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1H-NMR Profiling and Chemometric Analysis of Selected Honeys from South Africa, Zambia, and Slovakia

Molecules (Basel, Switzerland), 2018-03, Vol.23 (3), p.578 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 by the authors. 2018 ;ISSN: 1420-3049 ;EISSN: 1420-3049 ;DOI: 10.3390/molecules23030578 ;PMID: 29510542

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Title:
1H-NMR Profiling and Chemometric Analysis of Selected Honeys from South Africa, Zambia, and Slovakia
Author: Olawode, Emmanuel ; Tandlich, Roman ; Cambray, Garth
Subjects: 1H-NMR fingerprint ; Chemical equilibrium ; Chemometrics ; Data processing ; Discriminant analysis ; Electrical conductivity ; Electrical resistivity ; Geographical distribution ; grouping ; Honey ; Honeydew ; Metabolites ; Moisture content ; Nectar ; NMR ; Nuclear magnetic resonance ; Organic chemistry ; partial least squares-discriminant analysis (PLS-DA) ; Pretreatment ; principal component analysis (PCA) ; Principal components analysis ; profiling ; Quality control ; Sugar ; Sweet taste ; Water content
Is Part Of: Molecules (Basel, Switzerland), 2018-03, Vol.23 (3), p.578
Description: Honey is the natural sweet substance produced by honeybee from nectar or honeydew, exhibiting several nutritional and health benefits. It contains a complex mixture of compounds in different proportions, with sugars being the main component. The physicochemical characteristics of ten honeys were evaluated; represented by five, three, and two from South Africa, Slovakia, and Zambia, respectively. The range of values for the pH (3.75–4.38), electrical conductivity (99–659 µS/cm), and moisture content (14.2–17.7%) are within the recommended limits for quality honeys. 1H-NMR (Nuclear Magnetic Resonance) profiling of the honeys in D2O was determined, and the data were analysed by chemometrics. This method is fast, reproducible, and sample pre-treatment is not necessary. The 1H-NMR fingerprints of various chemical shift regions showed similarity or dissimilarity across geographical origins that are useful for identification, detection of adulteration, and quality control. The principal component analysis PCA and partial linear square discriminant analysis PLS-DA of the 1H-NMR profiles successively categorises the honeys into two chemically related groups. The R2 values are higher than the corresponding Q2 values for all samples, confirming the reliability of the model. Honeys in the same cluster contain similar metabolites and belong to the same botanic or floral origin.
Publisher: Basel: MDPI AG
Language: English
Identifier: ISSN: 1420-3049
EISSN: 1420-3049
DOI: 10.3390/molecules23030578
PMID: 29510542
Source: Geneva Foundation Free Medical Journals at publisher websites
AUTh Library subscriptions: ProQuest Central
PubMed Central
Directory of Open Access Journals
Alma/SFX Local Collection

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1H-NMR Profiling and Chemometric Analysis of Selected Honeys from South Africa, Zambia, and Slovakia

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