Journal
FOODS
Volume 10, Issue 3, Pages -Publisher
MDPI
DOI: 10.3390/foods10030576
Keywords
milk coagulation; front-face fluorescence; rheology; Berridge testing; Rhizomusor Myhea
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Funding
- European Commission [H2020-MSCA-ITN-2018-813680]
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The study introduces a novel front-face fluorimeter (FFF) that can determine the cutting time of cheese curd without destroying the sample. The sensor signal corresponds to physical changes in milk during cheese formation and shows high predictive power and good accuracy. The performance of the presented fluorimeter is comparable to standard rheological and Berridge methods.
The yield of product (cheese) during the cheese-making process depends on the cutting time of the cheese curd. However, the determination of optimal cutting time on an industrial scale is difficult as current standard methods are destructive or analyse only small volumes and not the entire milk to be curdled into cheese. This paper presents a novel front-face fluorimeter (FFF) that is designed to be immersed into a milk batch to enable the determination of the cutting time of cheese curd without the destruction of the sample. The FFF sensor signal corresponds to physical changes in milk during cheese formation and has high predictive power (r > 0.85) and good accuracy (RSE = 30%, considering daily variation between milk samples). The performance of the presented fluorimeter was on par with standard rheological and Berridge methods.
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