Abstract

The demand for monofloral, original, and special (functional) kinds of honey, or those with geographical indication, is forecast. At the same time, there is a need to improve the methods for determining the botanical and geographical origin of honey. The purpose of the research was to select and apply a variety of techniques for identifying the botanical origin of honey for its correspondence to acacia species. Samples of honey from the Kyiv, Odesa, and Dnipro regions extracted in the spring and summer period were used in the research. Organoleptic, physicochemical, NMR spectrometry, and advanced melissopalynology methods were applied. The tests were carried out at the laboratories of the Department of Certification and Standardization of Agricultural Products, NULES, Ukraine; the Ukrainian Laboratory of Quality and Safety of Agricultural Products; and the Bruker BioSpin GmbH company (Germany). According to the research results, the requirements for acacia honey were met by the organoleptic method for samples B1 and B2; by the physicochemical method for A0 and A2; by NMR spectroscopy for not a single sample, all being assessed as polyfloral; and by pollen analysis for B1 and B2. The conducted studies confirm the need for a comprehensive approach to the identification of the botanical origin of honey for its conformity to acacia species. There is a need to review the physicochemical indicators for the compliance of honey with the acacia species obtained in Ukraine. After all, even the modern NMR spectrometry technique indicated that the specially fabricated sample that did not contain acacia pollen grains was acacia honey. Identification of the botanical origin of monofloral honey, in particular acacia, should be carried out in the following sequence: pollen analysis (by dominant pollen grains), safety (presence of antibiotics, pesticides), physicochemical parameters according to international requirements, organoleptic parameters.

Highlights

  • According to Global Industry Analysts Inc

  • The results showed that the spectra and sensors classified the botanical origin of honey quickly and accurately, and the overall accuracy for the calibration and forecasting set was 100% for e-nose and electronic tongue (ET) analysis using the support vector model (SVM) model and near-infrared (NIR) and MIR analysis using the interval partial least squares model (iPLS) model

  • In organoleptic research on honey for compliance with acacia variety requirements, evaluations were made by colour, taste, aroma, consistency, crystallization and the presence of signs of fermentation and mechanical impurities

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Summary

Introduction

According to Global Industry Analysts Inc. USA (2016), the global honey market is projected to reach 2.4 million tonnes by 2022. Carreck (2018) believes that much of this growth is due to the demand for monofloral and special (functional) kinds of honey, or those that have a specific geographical region of origin. According to Global Industry Analysts Inc. USA (2016), the global honey market is projected to reach 2.4 million tonnes by 2022. Carreck (2018) believes that much of this growth is due to the demand for monofloral and special (functional) kinds of honey, or those that have a specific geographical region of origin. That is the relevance of our research, along with the improvement of the methods for determining the botanical and geographical origin of honey, methods of analysis and discrimination of individual varieties of product, its safety, and quality. The current regulatory and technical documentation in different countries of the world governing the safety and quality of honey is not harmonized. Different countries maintain up-to-date quality criteria that do not comply with the Codex or EU directives on honey

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