Reflectronics' Precision Sensors for Smarter Dairy Processing

Inconsistent curd cutting and unnoticed protein loss cost dairy processors time, yield, and profit. Reflectronics' optical sensors provide real-time, inline monitoring of coagulation and true protein; helping you automate production, reduce waste, and maximize efficiency.


OUR MILK COAGULATION SENSORS   OUR PROTEIN MEASUREMENT SENSORS
Since 1993
Over 500 CoAguLite Sensors Installed
True Protein Measurement

Our Products

FluorLite Protein Meter
The bench scale FluorLite Protein Meter measures the fluorescence of the amino acid tryptophan in dairy proteins and relates measured fluorescence to protein concentration

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CoAguLite Cutting Time Control Technology
The CoAguLite Cutting Time Control Technology measures the enzymatic coagulation of milk for cheese making and can automate the cutting time selection to the cheesemaker’s desired gel firmness

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FluorLite-LX
The inline FluorLite-LX sensor measures the fluorescence of the amino acid tryptophan in dairy proteins and relates the measured fluorescence to protein concentration

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Our Technology In Action

The CoAguLite sensor response shows the measurement of the infrared response as red line and the calculated slope as black line. Coagulation begins at time zero when enzyme is added to the vat.  The enzymatic, agglomeration and gel firming phases are distinguishable on the graph. The Enzyme Addition Confirmed signal is the first signal generated. The Maximum Slope occurs at the process time of 18.0 minutes. This time is used with a prediction equation to determine Predicted Cut Time.
The FluorLite-MC sensor contains the infrared signal of the CoAguLite (Red line) plus a fluorescence signal (Blue line). The fluorescence signal gives no meaningful signal until the beginning of gel firming when the fluorescence signal begins to drop rapidly. There are two time parameters determined with this sensor: the infrared Maximum Slope and the fluorescent Minimum Slope. These two time parameters are used with a prediction equation to determine Predicted Cut Time.