Microbial analysis of commercially available US Queso Fresco

Maxwell J Holle1, Luis A Ibarra-Sánchez1, Xiaoji Liu1

  • 1Department of Food Science and Human Nutrition, University of Illinois Urbana-Champaign, Urbana 61801.

Insights

Queso Fresco (QF) brands showed similar physical properties but varied microbial communities. Despite no initial Listeria monocytogenes, all QF supported significant Listeria growth, indicating potential safety concerns for this popular cheese.

Area of Science:

  • Food Microbiology
  • Food Safety
  • Bacteriology

Background:

  • Queso Fresco (QF) is frequently linked to Listeria monocytogenes outbreaks.
  • QF's high pH, moisture, and salt tolerance contribute to its susceptibility to bacterial contamination.
  • Understanding brand-specific microbial variations is crucial for assessing food safety risks.

Purpose of the Study:

  • To analyze the microbial profiles and physicochemical properties of different US Queso Fresco brands.
  • To evaluate the influence of brand-specific characteristics on Listeria monocytogenes growth.
  • To investigate the potential for using microbial community analysis for quality control.

Main Methods:

  • Physicochemical analysis (pH, salt, moisture) of nine QF brands.
  • Microbial enumeration (yeasts, molds, coliforms, lactic acid bacteria, L. monocytogenes).
  • Inoculation studies with L. monocytogenes and 16S rDNA-based microbial community analysis.

Main Results:

  • Minimal variation in pH, salt, and moisture content across QF brands.
  • Listeria monocytogenes was not detected initially, but significant growth occurred post-inoculation in all brands.
  • Distinct microbial genus profiles were observed within brands, suggesting brand-specific microbial ecosystems.

Conclusions:

  • Despite uniform physicochemical properties, Queso Fresco brands harbor unique microbial communities.
  • All tested QF supported substantial Listeria monocytogenes growth, highlighting a potential food safety vulnerability.
  • Microbial community profiling offers a promising tool for quality control and consistency assessment in QF production.

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