Botanical discrimination of Greek unifloral honeys based on mineral content in combination with physicochemical parameter analysis, using a validated chemometric approach

2017 ◽  
Vol 135 ◽  
pp. 180-189 ◽  
Author(s):  
Artemis Panormitis Louppis ◽  
Ioannis Konstantinos Karabagias ◽  
Stavros Kontakos ◽  
Michael George Kontominas ◽  
Chara Papastephanou
Keyword(s):  
Mineral Content ◽  
Parameter Analysis ◽  
Physicochemical Parameter ◽  
Chemometric Approach

scholarly journals Characterization and Botanical Differentiation of Monofloral and Multifloral Honeys Produced in Cyprus, Greece, and Egypt Using Physicochemical Parameter Analysis and Mineral Content in Conjunction with Supervised Statistical Techniques

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Ioannis K. Karabagias ◽  
Artemis P. Louppis ◽  
Stavros Kontakos ◽  
Chryssoula Drouza ◽  
Chara Papastephanou
Keyword(s):  
Inductively Coupled Plasma ◽  
Physicochemical Parameters ◽  
Mineral Content ◽  
Quality Criteria ◽  
Parameter Analysis ◽  
Physicochemical Parameter ◽  
Emission Spectrometry ◽  
Statistical Techniques ◽  
Classification Rate ◽  
Linear Discriminant

Thirty-four honey samples donated by beekeepers and purchased from supermarkets were collected during harvesting years 2010–2014 from Cyprus, Greece, and Egypt. The aims of this study were to characterize honey samples and, if possible, to differentiate honeys according to the honey type on the basis of physicochemical parameter values, mineral content, and their combination using supervised statistical techniques (linear discriminant analysis (LDA)). Physicochemical parameters (colour, pH, free acidity, total dissolved solids, salinity, electrical conductivity, and moisture content) were determined according to official methods, while minerals (Al, As, B, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, Hg, Mg, Mn, Mo, Ni, P, Pb, Sb, Si, Ti, Tl, V, and Zn) using inductively coupled plasma optical emission spectrometry. The majority of honey samples analyzed met the quality criteria set by the European directive and national decision related to honey. Implementation of multivariate analysis of variance (MANOVA) and LDA on specific physicochemical parameters, minerals, or their combination provided a satisfactory classification of honeys according to floral type. The overall correct classification rate (based on the cross-validation method) was 79.4% using 7 minerals and 91.2% using 8 physicochemical parameters. When the 15 parameters were combined, the classification rate of Egyptian honeys was improved by 25%.

Geographical characterisation of honeys according to their mineral content and antioxidant activity using a chemometric approach

2013 ◽  
Vol 49 (5) ◽  
pp. 1351-1359 ◽  
Author(s):  
Benedetta Pasquini ◽  
Mohammad Goodarzi ◽  
Serena Orlandini ◽  
Giangiacomo Beretta ◽  
Sandra Furlanetto ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Mineral Content ◽  
Chemometric Approach

Method application of optimal multi-parameter analysis to assess the distribution of water masses as an example of CTD data of the Barents Sea in summer 2017

2019 ◽  
pp. 38-51
Author(s):  
Valeriy G. Yakubenko ◽  
Anna L. Chultsova
Keyword(s):  
Barents Sea ◽  
Field Measurements ◽  
Structural Similarity ◽  
Water Masses ◽  
Parameter Analysis ◽  
Water Dynamics ◽  
Phosphorus Concentration ◽  
Nitrogen And Phosphorus ◽  
The Barents Sea ◽  
Expert Assessments

Identification of water masses in areas with complex water dynamics is a complex task, which is usually solved by the method of expert assessments. In this paper, it is proposed to use a formal procedure based on the application of the method of optimal multiparametric analysis (OMP analysis). The data of field measurements obtained in the 68th cruise of the R/V “Academician Mstislav Keldysh” in the summer of 2017 in the Barents Sea on the distribution of temperature, salinity, oxygen, silicates, nitrogen, and phosphorus concentration are used as a data for research. A comparison of the results with data on the distribution of water masses in literature based on expert assessments (Oziel et al., 2017), allows us to conclude about their close structural similarity. Some differences are related to spatial and temporal shifts of measurements. This indicates the feasibility of using the OMP analysis technique in oceanological studies to obtain quantitative data on the spatial distribution of different water masses.

Influence of anthropometric parameters on assessment of paediatric bone mineral density and bone mineral content

2013 ◽  
Author(s):  
N Hangartner Thomas ◽  
F Short David ◽  
Gilsanz Vicente ◽  
J Kalkwarf Heidi ◽  
M Lappe Joan ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral Content ◽  
Bone Mineral ◽  
Mineral Content ◽  
Mineral Density ◽  
Anthropometric Parameters

Age at onset of walking affects bone mineral content in early childhood

2017 ◽  
Author(s):  
Saara Valkama ◽  
Heli Viljakainen ◽  
Elisa Holmlund-Suila ◽  
Jenni Rosendahl ◽  
Helena Hauta-alus ◽  
...  
Keyword(s):  
Early Childhood ◽  
Bone Mineral Content ◽  
Bone Mineral ◽  
Mineral Content ◽  
Age At Onset

Treatment with a TR[alpha]1 antagonist increases bone mineral content

2014 ◽  
Author(s):  
Julian A Waung ◽  
J H Duncan Bassett ◽  
Graham R Williams
Keyword(s):  
Bone Mineral Content ◽  
Bone Mineral ◽  
Mineral Content
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