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<p>This study investigated the pollen morphology and chemical composition of selected medicinal plants from the cold semi-arid climate to enhance taxonomic classification and authentication. Scanning electron microscopy (SEM) and chemical analysis were utilized to differentiate closely related species based on palynological traits. Quantitative findings revealed that <i>Salvia officinalis</i> had the highest carbohydrate (30.2&#xa0;mg/g), lipid (9.3%), and vitamin C content (0.14&#xa0;mg/g), while <i>Hypericum scabrum</i> exhibited the highest protein content (5.1&#xa0;mg/g). Mineral analysis showed <i>S. officinalis</i> contained the highest calcium (1.5&#xa0;mg/g) and potassium (8.5&#xa0;mg/g). Antioxidant activity, assessed using DPPH and ABTS assays, demonstrated that <i>S. officinalis</i> exhibited the strongest radical scavenging capacity (71.8% and 79.4%, respectively). SEM analysis revealed significant morphological variations, with pollen grains classified based on symmetry, aperture type, and exine sculpturing. The findings contribute to the standardization of pollen identification methods, ensuring improved quality control and authentication of medicinal plants for pharmaceutical and industrial applications.</p>

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Pollen as an insect interaction marker: palynological, chemical, and microscopic perspectives of selected medicinal plants

  • 期刊论文

  • 发表日期：

    2025年5月5日

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  • Nozimova Aziza Baxtiyorovna,
  • Xaydarov Khislat Qudratovich,
  • Djumayeva Zamira,
  • Mohamed Fawzy Ramadan,
  • Norkulov Ma’sudjon Ma’rufovich,
  • Dilaro Fayzullayeva Botirjon Qizi,
  • Ochilov Ulugbek Abdukhamidovich,
  • Matkarimova Gulnaz Maqsudjanova,
  • Nurullayeva Nodira Sayfullayevna,
  • Muhammad Zafar,
  • Salman Majeed,
  • Muhammad Rizwan Khan,
  • Jonida Biturku

摘要

This study investigated the pollen morphology and chemical composition of selected medicinal plants from the cold semi-arid climate to enhance taxonomic classification and authentication. Scanning electron microscopy (SEM) and chemical analysis were utilized to differentiate closely related species based on palynological traits. Quantitative findings revealed that Salvia officinalis had the highest carbohydrate (30.2 mg/g), lipid (9.3%), and vitamin C content (0.14 mg/g), while Hypericum scabrum exhibited the highest protein content (5.1 mg/g). Mineral analysis showed S. officinalis contained the highest calcium (1.5 mg/g) and potassium (8.5 mg/g). Antioxidant activity, assessed using DPPH and ABTS assays, demonstrated that S. officinalis exhibited the strongest radical scavenging capacity (71.8% and 79.4%, respectively). SEM analysis revealed significant morphological variations, with pollen grains classified based on symmetry, aperture type, and exine sculpturing. The findings contribute to the standardization of pollen identification methods, ensuring improved quality control and authentication of medicinal plants for pharmaceutical and industrial applications.