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AlNadhari S, Abbasova G, Al-Qahtani WH, Zengin G, Islamov S, Mammadova AO, Azad AK, Mammadova S, Jaradat N, Babayeva U, Humbatov M, Ganbarov D, Beylerli O, Beilerli A, Toker ÖS, Biturku J, Kiren I. Assessment of the botanical origin of Saudi Arabian honey samples to identify pollen with chromatographic tools and packing and storage. Biomed Chromatogr 2024:e5869. [PMID: 38599336 DOI: 10.1002/bmc.5869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/30/2024] [Accepted: 03/07/2024] [Indexed: 04/12/2024]
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.
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Affiliation(s)
- Saleh AlNadhari
- College of Agriculture, King Saud University, Riyadh, Saudi Arabia
| | | | - Wahidah H Al-Qahtani
- Department of Food Sciences & Nutrition, College of Food & Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Gokhan Zengin
- Department of Biology, University of Selcuk, Konya, Turkey
| | - Sokhib Islamov
- Department of Technology of Storage and Processing of Agricultural Products, Tashkent State Agrarian University, Tashkent, Uzbekistan
| | - Afat O Mammadova
- Department of Botany and Plant Physiology, Baku State University, Baku, Azerbaijan
| | - Abul Kalam Azad
- Faculty of Pharmacy, University College of MAIWP International, Kuala Lumpur, Malaysia
| | | | - Nidal Jaradat
- Department of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
| | | | | | - Dashgin Ganbarov
- Doctor of Biological Sciences, Nakhchivan State University, Nakhchivan, Azerbaijan
| | - Ozal Beylerli
- entral Research Laboratory, Bashkir State Medical University, Ufa, Russia
| | - Aferin Beilerli
- Department of Obstetrics and Gynecology, Tyumen State Medical University, Tyumen, Russia
| | - Ömer Said Toker
- Food Engineering Department, Chemical and Metallurgical Engineering Faculty, Yildiz Technical University, Istanbul, Turkey
| | - Jonida Biturku
- Faculty of Agriculture and Environment, Department of Agronomy Sciences, Agriculture University of Tirana, Tirana, Albania
| | - Ifrah Kiren
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
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