Abstract. A new methodology based on cyclic voltammetry using a chemically modified
electrode has been developed for the discrimination of the floral origin of
honey. This method involves an electronic tongue with an electrochemical
sensor made from a carbon paste (CPs) electrode where zinc oxide (ZnO)
nanoparticles are used as an electroactive binder material. The bare CPs
electrode is evaluated for comparison. The electrochemical response of the
modified electrode in 50 samples of five different floral types of honey has
been analysed by the cyclic voltammetric technique. The voltammograms of each
floral variety of honey reflect the redox properties of the ZnO nanoparticles
present inside the carbon paste matrix and are strongly influenced by the
nectar source of honey. Thus, each type of honey provides a characteristic
signal which is evaluated by using principal component analysis (PCA) and an
artificial neural network (ANN). The result of a PCA score plot of the
transient responses obtained from the modified carbon paste electrode clearly
shows discrimination among the different floral types of honey. The ANN model
for floral classification of honey shows more than 90 % accuracy. These
results indicate that the ZnO nanoparticles modified carbon paste (ZnO Nps
modified CPs) electrode can be a useful electrode for discrimination of honey
samples from different floral origins.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.