Asymmetric Nanobowl Confinement-Engineered “Plasmonic Storms” for Machine Learning-Assisted Ultrasensitive Immunochromatographic Assay of Pathogens
Yuechun Li, Zhaowen Cui, Longhua Shi, Qinyuan Bao, Rui Shu, Wenxin Zhu, Wentao Zhang, Yanwei Ji, Yizhong Shen, Jie Cheng, Jianlong Wang
Abstract
Efficient field enhancement effects through plasmonic chemistry for ultrasensitive biosensing still face a great challenge. Herein, nanoconfinement engineering accumulation and synergistic effects are used to develop a “plasmonic storms” strategy with a high field enhancement effect, and gold nanoparticles (AuNPs) are used as active sites for a proof of concept because of their distinctive localized surface plasmon resonance and neighborly coupled electromagnetic field. Briefly, a large number of AuNPs are selectively and accurately stacked in the confined nanocavity of the bowl-like nanostructure through an in situ-synthesized strategy, which provides a space for strong coupling of electromagnetic fields between these adjacent AuNPs, forming “plasmonic storms” with an enhanced field that is 3 orders of magnitude higher than that of free AuNPs. The proposed nanoconfinement-engineered “plasmonic storms” are demonstrated by surface-enhanced Raman scattering (SERS) and photothermal experiments and theoretically visualized by finite element simulation. Finally, the proposed “plasmonic storms” are used for enhanced colorimetric/SERS/photothermal immunochromatographic assay to detect Salmonella typhimurium with the help of a machine learning algorithm, achieving a low limit of detection of 142 CFU mL –1, highlighting the potential of nanoconfinement in biosensing.