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 …

In recent years, modern spectral analysis techniques, such as ultraviolet–visible (UV-vis)
spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, Raman …

Biopsy is the recommended standard for pathological diagnosis of liver carcinoma.
However, this method usually requires sectioning and staining, and well-trained pathologists …

In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …

Abstract Machine learning is shaping up our lives in many ways. In analytical sciences,
machine learning provides an unprecedented opportunity to extract information from …

In recent years, bioanalytical surface-enhanced Raman spectroscopy (SERS) has
blossomed into a fast-growing research area. Owing to its high sensitivity and outstanding …

Raman microspectroscopy offers microbiologists a rapid and non-destructive technique to
assess the chemical composition of individual live microorganisms in near real time. In this …

Surface-enhanced Raman scattering (SERS) provides significantly enhanced Raman
scattering signals from molecules adsorbed on plasmonic nanostructures, as well as the …

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

The Raman spectrum of living cells and microorganisms contains highly specific fingerprint‐
like signatures, useful in unequivocally identifying different species and interpreting …