2017
DOI: 10.17676/hae.2017.32.22
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Classification models of hungarian honey samples based on analytical and physical characteristics

Abstract: As one of the most often used natural sweeteners, honey has recently been reconsidered and more commonly used. Although Hungary is one of the main honey exporter countries, data referring to Hungarian honeys is very limited. Our aim was to investigate the analytical, physical and rheological properties of different honey samples and use these attributes to identify their geographical and botanical origin. Our results show the application of colorimetry, analytical and rheological measurements might be a promis… Show more

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Cited by 6 publications
(5 citation statements)
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“…The system used in this manuscript (Tellspec, Canada) relies on a three-part system that includes a pocket-sized NIR sensor, a cloud-based patented analysis engine, and a mobile app (10), previously used under different food approaches from macronutrients to allergens and contaminants, giving information on possible fraud, adulteration, and quality of foodstuffs, or even in the quality control of pharmaceutical drugs (11), meat (12), and honey (13). However, there are no available studies regarding its use in citrus fruits.…”
mentioning
confidence: 99%
“…The system used in this manuscript (Tellspec, Canada) relies on a three-part system that includes a pocket-sized NIR sensor, a cloud-based patented analysis engine, and a mobile app (10), previously used under different food approaches from macronutrients to allergens and contaminants, giving information on possible fraud, adulteration, and quality of foodstuffs, or even in the quality control of pharmaceutical drugs (11), meat (12), and honey (13). However, there are no available studies regarding its use in citrus fruits.…”
mentioning
confidence: 99%
“…Tellspec scanner (950-1630 nm) was used to generate NIR spectra for Hungarian honey. They classified different honey samples and found 92.61% prediction ability based on the NIR spectra model (Kaszab et al, 2017). Tellspec (900-1700 nm) and SCiO (740-1070 nm) were used to predict sugarcane properties (total sugar content) based on spectrum and compared their result with standard Lab-Spec (350-2500 nm) (Figure 3c).…”
Section: Tellspec Scannermentioning
confidence: 99%
“…Honey is the other product of animal origin that received some attention. Using a range between 950 and 1630 nm, Kaszab et al, 2017 [ 95 ], were able to predict 100% of the floral origin of honeys, i.e., linden, acacia, polyfloral, and chestnut honey. Similarly, the geographical origin could be predicted with a success rate of 96%.…”
Section: Current Applications Of Handheld Devices For Food Authenticationmentioning
confidence: 99%