Literature DB >> 31396828

The Parallel Factor Analysis of Beer Fluorescence.

Tatjana Dramićanin1, Ivana Zeković1, Jovana Periša1, Miroslav D Dramićanin2.   

Abstract

Fluorescence excitation-emission matrices were measured for 111 samples of different types of beer and studied by the parallel factor analysis (PARAFAC). The 5-component PARAFAC model was found to suitably describes the beer fluorescence, accounting for 99.4% of the fluorescence variance in the measured set of samples, and providing the completely resolved excitation and emission spectra of each component. The model was chosen based on a model's core consistency and split-half analysis. It is shown that beer fluorescence is the sum of fluorescence of aromatic amino acids (tryptophan, tyrosine, and phenylalanine), different forms of vitamin B, and phenolic compounds. Obtained PARAFAC model of beer fluorescence demonstrated the potential for the quantification and quality analysis of beer fluorophores and classification of different beer types.

Entities:  

Keywords:  Beer; Excitation-emission matrices; Fluorescence; PARAFAC; PLS-DA

Mesh:

Substances:

Year:  2019        PMID: 31396828     DOI: 10.1007/s10895-019-02421-0

Source DB:  PubMed          Journal:  J Fluoresc        ISSN: 1053-0509            Impact factor:   2.217


  19 in total

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2.  Optimisation of gradient HPLC analysis of phenolic compounds and flavonoids in beer using a coularray detector.

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Journal:  J Sep Sci       Date:  2004-11       Impact factor: 3.645

3.  Multivariate autofluorescence of intact food systems.

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Journal:  Chem Rev       Date:  2006-06       Impact factor: 60.622

4.  Combination of mid- and near-infrared spectroscopy for the determination of the quality properties of beers.

Authors:  Fernando A Iñón; Salvador Garrigues; Miguel de la Guardia
Journal:  Anal Chim Acta       Date:  2006-05-05       Impact factor: 6.558

5.  Spectrophotometric estimation of total carotenoids in cereal grain products.

Authors:  Svjetlana Luterotti; Kristina Kljak
Journal:  Acta Chim Slov       Date:  2010-12       Impact factor: 1.735

6.  Fluorescence spectroscopy coupled with PARAFAC and PLS DA for characterization and classification of honey.

Authors:  Lea Lenhardt; Rasmus Bro; Ivana Zeković; Tatjana Dramićanin; Miroslav D Dramićanin
Journal:  Food Chem       Date:  2014-12-04       Impact factor: 7.514

7.  Determination of the botanical origin of honey by front-face synchronous fluorescence spectroscopy.

Authors:  Lea Lenhardt; Ivana Zeković; Tatjana Dramićanin; Miroslav D Dramićanin; Rasmus Bro
Journal:  Appl Spectrosc       Date:  2014       Impact factor: 2.388

8.  Characterization of Indian beers: chemical composition and antioxidant potential.

Authors:  Tapasya V Pai; Siddhi Y Sawant; Arindam A Ghatak; Palak A Chaturvedi; Arpita M Gupte; Neetin S Desai
Journal:  J Food Sci Technol       Date:  2013-08-31       Impact factor: 2.701

9.  A comprehensive characterisation of beer polyphenols by high resolution mass spectrometry (LC-ESI-LTQ-Orbitrap-MS).

Authors:  Paola Quifer-Rada; Anna Vallverdú-Queralt; Miriam Martínez-Huélamo; Gemma Chiva-Blanch; Olga Jáuregui; Ramon Estruch; Rosa Lamuela-Raventós
Journal:  Food Chem       Date:  2014-08-10       Impact factor: 7.514

10.  Isohumulones, the bitter component of beer, improve hyperglycemia and decrease body fat in Japanese subjects with prediabetes.

Authors:  Kuniaki Obara; Mai Mizutani; Yoshitaka Hitomi; Hiroaki Yajima; Keiji Kondo
Journal:  Clin Nutr       Date:  2009-04-23       Impact factor: 7.324

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  1 in total

1.  Do Spectra Live in the Matrix? A Brief Tutorial on Applications of Factor Analysis to Resolving Spectral Datasets of Mixtures.

Authors:  Andrzej J Kałka; Andrzej M Turek
Journal:  J Fluoresc       Date:  2021-08-06       Impact factor: 2.217

  1 in total

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