Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Exploring the Influence of Soil Types on the Mineral Profile of Honey: Implications for Geographical Origin Prediction

Simona Schmidlová, Zdeňka Javůrková, Bohuslava Tremlová, Józef Hernik, Barbara Prus, Slavomí­r Marcinčák, Dana Marcinčáková, Pavel Štarha, Helena Čížková, Vojtěch Kružík, Zsanett Bodor, Csilla Benedek, Dalibor Titěra, Jana Boržíková, Matěj Pospiech

Foods · 2024

Read source ↗ All evidence

Summary

This study examined whether soil type influences the mineral composition of honey, analysing 32 samples from Czech beekeepers and correlating their elemental profiles with local soil classifications. Strong positive and negative correlations were found between specific minerals and soil types—notably anthroposol with zinc (R=0.98) and lead (R=0.96), and regosol with aluminium (R=0.97)—suggesting that honey's mineral signature may reflect underlying soil conditions. The authors propose that characteristic mineral elements (B, Ca, Mg, Ni, Mn) could serve as indicators of soil type presence near beehive locations, with potential applications for geographical origin prediction.

UK applicability

Findings may be applicable to UK beekeeping contexts, as the UK has diverse soil types (similar classifications exist under the FAO soil classification system), and local soil chemistry likely influences honey mineral content. However, direct transfer of Czech-derived soil–mineral correlations to UK conditions would require validation, given differences in climate, flora composition, and specific soil properties between regions.

Key measures

Pearson correlation coefficients (R values) between mineral elements (B, Ca, Mg, Ni, Mn, Zn, Pb, Al, Cr) and soil types; Classification and Regression Tree (CART) analysis identifying characteristic elements for soil types

Outcomes reported

The study analysed the mineral profile of 32 honey samples from Czech hobby beekeepers and correlated mineral composition with soil types in the vicinity of beehive locations. Pearson correlation and CART statistical methods identified soil type–mineral element relationships and characteristic elements for individual soil classifications.

Theme
Farming systems, soils & land use
Subject
Food composition & nutrient databases
Study type
Research
Study design
Observational field study
Source type
Peer-reviewed study
Status
Published
Geography
Czech Republic
System type
Other
DOI
10.3390/foods13132006
Catalogue ID
SNmov5ikys-d73481

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.