In recent years, the variety and volume of data acquired by modern analytical instruments in
order to conduct a better authentication of food has dramatically increased. Several pattern …

In recent years, decreased cost, miniaturisation and advances in computing power and data
processing software have led to widespread introduction of Fourier-transform (FT) …

Artificial intelligence and machine learning (AI–ML) offer vast potential in optimal design,
monitoring, and control of biopharmaceutical manufacturing. The driving forces for adoption …

The problem of automating the data analysis of microplastics following a spectroscopic
measurement such as focal plane array (FPA)-based micro-Fourier transform infrared …

Data analysis is a very challenging task in LC-MS metabolomic studies. The use of powerful
analytical techniques (eg, high-resolution mass spectrometry) provides high-dimensional …

Spectroscopy is widely used to characterize pharmaceutical products or processes,
especially due to its desirable characteristics of being rapid, cheap, non-invasive/non …

Herbal drugs or herbal medicines (HMs) have a long-standing history as natural remedies
for preventing and curing diseases. HMs have garnered greater interest during the past …

This study provides an innovative approach to improve deep learning (DL) models for
spectral data processing with the use of chemometrics knowledge. The technique proposes …

Raman spectroscopy is an emerging technique in bioanalysis and imaging of biomaterials
owing to its unique capability of generating spectroscopic fingerprints. Imaging cells and …

The contribution of chemometrics to important stages throughout the entire analytical
process such as experimental design, sampling, and explorative data analysis, including …