LC-MS based metabolomics for the authentication of selected Greek white wines

The application of right-angle fluorescence spectroscopy as a tool to distinguish five autochthonous commercial Greek white wines

“…These findings confirmed the previous hypothesis as most of them corresponded to the maximum emission of hydroxybenzoic acid, flavonols, and flavan-3-ols. These findings have been confirmed by recent research ( Tourtoglou et al, 2014 ; Tzachristas et al, 2021 ). Specifically, analysis by LC-MS reported the most abundant molecules among the above chemical groups to be gallic acid followed by protocatechuic acid and gentisic acid ( Tzachristas et al, 2021 ).…”

“…Wine consists of a complex matrix with several fluorescent compounds corresponding in spectral regions of interest. Phenolic compounds represent well-known fluorescent molecules that are directly related to grape cultivars ( Ríos-Reina et al, 2017 ; Tzachristas et al, 2021 ). EEM spectra of white wine samples consisted of overlapped regions and therefore decomposing was necessary to be applied.…”

“…Specifically, analysis by LC-MS reported the most abundant molecules among the above chemical groups to be gallic acid followed by protocatechuic acid and gentisic acid ( Tzachristas et al, 2021 ). In addition, catechin and epicatechin were found in significant abundance ( Tzachristas et al, 2021 ).…”

“…Two widely used approaches for determining the authenticity of wine are chromatographic and spectroscopic techniques ( Anjos et al, 2020 ; Basalekou et al, 2020 ; Magdas et al, 2019a , Magdas et al, 2019b ; Popîrdă et al, 2021 ; Ranaweera et al, 2021a ). Chromatographic techniques such as gas chromatography-mass spectrometry (GC-MS) ( Tourtoglou et al, 2014 ; Tufariello et al, 2019 ; Ziółkowska et al, 2016 ) and liquid chromatography-mass spectrometry (LC-MS) ( Medel-Marabolí et al, 2021 ; Tzachristas et al, 2021 ; Valentin et al, 2020 ) allow the simultaneous determination of several compounds in one run, with high accuracy and reproducibility. However, a disadvantage of these techniques is that they require sample extraction procedures, which are often regarded as time-consuming and sometimes include toxic solvents.…”

Comparative Evaluation of Different Targeted and Untargeted Analytical Approaches to Assess Greek Extra Virgin Olive Oil Quality and Authentication

“…Both targeted and untargeted techniques have been previously combined with machine learning methods, such as PLS-DA, SVMs, Neural Networks etc. Indicatively, various agricultural products such as honey [19,20] and wine [21][22][23][24][25][26] have been investigated, considering a wide range of issues and authentication purposes such as their quality, variety and geographical and botanical origin.…”