专题：Spectroscopy Techniques in Biomedical and Chemical Research

This cluster of papers focuses on the application of Raman spectroscopy, infrared spectroscopy, and related techniques in biomedical research. The papers cover a wide range of topics including protein analysis, tissue diagnosis, glucose monitoring, cancer detection, and chemical imaging for biomedical purposes.
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Spectroscopic Active Probes for Investigation of Lipid Transformation in Cells and Membranes

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Spectral Fingerprinting of Engineered Nanomaterials for Precision Biosensing

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Atmospheric carbon concentration scenario classification based on the fusion of spectral and acoustic modalities

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Enhanced plasmonic response in a WS₂–graphene–CNT-assisted Kretschmann SPR biosensor for highly sensitive urine glucose quantification in clinical diagnostics

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A urinary glucose detection platform based on 3D-MIP-SERS substrate and deep learning ensemble model

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Recent Advances in Raman Spectral Classification with Machine Learning

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Review of advances in hyper-spectral imaging-based non-destructive testing methods in food application

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Experimental and Physics-Informed Deep-Learning-Enhanced Wearable Microwave Sensor for Non-Invasive Blood Glucose Monitoring

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Selectivity and stability reshaping high-sensitivity detection boundaries: A technical leap and paradigm shift in semiconductor surface-enhanced Raman scattering

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Design and Optimization of an Inductive-Stub-Coupled CSRR for Non-Invasive Glucose Sensing

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