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Gas chromatographic quantitative analysis of methanol in wine: operative conditions, optimization and calibration model choice
Authors:Caruso Rosario  Gambino Grazia Laura  Scordino Monica  Sabatino Leonardo  Traulo Pasqualino  Gagliano Giacomo
Institution:Dipartimento dell 'Ispettorato Centrale della Tutela della Qualitá e Repressione Frodi dei Prodotti Agroalimentari, Laboratorio di Catania, Via A. Volta 19, 95122 Catania, Italy. r.caruso@mpaaf.gov.it
Abstract:The influence of the wine distillation process on methanol content has been determined by quantitative analysis using gas chromatographic flame ionization (GC-FID) detection. A comparative study between direct injection of diluted wine and injection of distilled wine was performed. The distillation process does not affect methanol quantification in wines in proportions higher than 10%. While quantification performed on distilled samples gives more reliable results, a screening method for wine injection after a 1:5 water dilution could be employed. The proposed technique was found to be a compromise between the time consuming distillation process and direct wine injection. In the studied calibration range, the stability of the volatile compounds in the reference solution is concentration-dependent. The stability is higher in the less concentrated reference solution. To shorten the operation time, a stronger temperature ramp and carrier flow rate was employed. With these conditions, helium consumption and column thermal stress were increased. However, detection limits, calibration limits, and analytical method performances are not affected substantially by changing from normal to forced GC conditions. Statistical data evaluation were made using both ordinary (OLS) and bivariate least squares (BLS) calibration models. Further confirmation was obtained that limit of detection (LOD) values, calculated according to the 3sigma approach, are lower than the respective Hubaux-Vos (H-V) calculation method. H-V LOD depends upon background noise, calibration parameters and the number of reference standard solutions employed in producing the calibration curve. These remarks are confirmed by both calibration models used.
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