Premium
Using an automatic pulse voltammetric electronic tongue to verify the origin of honey from Spain, Honduras, and Mozambique
Author(s) -
SobrinoGregorio Lara,
TanlequeAlberto Fernando,
Bataller Román,
Soto Juan,
Escriche Isabel
Publication year - 2019
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.10022
Subject(s) - electronic tongue , principal component analysis , partial least squares regression , statistical analysis , computer science , pattern recognition (psychology) , pulse (music) , statistics , materials science , analytical chemistry (journal) , biological system , environmental science , mathematics , artificial intelligence , chemistry , food science , biology , telecommunications , environmental chemistry , detector , taste
BACKGROUND The growing need to classify the origin of honey in a simple way is leading to the development of affordable analytical equipment that is in‐line and manageable, enabling rapid on‐site screening. The aim of this work was therefore to evaluate whether an electronic tongue (made of four metallic electrodes: Ir, Rh, Pt, Au), based on potential multistep pulse voltammetry with electrochemical polishing, is able to differentiate between honey samples from Spain, Honduras, and Mozambique. RESULTS It was demonstrated, for the first time, that automatic pulse voltammetry, in combination with principal component analysis (PCA) statistical analysis, was able to differentiate honey samples from these three countries. A partial least squares (PLS) analysis predicted the level of certain physicochemical parameters, the best results being for conductivity and moisture with correlation coefficients of 0.948 and 0.879, whereas the weakest correlation was for the sugars. CONCLUSION The tool proposed in this study could be applied to identify the country origin of the three types of multifloral honey considered here. It also offers promising perspectives for expanding knowledge of the provenance of honey. All of this could be achieved when a comprehensive database with the information generated by this electronic tongue has been created. © 2019 Society of Chemical Industry