Literature DB >> 27041327

Fluorescence excitation-emission matrix spectroscopy as a tool for determining quality of sparkling wines.

Saioa Elcoroaristizabal1, Raquel M Callejón2, Jose M Amigo3, Juan A Ocaña-González4, M Lourdes Morales5, Cristina Ubeda6.   

Abstract

Browning in sparkling wines was assessed by the use of excitation-emission fluorescence spectroscopy combined with PARAllel FACtor analysis (PARAFAC). Four different cava sparkling wines were monitored during an accelerated browning process and subsequently storage. Fluorescence changes observed during the accelerated browning process were monitored and compared with other conventional parameters: absorbance at 420nm (A420) and the content of 5-hydroxymethyl-2-furfural (5-HMF). A high similarity of the spectral profiles for all sparkling wines analyzed was observed, being explained by a four component PARAFAC model. A high correlation between the third PARAFAC factor (465/530nm) and the commonly used non-enzymatic browning indicators was observed. The fourth PARAFAC factor (280/380nm) gives us also information about the browning process following a first order kinetic reaction. Hence, excitation-emission fluorescence spectroscopy, together with PARAFAC, provides a faster alternative for browning monitoring to conventional methods, as well as useful key indicators for quality control.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Browning; Heating; Kinetic modeling; PARAFAC; Sparkling wine; Storage

Mesh:

Substances:

Year:  2016        PMID: 27041327     DOI: 10.1016/j.foodchem.2016.03.037

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


  5 in total

1.  Varietal classification of white wines by fluorescence spectroscopy.

Authors:  Jana Sádecká; Michaela Jakubíková
Journal:  J Food Sci Technol       Date:  2020-02-10       Impact factor: 2.701

2.  Assessment of Binding Interaction between Bovine Lactoferrin and Tetracycline Hydrochloride: Multi-Spectroscopic Analyses and Molecular Modeling.

Authors:  Qifan Sun; Xin Gao; Hongna Bi; Yingbo Xie; Lin Tang
Journal:  Molecules       Date:  2018-07-30       Impact factor: 4.411

3.  Excitation-emission matrix fluorescence spectroscopy for cell viability testing in UV-treated cell culture.

Authors:  Klaudia Głowacz; Sandra Skorupska; Ilona Grabowska-Jadach; Patrycja Ciosek-Skibińska
Journal:  RSC Adv       Date:  2022-03-09       Impact factor: 3.361

Review 4.  The Maillard reaction in traditional method sparkling wine.

Authors:  Hannah M Charnock; Gary J Pickering; Belinda S Kemp
Journal:  Front Microbiol       Date:  2022-08-26       Impact factor: 6.064

5.  Hyperspectral Imaging and Spectrometry-Derived Spectral Features for Bitter Pit Detection in Storage Apples.

Authors:  Sanaz Jarolmasjed; Lav R Khot; Sindhuja Sankaran
Journal:  Sensors (Basel)       Date:  2018-05-15       Impact factor: 3.576

  5 in total

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