Explorative study of apple juice fluorescence in relation to antioxidant properties

Katarzyna Włodarska , Katarzyna Pawlak-Lemańska , Igor Khmelinskii , Ewa Sikorska


Total fluorescence spectra (excitation-emission matrices, EEM) were recorded for a series of commercial apple juices, including clear and cloudy juices produced from concentrate, cloudy juices that were not from concentrate, and freshly squeezed juices. An exploratory study of the spectra with parallel factor analysis (PARAFAC) revealed three groups of fluorophores with different emission properties, and these properties were characterized by excitation/emission maxima at 270/315 nm, (310, 370)/455 nm, and 430/(550, 680) nm, respectively. A regression analysis of the total fluorescence spectra arranged into three-way arrays using N-way partial least squares regression methods (NPLS1 and NPLS2) and an analysis of the unfolded spectra by partial least squares methods (PLS1 and PLS2) revealed quantitative relations between the fluorescence and antioxidant properties of juices. The best models for the total phenolic contents and total antioxidant capacities were obtained by applying the NPLS1 method to the EEM. The model parameters were as follows: R2CV = 0.802, RPD = 2.3 for the total phenolic content and R2CV = 0.808 and RPD = 2.3 for the total antioxidant capacity. These results show the potential use of fluorescence spectroscopy for screening apple juices for their antioxidant properties.
Author Katarzyna Włodarska (WT / KTiAI)
Katarzyna Włodarska,,
- Department of Technology and Instrumental Analysis
, Katarzyna Pawlak-Lemańska (WT / KTiAI)
Katarzyna Pawlak-Lemańska,,
- Department of Technology and Instrumental Analysis
, Igor Khmelinskii - Universidade do Algarve, Portugal
Igor Khmelinskii,,
, Ewa Sikorska (WT / KTiAI)
Ewa Sikorska,,
- Department of Technology and Instrumental Analysis
Journal seriesFood Chemistry, ISSN 0308-8146, (A 40 pkt)
Issue year2016
Publication size in sheets0.5
Keywords in EnglishApple juice, Antioxidants, Fluorescence, Parallel factor analysis, Multivariate regression
ASJC Classification2700 General Medicine; 1106 Food Science; 1602 Analytical Chemistry
URL https://www.sciencedirect.com/science/article/pii/S0308814616306835
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 05-02-2020, ArticleFromJournal
Ministerial score (2013-2016) = 40.0, 05-02-2020, ArticleFromJournal
Publication indicators WoS Citations = 8; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 2.102; WoS Impact Factor: 2016 = 4.529 (2) - 2016=4.498 (5)
Citation count*25 (2021-01-22)
Share Share

Get link to the record

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Are you sure?