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Bioresource and Agricultural Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Life Sciences

2016

Sensor

Articles 1 - 2 of 2

Full-Text Articles in Bioresource and Agricultural Engineering

Nozzle Sensor For In-System Chemical Concentration Monitoring, Joseph S. Dvorak, Timothy S. Stombaugh, Yongbo Wan Jan 2016

Nozzle Sensor For In-System Chemical Concentration Monitoring, Joseph S. Dvorak, Timothy S. Stombaugh, Yongbo Wan

Biosystems and Agricultural Engineering Faculty Publications

Chemical concentration is a vital parameter for determining appropriate chemical application. This study describes the design and testing of a sensor that attempted to monitor concentration of chemicals upstream from each nozzle body. The sensor is based on an LED and photodiode pair. Its ability to detect chemical concentration within the main carrier was tested with a 2,4-D formulation, a glyphosate formulation, and a powdered Acid Blue 9 dye. The liquid herbicide formulations of glyphosate and 2,4-D were tested across common application concentrations of 0% to 12.5% by volume. The powdered dye produced a much stronger effect on the sensor …


Monitoring Yogurt Culture Fermentation And Predicting Fermentation Endpoint With Fluorescence Spectroscopy, Timothey P. Mains, Frederick Alan Payne, Michael P. Sama Jan 2016

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 …