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Artículo

A digital image-based traceability tool of the geographical origins of Argentine propolis

Pierini, Gastón DarioIcon ; Sousa Fernandes, David Douglas; Goncalves Dias Diniz, Paulo Henrique; Ugulino de Araújo, Mário César; Di Nezio, Maria Susana; Centurión, María Eugenia
Fecha de publicación: 04/2016
Editorial: Elsevier Science
Revista: Microchemical Journal
ISSN: 0026-265X
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Química Analítica

Resumen

Propolis is a hive product prepared by honeybees (Apis mellifera L.) widely used in pharmaceutical and food preparationsthat plays beneficial roles beyond basic nutrition and therapeutic properties. These benefits are relatedwith its quality, which depends on various factors, such as geographical origin, botanical sources, collecting seasons,races of honeybees, climatic conditions and also the method of harvest. In this sense, it would be helpful theimplementation of a simple, fast and reliable analytical methodology for quality monitoring of propolis samplesas a traceability tool of its geographical origin. Thus, this work proposes the use of digital images andchemometrics for the classification of raw propolis from six different geographical origins of the Buenos AiresProvince, Argentina. For this purpose, different combinations between a color model (Grayscale, RGB and HSI)and a multivariate classifier (PCA?LDA, SIMCA, kNN, PLS-DA and SPA?LDA) were tested. The best analytical performancewas achieved by SPA?LDA using Intensity histograms, classifying correctly a 100% of the samples inboth training and test sets, taking in account the 27 variables selected by SPA. As a consequence, the proposedmethodology serves to support local apiculturists, guaranteeing the offer of products with a clear indication ofgeographical origin, and enhancing regional capabilities.
Palabras clave: PROPOLIS , CLASSIFICATION , DIGITAL IMAGES , GEOGRAPHICAL ORIGIN , SUCCESSIVE PROJECTIONS ALGORITHM , LINEAR DISCRIMINANT ANALYSIS
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/156200
DOI: http://dx.doi.org/10.1016/j.microc.2016.04.015
URL: https://www.sciencedirect.com/science/article/pii/S0026265X16300418
Colecciones
Articulos(CCT - CORDOBA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CORDOBA
Citación
Pierini, Gastón Dario; Sousa Fernandes, David Douglas; Goncalves Dias Diniz, Paulo Henrique; Ugulino de Araújo, Mário César; Di Nezio, Maria Susana; et al.; A digital image-based traceability tool of the geographical origins of Argentine propolis; Elsevier Science; Microchemical Journal; 128; 4-2016; 62-67
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