Literature DB >> 29120772

Evaluation of extractable polyphenols released to wine from cooperage byproduct by near infrared hyperspectral imaging.

Berta Baca-Bocanegra1, Julio Nogales-Bueno1, José Miguel Hernández-Hierro1, Francisco José Heredia2.   

Abstract

Extractable total phenolic content of American non-toasted oak (Quercus alba L.) shavings has been determined using near infrared hyperspectral imaging. A like-wine model solution was used for the simulated maceration procedure. Calibrations were performed by partial least squares regression (MPLS) using a number of spectral pre-treatments. The coefficient of determination of wood for extractable total phenolic content was 0.89, and the standard error of prediction was 6.3 mg g-1. Thus, near infrared hyperspectral imaging arises as an attractive strategy for predicting extractable total phenolic content in the range of 0-65 mg g-1, of great relevance from the point of view of quality assurance regarding wood used in the wine sector. Near infrared hyperspectral imaging arises as an attractive strategy for the feasibility of enhancing the value of cooperage byproduct through the fast determination of extractable bioactive molecules, such as polyphenols.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Byproduct; Near infrared hyperspectral imaging; Oak; Phenolic compounds

Mesh:

Substances:

Year:  2017        PMID: 29120772     DOI: 10.1016/j.foodchem.2017.10.027

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


  3 in total

1.  Reduction of the Number of Samples for Cost-Effective Hyperspectral Grape Quality Predictive Models.

Authors:  Julio Nogales-Bueno; Francisco José Rodríguez-Pulido; Berta Baca-Bocanegra; Dolores Pérez-Marin; Francisco José Heredia; Ana Garrido-Varo; José Miguel Hernández-Hierro
Journal:  Foods       Date:  2021-01-23

2.  Potential of Cooperage Byproducts Rich in Ellagitannins to Improve the Antioxidant Activity and Color Expression of Red Wine Anthocyanins.

Authors:  María Luisa Escudero-Gilete; Dolores Hernanz; Celia Galán-Lorente; Francisco J Heredia; María José Jara-Palacios
Journal:  Foods       Date:  2019-08-09

3.  Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning.

Authors:  Yong Yang; Jianping Chen; Yong He; Feng Liu; Xuping Feng; Jinnuo Zhang
Journal:  RSC Adv       Date:  2020-12-15       Impact factor: 4.036

  3 in total

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