This contribution reviews state-of-the approaches for chromatographic fingerprinting of 2D
peak patterns. Concepts of sample's fingerprint and profile, as established in metabolomics …

The unceasing evolution of analytical instrumentation determines an exponential increase of
data production, which in turn boosts new cutting-edge analytical challenges, requiring a …

(GC) methods is an indispensable tool in the analytical chemist's tool box. A myriad of fields
of study rely upon the application of GC methods to address an ever growing demand to …

Abstract Machine learning (ML) has been used previously to recognize particular patterns of
constituent compounds. Here, ML is used with comprehensive chemical fingerprints that …

Comprehensive two-dimensional gas chromatography (GC× GC) is a powerful analytical
tool for both nontargeted and targeted analyses. However, there is a need for more …

Sensomics, like other “omics” fields, cuts across chemistry and biology and so requires
holistic strategies capable of comprehensively map** the set of all potential ligands (eg …

Computer Vision is an approach of Artificial Intelligence (AI) that conceptually enables
“computers and systems to derive useful information from digital images” giving access to …

Comprehensive two-dimensional gas chromatography coupled with mass spectrometric
detection (GC× GC–MS) offers an information-rich basis for effective chemical fingerprinting …

The information potential of comprehensive two-dimensional gas chromatography combined
with time of flight mass spectrometry (GC× GC-TOFMS) featuring tandem hard (70 eV) and …

The study explores the complex volatile fraction of extra-virgin olive oil by combining high
concentration-capacity headspace approaches with comprehensive two-dimensional gas …