Automated Turbidometry - A Method for Enumeration of Bacteria in Food Samples.

Area of Science:

• Food microbiology
• Analytical chemistry
• Instrumental analysis

Background:

• Accurate bacterial enumeration is crucial for food safety.
• Traditional plate count methods are time-consuming.
• Rapid methods for bacterial quantification are needed.

Purpose of the Study:

• To evaluate the Bioscreen analyzer for determining bacterial counts in cooked foods.
• To correlate turbidometric parameters with traditional plate counts.
• To develop a predictive model for bacterial growth.

Main Methods:

• Bacterial counts in cooked sausages, hamburgers, and French fries were determined.
• The Bioscreen analyzer measured bacterial growth using turbidometric parameters.
• Stepwise regression analysis identified key predictors for bacterial growth.

Main Results:

• Bacterial counts obtained by the Bioscreen analyzer accurately predicted plate count results.
• Turbidometric parameters, particularly detection time, were significant predictors.
• A predictive formula for bacterial growth was successfully developed.

Conclusions:

• The Bioscreen analyzer offers an accurate and efficient method for bacterial enumeration in cooked foods.
• Turbidometric measurements provide a reliable alternative to traditional plating methods.
• Detection time is a key parameter for rapid bacterial growth prediction.