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Stimulated surface‐enhanced Raman scattering (SERS) in combination with engineered nano‐tracer offers extraordinary potential in lateral flow immunoassays (LFIAs). Nonetheless, the investigation execution of SERS‐LFIA is often compromised by the intricacy and overlap of the Raman fingerprint spectrum as well as the affinity‐interference of nano‐tracer to antibody. To circumvent these critical issues,...
The surface‐enhanced Raman scattering (SERS) technique with ultrahigh sensitivity has gained attention to meet the increasing demands for food safety analysis. The integration of machine learning and SERS facilitates the practical applicability of sensing devices. In this study, a machine learning‐driven 3D plasmonic cavity‐in‐cavity (CIC) SERS platform is proposed for sensitive and quantitative detection...
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