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Prediction models for assessing anthocyanins in grape berries by fluorescence sensors: Dependence on cultivar, site and growing season

Author:
Pinelli, Patrizia, Romani, Annalisa, Fierini, Elisa, Agati, Giovanni
Source:
Food chemistry 2018 v.244 pp. 213-223
ISSN:
0308-8146
Subject:
anthocyanins, chemistry, chlorophyll, cultivars, fluorescence, grapes, growing season, models, prediction
Abstract:
Fluorescence sensors are useful tools for the non-destructive assessment of grape berry anthocyanins. The Multiplex (Mx) sensor here studied provides two anthocyanin indices: ANTHR = log(1/Chl-fluorescence_R) and ANTHRG = log(Chl-fluorescence_R/Chl-fluorescence_G), based on the chlorophyll (Chl) fluorescence excited with red (R) and green (G) light. These indices were calibrated against wet chemistry. The dependence of anthocyanin prediction models on cultivar, season and site was studied on four cultivars in two Italian regions during three consecutive years. The 2010 global model (all cultivars at both growing sites) gave relative prediction errors on anthocyanin content less than 14.1% (ANTHR) and 19.0% (ANTHRG). The ANTHRG was independent of season, maintaining a relative error of about 20% in both 2011 and 2012. In field applications of the calibrated Mx, it showed its ability to detect inter-plot and inter-season differences on both growing sites.
Agid:
5838835