Multimodal Evaporation on Patterned Nanoparticle Arrays for Exhaled Breath Condensate Detection
Understanding droplet evaporation behavior is fundamental to a wide range of applications, including inkjet printing, microfluidics, thermal management, and biomedical sensing. Droplet evaporation typically follows a single stick-slip model on homogeneous solid substrates, while such evaporation behavior is far more complex and poorly understood because of the chemical and structural heterogeneity of substrates in practical settings. Here, we demonstrate that droplets on topographically and chemically heterogeneous substrates─engineered via patterned gold nanoparticle (AuNP) superlattice arrays─undergo multiple coexisting evaporation modes (modes 1-3), including mode 1, characterized by directional contraction toward the center of the AuNP superlattice domain; mode 2, marked by contraction away from the domain; and mode 3, featuring directional contraction with a trailing effect on the periphery. These distinct modes were demonstrated by surface-enhanced Raman scattering (SERS), exhibiting uniform analyte distributions in mode 1, which were applied in a proof-of-concept portable mask for exhaled breath condensate (EBC) collection and molecular monitoring. This mechanistic insight into multimodal droplet evaporation breaks from the classical single-model framework, offering a controllable strategy for tailoring evaporation-driven transport and localization on heterogeneous surfaces.
Authors
- Haochen Ye
- Jikun Yin
- Cancan Li (ORCID: https://orcid.org/0009-0002-2537-6293)
- Tie Gang Wang
- Xiao Li
- Zhenjie Xue
- Xiaomeng Yin
- Xiangyu Chen
- Lindong Ma
- Shan Zhu
Institutions
- Tianjin University of Technology (CN)
- Chinese Academy of Sciences (CN)
- Intelligent Health (United Kingdom) (GB)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Journal of the American Chemical Society
- Published
- 2026-02-03
- DOI
- https://doi.org/10.1021/jacs.5c19419
- Primary Topic
- Nanomaterials and Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00