Journal of Nutrition,Fasting and Health

Journal of Nutrition,Fasting and Health

Sensory Characterization of Iranian Honey Samples Using the IHC Sensory Wheel

Document Type : Research Paper

Authors
1 Department of Food Hygiene and Aquaculture, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran.
2 Medical Toxicology Research Center, Mashhad University Medical Sciences, Mashhad, Iran.
10.22038/jnfh.2026.93972.1617
Abstract
Honey is a complex natural product whose sensory characteristics are strongly influenced by botanical origin. In this study, the sensory profiles of 28 Iranian honey samples (25 monofloral and 3 multifloral) collected from different geographical regions of Iran were evaluated using the standardized International Honey Commission (IHC) sensory protocol and Honey Sensory Wheel. A trained panel of 20 assessors performed descriptive sensory analysis of aroma, flavor, taste, mouthfeel, and aftertaste using a 10-point intensity scale. Descriptive statistics were complemented by principal component analysis (PCA) and permutational multivariate analysis of variance (PERMANOVA). Prior to PCA, sampling adequacy was confirmed by a Kaiser–Meyer–Olkin (KMO) value of 0.579 and a significant Bartlett’s test of sphericity (χ² = 169.51, df = 66, p < 0.001). The first two principal components explained 42.45% of the total variance (PC1 = 25.91%; PC2 = 16.54%). PC1 was primarily associated with taste-related attributes, including bitterness, warmth, saltiness, and vegetal notes, whereas PC2 was positively associated with aroma-related descriptors such as olfactory intensity, floral notes, and aromatic perception. Radar plots and heat map visualization further highlighted both inter- and intra-botanical variability among honey samples. PERMANOVA confirmed a significant effect of botanical origin on the overall sensory profile of honeys (p = 0.001). These findings demonstrate that sensory profiling contributes to the differentiation of Iranian honeys according to botanical origin and may serve as a complementary tool alongside physicochemical and melissopalynological approaches for honey characterization and authenticity assessment.
Keywords
Subjects

1. Escuredo O, Fernández-González M, María CS. Differentiation of Blossom Honey and Honeydew Honey from Northwest Spain. Agriculture. 2012:25-37.
2. Castro-Vázquez L, Díaz-Maroto M, González-Viñas M, De La Fuente E, Pérez-Coello M. Influence of storage conditions on chemical composition and sensory properties of citrus honey. Journal of Agricultural and Food Chemistry. 2008;56(6):1999-2006.
3. Marcazzan GL, Mucignat-Caretta C, Marchese CM, Piana ML. A review of methods for honey sensory analysis. Journal of Apicultural Research. 2017;57(1):75-87.
4. Oddo L, Piro R, Flamini C, Lheritier J, Russmann H, Ohe W, et al. Main European Unifloral honeys: descriptive sheets. http://dxdoiorg/101051/apido:2004049. 2004;35.
5. Tian H, Shen Y, Yu H, Chen C. Aroma features of honey measured by sensory evaluation, gas chromatography-mass spectrometry, and electronic nose. International Journal of Food Properties. 2018;21:1755-68.
6. Missio da Silva P, Gauche C, Gonzaga L, Gonzaga A, Costa R, Fett R. Honey: Chemical composition, stability and authenticity. Food Chemistry. 2016;196:309.
7. Machado De-Melo AA, Almeida-Muradian LBd, Sancho MT, Pascual-Maté A. Composition and properties of Apis mellifera honey: A review. Journal of Apicultural Research. 2018;57(1):5-37.
8. Santos Buelga C, Gonzalez-paramas AM. Chemical Composition of Honey. 2017. p. 43-82.
9. Khansaritoreh E, Salmaki Y, Azirani TA, Henareh F, Alizadeh K, Ramezani E, et al. The sources and quality of Iranian honey. Heliyon. 2021;7(4).
10. Rusko J, Vainovska P, Vilne B, Bartkevics V. Phenolic profiles of raw mono-and polyfloral honeys from Latvia. Journal of Food Composition and Analysis. 2021;98:103813.
11. Zaheen, Yatoo , Ali S, Ali MN, Majid S, Rasool S, et al. Honey: Types, composition and antimicrobial mechanisms. InTherapeutic Applications of Honey and its Phytochemicals. 2020;1:193-214.
12. Shafiee S, Minaei S, Moghaddam-Charkari N, Barzegar M. Honey characterization using computer vision system and artificial neural networks. Food Chemistry. 2014;159:1450-3.
13. Finola MS, Lasagno MC, Marioli JM. Microbiological and chemical characterization of honeys from central Argentina. Food Chemistry. 2007;100(4):1649-53.
14. Blasa M, Candiracci M, Accorsi A, Piacentini MP, Albertini MC, Piatti E. Raw Millefiori honey is packed full of antioxidants. Food Chemistry. 2006;97(2):217-22.
15. Żak N, Wilczyńska A. Sensory Analysis and Statistical Tools for Finding the Relationship of Sensory Features with the Botanical Origin of Honeys. Applied Sciences. 2025;15(17):942-7.
16. Piana ML, Oddo LP, Bentabol A, Bruneau E, Bogdanov S, Declerck CG. Sensory analysis applied to honey: state of the art. Apidologie. 2004;35(Suppl. 1):S26-37.
17. Richard A, Lukiko S, Lesio N, Mumbi C, Mwakalukwa E, Mduda C. Influence of vegetation types on physicochemical properties and sensory characteristics of Tanzanian honey. 2025.
 
 

Articles in Press, Accepted Manuscript
Available Online from 28 September 2026

  • Receive Date 31 December 2025
  • Revise Date 02 August 2026
  • Accept Date 13 September 2026