The use of instrumental acoustic parameters produced during a compression test as reliable predictors of the extractable phenolic composition in intact winegrape seeds, determined by reference chemical methods, was evaluated by means of the analytical performance of calibration models. These models were developed only for those phenolic compounds most significantly and strongly correlated with the acoustic parameters. The analytical performance of the models was expressed in terms of standard error of cross-validation (SECV) and residual predictive interquartile amplitude (RPIQ), among other statistics. Several acoustic parameters showed satisfactory predictive accuracy for the percentage of galloylation in the terminal units, the content of (-)-epicatechin and the mean degree of polymerization. Most of the reliable models developed are fairly recommended not for quantitative purposes but for fast screening (SECV%<19, 1.6<RPIQ<2.1).
Rolle, L.; Giacosa, S.; Torchio, F.; Perenzoni, D.; Río Segade, S.; Gerbi, V.; Mattivi, F. (2013). Use of instrumental acoustic parameters of winegrape seeds as possible predictors of extractable phenolic compounds. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 61 (37): 8752-8764. doi: 10.1021/jf4024382 handle: http://hdl.handle.net/10449/22460
Use of instrumental acoustic parameters of winegrape seeds as possible predictors of extractable phenolic compounds
Perenzoni, Daniele;Mattivi, Fulvio
2013-01-01
Abstract
The use of instrumental acoustic parameters produced during a compression test as reliable predictors of the extractable phenolic composition in intact winegrape seeds, determined by reference chemical methods, was evaluated by means of the analytical performance of calibration models. These models were developed only for those phenolic compounds most significantly and strongly correlated with the acoustic parameters. The analytical performance of the models was expressed in terms of standard error of cross-validation (SECV) and residual predictive interquartile amplitude (RPIQ), among other statistics. Several acoustic parameters showed satisfactory predictive accuracy for the percentage of galloylation in the terminal units, the content of (-)-epicatechin and the mean degree of polymerization. Most of the reliable models developed are fairly recommended not for quantitative purposes but for fast screening (SECV%<19, 1.6File | Dimensione | Formato | |
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