Analysis of Various Honeys from Different Sources Using Electronic Nose

Hong, Eun-Jeung; Park, Sue-Jee; Lee, Hwa-Jung; Lee, Kwang‐Geun; Noh, Bong-Soo

doi:10.5851/kosfa.2011.31.2.273

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…Ampuero, Bogdanov and Bosset (2004) found a positive correlation between e-nose and pollen analysis of honey. Discriminant function analysis (DFA) was also conducted using an e-nose based on a mass spectrometer when the DFA diagram indicated a significant separation of honey odours from other odour sources (Hong et al, 2011). Thus, the e-nose method can be used to identify honey but needs further refinement.…”

Section: Gok Et Al (2015)mentioning

confidence: 99%

Methods for determining the botanical origin of honey

Adamchuk

Сухенко

Akulonok

et al. 2020

Potr. S. J. F. Sci.

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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.

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Section: Gok Et Al (2015)mentioning

confidence: 99%

Methods for determining the botanical origin of honey

Adamchuk

Сухенко

Akulonok

et al. 2020

Potr. S. J. F. Sci.

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“…Electronic nose (e-nose) has the potential to conveniently and quickly analyze multiple samples. As a nondestructive analysis method, it has been widely used in various fields such as quality control (8,9), discrimination of fake food (10,11), and origin of food (12,13).…”

Section: Introductionmentioning

confidence: 99%

Analysis of ethanol in soy sauce using electronic nose for halal food certification

Park

Lee

Sim

et al. 2017

Food Sci Biotechnol

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The purpose of this study was to analyze ethanol content in soy sauce using mass spectrometry (MS) with electronic nose (e-nose) to determine if MS e-nose can replace gas chromatographic analysis for halal certification. Gas chromatography-flame ionization detector (GC-FID), the standard method of ethanol content, was used to analyze 24 different kinds of soy sauce. Ethanol was detected from 13 soy sauce samples in the concentration range of 0.0004-1.7wt%. The MS e-nose data were analyzed by discriminant function analysis (DFA). Based on an addition method, the results were more than 96.6% accurate when the ethanol concentrations were greater than 0.5%. A high correlation between the first score of the DFA plot and the ethanol concentration was observed. Thus, mass spectrometry based on e-nose is an efficient method for determining ethanol as a primary screening tool for halal certification.

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