Affiliations 

  • 1 College of Agriculture, King Saud University, Riyadh, Saudi Arabia
  • 2 Baku State University, Baku, Azerbaijan
  • 3 Department of Food Sciences & Nutrition, College of Food & Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
  • 4 Department of Biology, University of Selcuk, Konya, Turkey
  • 5 Department of Technology of Storage and Processing of Agricultural Products, Tashkent State Agrarian University, Tashkent, Uzbekistan
  • 6 Department of Botany and Plant Physiology, Baku State University, Baku, Azerbaijan
  • 7 Faculty of Pharmacy, University College of MAIWP International, Kuala Lumpur, Malaysia
  • 8 Department of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
  • 9 Lankaran State University, Lankaran, Azerbaijan
  • 10 Western Caspian University, Baku, Azerbaijan
  • 11 Doctor of Biological Sciences, Nakhchivan State University, Nakhchivan, Azerbaijan
  • 12 entral Research Laboratory, Bashkir State Medical University, Ufa, Russia
  • 13 Department of Obstetrics and Gynecology, Tyumen State Medical University, Tyumen, Russia
  • 14 Food Engineering Department, Chemical and Metallurgical Engineering Faculty, Yildiz Technical University, Istanbul, Turkey
  • 15 Faculty of Agriculture and Environment, Department of Agronomy Sciences, Agriculture University of Tirana, Tirana, Albania
  • 16 College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
Biomed Chromatogr, 2024 Apr 10.
PMID: 38599336 DOI: 10.1002/bmc.5869

Abstract

The increasing demand for honey purification and authentication necessitates the global utilization of advanced processing tools. Common honey processing techniques, such as chromatography, are commonly used to assess the quality and quantity of valuable honey. In this study, 15 honey samples were authenticated using HPLC and GC-MS chromatographic methods to analyze their pollen spectrum. Various monofloral honey samples were collected, including Acacia, Hypoestes, Lavandula, Tamarix, Trifolium, and Ziziphus species, based on accurate identification by apiarists in 2023 from the Kingdom of Saudi Arabia. Honey analysis revealed the extraction of pollen from 20 different honeybee floral species. Pollen identified from honey samples using advanced chromatographic tools revealed dominant vegetation resources: Ziziphus species (23%), Acacia species (25%), Tamarix species (34%), Lavandula species (26%), Hypoestes species (34%), and Trifolium species (31%). This study uses HPLC to extract phenolic compounds, revealing dominant protocatechuic acid (4.71 mg g-1), and GC-MS to analyze organic compounds in honey pollen. Specifically, 2-dodecanone was detected with a retention time of 7.34 min. The utilization of chromatographic tools in assessing honey samples for pollen identification provides a reliable and efficient method for determining their botanical origins, thereby contributing to the quality control and authentication of honey products.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.