Determination of 5-hydroxymethylfurfural in honey, using headspace-solid-phase microextraction coupled with a polyoxometalate-coated piezoelectric quartz crystal
authors Verissimo, MIS; Gamelas, JAF; Evtuguin, DV; Gomes, MTSR
nationality National
journal FOOD CHEMISTRY
author keywords 5-Hydroxymethylfurfural; Honey; Acoustic wave sensor; SPME
keywords CHROMATOGRAPHY-MASS SPECTROMETRY; ACOUSTIC-WAVE SENSORS; GAS-CHROMATOGRAPHY; FOOD-PRODUCTS; REACTIVITY; OXIDATION; DIOXIDE; QUALITY; SAMPLES; 5-HMF
abstract High concentrations of 5-hydroxymethylfurfural (HMF) in honey provide an indication of overheating under inappropriate storage conditions or aging. Conventional methods for determining HMF are cumbersome and require expensive equipment or hazardous reagents. Hence the aim of this study was to propose a new analytical tool for HMF determination in honey, using a low cost acoustic wave sensor. Volatile organic compounds (VOCs) of honey samples were extracted, using the solid phase microextraction (SPME) technique, and HMF was quantified, using a piezoelectric quartz crystal with gold electrodes coated with a layer of decamolybdodivanado phosphoric acid, sensitive to HMF. The reliability of the proposed method was confirmed after comparing the results of HMF quantification with those obtained by the conventional spectrophotometric White method, and no statistical differences were found (alpha = 0.05). (C) 2016 Elsevier Ltd. All rights reserved.
publisher ELSEVIER SCI LTD
issn 0308-8146
year published 2017
volume 220
beginning page 420
ending page 426
digital object identifier (doi) 10.1016/j.foodchem.2016.09.204
web of science category Chemistry, Applied; Food Science & Technology; Nutrition & Dietetics
subject category Chemistry; Food Science & Technology; Nutrition & Dietetics
unique article identifier WOS:000388112500054
link http://dx.doi.org/10.1016/j.foodchem.2016.09.204
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  impact metrics
times cited (wos core): 1
journal impact factor (jcr 2016): 4.529
5 year journal impact factor (jcr 2016): 4.498
category normalized journal impact factor percentile (jcr 2016): 91.660
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