Honey is produced by honeybees from nectar, sap of plant parts, or the juicy material secreted by sucking insects living on trees. It is rich in nutritionally useful components, the occurrence of which highly depends on the botanical and geographical origin of honey. Our goal is to develop a new, rapid, and accurate combination of analytical methods for identification of botanical and geographical origin.
Physicochemical parameters (pH, electrical conductivity, moisture, and ash content), colour (L*a*b*), and antioxidant properties were determined in addition to correlative techniques, such as electronic tongue and near infrared spectroscopy. For the statistical evaluation ANOVA, principal component analysis, and linear discriminant analysis were applied.
Results showed significant differences (P<0.05) in physicochemical properties, colour, and antioxidant capacity according to the botanical origin of honeys. Electronic tongue (ET) and near infrared spectroscopy (NIR) techniques were useful in the identification of the botanical and geographical origin, showing generally good accuracy.
The physicochemical parameters are important and can serve as reference methods, completing NIR and ET as target techniques, which are promising, but need further improvement for the determination of honey origin.
Anklam, E. (1998): A review of the analytical methods to determine the geographical and botanical origin of honey. Food Chem., 63, 549–562.
Apak, R., Güçlü, K., Özyürek, M. & Çelik, S.E. (2008): Mechanism of antioxidant capacity assays and the CUPRAC (cupric ion reducing antioxidant capacity) assay. Microchim. Acta, 160, 413–419.
Aries, E., Burton, J., Carrasco, L., De Rudder, O. & Maquet, A. (2016): Scientific support to the implementation of a Coordinated Control Plan with a view to establishing the prevalence of fraudulent practices in the marketing of honey. JRC Technical Reports. JRC104749, 38 pages.
Bázar, G., Romvári, R., Szabó, A., Somogyi, T., Éles, V. & Tsenkova, R. (2016): NIR detection of honey adulteration reveals differences in water spectral pattern. Food Chem., 194, 873–880.
Benzie, I.F.F. & Strain, J.J. (1996): The ferric reducing ability of plasma (FRAP) as a measure of “antioxidant power”: The FRAP assay. Anal. Biochem., 239(1), 70–76.
Bertoncelj, J., Doberšek, U., Jamnik, M. & Golob, T. (2007): Evaluation of the phenolic content, antioxidant activity and colour of Slovenian honey. Food Chem., 105, 822–828.
Bogdanov, S. (1993): Liquefaction of honey. Apiacta, 28(1), 4–10.
Bogdanov, S. (2009): Harmonised methods of the International Honey Commission. International Honey Commission (IHC), (5), 63 pages.
Chen, L., Wang, J., Ye, Z., Zhao, J., Xue, X., … & Sun, Q. (2012): Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem., 135, 338–342.
European Council (2001): Council Directive 2001/110/EC of 20 December 2001 relating to honey. Official Journal, L 010, 12/01/2002, pp. 0047–0052.
Di Rosa, A.R., Leone, F., Scattareggia, C. & Chiofalo, V. (2018): Botanical origin identification of Sicilian honeys based on artificial senses and multi-sensor data fusion. Eur. Food Res. Technol., 244(1), 117–125.
Gan, Z., Yang, Y., Li, J., Wen, X., Zhu, M., … & Ni, Y. (2016): Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey. J. Food Eng., 178, 151–158.
Gül, A. & Pehlivan, T. (2018): Antioxidant activities of some monofloral honey types produced across Turkey. Saudi J. Biol. Sci., 25, 1056–1065.
Hungarian Food Book (2009): Directive 2–100. Honey with disctinctive quality indication.
Oddo, L.P. & Piro, R. (2004): Main European unifloral honeys: Descriptive sheets. Apidologie, 35, S38–S81.
Prior, R.L., Wu, X. & Schaich, K. (2005): Standardized methods for the determination of antioxidant capacity and phenolics in foods and dietary supplements. J. Agr. Food Chem., 53, 4290–4302.
Singleton, V.L. & Rossi, J.A. (1965): Colorimetry of total phenolics with phosphomolybdic-phosphotungstic acid reagents. Am. J. Enol. Viticult., 16(3), 144–158.
Spiteri, M., Dubin, E., Cotton, J., Poirel, M., Corman, B., … Rutledge, D. (2016): Data fusion between high resolution1H-NMR and mass spectrometry: a synergetic approach to honey botanical origin characterization. Anal. Bioanal. Chem., 408(16), 4389–4401.
Szöllősi, D. (2015): Analysis of taste interactions with the electronic tongue. PhD. thesis. Corvinus University of Budapest, 20 pages.
Thrasyvoulou, A., Tananaki, C., Goras, G., Karazafiris, E., Dimou, M., … & Gounari, S. (2018): Legislation of honey criteria and standards. J. Apicult. Res., 57(1), 88–96.
Wei, Z. & Wang, J. (2011): Classification of monofloral honeys by voltammetric electronic tongue with chemometrics method. Electrochim. Acta, 56(13), 4907–4915.
Wei, Z., Wang, J. & Liao, W. (2009): Technique potential for classification of honey by electronic tongue. J. Food Eng., 94(3-4), 260–266.
Zábrodská, B. & Vorlová, L. (2014): Adulteration of honey and available methods for detection – A review. Acta Vet. Brno, 83(10), S85–S102.