With the development of Raman spectroscopy and the expansion of its application domains,
conventional methods for spectral data analysis have manifested many limitations. Exploring …

Background Food adulteration has emerged as a significant challenge in the food industry,
impacting consumer health and trust in the market. Utilizing machine learning especially …

This article explores the influence and applications of Artificial Intelligence (AI) in analytical
chemistry, highlighting its potential to revolutionize the analysis of complex data sets and the …

Surface-enhanced Raman scattering (SERS) can be a valuable analytical tool for
bioanalysis. However, SERS is a complex optical phenomenon resulting from light-matter …

Raman spectroscopy, renowned for its unique ability to provide a molecular fingerprint, is an
invaluable tool in industry and academic research. However, various constraints often …

Surface-enhanced Raman scattering (SERS), a variant of Raman spectroscopy, is a
powerful analytical technique that uses plasmonics to obtain detailed chemical information …

Surface-enhanced Raman spectroscopy (SERS), providing near-single-molecule-level
fingerprint information, is a powerful tool for the trace analysis of a target in a complicated …

In recent years, spectral analysis methods have developed rapidly. A key feature is the use
of chemometric methods to process spectral data for performing qualitative and quantitative …

Detecting pathogenic bacteria and their phenotypes including microbial resistance is crucial
for preventing infection, ensuring food safety, and promoting environmental protection …

This review briefly delves into the fundamental considerations of surface-enhanced Raman
scattering (SERS). This technique combines Raman spectroscopy and nanotechnology with …