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

Patrizia Pinelli; Annalisa Romani; Elisa Fierini; Giovanni Agati

doi:10.1016/j.foodchem.2017.10.021

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

Food Chem. 2018 Apr 1:244:213-223. doi: 10.1016/j.foodchem.2017.10.021. Epub 2017 Oct 7.

Authors

Patrizia Pinelli¹, Annalisa Romani², Elisa Fierini², Giovanni Agati³

Affiliations

¹ DiSIA - Department of Statistics, Computer Sciences and Applications - PHYTOLAB Laboratory, Scientific and Technological Pole, University of Florence, Via Ugo Schiff, 6, 50019 Sesto Fiorentino, Firenze, Italy. Electronic address: patrizia.pinelli@unifi.it.
² DiSIA - Department of Statistics, Computer Sciences and Applications - PHYTOLAB Laboratory, Scientific and Technological Pole, University of Florence, Via Ugo Schiff, 6, 50019 Sesto Fiorentino, Firenze, Italy.
³ Istituto di Fisica Applicata "Nello Carrara" IFAC, Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Firenze, Italy.

PMID: 29120773
DOI: 10.1016/j.foodchem.2017.10.021

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: ANTH_R = log(1/Chl-fluorescence_R) and ANTH_RG = 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% (ANTH_R) and 19.0% (ANTH_RG). The ANTH_RG 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.

Keywords: Anthocyanins; Fluorescence; In-field applications; Non-destructive measurements; Optical sensors.

MeSH terms

Anthocyanins / analysis*
Calibration
Fruit / chemistry*
Models, Theoretical*
Seasons*
Spectrometry, Fluorescence
Vitis / chemistry*
Vitis / growth & development*

Substances

Anthocyanins