Application of near infrared spectroscopy and classical analytical methods for the evaluation of Hungarian honey

• DOI: 10.1556/446.14.2018.s1.2
• Publication Date: 2018-07-05T06:51:10Z
• Authors: Zsanett Bodor; Fanni Adrienn Koncz; Mahmoud Said Rashed; Timea Kaszab; Zoltan Gillay; Csilla Benedek; Zoltan Kovacs
• Keywords: Univariate

People have recently started to pay more attention the healthier lifestyle, which also includes consumption of natural and less processed food products. Honey as one most often used sweeteners has been reconsidered commonly used. However, honey target adulteration due its emerging use relatively high price. Therefore, there is an increasing need develop rapid evaluation methods for identification from different sources. Experiments performed with 79 authentic samples floral geographical origins, mainly Hungary. The standard analytical parameters characterize nutritional values such antioxidant capacity, polyphenol content, ash pH, conductivity determined. were analyzed a benchtop near infrared (NIR) spectrometer record their NIR spectra. data acquired spectroscopy measurements evaluated various univariate multivariate statistical methods. Results gained limited sample set show that might be useful origin samples. Further experiments are proposed build robust database, could support quick alternative authentication.