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Publications (2)2.18 Total impact

  • Article: Evolutionary pattern of 5'-UTR of enteroviruses and primer update for the detection of enteroviral RNA in environmental samples.
    Nabil Ben Salem Abid, Rouis Zyed, Mahjoub Aouni
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    ABSTRACT: To study the recombination events among enterovirus strains and the development of specific primers for the detection of enteroviruses in environmental samples. Nucleotide sequence analysis of enteroviruses deposited in the international database GenBank (www.ncbi.nlm.nih.gov/Genbank) was conducted to develop specific primers for the detection of these viruses. The specificity and sensitivity of the method were tested using coxackievirus B3 strain Nancy, environmental isolate of human hepatitis A virus and human rotavirus strain WA. Seventy sewage samples were analyzed. Enterovirus genome was detected in all positive samples. The genome of enterovirus was not detected in negative samples. The level of detection of these viruses was 10(2) TCID(50)/mL. The development of new primers is an important issue for the detection of enteroviruses in the environment and the assessment of risk factors to human health.
    Asian Pacific Journal of Tropical Medicine 09/2012; 5(9):703-8. · 0.37 Impact Factor
  • Article: Chemical composition and intraspecific variability of the essential oils of five populations of Hypericum triquetrifolium Turra growing in North Tunisia.
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    ABSTRACT: The chemical composition of the essential oils of five populations of Hypericum triquetrifolium Turra from Tunisia and their intraspecific variability were analyzed in detail by GC/MS. One hundred seventy-four compounds were identified, representing averages of 87.9 to 98.7% of the oil composition. The components are represented here by homologous series of monoterpene hydrocarbons, oxygenated monoterpenes, sesquiterpenes hydrocarbons, oxygenated sesquiterpenes, non-terpenic hydrocarbons, and others. Sesquiterpene hydrocarbons were the most abundant chemical compounds. Multivariate chemometric techniques, such as cluster analysis (CA) and principal-component analysis (PCA), were used to characterize the samples according to the geographical origin. By statistical analysis, the analyzed populations were classified into four chemotype groups.
    Chemistry & Biodiversity 04/2012; 9(4):806-16. · 1.80 Impact Factor