Fluorescence-Based Milk Coagulation Cutting Time Prediction
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Solution Overview
Problem
Existing methods for predicting the cutting time of a milk coagulum in cheese making are inaccurate under variable processing conditions due to inconsistent coagulating properties and require frequent recalibrations, especially when different protein sources with varying enzyme reactivity are used, and the determination of the enzyme addition time is challenging in industrial settings.
Innovation Solution
A method that generates time parameters from fluorescence response changes, including normalization and derivative calculations, to predict the cutting time of a milk coagulum, independent of the enzyme addition time, using a cutting time prediction equation that can be calibrated based on product characteristics and time delays, allowing for more precise and consistent predictions across different conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light backscatter technology is used to predict cutting time, then cutting time prediction is accurate when milk has consistent coagulating properties, but the system requires frequent recalibrations when coagulating properties vary due to different protein sources
Solution Approach 1:
The patent changes the measurement parameter from light backscatter to fluorescence emission. Fluorescence measurements detect the formation of the K-casein matrix through intrinsic fluorescence of tryptophan residues, providing accurate cutting time predictions across different protein sources without requiring recalibration. This parameter change resolves the contradiction by maintaining measurement precision while improving adaptability to varying coagulating properties.
2Measurement precision
If light backscatter measurements are used, then cutting time can be predicted, but the method requires precise knowledge of enzyme addition time which is challenging to determine in industrial settings
Solution Approach 1:
The patent extracts the fluorescence signal characteristic that inherently marks the start of coagulation (when fluorescence begins to decrease due to tryptophan burial in the forming gel matrix). This eliminates the need to separately measure and record enzyme addition time, as the fluorescence curve itself provides the reference point. The method takes out the dependency on external timing measurements while maintaining prediction accuracy.
3Ease of operation
If cutting is performed based on fixed time schedules, then the process is simple to operate, but coagulum strength varies due to inconsistent coagulating properties
Solution Approach 1:
The patent implements feedback by continuously monitoring fluorescence emissions during coagulation and using real-time data to determine the optimal cutting time. The system calculates the rate of change of fluorescence and identifies the endpoint based on actual coagulum formation progress rather than fixed schedules. This feedback mechanism maintains ease of operation through automated detection while ensuring consistent coagulum strength by adapting to actual process conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides more accurate and consistent predictions of the cutting time, reducing the need for frequent recalibrations and eliminating the requirement for precise enzyme addition time measurement, resulting in improved cheese quality and yield by utilizing time parameters closer to the endpoint of the coagulation process.
Implementation Method 1
measuring with a fluorescence sensor a change in fluorescence emissions from the coagulating milk sample
Implementation Method 2
measuring with an infrared light backscatter sensor a change in light backscatter from the coagulating milk sample
Implementation Method 3
The hydrolysis of K-casein leads to destabilization of the colloidal system of the milk
Implementation Method 4
aggregation of the micelles into clusters
Data Source
AI summary
The present invention relates to a method of predicting the cutting-time of coagulating milk based upon time parameters generated from fluorescence measurements. The method includes the steps of (a) measuring a change in the fluorescence response of coagulating milk, (b) generating time parameters from the fluorescence response, and (c) using time parameters and a cutting time prediction equation to predict cutting time. Additionally, an additional method is provided for determining a cutting time prediction equation by regression analysis.


