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ARPN Journal of Engineering and Applied Sciences

Study of variations in honey types according to temporal factors (years) and geographical factors (Regions)

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Author Mahbouba Manamani and Larbi Boughediri
e-ISSN 1819-6608
On Pages 1996-2009
Volume No. 20
Issue No. 23
Issue Date February 10, 2026
DOI https://doi.org/10.59018/1225222
Keywords spatio-temporal evolution, bovine serum albumin, principal component analysis.


Abstract

The present study aims to evaluate the quality of honeys produced in three wilayas of eastern Algeria, namely Souk Ahras, Tébessa, and El Tarf, through the analysis of their physicochemical and palynological properties. Over five distinct years, namely 2007, 2008, 2012, 2013, and 2016, samples of honey were collected from local beekeepers to apprehend the spatio-temporal variations likely to influence the composition of the honey. The classification of Botanical families and their associated species according to their frequency of occurrence showed that the Asteraceae family (17.1%) is the most represented, testifying to its diversity and floristic richness. The Fabaceae family (14.3%) is followed by the Lamiaceae, Poaceae, Brassicaceae, and Apiaceae, which contribute to the floristic composition. The results show that the pollen bouquet of Algerian honey bees is dominated by the Asteraceae-Fabaceae association, with secondary families that participate in the floristic and apicultural value of the product. The results of the study of the pollen composition reveal a great variability according to the regions and years. The samples are classified mainly in classes II and III, with a marked presence of class V in some cases. The contents oscillate between 1 117 and 23 196 grains/g, with 66.7 % in class II, 23.3 % in class III, and only 10 % in class I. The pollen content (class I) is low, less than 10 % in some cases. The physicochemical characteristics of the honeys are very variable, which depend on the local flora and apicultural factors. The spatio-temporal study of the physicochemical parameters reveals variability depending on the year of harvest and the geographical area. The results showed that the floristic richness and dominance were positively correlated with pH, density, and acidity, and negatively with humidity and protein content.

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