The grape selection at the consignment is crucial for big cooperative companies with thousands of members, and therefore grapes may have different quality characteristics and health status. The quantification of diseases on wine grapes is commonly performed by a visual evaluation of the infection symptoms in grape bunches. Based on grapes quality, wineries often enforce a price penalty downgrading the grapes value imposing a severe reduction of vine growers' income. The application of optical techniques could minimize contentious between members and winery and could improve the standardization of the grape quality and therefore of the wine. The aim of this work was to investigate the applicability of vis/NIR spectroscopy for a rapid assessment of phytosanitary status of grape bunches directly at the check point at the grape consignment. This preliminary experimental step was conducted in lab-scale condition using a vis/NIR device built specially for analysis of non-homogeneous product in the spectral range 400-1650 nm. Spectral measurements were carried out on healthy (1235 samples) and diseased bunches (1324) from white and red grapes for a total of 2559 spectra. Quantitative (Partial Least Squares - Discriminant Analysis, PLS-DA) analyses were applied on grape spectra in order to test the performance of vis/NIR spectroscopy to classify healthy and infected bunches. The results obtained from PLS-DA models, in cross-validation, gave positive predictive values of classification between 89.8 % and 91.1 %. Results demonstrated that vis/NIR spectroscopy is capable to provide useful information about wine grape phytosanitary status. However, further studies and real scale measurements are needed to determine the best operating conditions for a future engineering phases to perform the measurements directly at the consignment check point station.
Classification of Wine Grape Based on Different Phytosanitary Status by Using Visible/Near Infrared Spectroscopy / V. Giovenzana, R. Beghi, L. Brancadoro, R. Guidetti. - In: CHEMICAL ENGINEERING TRANSACTIONS. - ISSN 2283-9216. - 58(2017 Jul), pp. 331-336.
|Titolo:||Classification of Wine Grape Based on Different Phytosanitary Status by Using Visible/Near Infrared Spectroscopy|
GIOVENZANA, VALENTINA (Primo)
BEGHI, ROBERTO (Secondo)
BRANCADORO, LUCIO (Penultimo)
GUIDETTI, RICCARDO (Ultimo)
|Settore Scientifico Disciplinare:||Settore AGR/09 - Meccanica Agraria|
|Data di pubblicazione:||lug-2017|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.3303/CET1758056|
|Appare nelle tipologie:||01 - Articolo su periodico|