Advances in surface-enhanced Raman scattering (SERS) detection have helped to
overcome the limitations of traditional in vitro diagnostic methods, such as fluorescence and …

Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis.
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …

Plasmonic nanomaterials have outstanding optoelectronic properties potentially enabling
the next generation of catalysts, sensors, lasers and photothermal devices. Owing to optical …

Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool
for applications in biology and medicine owing to its ease-of-use, non-destructive, and label …

Future precision medicine will be undoubtedly sustained by the detection of validated
biomarkers that enable a precise classification of patients based on their predicted disease …

Rapid and sensitive pathogen detection is important for prevention and control of disease.
Here, we report a label-free diagnostic platform that combines surface-enhanced Raman …

Cells and their derived extracellular vesicles (EVs) or exosomes contain unique molecular
signatures that could be used as biomarkers for the detection of severe diseases such as …

Surface-enhanced Raman scattering (SERS) as a powerful non-invasive spectroscopic
technique has been intensively used in bio/chemical sensing, enabling ultrasensitive …

The way to analyze data in spectroscopy has changed substantially. At the same time, data
science has evolved to the point where spectroscopy can find space to be housed, adapted …

Metabolites are important biomarkers in human body fluids, conveying direct information of
cellular activities and physical conditions. Metabolite detection has long been a research …