Spatiotemporal identification of therapeutic markers via dual-targeted SERS bioprobes for assessing breast cancer progression

2025/12/17 by Xinyu Miao, Xiawei Xu, Li Sun +10 · 1 voice
Biochemistry, Genetics and Molecular Biology · Engineering · Materials Science · #Gold and Silver Nanoparticles Synthesis and Applications #Photoacoustic and Ultrasonic Imaging #Spectroscopy Techniques in Biomedical and Chemical Research

paper · doi:10.1039/d5qm00808e

openalex created_date 2025/12/17 · openalex publication_date 2025/12/17 · openalex updated_date 2026/07/22

Abstract

A dual-targeted SERS strategy enables ultrasensitive detection of PD-L1 and HER2 in breast cancer. With machine learning-assisted SERS, it achieves a spatiotemporal heterogeneity accuracy of >94%.

Citations

• A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity
• Constructive molecular configurations for surface-defect passivation of perovskite photovoltaics
• Surface-enhanced Raman spectroscopy
• Exosomes
• A novel Fe2O3@CeO2 heterojunction substrate with high surface‐enhanced Raman scattering performance
• Chemical Engineering of Heterojunction SERS Substrates: Emerging Tools for Disease Diagnosis and Health Monitoring

Discussions

• Recent research by Aiguo Wu 𝘦𝘵 𝘢𝘭. Authors develop a dual-targeted SERS platform enabling single-cell–resolution detection of PD-L1 and HER2 in breast cancer with a detection limit of 2 cells mL⁻ [bsky, 1 points, 0 comments]

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