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Showing 22 results for mohammadi

Mis Forogh Mohammadi, Mis Maryam Karimi-Dehkordi, Mr Ashkan Pourshahbaz Pourshahbaz,
Volume 12, Issue 1 (3-2025)
Abstract

Consumers in poor nations are at risk from foodborne infections. Nanotechnology may help find food-grade antimicrobials. This research compares the antibacterial effects of silver and copper nanoparticles (NPs) and sodium hypochlorite on food-contaminating pathogens Salmonella typhimurium, Listeria monocytogenes, and Kluyveromyces marxianus. This work chemically produced silver and copper NPs. We discovered the produced nanoparticles' physical and chemical properties. SEM verified morphology and size. Synthesized copper and silver NPs were X-ray diffraction-analyzed. To assess the antibacterial activity of silver, copper NPs, and sodium hypochlorite, the MIC and MBC were defined. Diffusion tests from the well assessed nanoparticle antibacterial activity. SEM micrographs revealed copper and silver nanoparticles' spherical shape. This study found functional group stretching vibrations in silver and copper NPs using FTIR. XRD revealed copper and silver NP crystal structures. In the treatment of infections with varying silver and copper nanoparticle concentrations, non-growth halo indicated antibacterial efficacy. In addition, silver and copper nanoparticles have substantial MIC/MBC against the infections. Producing food packaging materials that are safe and long-lasting requires bacterial sensitivity to nanoparticles. This work synthesized silver and copper NPs to minimize food contamination and health hazards.

 
Dr Laleh Malekmohammadi, Prof Masoud Sheidai, Prof Farrokh Ghahremaninejad, Prof Afshin Danehkar, Dr Fahimeh Koohdar,
Volume 13, Issue 2 (4-2026)
Abstract

Phylogenetic analyses of Avicennia species have been carried out using diverse molecular datasets, including chloroplast genome sequences and multilocus nuclear gene markers. These studies have contributed valuable insights into evolutionary relationships within the genus and clarified its placement in the Acanthaceae family. Concatenated sequence datasets provide broader genomic information and can enhance the resolution and reliability of phylogenetic trees. In parallel, the multispecies coalescent (MSC) model offers a robust framework for addressing evolutionary questions such as estimating species divergence times, population sizes, species tree topologies despite gene tree discordance, interspecific gene flow, and species delimitation.The genus Avicennia L., comprising approximately eight species, represents a key group of mangrove plants, some of which occur along the southern coasts of Iran. However, considerable uncertainty remains regarding the molecular phylogeny of these species. Therefore, this study applies both MSC-based and concatenation-based phylogenetic approaches to investigate species relationships within Avicennia, using molecular data from nuclear ITS and chloroplast psbA sequences. We constructed species trees using BEAST (StarBEAST), performed gene-based analyses in Mesquite, and generated maximum likelihood trees. The results revealed two major divergent clades, with evidence of deep coalescence, interspecific introgression, and structural DNA variations, suggesting a complex evolutionary history within the genus.


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