Literature DB >> 26616941

Fluorescence sensor array for identification of commercial milk samples according to their thermal treatments.

Radeemada Mungkarndee1, Ittipon Techakriengkrai2, Gamolwan Tumcharern3, Mongkol Sukwattanasinitt4.   

Abstract

Identification of processed milk is of importance for commercial and legal concerns. The fluorescence response patterns induced by fluorophore/protein interactions allow a possible discrimination of processed milk samples corresponding to their thermal treatment. The fluorescence responses of 4 fluorophores upon addition of commercial milk samples in 96-well plate are measured in the range of 400-600 nm using the excitation wavelength at 375 nm. The pattern recognition of the 53,126 fluorescence responses (4 fluorophores×41 wavelengths×4 thermally processed milks×3 brands×3 lots×3 bottles×3 repeats) are analyzed by multivariate statistical methods. Linear discriminant analysis (LDA) successfully recognizes the milk samples according to their thermal processing, i.e. pasteurized milk, sterilized milk, UHT fresh milk and recombined milk (UHT milk having milk powder), with 100% classification accuracy in a cross validation using a leave-one-out technique.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Fluorescence sensor; Linear discriminant analysis (LDA); Milk protein; Multivariate statistical analysis; Principal component analysis (PCA); Protein analysis

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Year:  2015        PMID: 26616941     DOI: 10.1016/j.foodchem.2015.10.083

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


  3 in total

Review 1.  New Trends for the Evaluation of Heat Treatments of Milk.

Authors:  Mena Ritota; Maria Gabriella Di Costanzo; Maria Mattera; Pamela Manzi
Journal:  J Anal Methods Chem       Date:  2017-11-02       Impact factor: 2.193

Review 2.  Spectroscopic Techniques for Monitoring Thermal Treatments in Fish and Other Seafood: A Review of Recent Developments and Applications.

Authors:  Abdo Hassoun; Karsten Heia; Stein-Kato Lindberg; Heidi Nilsen
Journal:  Foods       Date:  2020-06-10

3.  A Fluorescent Sensor Array Based on Heteroatomic Macrocyclic Fluorophores for the Detection of Polluting Species in Natural Water Samples.

Authors:  Larisa Lvova; Fabrizio Caroleo; Alessandra Garau; Vito Lippolis; Luca Giorgi; Vieri Fusi; Nelsi Zaccheroni; Marco Lombardo; Luca Prodi; Corrado Di Natale; Roberto Paolesse
Journal:  Front Chem       Date:  2018-06-28       Impact factor: 5.221

  3 in total

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