Deodorization and steam‐refining parameters have significant impact on the quality of finished oil. Hence, optimization of parameters is critical for the production of acceptable oil. Temperature, time, throughput rate, sparging steam rate and pressure must be optimized to produce edible oil with desirable characteristics. Process optimization modeling in the laboratory, pilot plant and refinery is utilized to obtain predictive equations correlating product characteristics with deodorization parameters and feedstock properties. This optimization technique is demonstrated on model feedstocks and typical commercial oil. Finished corn and soybean oil quality are expressed by tocopherols and free fatty acid levels and sensory attributes during accelerated storage.
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Maza et al. (1992) studied this question.