scholarly journals Determination of total polyphenol index in wines employing a voltammetric electronic tongue

2012 ◽  
Vol 732 ◽  
pp. 172-179 ◽  
Author(s):  
Xavier Cetó ◽  
Juan Manuel Gutiérrez ◽  
Manuel Gutiérrez ◽  
Francisco Céspedes ◽  
Josefina Capdevila ◽  
...  
Keyword(s):  
Electronic Tongue ◽  
Total Polyphenol ◽  
Voltammetric Electronic Tongue

Simultaneous determination of phenolic compounds by means of an automated voltammetric “electronic tongue”

2005 ◽  
Vol 382 (2) ◽  
pp. 471-476 ◽  
Author(s):  
A. Gutés ◽  
A. B. Ibáñez ◽  
F. Céspedes ◽  
Salvador Alegret ◽  
M. del Valle
Keyword(s):  
Phenolic Compounds ◽  
Simultaneous Determination ◽  
Electronic Tongue ◽  
Voltammetric Electronic Tongue

scholarly journals Voltammetric Electronic Tongue for the Simultaneous Determination of Three Benzodiazepines

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5002 ◽  
Author(s):  
Anna Herrera-Chacón ◽  
Farzad Torabi ◽  
Farnoush Faridbod ◽  
Jahan B. Ghasemi ◽  
Andreu González-Calabuig ◽  
...  
Keyword(s):  
Metallic Nanoparticles ◽  
Simultaneous Detection ◽  
Electronic Tongue ◽  
Principal Component ◽  
Quantitative Model ◽  
Discrete Wavelet ◽  
Composite Electrodes ◽  
Voltammetric Sensors ◽  
Voltammetric Electronic Tongue

The presented manuscript reports the simultaneous detection of a ternary mixture of the benzodiazepines diazepam, lorazepam, and flunitrazepam using an array of voltammetric sensors and the electronic tongue principle. The electrodes used in the array were selected from a set of differently modified graphite epoxy composite electrodes; specifically, six electrodes were used incorporating metallic nanoparticles of Cu and Pt, oxide nanoparticles of CuO and WO3, plus pristine electrodes of epoxy-graphite and metallic Pt disk. Cyclic voltammetry was the technique used to obtain the voltammetric responses. Multivariate examination using Principal Component Analysis (PCA) justified the choice of sensors in order to get the proper discrimination of the benzodiazepines. Next, a quantitative model to predict the concentrations of mixtures of the three benzodiazepines was built employing the set of voltammograms, and was first processed with the Discrete Wavelet Transform, which fed an artificial neural network response model. The developed model successfully predicted the concentration of the three compounds with a normalized root mean square error (NRMSE) of 0.034 and 0.106 for the training and test subsets, respectively, and coefficient of correlation R ≥ 0.938 in the predicted vs. expected concentrations comparison graph.

Application of direct-injection detector integrated with the multi-pumping flow system to chemiluminescence determination of the total polyphenol index

2016 ◽  
Vol 911 ◽  
pp. 82-91 ◽  
Author(s):  
Edyta Nalewajko-Sieliwoniuk ◽  
Magdalena Iwanowicz ◽  
Sławomir Kalinowski ◽  
Anatol Kojło
Keyword(s):  
Flow System ◽  
Direct Injection ◽  
Total Polyphenol

Emerging approach for analytical characterization and geographical classification of Moroccan and French honeys by means of a voltammetric electronic tongue

2018 ◽  
Vol 243 ◽  
pp. 36-42 ◽  
Author(s):  
Nadia El Alami El Hassani ◽  
Khalid Tahri ◽  
Eduard Llobet ◽  
Benachir Bouchikhi ◽  
Abdelhamid Errachid ◽  
...  
Keyword(s):  
Electronic Tongue ◽  
Analytical Characterization ◽  
Voltammetric Electronic Tongue
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