A Laser‐Based Method for the Detection of Honey Adulteration

TitleA Laser‐Based Method for the Detection of Honey Adulteration
Publication TypeJournal Article
Year of Publication2021
AuthorsStefas, D, Gyftokostas, N, Kourelias, P, Nanou, E, Kokkinos, V, Bouras, C, Couris, S
JournalApplied Sciences, MPDI, Special Issue Chemical Composition, Properties and Applications of Honey
Abstract

In the present work, laser‐induced breakdown spectroscopy, aided by some machine learning algorithms (i.e., linear discriminant analysis (LDA) and extremely randomized trees (ERT)), is used for the detection of honey adulteration with glucose syrup. In addition, it is shown that instead of the entire LIBS spectrum, the spectral lines of inorganic ingredients of honey (i.e., calcium, sodium, and potassium) can be also used for the detection of adulteration providing efficient discrimination. The constructed predictive models attained high classification accuracies exceeding 90% correct classification.

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