Journal ArticleDOI
Multivariate Correlation between Color and Mineral Composition of Honeys and by Their Botanical Origin
M.L. González-Miret,Anass Terrab,Dolores Hernanz,Maria Angeles Fernandez-Recamales,Francisco J. Heredia +4 more
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TLDR
The results obtained shown that lightness (L) was significantly correlated with S, Ca, Fe, As, Pb, and Cd for the dark honey types (avocado, heather, chestnut, and honeydew).Abstract:
The mineral content and color characteristics of 77 honey samples were analyzed. Eighteen minerals were quantified for each honey. Multiple linear regression (MLR) was used to establish equations relating the colorimetric CIELAB coordinates to the mineral data. The results obtained shown that lightness (L*) was significantly correlated with S, Ca, Fe, As, Pb, and Cd for the dark honey types (avocado, heather, chestnut, and honeydew). For the light and brown honey types (citrus, rosemary, lavender, eucalyptus, and thyme), Cab* and b* showed the lower correlation with the mineral content of the honeys; their regression functions involve a few independent variables (Mg and Al for b* and only Al for Cab*). Furthermore, by means of application of linear discriminant analysis to the mineral content, it was possible to obtain a model that classifies the honeys by their lightness. The prediction ability of the built model, determined with the test set method, was 85%. Keywords: ICP−OES; minerals; honey; color; mu...read more
Citations
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Supervised pattern recognition in food analysis.
TL;DR: The basis of the supervised pattern recognition techniques mostly used in food analysis are reviewed, making special emphasis on the practical requirements of the measured data and discussing common misconceptions and errors that might arise.
Analytical, Nutritional and Clinical Methods Evaluation of the phenolic content, antioxidant activity and colour of Slovenian honey
TL;DR: The results of the study showed that total phenolic content, antioxidant activity, and color parameters differ widely among different honey types as discussed by the authors, and the relationship between the parameters analysed were found to be statistically significant (p < 0.05).
Journal ArticleDOI
Evaluation of the phenolic content, antioxidant activity and colour of Slovenian honey
TL;DR: The results of the study showed that total phenolic content, antioxidant activity, and color parameters differ widely among different honey types as mentioned in this paper, and the relationship between the parameters analysed were found to be statistically significant (p < 0.05).
Journal ArticleDOI
Determination of metal content in honey by atomic absorption and emission spectrometries
TL;DR: In this article, a survey of the literature from the past 15 years on determination of the metal content of honey by atomic absorption and emission spectrometries is presented, paying particular attention to sample treatment, sample preparation and measurement techniques.
Journal ArticleDOI
Composition and properties of Apis mellifera honey: A review
Adriane Alexandre Machado De-Melo,Ligia Bicudo de Almeida-Muradian,M. T. Sancho,Ana Pascual-Maté +3 more
TL;DR: The use of honey is described as a biomonitor for collecting information about the environment, identifying environmental contamination and assessing the level of soil, water, plant and air pollution.
References
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Book
Using multivariate statistics
TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
Journal ArticleDOI
Classification of Spanish Unifloral Honeys by Discriminant Analysis of Electrical Conductivity, Color, Water Content, Sugars, and pH.
R. Mateo,Francisco Bosch-Reig +1 more
TL;DR: Electrical conductivity, color, water content, fructose, and sucrose are highly useful parameters to classify unifloral honeys, although microscopical analysis of honey sediment remains the fundamental tool.
Journal ArticleDOI
Mineral content and electrical conductivity of the honeys produced in Northwest Morocco and their contribution to the characterisation of unifloral honeys
TL;DR: In this article, the authors used inductively coupled plasma atomic emission spectro-metry (ICP-AES) to identify six minerals: K, Mg, Mn, Cu, Fe and Zn.