Enantioselective low-pressure gas chromatography combined with triple quadrupole mass spectrometry for the analysis of 107 chiral and achiral pesticide residues in wine.

Authors

Giorgia Rinaldi, Mariosimone Zoccali, Peter Q Tranchida, Luigi Mondello

Published in

Analytica chimica acta. Volume 1421. Pages 346060. Nov 01, 2026. Epub Aug 01, 2026.

Abstract

The present manuscript describes the development of a low-pressure gas chromatography-triple quadrupole mass spectrometry method for the determination of multi-pesticide residues in white wine, with a specific focus on the enantiomeric separation of chiral pesticides. For such an objective, a wide-bore γ-cyclodextrin-based analytical column was evaluated under low-pressure conditions, with the aim of reducing analysis times while exploiting its high sample capacity. In the first part of the study, the best compromise between enantiomeric resolution and analysis time for seven chiral pesticides was investigated by comparing the performance of different wide-bore column lengths (30 m, 10 m and 5 m), under various gas velocities and temperature programs. The second part was focused on method development for the analysis of 107 chiral and achiral pesticides in white wine, in accordance with the SANTE guidelines. Matrix-matched calibration curves showed good linearity (R² = 0.925-0.998) across the relevant concentration ranges, while limit of quantification values ranged from 2.1 to 74.4 μg kg^-1. Intra-day precision, expressed as coefficient of variation, was always below 15 %; accuracy ranged from 73 to 125 % at the 0.01 mg kg^-1 level, from 85 to 118 % at the 0.05 mg kg^-1 level, and from 89 to 107 % at a concentration of 0.1 mg kg^-1. Recoveries were calculated at the 0.01 and 0.1 mg kg^-1 levels, with an average value of 56 % and 42 %, respectively​. The analysis of ten commercial wine samples revealed the presence of seven contaminants, with concentrations ranging from 0.02 to 0.43 mg kg^-1; notably, one enantiomer exceeded the established maximum residue limit.

PMID:
42702473
Bibliographic data and abstract were imported from PubMed on 07 Sep 2026.

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