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Assessing the quality of bee honey on the basis of melissopalynology as well as chemical analysis

Author

Listed:
  • Zahra Shakoori
  • Ahmadreza Mehrabian
  • Dariush Minai
  • Farid Salmanpour
  • Farzaneh Khajoei Nasab

Abstract

Melissopalynological and chemical analysis of honey provide us useful and valuable information about the botanical and geographical origin of honey. The data in question is very important for authentication as well as for testing the quality of honey, so this is considered the main method in honey regulation here, we have used chemical analysis and melissopalynology to evaluate different honey samples from two main Iranian hubs of honey. Sampling was carried out on two important poles in Iran’s honey production, the central Alborz region, and the mountainous Zagros ecosystems in the years 2020 to 2021. Therefore, 52 samples from Alborz (Northern Iran), as well as 42 samples from the Zagrosian ecosystems (western Iran) belonging to different ecological habitats, were collected. In addition, samples were taken at 7 altitudes from 0 to 3500 m a.s.l. Furthermore, in this study, various chemical analyses such as the effect of antioxidant activity, the amount of total phenolic content, pH, and moisture content of honey samples were evaluated. Our results showed that all honey samples were classified as polyfloral honey. Based on our findings, 57 honey samples (61%) contained the standard amount of pollen. A total of 42 plant families and 55 genera were identified in the studied samples, with the highest presence of Asteraceae, Fabaceae, Rosaceae, Apocynaceae, and Apiaceae. Finally, an antioxidant activity ratio of 19% to 98%, total phenolic content from 0.08 to 0.51 ppm, pH from 1.90 to 5.21, and moisture content from 13% to 18.40%.

Suggested Citation

  • Zahra Shakoori & Ahmadreza Mehrabian & Dariush Minai & Farid Salmanpour & Farzaneh Khajoei Nasab, 2023. "Assessing the quality of bee honey on the basis of melissopalynology as well as chemical analysis," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-20, August.
    • Handle: RePEc:plo:pone00:0289702
    DOI: 10.1371/journal.pone.0289702
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    1. Raja Ponnuchamy & Vincent Bonhomme & Srinivasan Prasad & Lipi Das & Prakash Patel & Cédric Gaucherel & Arunachalam Pragasam & Krishnamurthy Anupama, 2014. "Honey Pollen: Using Melissopalynology to Understand Foraging Preferences of Bees in Tropical South India," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-11, July.
    2. Hanane Menad & Farah Ben-naoum & Abdelmalek Amine, 2020. "A Hybrid Grey Wolves Optimizer and Convolutional Neural Network for Pollen Grain Recognition," International Journal of Swarm Intelligence Research (IJSIR), IGI Global Scientific Publishing, vol. 11(3), pages 49-71, July.
    3. Klein, Benjamin & Leffler, Keith B, 1981. "The Role of Market Forces in Assuring Contractual Performance," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 615-641, August.
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