IDEAS home Printed from https://ideas.repec.org/a/ags/aesjfr/405006.html

Comparison of Conventional and Rapid Methods for Salmonella Detection in Artisanal Minas Cheese

Author

Listed:
  • Mata, Gardênia M. S.
  • Vanetti, Maria Cristina

Abstract

Artisanal cheeses traditionally produced from raw milk have a diverse microbiota and, due the varied changes that occur in this type of food matrix during the maturation, pathogens detection’s may be impaired. In this study, the conventional method established by ISO 6579:2005 to evaluate the presence of Salmonella was compared with two alternative rapid methods, PCR-BAX® (DuPont) and VIDAS®-SLM (BioMérieux), to analyze artisanal Minas cheese, a typical Brazilian product. Salmonella was not detected by conventional or PCR-BAX® in 63 artisanal Minas cheese samples analyzed. Although highly specific and accurate, the immunoassay (VIDAS®-SLM) presented 3.17% of false positives. Good manufactures practices were absent in some producers of Minas artisanal cheese and, the fact of Salmonella was not detected in analyzed samples should be related with presence of high and diverse endogenous microbiota, including approximately, 107 CFU.g-1 of lactic bacteria, and a low pH and water activity, conditions that can minimize pathogens growth, provide cellular injury and hamper the recovery strategies.

Suggested Citation

  • Mata, Gardênia M. S. & Vanetti, Maria Cristina, 2012. "Comparison of Conventional and Rapid Methods for Salmonella Detection in Artisanal Minas Cheese," Journal of Food Research, Canadian Center of Science and Education, vol. 1(3).
  • Handle: RePEc:ags:aesjfr:405006
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/405006/files/15856-59696-1-PB.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:ags:aesjfr:405006. 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: AgEcon Search (email available below). General contact details of provider: https://www.ccsenet.org/ .

    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.