Literature DB >> 25159378

SPR imaging based electronic tongue via landscape images for complex mixture analysis.

Maria Genua1, Laurie-Amandine Garçon1, Violette Mounier1, Hillary Wehry1, Arnaud Buhot1, Martial Billon1, Roberto Calemczuk1, David Bonnaffé2, Yanxia Hou3, Thierry Livache1.   

Abstract

Electronic noses/tongues (eN/eT) have emerged as promising alternatives for analysis of complex mixtures in the domain of food and beverage quality control. We have recently developed an electronic tongue by combining surface plasmon resonance imaging (SPRi) with an array of non-specific and cross-reactive receptors prepared by simply mixing two small molecules in varying and controlled proportions and allowing the mixtures to self-assemble on the SPRi prism surface. The obtained eT generated novel and unique 2D continuous evolution profiles (CEPs) and 3D continuous evolution landscapes (CELs) based on which the differentiation of complex mixtures such as red wine, beer and milk were successful. The preliminary experiments performed for monitoring the deterioration of UHT milk demonstrated its potential for quality control applications. Furthermore, the eT exhibited good repeatability and stability, capable of operating after a minimum storage period of 5 months.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Complex mixtures; Continuous evolution landscape; Electronic tongue; Pattern recognition; Surface plasmon resonance imaging

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Year:  2014        PMID: 25159378     DOI: 10.1016/j.talanta.2014.06.038

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  2 in total

Review 1.  A Versatile Electronic Tongue Based on Surface Plasmon Resonance Imaging and Cross-Reactive Sensor Arrays-A Mini-Review.

Authors:  Laurie-Amandine Garçon; Maria Genua; Yanjie Hou; Arnaud Buhot; Roberto Calemczuk; Thierry Livache; Martial Billon; Christine Le Narvor; David Bonnaffé; Hugues Lortat-Jacob; Yanxia Hou
Journal:  Sensors (Basel)       Date:  2017-05-06       Impact factor: 3.576

Review 2.  Bio-Inspired Strategies for Improving the Selectivity and Sensitivity of Artificial Noses: A Review.

Authors:  Charlotte Hurot; Natale Scaramozzino; Arnaud Buhot; Yanxia Hou
Journal:  Sensors (Basel)       Date:  2020-03-24       Impact factor: 3.576

  2 in total

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