Literature DB >> 28372160

Characterization of cereal flours by fluorescence spectroscopy coupled with PARAFAC.

Lea Lenhardt1, Ivana Zeković1, Tatjana Dramićanin1, Bojana Milićević1, Jovana Burojević1, Miroslav D Dramićanin2.   

Abstract

This paper presents parallel factor analysis (PARAFAC) of fluorescence of cereal flours. Excitation-emission matrices (EEM's) of different cereal flours (wheat, corn, rye, rice, oat, spelt, barley and buckwheat) were measured in a front-face configuration over the ultraviolet-visible spectral range. EEM's showed that flours strongly fluoresce in two spectral regions, where amino acids, tocopherols, pyridoxine and 4-aminobenzoic acid show intense emissions. 4-component PARAFAC was used to model flour fluorescence and to decompose EEM's into excitation and emission spectra of each component. PARAFAC also provided relative concentrations of these components. The largest differences between flours were found in the concentration levels of the first and third component. Finally, variations in concentrations of PARAFAC modelled components were analysed in relation to the botanical origin of flour samples.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cereals; Flour; Fluorescence; PARAFAC

Mesh:

Year:  2017        PMID: 28372160     DOI: 10.1016/j.foodchem.2017.02.070

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


  4 in total

1.  The Parallel Factor Analysis of Beer Fluorescence.

Authors:  Tatjana Dramićanin; Ivana Zeković; Jovana Periša; Miroslav D Dramićanin
Journal:  J Fluoresc       Date:  2019-08-08       Impact factor: 2.217

2.  Visualization of the photodegradation of a therapeutic drug by chemometric-assisted fluorescence spectroscopy.

Authors:  Masaru Tanioka; Tsugumi Ebihana; Manae Uraguchi; Haruka Shoji; Yuka Nakamura; Rina Ueda; Shota Ogura; Yoshifumi Wakiya; Tohru Obata; Takahiro Ida; Jun Horigome; Shinichiro Kamino
Journal:  RSC Adv       Date:  2022-07-19       Impact factor: 4.036

3.  Fluorescence-based characterisation of selected edible insect species: Excitation emission matrix (EEM) and parallel factor (PARAFAC) analysis.

Authors:  G Rossi; J Durek; S Ojha; O K Schlüter
Journal:  Curr Res Food Sci       Date:  2021-11-24

4.  Effects of land use/cover on surface water pollution based on remote sensing and 3D-EEM fluorescence data in the Jinghe Oasis.

Authors:  Xiaoping Wang; Fei Zhang
Journal:  Sci Rep       Date:  2018-08-30       Impact factor: 4.379

  4 in total

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