Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Ciencia en Desarrollo
Print version ISSN 0121-7488
Abstract
OSORIO TANGARIFE, Mónica Patricia; RODRIGUEZ ARIAS, Nelson and SALAMANCA GROSSO, Guillermo. Multivariate techniques, factorial multiple analysis and PLS-PATH modeling for study and classification of venezuelan honeys from states of Lara and Yaracuy. Ciencia en Desarrollo [online]. 2017, vol.8, n.1, pp.129-143. ISSN 0121-7488.
Honey is a natural product made mainly from the nectar of flowers and their final quality depend on their botanical and geographical origin. Its variability is large even for honey produce at the same area. The aim of this work have been centered in evaluation of Venezuelan honey from Lara and Yaracuy States, taking as a reference the physicochemical parameters of color, chromaticity of CIELab, pH, free acidity (XAL), total sugars (Xs), moisture (Xw), ash (Xc), electrical conductivity (EC), density, and water activity (aw). Additionally have been associated the sensory attributes and intrinsic properties of honey for a classification process for homogeneous honey using multivariate analysis, multiple factor and PLS-PATH. The relationship between the answers and regression, reveals types of honey with 50 % dominantly amber (A), 40 % amber light (LA) and 10 % dark amber (DA) of multiflower nature. The physicochemical properties and sensory attributes are conducive to differentiation in accordance to their geographical origin.
Keywords : Multivariate analysis; Classification methods; Venezuelan honeys; Physicochemical properties; PLS-PATH.