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Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System
Published on: June 13, 2010
Magnetic core-satellite SERS biosensor for ultrasensitive quantification of squamous cell carcinoma antigen in human
Hongping Xiao1, Xinying Wang2, Siqi Xue3
1Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350117, China.
Abstract:
Squamous cell carcinoma antigen (SCCA) a magnetic enrichment-assisted core-satellite surface-enhanced Raman scattering (SERS) biosensor for ultrasensitive squamous cell carcinoma antigen (SCCA) detection is reported. Magnetic nanoparticles functionalized with SCCA capture antibodies act as enrichment cores, while 4-mercaptobenzoic acid (MBA)-encoded Au@Ag core-shell nanoparticles conjugated with SCCA detection antibodies serve as SERS satellites. Target-mediated sandwich immunorecognition induces a dynamically assembled core-satellite structure, bringing plasmonic nanogaps into close proximity and generating reproducible electromagnetic hot spots for signal amplification. Magnetic pre-enrichment and controlled assembly help reduce nonspecific protein interference in serum and contribute to stable signal generation. The biosensor exhibited a monotonic concentration-dependent Raman response over the range of 1 fg/mL to 10¹¹ fg/mL and achieved a limit of detection (LOD) of 60.0 fg/mL. Quantitative determination of serum samples was performed using an independently established matrix-matched calibration curve. The platform was further validated using real human serum samples from early-stage lung SqCC patients (n = 8) and healthy controls (n = 8), showing higher SCCA concentrations in patient samples than in healthy controls and clear discrimination between the two groups. Overall, the proposed magnetic enrichment-assisted core-satellite SERS immunoassay provides a robust analytical strategy for sensitive SCCA quantification in complex serum matrices.

