In today's era of increased food consumption, consumers have become more demanding in
terms of safety and the quality of products they consume. As a result, food authorities are …

Partial least squares-discriminant analysis (PLS-DA) is a versatile algorithm that can be
used for predictive and descriptive modelling as well as for discriminative variable selection …

Human uptake abundance of microplastics via various pathways, and they accumulate in
human liver, kidney, gut and even placenta (especially with a diameter of 1 μm or less) …

The present study aimed to explore the relationship between the grade and the
characteristic aroma in Keemun black tea (KBT). Headspace solid-phase microextraction …

Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

Background Whey is the largest volume co-product of the dairy industry and over the last two
centuries, a significant amount of research has been dedicated to uncover its chemical …

The predominance of partial least squares-discriminant analysis (PLS-DA) used to analyze
metabolomics datasets (indeed, it is the most well-known tool to perform classification and …

Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention because it
provides rich chemical information and high sensitivity, being applicable in many scientific …

Metabolomics comprises the methods and techniques that are used to measure the small
molecule composition of biofluids and tissues, and is actually one of the most rapidly …

Metabolomics aims to provide a global snapshot of all small-molecule metabolites in cells
and biological fluids, free of observational biases inherent to more focused studies of …