Literature DB >> 32387957

ATR-MIR spectroscopy as a tool to assist 'Tempranillo' clonal selection process: Geographical origin and year of harvest discrimination and oenological parameters prediction.

André Mendes Lemos1, Nelson Machado2, Marcos Egea-Cortines3, Ana Isabel Barros4.   

Abstract

The present study evaluated the ability of Attenuated Total Reflectance - Mid-Infrared (ATR-MIR) spectroscopy combined with Partial Least Squares Discriminant Analysis (PLS-DA) to discriminate the origin and harvest year of 'Tempranillo' grape clones and with Partial Least Squares (PLS) regressions to predict its contents in soluble solids (SS), pH and titratable acidity (TA). Normalized spectra of grape homogenates and normalized plus 1st Derivative spectra of grape skins allowed an overall percentage of correct classifications of 99.6% and 96.7% in validation, according to origin, and 98.3% and 90.0% in validation, according to harvest year, respectively. The normalized spectra of grape homogenates allowed a calibration and validation determination coefficients (R2) of 0.92 and 0.90 for SS, 0.90 and 0.84 for pH, 0.88 and 0.84 for TA, respectively. The ATR-MIR combined with multivariate analysis showed to be an appropriate tool to assist the clonal selection process of 'Tempranillo'.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ATR-MIR spectroscopy; Clones; Geographical origin discrimination; Oenological parameters prediction; Tempranillo

Year:  2020        PMID: 32387957     DOI: 10.1016/j.foodchem.2020.126938

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Detection of Pesticide Residue Level in Grape Using Hyperspectral Imaging with Machine Learning.

Authors:  Weixin Ye; Tianying Yan; Chu Zhang; Long Duan; Wei Chen; Hao Song; Yifan Zhang; Wei Xu; Pan Gao
Journal:  Foods       Date:  2022-05-30
  1 in total

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