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Full-Text Articles in Food Science
Monitoring Yogurt Culture Fermentation And Predicting Fermentation Endpoint With Fluorescence Spectroscopy, Timothey P. Mains, Frederick Alan Payne, Michael P. Sama
Monitoring Yogurt Culture Fermentation And Predicting Fermentation Endpoint With Fluorescence Spectroscopy, Timothey P. Mains, Frederick Alan Payne, Michael P. Sama
Biosystems and Agricultural Engineering Faculty Publications
Determination of the endpoint of yogurt culture fermentation is a process parameter that could benefit from automation. The feasibility of using a fluorescence sensor technology based on 280 nm excitation and 350 nm emission to predict the endpoint of yogurt culture fermentation was investigated and compared with the endpoint prediction from a near-infrared (880 nm) light backscatter sensor. Yogurt cultures with three levels of milk solids (8%, 10%, and 12%) and three temperatures (40°C, 43°C, and 46°C) were tested with three replications in a 3 x 3 factorial design (n = 27). Prediction models were developed for each optical measurement …
Light Backscatter Of Milk Products For Transition Sensing Using Optical Fibers, Frederick A. Payne, Czarena L. Crofcheck, Sue E. Nokes, Klat C. Kang
Light Backscatter Of Milk Products For Transition Sensing Using Optical Fibers, Frederick A. Payne, Czarena L. Crofcheck, Sue E. Nokes, Klat C. Kang
Biosystems and Agricultural Engineering Faculty Publications
Transition sensors are needed, particularly in the dairy industry, for detecting transitions in pipe flow systems from product-to-water or product-to-product (such as from chocolate to vanilla ice cream mix). Transition information is used to automatically sequence valves to minimize product waste. Optical fibers were used to measure light backscatter between 400 and 950 nm as a function of milk concentration in water and milkfat concentration in milk. The normalized response (100% for product and 0% for water) as a function of product concentration in water was approximately logarithmic for skim milk between 400 and 900 nm and approximately linear for …
Predicting The Cutting Time Of Cottage Cheese Using Backscatter Measurements, Czarena L. Crofcheck, Frederick A. Payne, Sue E. Nokes
Predicting The Cutting Time Of Cottage Cheese Using Backscatter Measurements, Czarena L. Crofcheck, Frederick A. Payne, Sue E. Nokes
Biosystems and Agricultural Engineering Faculty Publications
An automated system for monitoring culture growth and determining coagulum cutting time is needed for cottage cheese manufacturing. A light backscatter measurement system was designed and installed in a local cottage cheese manufacturing plant. A cutting time prediction algorithm was developed using parameters generated from the backscatter profile. The cutting time prediction algorithm, Tcut = Tmax + β2 S, used two time-based parameters generated from the backscatter profile (Tmax and S) and one operator selected parameter, β2, to predict the coagulum cutting time, Tcut. The standard error of prediction for the algorithm was 6.4 …