Integrated GC-MS and DNA Barcoding-Based Identification of Antibacterial Phytocompounds from Solanum torvum (Sw.) Leaf Extract

@article{1710057,
      author = {Aseibai, E. R, Adias, T.C., Anyiam, I.V},
      title = {Integrated GC-MS and DNA Barcoding-Based Identification of Antibacterial Phytocompounds from Solanum torvum (Sw.) Leaf Extract},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {2},
      pages = {600-604},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710057.pdf},
      abstract = {This study reports the identification of antibacterial phytocompounds from the leaf extract of Solanum torvum (Sw.) using gas chromatography?mass spectrometry (GC-MS) and DNA barcoding via the matK gene region. A total of 35 compounds were identified from GC-MS analysis, with prominent antibacterial compounds including phytol and n-hexadecanoic acid. DNA sequencing and BLAST analysis confirmed the plant species identity with 99.63% similarity to Solanum torvum (GenBank: MN218076). A phylogenetic tree based on matK further corroborated this identification. Antibacterial relevance of the phytocompounds was confirmed through literature mining, and the biological targets and metabolic relevance were mapped. These findings provide a scientific basis for the traditional use of S. torvum in managing infections.},
      keywords = {Solanum torvum, GC-MS, matK, phytol, palmitic acid, antibacterial, DNA barcoding, phytochemicals},
      month = {August},
      doi = {https://doi.org/10.64388/IREV9I2-1710057-459}
  }