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Monofloral honey authentication by voltammetric electronic tongue: A comparison with 1H NMR spectroscopy

•An electronic tongue (VET) validated with 1H NMR to identify honey adulteration.•Comparable prediction models from VET and 1H NMR spectroscopy were obtained.•Good performance of both techniques with an average error lower than 5% achieved.•VET is a good screening option for monitoring the syrup adu...

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Bibliographic Details
Published in:Food chemistry 2022-07, Vol.383, p.132460-132460, Article 132460
Main Authors: Lozano-Torres, Beatriz, Carmen Martínez-Bisbal, M., Soto, Juan, Juan Borrás, Marisol, Martínez-Máñez, Ramón, Escriche, Isabel
Format: Article
Language:English
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Summary:•An electronic tongue (VET) validated with 1H NMR to identify honey adulteration.•Comparable prediction models from VET and 1H NMR spectroscopy were obtained.•Good performance of both techniques with an average error lower than 5% achieved.•VET is a good screening option for monitoring the syrup adulteration of honey. Proton-nuclear-magnetic-resonance-spectroscopy (1H NMR) is the widely accepted reference method for monitoring honey adulteration; however, the need to find cheaper, faster, and more environmentally friendly methodologies makes the voltammetric-electronic-tongue (VET) a good alternative. The present study aims to demonstrate the ability of VET (in comparison with 1H NMR) to predict the adulteration of honey with syrups. Samples of monofloral honeys (citrus, sunflower and heather, assessed by pollen analysis) simulating different levels of adulteration by adding syrups (barley, rice and corn) from 2.5 to 40% (w/w) were analyzed using both techniques. According to the indicators (slope, intercept, regression coefficient-R2, root mean square error of prediction-RMSEP) of the partial-least-squares (PLS) regression models, in general terms, the performance of these models obtained by both techniques was good, with an average error lower than 5% in both cases. These results support the use of VET as a screening technique to easily detect honey adulteration with syrups.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2022.132460