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Small-scale manufacture of process cheese using a rapid visco analyzer
1MN-SD Dairy Foods Research Center, Department of Food Science and Nutrition, University of Minnesota, St. Paul 55108, USA.
Journal of Dairy Science
|September 16, 2005
Summary
Adjustments to the rapid visco analyzer (RVA) method improved small-scale process cheese production. The modified RVA accurately predicts functional properties, matching pilot-scale results for process cheese food (PCF).
Area of Science:
- Food Science and Technology
- Dairy Processing
- Rheology
Background:
- Numerous formulation and processing parameters significantly influence the functional properties of process cheese.
- A recently developed small-scale rapid visco analyzer (RVA) method for process cheese analysis showed functional property differences compared to pilot-scale manufacturing.
- Significant discrepancies existed between small-scale RVA and pilot-scale manufacturing of process cheese functional properties.
Purpose of the Study:
- To investigate adjustments in the RVA methodology for small-scale process cheese manufacturing and analysis.
- To improve the correlation between small-scale RVA-produced process cheese and pilot-scale manufactured process cheese.
- To validate the RVA as a tool for predicting process cheese functional properties and evaluating formulation/processing effects.
Main Methods:
- Fourteen pasteurized processed cheese food (PCF) samples were manufactured from 14 different natural cheese preblends, balanced for moisture, fat, and salt.
- Each preblend was divided into three portions for manufacturing: one pilot-scale Blentech twin screw (BTS) cooker batch and two RVA batches with different processing profiles.
- PCF samples were analyzed for moisture, functional properties (texture profile analysis, RVA melt analysis), time of emulsification, and end apparent viscosity.
Main Results:
- The functional properties of PCF manufactured using the adjusted RVA treatments showed good correlation with pilot-scale produced PCF.
- End apparent viscosity during RVA manufacture was found to correlate with the final functional properties of the process cheese.
- The adjusted RVA methodology successfully produced process cheese with functionality similar to that produced in the pilot-scale BTS cooker.
Conclusions:
- The RVA, with adjusted methodology, can serve as a reliable small-scale tool for predicting process cheese functional properties.
- This method allows for effective evaluation of how various formulations and processing parameters impact process cheese functionality.
- The refined RVA technique bridges the gap between small-scale analysis and pilot-scale production, ensuring comparable results.

