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    • Dept. of Microbiology
    • Masters Thesis
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    •   HSTUL IR
    • Faculty of Veterinary and Animal Science
    • Dept. of Microbiology
    • Masters Thesis
    • View Item
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    DETECTION OF POTENTIAL BACTERIAl PATHOGENS AND AFLATOXIGENIC FUNGI PATHOGENS FROM GRAIN SAMPLE

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    HINDA ABDUKADIR MOHAMED REGISTRATION NO. 1605581 SEMESTER: JULY-DECEMBER, 2017 SESSION: 2016 (3.224Mb)
    Date
    2017-12
    Author
    MOHAMED, HINDA ABDUKADIR
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    URI
    http://localhost:8080/xmlui/handle/123456789/1649
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    • Masters Thesis
    Abstract
    The present research work was carried out for the Detection of potential bacterial pathogen and aflatoxigenic fungi Aspergillus spp. from grain samples during the period from January to June 2017. A total 25 grain samples comprising {Rice (5), Maize (5), Wheat (5), Khessari dal (5) and Anchora dal (5)} were collected from 3 different local markets of Dinajpur district, Bangladesh. 15 bacterial isolates comprising 4 genara of bacteria were found from a total of 25 samples. The Isolated bacteria were Staphylococcus spp., Escherichia coli, Klebsiella spp and Salmonella spp. Among the 25 grain samples, 4 Staphylococcus spp., 7 Salmonella spp., 4 Escherichia coli and 4 Klebsiella spp. were isolated with 16%, 28%, 16% and 16% prevalence respectively. Antibiogram studies revealed that overall effective drugs against isolated bacteria were ciprofloxacin followed by Gentamycine. But resistant drugs were Penicillin, Vancomycin, Erythromycin, Kanamycin and Amoxicilline. The variation in the sensitivity of common antibiotic could be result of extensive and indiscriminate use of these antibiotics. Aspergillus spp was isolated from 4 grain samples with 16% prevalence. But Aflatoxigenic Aspergillus spp was isolated from 3 samples with 12% prevalence. From the wheat samples and maize the Aflatoxigenic fungus was isolated and their prevalence in maize, wheat was 40% and 20% respectively. Their early detection can help to take preventive measures to combat economic and health losses. The study showed that earlier detections can be made by simple traditional identifications using macro and micro morphological fungal features rather than adopting the time and cost consuming molecular identification techniques.

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