermore, by steady-state thermal simulations, we show more than a sevenfold reduction in thermal spreading of the separated ND coating compared to a 100 nm thick ND film. This work offers a simple method for large-scale coating of separated NDs, paving the way for achieving non-invasive and accurate ND-based thermal sensing.

NanoscaleVol. 17(36)
Agency for Science, Technology and Research (SG), National University of Singapore (SG), Institute of Materials Research and Engineering (SG)
Openalex Percentile: Top 85%
Diamond and Carbon-based Materials Research
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.