@article{doi:10.1021/acs.analchem.4c04859,

title = {Plasmonic Geometry-Induced Viscoelastic Biocomplex Formation with Optical Concealment, Liquid Slips, and Soundscapes in Bioassays},

author = {Zoe Bradley and Nikhil Bhalla},

url = {https://doi.org/10.1021/acs.analchem.4c04859},

doi = {10.1021/acs.analchem.4c04859},

year  = {2025},

date = {2025-03-25},

journal = {Analytical Chemistry},

volume = {0},

number = {0},

pages = {null},

abstract = {Plasmonic nanoparticles (NPs), typically made up of gold or silver, are widely used in point-of-care bio- and chemical sensing due to their role in enhancing detection sensitivity. Key NP properties influencing sensing performance include the material type, NP size, and geometry. While much research has focused on material and size optimization, less attention has been given to understand NP geometry effects and interactions with biomolecules involved in the bioassay. In this context, we investigate the interfacial properties of the biocomplex formed by spherical-shaped gold nanoparticles (AuNPs) and gold nanostars (AuNSts) during a sandwich assay using localized surface plasmon resonance (LSPR) and quartz crystal microbalance with dissipation (QCM-D). The chosen model to study the biocomplex specifically detects interleukin-6 (IL-6). Our results show that AuNSts, with their anisotropic shape and higher surface area, form antibody–antigen complexes more effectively than AuNPs. AuNSts also create a softer, more hydrated layer due to their complex geometry, which leads to larger liquid slips. Lastly, we showed that AuNSts avoid optical concealment at high IL-6 concentrations, unlike AuNPs, making them more reliable for detecting a wider range of concentrations. These findings highlight the importance of optimizing NP geometry for improved bio/chemical sensor performance.},

note = {PMID: 40131300},

keywords = {Liquids, Mathematical methods, Metal nanoparticles, openQCM NEXT, Peptides and proteins, QCM-D, sensors},

pubstate = {published},

tppubtype = {article}

}