Empirical Models for Predicting Storability of Stored Produce - Musliu Olushola, Sunmonu;Chukwu, Ogbonnaya;Zinash, Osunde
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Mathematical models (using Essential regression software package) were developed to predict the weight, beta carotene, vitamin C, vitamin E and lycopene contents of the stored produce at various conditions considered in the study.The mathematical models developed are reasonably accurate to predict the storability of fruits and vegetables in passive evaporative cooling structures. Also, the model performance was found to be satisfactory and show good predictability. The information on the optimization analysis also provides critical values of the process parameters for selecting optimum nutritional values of stored produce.…mehr

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Produktbeschreibung
Mathematical models (using Essential regression software package) were developed to predict the weight, beta carotene, vitamin C, vitamin E and lycopene contents of the stored produce at various conditions considered in the study.The mathematical models developed are reasonably accurate to predict the storability of fruits and vegetables in passive evaporative cooling structures. Also, the model performance was found to be satisfactory and show good predictability. The information on the optimization analysis also provides critical values of the process parameters for selecting optimum nutritional values of stored produce.
Autorenporträt
Engineer Dr. Musliu Olushola Sunmonu, born on 1st December, 1975 is a storage and process Engineer whose research interest is in the area of design and development of post-harvest technologies and modeling of post-harvest systems. He had His all his degrees from the federal university of technology, Minna, Nigeria.