TY - JOUR
T1 - The prediction of ripening parameters in Primitivo wine grape cultivar using a portable NIR device
AU - Ferrara, Giuseppe
AU - Melle, Andrea
AU - Marcotuli, Valerio
AU - Botturi, Davide
AU - Fawole, Olaniyi Amos
AU - Mazzeo, Andrea
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/12
Y1 - 2022/12
N2 - A portable NIR device, the SCiO™ molecular sensor (Consumer Physics Inc., Israel) operating in the range 740–1070 nm, was used to determine some ripening parameters, namely total soluble solids (TSS), titratable acidity (TA), and pH, of Primitivo wine grape cultivar. Data of Primitivo berries trained to Guyot (unilateral) and bush-vine (named in Italy as ‘Alberello’), were collected in the vineyard with the device and compared with laboratory analysis during the 2019 and 2020 seasons. The calibration models provided similar results for both Guyot and Alberello; the TSS model with R2 = 0.97, RMSE = 1.33, and RPD = 5.76 for Guyot and with R2 = 0.97, RMSE = 1.41, and RPD = 5.31 for Alberello were the best models. Finally, the calibrated models were validated on a different dataset showing that the device is eligible for non-destructive assessments of ripening parameters of wine grape cultivars. The best results were obtained for the TSS model validation with R2 = 0.95; RMSE = 1.86, RPD = 4.07 for Guyot and R2 = 0.92, RMSE = 2.53, RPD = 3.17 for Alberello.
AB - A portable NIR device, the SCiO™ molecular sensor (Consumer Physics Inc., Israel) operating in the range 740–1070 nm, was used to determine some ripening parameters, namely total soluble solids (TSS), titratable acidity (TA), and pH, of Primitivo wine grape cultivar. Data of Primitivo berries trained to Guyot (unilateral) and bush-vine (named in Italy as ‘Alberello’), were collected in the vineyard with the device and compared with laboratory analysis during the 2019 and 2020 seasons. The calibration models provided similar results for both Guyot and Alberello; the TSS model with R2 = 0.97, RMSE = 1.33, and RPD = 5.76 for Guyot and with R2 = 0.97, RMSE = 1.41, and RPD = 5.31 for Alberello were the best models. Finally, the calibrated models were validated on a different dataset showing that the device is eligible for non-destructive assessments of ripening parameters of wine grape cultivars. The best results were obtained for the TSS model validation with R2 = 0.95; RMSE = 1.86, RPD = 4.07 for Guyot and R2 = 0.92, RMSE = 2.53, RPD = 3.17 for Alberello.
KW - NIR spectroscopy
KW - Non-destructive measurement
KW - PH
KW - TA
KW - TSS
KW - Wine grape
UR - http://www.scopus.com/inward/record.url?scp=85136523959&partnerID=8YFLogxK
U2 - 10.1016/j.jfca.2022.104836
DO - 10.1016/j.jfca.2022.104836
M3 - Article
AN - SCOPUS:85136523959
SN - 0889-1575
VL - 114
JO - Journal of Food Composition and Analysis
JF - Journal of Food Composition and Analysis
M1 - 104836
ER -