IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v4y2021i1p20-24id51.html
   My bibliography  Save this article

Study of milk and dairy products Staphylococcus contamination and antimicrobial susceptibility sold in local markets around Kabul University

Author

Listed:
  • Sayed Arif Ahmadi
  • Mohammad Zaher Sakha
  • Sohaila Ebadi
  • Ashok Kumar Panda

Abstract

This research aimed to evaluate Staphylococcus aureus contamination from milk and its derivatives available in local dairy sale centers around the Kabul University located in Kabul city. Samples were included caw`s raw and pasteurized milk, cheese, ice cream, yogurt, custard, and dough (native product). The mentioned products were collected and then using the conventional method was tested in the laboratory. 70 samples were tested, from tested only 18 samples were presented Staphylococcus aureus, as these isolates had a positive reaction for coagulase. The disk diffusion method plus 8 antibiotics which are commonly used in the Veterinary section were used for antimicrobial sensitivity reaction. Staphylococcus isolated samples showed resistance against more than 3 antibiotics, maximum resistance was to Nalidixic acid (50%) followed by Ciprofloxacin (44.44%), Norfloxacin (27.77%), Erythromycin and Methicillin (27.77%), and Tetracycline (22.22%). All the isolates susceptibility was high to Polymaxine and resistant to Ampicillin (100%). As we found in our study the biological quality of tested samples sold around Kabul University were notsatisfactory as well as resistance against the mentioned antibiotics except two antibiotics. The contaminated products could be a potential risk to humans .

Suggested Citation

  • Sayed Arif Ahmadi & Mohammad Zaher Sakha & Sohaila Ebadi & Ashok Kumar Panda, 2021. "Study of milk and dairy products Staphylococcus contamination and antimicrobial susceptibility sold in local markets around Kabul University," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 4(1), pages 20-24.
  • Handle: RePEc:aac:ijirss:v:4:y:2021:i:1:p:20-24:id:51
    as

    Download full text from publisher

    File URL: http://www.ijirss.com/index.php/ijirss/article/view/51/160
    Download Restriction: no

    File URL: http://www.ijirss.com/index.php/ijirss/article/view/51/188
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hosseini-Ara, Reza & Mokhtarian, Ali & Karamrezaei, Amir Hossein & Toghraie, Davood, 2022. "Computational analysis of high precision nano-sensors for diagnosis of viruses: Effects of partial antibody layer," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 192(C), pages 384-398.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aac:ijirss:v:4:y:2021:i:1:p:20-24:id:51. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.