AIMC Topic: Spectrum Analysis, Raman

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From biosensing to perception: Collaborative few-shot learning for explainable digital biomarker identification in high-dimensional biomedical spectra.

Biosensors & bioelectronics
The application of in vitro diagnostic biosensors for early cancer detection remains challenging due to the insufficient representation by a few molecular biomarkers. Digital biomarkers promise comprehensive disease phenotyping but face constraints o...

Label-Free SERS Platform Assisted by Machine Learning for Multi-Target Detection and Physiological State Classification in Sweat.

Analytical chemistry
The detection of sweat metabolites is crucial for health monitoring, disease screening, and personalized medicine. Traditional methods encounter challenges like low metabolite concentrations, complex biological matrices, and difficulty in achieving m...

Single-cell Raman imaging reveals fructose impairs brown adipocyte differentiation.

Biosensors & bioelectronics
Brown adipose tissue (BAT) plays a pivotal role in energy expenditure and metabolic health, yet the influence of specific sugars like fructose on brown adipocyte development remains poorly understood. Here, we employ high-speed line-illumination Rama...

A magnetic coupled organic SERS platform integrating acetonitrile-driven microextraction and hotspot enrichment: A new strategy for highly sensitive and precise detection of drug molecules in complex matrices.

Biosensors & bioelectronics
The sensitive detection of drug molecules in complex biological samples presents significant challenges, including weak signal intensity, strong matrix interference, and inefficient access of molecules to SERS hotspots. To address these issues, this ...

GSH and Halides Directed Controllable Synthesis of Chiral Gold Nanostars for Sensitive Diagnosis of Nephritis Types Using SERS and Transformer Neural Network.

Analytical chemistry
Surface-enhanced Raman spectroscopy (SERS) has shown potential for early disease diagnosis via urinary metabolomics, but still faces challenges in achieving stable hot spots and processing complex clinical data. In this study, the preparation of chir...

Methods for sample preparation and signal amplification in antibiotic detection using surface-enhanced Raman scattering.

Food chemistry
The widespread use of antibiotics, along with their unregulated infiltration into the environment, presents a significant waste challenge for the ecosystem and poses an equal risk to all species. Advanced tools are essential for the pretreatment, iso...

Explainable Deep Learning Framework for SERS Bioquantification.

ACS sensors
Surface-enhanced Raman spectroscopy (SERS) is rapidly gaining attention as a fast and inexpensive method of biomarker quantification, which can be combined with deep learning to elucidate complex biomarker-disease relationships. Current standard prac...

A 3D Nanofiltration Array for Direct Plasma EV Purification with Label-Free SERS Detection toward Accurate Clinical Breast Cancer Staging.

ACS sensors
Extracellular vesicles (EVs) have emerged as promising biomarkers in cancer diagnostics. However, rapid and nondestructive isolation of EVs from plasma remains challenging due to the presence of abundant interferents with smaller sizes (e.g., protein...

Raman Spectroscopy and Machine Learning in the Diagnosis of Breast Cancer.

Lasers in medical science
The most prevalent cancer in women worldwide, breast cancer, greatly benefits from early identification for better prognoses. But traditional diagnostic techniques, like biopsies and mammograms, can require invasive procedures and lack accuracy. The ...

Label-free diagnostic procedure for hirschsprung's disease to detect intestinal mucosal characteristics of aganglionosis by Raman spectroscopy with optimized decision algorithms.

Lasers in medical science
PURPOSE: Hirschsprung's disease (HSCR) is an intestinal disorder characterized by the absence of nerve cells in parts of the intestinal tract. The definitive diagnosis is confirmed by a full-thickness rectal biopsy to verify the absence of ganglion c...