Dataset of volatile compounds identified, quantified and GDA generated of the maturation process of silver tequila in new French oak barrels.

This article contains data obtained by following the evolution of minor volatile compounds throughout 32 weeks of 100% Agave Silver tequila maturation in new French oak barrels under real cellar conditions. Barrels were made with the same cooperage methods in four French regions. Tequila samples were obtained every 2 weeks; volatile compounds were extracted and analyzed by GC-MS. Volatile compounds were identified and relatively quantified in % of Area. Obtained data are presented in three datasets: Identified compounds, quantification according to barrel origin, and quantification according to maturation time. General Discriminant Analysis of the quantification data sets are also shown. Interpretation of the data and discussion can be found in "Evolution of volatile compounds during the maturation process of Silver tequila in new French oak barrels" Martín-del-Campo, López-Ramírez and Estarrón-Espinosa [1].

Evaluation of chemical parameters in soft mold-ripened cheese during ripening by mid-infrared spectroscopy.

The suitability of mid-infrared spectroscopy (MIR) to follow the evolution throughout ripening of specific physicochemical parameters in Camembert-type cheeses was evaluated. The infrared spectra were obtained directly from raw cheese samples deposited on an attenuated total reflectance crystal. Significant correlations were observed between physicochemical data, pH, acid-soluble nitrogen, nonprotein nitrogen, ammonia (NH4+), lactose, and lactic acid. Dry matter showed significant correlation only with lactose and nonprotein nitrogen. Principal components analysis factorial maps of physicochemical data showed a ripening evolution in 2 steps, from d 1 to d 7 and from d 8 to d 27, similar to that observed previously from infrared spectral data. Partial least squares regressions made it possible to obtain good prediction models for dry matter, acid-soluble nitrogen, nonprotein nitrogen, lactose, lactic acid, and NH4+ values from spectral data of raw cheese. The values of 3 statistical parameters (coefficient of determination, root mean square error of cross validation, and ratio prediction deviation) are satisfactory. Less precise models were obtained for pH.