Empirical Models for Predicting Storability of Stored Produce
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Sunmonu Musliu Olushola , Ogbonnaya Chukwu , Osunde Zinash
- 2014, 344 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 365910955X
- ISBN-13: 9783659109553
Sprache:
Englisch
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