1 / 10

Changes of microbial contamination in different phases of meat producting Petr Smutný

Changes of microbial contamination in different phases of meat producting Petr Smutný. Supervisor: Doc. Ing. Michal Voldřich Csc. Introduction. Monitoring changes of microbial contamination during food production by different methods.

kaiser
Télécharger la présentation

Changes of microbial contamination in different phases of meat producting Petr Smutný

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Changes of microbial contamination in different phases of meat producting Petr Smutný Supervisor: Doc. Ing. Michal VoldřichCsc.

  2. Introduction • Monitoring changes of microbial contamination during food production by different methods. • Results of single methods were compared in relevant cases with realist determine values.

  3. Methods • Classical count method • Method detecting total quantity of ATP • Measuring air contamination by aeroscop • Tertiary predictive models

  4. Measurement • Measuring in area of poultry and pork slaughter and meat production during all the production shift (between subsequent sanitation). • Sampling points: 1–Pork slaughter 2-Cooling tunnel 3-Cooling room for offal 4-Cutting room 5-Packing room 6-Mixing room

  5. Classical count method Change of surface microbial contamination during shift.

  6. Measuring air contamination by aeroscop • Developement of change microbial contamination in the air during shift.

  7. Method detecting total quantity of ATP • Change of surfaces pollution level during shift detecting by bioluminimetre.

  8. Tertiary predictive model • Growth curves for Listeria monocytogenes (nought initial contamination) at 16, 20 a 23 °C • Condition: pH = 7,0; aw = 0,985

  9. Conclusion • Classical count method – expected growth of surface contamination on equipment during shift (8 hours) • Surface microbial contamination at the end of shift – higher about one to two order then after sanitation • ATP-Bioluminiscent – unacknowledged expected increasing amount of ATP on equipment => unsuitable for monitoring of microbial contamination • Air contamination – increasing concentration of microorganisms despite active air changing in produce area propable reason: irregular air flow, deficient providing recommended direction of air flow from „clear“ to „dirty“ part of produce • Tertiary predictive model – comfortable and rapid method for suggesting of maximal lenght productive operation in different condition

  10. Thank you for your attention

More Related