Brazilian honey: Metabolomic analysis and characterization by 1D- and 2D-nuclear magnetic resonance (NMR) spectroscopy and chemometrics

Honey is a complex matrix that contains a wide range of compounds. This rich composition is influenced by diverse environmental factors, including geographic and botanical origin. Honey has been among the most commonly tampered foods worldwide, with improvements in techniques to do it. Accordingly, there is a recurring need for new techniques and methods to assess the honey's metabolic profiles to distinguish adulterated from non-tampered samples. In this sense, this study aimed to determine the chemical profiles of honey samples from the eleven agroecological zones of the Santa Catarina State (southern Brazil), collected in the 2019-2020 and 2020-2021 harvest seasons through 1D- and 2D-NMR. As a result, a series of metabolites was identified and their concentrations measured in samples. Further, the metabolomic dataset was used for building descriptive models through chemometric techniques, in order to discriminate honey samples according to their geographic and botanical origins and harvest season effect. Twenty-one metabolites were identified, with predominance of glucose and fructose in all samples. Two other carbohydrates (sucrose and maltose) were identified in lower concentrations, in addition to amino acids, organic acids, ketone, alcohol, ester, and alkaloids. No discrepant <sup>1</sup>H NMR resonances that could indicate fraud were detected in the spectra. By PCA, it was possible to find clusters with similar geographic origins, i.e., agroecological zones, and botanical origins. In this regard, patterns of composition were detected for honey samples of Eucalyptus spp. and Hovenia dulcis species, which presented acetoin and kynurenate, respectively, in higher concentrations. Taking together, the results allowed demonstrating that NMR spectroscopy coupled to chemometrics is an effective experimental approach to characterize Brazilian honey regarding their geographic origin and season of collection, despite the huge floral diversity available in that country for bee forage.

Authors

Institutions

Publication Details

Journal
Food Research International
Published
2025-03-01
DOI
https://doi.org/10.1016/j.foodres.2025.116104
Citations
1
Primary Topic
Bee Products Chemical Analysis
Type
article
Field-Weighted Citation Impact
1.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Brazilian honey: Metabolomic analysis and characterization by 1D- and 2D-nuclear magnetic resonance (NMR) spectroscopy and chemometrics

Beatriz Rocha dos Santos, Gadiel Zilto Azevedo, Maurício L. Sforça, Marcelo Maraschin et al.
1 citations
Food Research International
Bee Products Chemical Analysis
1.67
article

Brazilian honey: Metabolomic analysis and characterization by 1D- and 2D-nuclear magnetic resonance (NMR) spectroscopy and chemometrics

Beatriz Rocha dos Santos, Gadiel Zilto Azevedo, Maurício L. Sforça, Marcelo Maraschin, Caroline Schmitz, Silvana A. Rocco, Aline Nunes, Sidnei Moura
article en
1 citations

Abstract

Honey is a complex matrix that contains a wide range of compounds. This rich composition is influenced by diverse environmental factors, including geographic and botanical origin. Honey has been among the most commonly tampered foods worldwide, with improvements in techniques to do it. Accordingly, there is a recurring need for new techniques and methods to assess the honey's metabolic profiles to distinguish adulterated from non-tampered samples. In this sense, this study aimed to determine the chemical profiles of honey samples from the eleven agroecological zones of the Santa Catarina State (southern Brazil), collected in the 2019-2020 and 2020-2021 harvest seasons through 1D- and 2D-NMR. As a result, a series of metabolites was identified and their concentrations measured in samples. Further, the metabolomic dataset was used for building descriptive models through chemometric techniques, in order to discriminate honey samples according to their geographic and botanical origins and harvest season effect. Twenty-one metabolites were identified, with predominance of glucose and fructose in all samples. Two other carbohydrates (sucrose and maltose) were identified in lower concentrations, in addition to amino acids, organic acids, ketone, alcohol, ester, and alkaloids. No discrepant <sup>1</sup>H NMR resonances that could indicate fraud were detected in the spectra. By PCA, it was possible to find clusters with similar geographic origins, i.e., agroecological zones, and botanical origins. In this regard, patterns of composition were detected for honey samples of Eucalyptus spp. and Hovenia dulcis species, which presented acetoin and kynurenate, respectively, in higher concentrations. Taking together, the results allowed demonstrating that NMR spectroscopy coupled to chemometrics is an effective experimental approach to characterize Brazilian honey regarding their geographic origin and season of collection, despite the huge floral diversity available in that country for bee forage.

Food Research InternationalVol. 207
Universidade de Caxias do Sul (BR), Universidade Federal de Santa Catarina (BR), Brazilian Center for Research in Energy and Materials (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Zero hunger
Openalex Percentile: Top 21%
Bee Products Chemical Analysis
1.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.