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Weight loss in frankfurters during thermal processing.

G S Mittal¹, J L Blaisdell

¹School of Engineering, University of Guelph, Guelph, Ontario, Canada.

|November 8, 2011

Summary

This summary is machine-generated.

A simplified model predicts frankfurter weight loss during thermal processing. Moisture loss depends on product temperature and fat-protein ratio.

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Area of Science:

Food Science
Thermal Processing
Mathematical Modeling

Background:

Understanding weight loss in processed foods is crucial for quality control.
Thermal processing significantly impacts food composition and physical properties.
Predictive models aid in optimizing processing parameters and product development.

Purpose of the Study:

To develop a simplified model for predicting frankfurter weight loss during thermal processing.
To validate the model using experimental data.
To identify key factors influencing moisture loss rate.

Main Methods:

Development of a two-term mathematical model.
Validation of the model with experimental data under various conditions.
Analysis of the relationship between moisture loss rate, temperature, and product composition.

Main Results:

A simplified two-term model accurately predicts frankfurter weight loss.
Moisture loss rate is directly proportional to product temperature.
Moisture loss rate is inversely proportional to the fat-protein ratio of the frankfurter.

Conclusions:

The developed model provides a practical tool for predicting weight loss in frankfurters.
Product temperature and fat-protein ratio are critical determinants of moisture loss during thermal processing.
This research contributes to optimizing thermal processing for frankfurters.