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Analysis of Multifloral Bee Pollen Pellets by Advanced Digital Imaging Applied to Functional Food Ingredients

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Abstract

Bee pollen is a hive product, resulting from floral pollen agglutination by worker bees and it is characterized by its excellent bioactive and nutritional composition. Currently, research is focused on bee pollen applications on food industry, because this product has been considered an excellent source of compounds for human nutrition. It is also important in some industries, where color and particle size are important characteristics for production. Due to the granular nature of bee pollen, conventional colorimetry does not allow describing color correctly; thus, digital image analysis is a better alternative. This technique could also allow classifying bee pollen according to its appearance beyond the color. Consequently, the aim of this work was to develop a novel methodology for image data processing to classify bee pollen as ingredient in food industry. Seven color groups in samples were established regarding harvest month and particle size. It was possible to calculate the percentage of each color group in all samples. This methodology also allowed selecting each fraction for different applications in food industry using colorimetry, granulometry and the relationship between both of them.

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Acknowledgements

We want to thank “Convocatoria Nacional de Proyectos para el Fortalecimiento de la Investigación, Creación e Innovación 2016-2018” from DIB of Universidad Nacional de Colombia. To Asociación Universitaria Iberoamericana de Posgrado -AUIP- and its program “Becas de Movilidad entre Universidades Andaluzas e Iberoamericanas Convocatoria 2017”. We want to thank Apiario Los Cerezos in Boyacá, Colombia for the material for this research. Finally, we are indebted to the staff of Biology Service (SGI, Universidad de Sevilla) for the technical assistance.

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Authors and Affiliations

  1. Institute of Food Science and Technology, Universidad Nacional de Colombia, Carrera 30 # 45-03, Edificio 500, Bogotá D.C., Colombia

    Claudia Y. Salazar-González, Consuelo Díaz-Moreno & Carlos A. Fuenmayor

  2. Department of Chemical and Environmental Engineering, Universidad Nacional de Colombia, Carrera 30 # 45-03, Bogotá, Colombia

    Claudia Y. Salazar-González

  3. Food Color and Quality Laboratory, Facultad de Farmacia, Universidad de Sevilla, 41012, Sevilla, Spain

    Francisco J. Rodríguez-Pulido & Francisco J. Heredia

  4. Departamento de Biología Vegetal y Ecología, Universidad de Sevilla, 41012, Sevilla, Spain

    Anass Terrab

Authors
  1. Claudia Y. Salazar-González
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  2. Francisco J. Rodríguez-Pulido
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  3. Anass Terrab
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  4. Consuelo Díaz-Moreno
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  5. Carlos A. Fuenmayor
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  6. Francisco J. Heredia
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Correspondence to Francisco J. Heredia.

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Salazar-González, C.Y., Rodríguez-Pulido, F.J., Terrab, A. et al. Analysis of Multifloral Bee Pollen Pellets by Advanced Digital Imaging Applied to Functional Food Ingredients. Plant Foods Hum Nutr 73, 328–335 (2018). https://doi.org/10.1007/s11130-018-0695-9

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  • DOI: https://doi.org/10.1007/s11130-018-0695-9

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