Authentication of apple juice categories based on multivariate analysis of the synchronous fluorescence spectra

Katarzyna Włodarska , Igor Khmelinskii , Ewa Sikorska

Abstract

The usage of synchronous fluorescence as a means for discrimination between the commercial apple juice categories was studied. We recorded total synchronous fluorescence spectra (TSFS) of commercial apple juices belonging to the two categories: those produced directly - not from concentrate (NFC), and those reconstituted from concentrate (FC). An exploratory study of the spectra using the principal component analysis (PCA) revealed differentiation between the juices of the two categories based on their fluorescence. Partial least squares discriminant analysis (PLS-DA) was used for the development of the classification models. The analysis was performed for the unfolded TSFS (uTSFS) and individual synchronous fluorescence spectra (SFS) measured at particular emission-excitation wavelength offsets (Δλ), from 10 to 160 nm with 10 nm step. The best discrimination results were obtained for the model using uTSFS in the range of Δλ = 30–160 nm, with cross-validation and external validation error rates of 0.05 and 0.06, respectively. Models based on selected individual SFS also showed similarly good predictive ability, with cross-validation and external validation error rates of 0.08 and 0.05, respectively, for the SFS measured at Δλ = 70 and 90 nm. The analysis of significant variables using selectivity ratio (SR) suggests that the fluorescence of non-enzymatic browning products may significantly contribute to the differentiation of FC and NFC juices.
Author Katarzyna Włodarska (WT / KTiAI)
Katarzyna Włodarska,,
- 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 Control, ISSN 0956-7135, (A 40 pkt)
Issue year2018
Vol86
Pages42-49
Publication size in sheets0.5
Keywords in EnglishApple juice, fluorescence, PCA, PLS-DA, classification models, variable selection
ASJC Classification1106 Food Science; 1305 Biotechnology
DOIDOI:10.1016/j.foodcont.2017.11.004
URL https://www.sciencedirect.com/science/article/pii/S0956713517305261#!
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 19-03-2020, ArticleFromJournal
Publication indicators WoS Citations = 6; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.731; WoS Impact Factor: 2018 = 4.248 (2) - 2018=4.391 (5)
Citation count*12 (2020-09-22)
Additional fields
UwagiFirst online 2 November 2017
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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