AIMC Topic: Spectrum Analysis, Raman

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The SERS method based on the COF-ag substrate, combined with machine learning, is used for the detection of tetracycline and oxytetracycline in milk.

Food chemistry
Tetracycline antibiotics, valued for potent antibacterial effects, are widely used in livestock but raise concerns over unsafe residues in milk. In this study, a surface-enhanced Raman spectroscopy (SERS) method based on an amino-functionalized coval...

Molecular enrichment integrated with soft voting for efficient SERS detection of multiple drugs.

Analytica chimica acta
Surface-enhanced Raman spectroscopy (SERS) is regarded as a powerful tool for rapid drug identification in the liquid phase. However, the implementation of SERS for drug detection in the liquid phase remains constrained by two critical limitations: i...

Integrated Chemical Array and SERS Profiling of Plasma Small Extracellular Vesicles for Breast Cancer Diagnosis.

Nano letters
Small extracellular vesicles (sEVs) are nanoscale vesicles carrying biomolecules reflective of their cellular origin, making them attractive biomarkers for cancer diagnosis. In this study, we present a high-throughput strategy integrating amphiphile-...

Integrating spatial and chemical information enhances differentiation of non-alcoholic steatohepatitis states in Raman imaging.

Scientific reports
Machine learning studies for Raman imaging have addressed the differentiability of normal and diseased states in biomedical applications by grouping a set of Raman spectra in terms of spectral similarity over the sample. However, Raman imaging provid...

Self-Assembled Plasmonic Magnifier: A New Platform for Ultra-Sensitive Detection of Respiratory Viruses Using Surface-Enhanced Raman Spectroscopy.

Analytical chemistry
Accurate and sensitive pathogen detection is critical for the prevention and control of respiratory viral infections, which pose significant threats to global health, particularly for vulnerable populations such as children, the elderly, and immunoco...

Machine Learning-Assisted 3D SERS Chip with Acoustic Enrichment for High-Accuracy Diagnosis of Respiratory Viruses and Emerging Pathogens.

ACS sensors
Outbreaks of SARS-CoV-2, first investigated as an unknown pathogen, have reflected the severe threat that pathogen X poses to public health and social security. Early and precise diagnosis and classification of infectious respiratory diseases with si...

Single-Cell Raman Spectroscopy Combined with Metabolomics Reveals Distinct Metabolic Profiles in Medulloblastoma Subtypes.

Analytical chemistry
Tumor heterogeneity poses a major challenge to the precision treatment of medulloblastoma (MB). Rapid and accurate subtyping tools are urgently needed for informed clinical decision-making. Herein, we demonstrate the utility of Raman spectroscopy (RS...

An artificial intelligence-enhanced early ovarian cancer diagnosis biosensor.

Journal of materials chemistry. B
In early cancer diagnosis, extracellular vesicles (EVs) are more advantageous than circulating tumor cells due to their smaller size, greater stability, and enhanced tissue penetration. These qualities lead to higher EV concentrations in body fluids,...

Deep Raman Quantitative Profiling and Augmented Features for Biologically Interpretable GI Cancer Detection.

Analytical chemistry
Early diagnosis of gastrointestinal (GI) cancer is critical. Raman spectroscopy combined with deep learning offers a noninvasive molecular quantification approach. This study developed a synergistic framework integrating Raman spectroscopy and convol...

SERS mapping combined with explainable deep learning for exosome analysis to enhance lung cancer detection.

The Analyst
Exosomes are critical biomarkers for early cancer diagnosis and prognosis due to their rich biological information. Nevertheless, analyzing exosomal biomarkers comprehensively remains challenging. Surface-enhanced Raman scattering (SERS) has been emp...