Literature DB >> 31445377

Electrochemical impedance spectroscopy characterization of beverages.

C Soares1, J A Tenreiro Machado2, António M Lopes3, E Vieira4, C Delerue-Matos5.   

Abstract

This paper compares the results of standard chemical analytical processes and electrochemical impedance spectroscopy (EIS) in the characterization of different beverages, namely ground coffee, soluble coffee, coffee substitutes, barley, cow milk, vegetable drinks, tea, plant infusions and plant mixtures. For the two approaches, the similarities between the experimental data are assessed by means of the Euclidean and Canberra distances. The resulting information is processed by means of the multidimensional scaling (MDS) clustering and visualization algorithm. The results of the chemical analytical processes and EIS reveal identical clusters for the two adopted distances. Furthermore, the robustness of the experimental and computational scheme are assessed by means of the Procrustes technique. The results confirm the effectiveness of combining the EIS and MDS.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Keywords:  Clustering; Electrochemical impedance spectroscopy; Multidimensional scaling; Visualization

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Year:  2019        PMID: 31445377     DOI: 10.1016/j.foodchem.2019.125345

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


  1 in total

1.  On-chip-based electrochemical biosensor for the sensitive and label-free detection of Cryptosporidium.

Authors:  George S Luka; Homayoun Najjaran; Mina Hoorfar
Journal:  Sci Rep       Date:  2022-04-28       Impact factor: 4.996

  1 in total

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