Identification of components of Brazilian honey by 1H NMR and classification of its botanical origin by chemometric methods (original) (raw)
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LWT - Food Science and Technology, 2014
This study evaluated the possibility of differentiating the botanical origin of honeys using Low Field Nuclear Magnetic Resonance (LF 1 H NMR). Eighty samples of honey from 8 different botanical sources (eucalyptus, "assa-lipto", oranges, Barbados cherry, cashew tree, "assa-peixe", "cipó-uva" and polyfloral) were analyzed. A close correlation (p < 0.01) was established between the LF 1 H NMR analysis and physical and chemical measurements, including water content, water activity, pH and color. Biexponential fitting of the transverse relaxation (T 2 ) data revealed two water populations in all samples, T 21 and T 22 , corresponding to relaxation times of 0.6e1.8 ms and 2.3e5.4 ms respectively. The observed differences in the relaxation times suggest that these were influenced by the differences in botanical origins. Good linear correlations were observed between the T 2 and T 21 parameters and the physical and chemical data. This study demonstrated that LF 1 H NMR can be a viable technique for use in classifying honeys by their botanical origin.
Revista Virtual de Química, 2016
Resumo: O mel é um dos alimentos mais estudados devido às suas propriedades nutricionais e medicinais. RMN pode ser usado na análise de alimento para discriminação da origem e identificação de biomarcadores utilizando uma abordagem metabolômica. Neste estudo, nós apresentamos um exemplo desta estratégia para tipificar amostras de mel de diferentes origens botânicas. Onde 53 extratos de méis ricos em polifenóis foram preparados utilizando resina de adsorção XAD-4 e os seus espectros de RMN de 1 H associados à análise multivariada foram utilizados para detectar possíveis biomarcadores de origem floral. A análise de componentes principais foi aplicada com sucesso na discriminação entre amostras de mel de eucalipto, laranjeira e cambará.
NMR profiling clarifies the characterization of Finnish honeys of different botanical origins
Food Research International, 2016
The Finnish varietal honeys are valued specialty foods with unique characteristics, owing to their botanical origin. 1 H NMR metabolomics was applied to examine the compositional differences and origin-related markers of naturally complex boreal honeys (buckwheat, clover, dandelion, heather, Himalayan balsam, honeydew, linden, lingonberry, multifloral). Special focus was on the metabolites in aqueous samples. Chloroform extracts of selected samples were also analyzed for additional metabolic evidence.
1H-NMR Profiling and Chemometric Analysis of Selected Honeys from South Africa, Zambia, and Slovakia
Molecules
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. 1 H-NMR (Nuclear Magnetic Resonance) profiling of the honeys in D 2 O was determined, and the data were analysed by chemometrics. This method is fast, reproducible, and sample pre-treatment is not necessary. The 1 H-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 1 H-NMR profiles successively categorises the honeys into two chemically related groups. The R 2 values are higher than the corresponding Q 2 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.
Molecules
Bulgaria and North Macedonia have a long history of the production and use of honey; however, there is an obvious lack of systematic and in-depth research on honey from both countries. The oak honeydew honey is of particular interest, as it is highly valued by consumers because of its health benefits. The aim of this study was to characterize honeydew and floral honeys from Bulgaria and North Macedonia based on their NMR profiles. The 1D and 2D 1H and 13C-NMR spectra were measured of 16 North Macedonian and 22 Bulgarian honey samples. A total of 25 individual substances were identified, including quinovose, which was found for the first time in honey. Chemometric methods (PCA—principal component analysis, PLS-DA—partial least squares discriminant analysis, ANOVA—analysis of variance) were used to detect similarities and differences between samples, as well as to determine their botanical and geographical origin. Semiquantitative data on individual sugars and some other constituents ...
Proceedings of the XIII International Conference on the Applications of Magnetic Resonance in Food Science
The globalization of trade of foods with its overwhelming variety has led to an increased demand for authentic products by all parts of the food value chain. In particular high-priced products are commonly adulterated, mislabeled or completely substituted. Honey is a typical example for such foods, which show an increasing number of adulterations, mostly related to the declaration of the botanical origin. A non-targeted 1 H-NMR-based screening, combined with multivariate statistical analysis was applied as a fast and simple comprehensive approach to verify the botanical origin of honey samples. The NMR fingerprints of honey sample were processed by taylor-made chemometric tools, based on principal component analysis (PCA) and linear discriminant analysis (LDA) in custom MATLAB routines. The results obtained by PCA-LDA showed very good discrimination between the different honey types with 98.9 % correct overall classification rate of the samples. Hence, this NMR based screening approach could be an effective alternative to traditional, laborious methods.
Classification and identification of Vietnamese honey using chemometrics based on 1H-NMR data
Vietnam Journal of Science, Technology and Engineering, 2017
Honey is a natural, sweet, and syrupy fluid which has been used in Vietnam in a variety of ways; as a food supplement, beauty product, and natural drug. However, quality control and characterization of honey are blind problems. Consumers, and even market management committees, must believe in the producer’s quality standards without using any special techniques to evaluate the botanical origins of honey in the Vietnamese market. The chemical composition and physical properties of natural honey vary per plant species of which the honey bees scrounged. Longan flower-honey has a high price and is commercially produced in Yen Bai, Bac Giang, and the more well-known Hung Yen Province in Vietnam, and now is being confused with original flower honey. In this work, a total of 57 honey samples (longan and non-longan) from different geographic and botanical origins have been analysed in terms of 1H-NMR spectroscopy, coupled also with multivariate statistical analysis methods. Principal compon...