Front-face fluorescence excitation-emission matrices in combination with three-way chemometrics for the discrimination and prediction of phenolic response to vineyard agronomic practices.

Abstract:

:Phenolic extracts from cv Tempranillo grapes subjected to water stress and irrigation treatment, both of them with high and low crop load, were analyzed by front-face fluorescence. Excitation-emission matrices (EEMs) were analyzed by means of unsupervised parallel factor analysis (PARAFAC), PARAFAC supervised by linear discriminant analysis, and discriminant unfolded partial least-squares. All algorithms allowed to differentiate between water stress and irrigation grape samples when the fluorescence maxima region of catechin and epicatechin, and resveratrol was considered. A central composite design was employed for the calibration of catechin, epicatechin and resveratrol. Resveratrol was quantified by U-PLS in both, irrigated and water stressed samples, and levels between 3.46 ± 0.22 and 4.67 ± 0.08 μg mL-1 and 2.43 ± 0.60 and 3.03 ± 0.10 μg mL-1, respectively, were found. PARAFAC only allowed the determination of the sum of catechin plus epicatechin (R2 = 0.9397). The determination of total catechin plus epicatechin by means of PARAFAC was successfully validated by liquid chromatography.

journal_name

Food Chem

journal_title

Food chemistry

authors

Cabrera-Bañegil M,Valdés-Sánchez E,Moreno D,Airado-Rodríguez D,Durán-Merás I

doi

10.1016/j.foodchem.2018.07.071

subject

Has Abstract

pub_date

2019-01-01 00:00:00

pages

162-172

eissn

0308-8146

issn

1873-7072

pii

S0308-8146(18)31207-X

journal_volume

270

pub_type

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