(362c) Enhancing Soybean Value through Systematic Economic Evaluation of Isoflavone Extraction Options for Material Syntheses
AIChE Annual Meeting
2020
2020 Virtual AIChE Annual Meeting
Process Development Division
Challenges and Best Practices in Technology Commercialization
Wednesday, November 18, 2020 - 8:30am to 8:45am
Three objectives were devised to accomplish this work. (1) Information on alternative soy isoflavone extraction methods was collected based on proven successes. (2) A generalized extraction framework was developed, which encompasses all the possible cases involving bio-based chemical extraction to minimize cost, environmental impact, waste discharge, and encourage safe design and process operation. (3) The robustness of the commercial-scale extraction framework was tested through a mathematical modeling and optimization approach in programming tools such as General Algebraic Modeling Systems (GAMS).
In Figure 1, we present a superstructure-based optimization framework [15], [16] for designing a commercial-scale soy isoflavones extraction process. This framework includes mathematical models for various separation technologies with details involving mass and energy balances, equipment design and costing. We considered four essential stages of acquiring purified isoflavone from soybean meal, which includes pre-processing, extraction, acid hydrolysis, and purification. Pre-processing is used for particle-size reduction for enhanced product dissolution in the extraction stage. The extraction stage generally includes conventional mixing (TE), holding tank (MC), ultrasonication (SONC), Soxhlet extraction (SXLT), and supercritical fluid extraction (SCF) for removing isoflavone-glucosides from soy. The recovered soy can be recycled back to the animal feed industry without disrupting the existing food chain. The isoflavone-glucosides is then subjected to acid hydrolysis, which effectively removes the natural glucose attached to the isoflavone molecule. A purification stage is used to meet the desired isoflavone purity requirements.
The multiple pathways shown in Figure 1 were compared and optimized simultaneously in GAMS using mathematical models to determine the most economical pathway to extract isoflavone at the commercial scale. The analysis of each model considered material and energy balances, utilities, design options, industrial constraints, and costings. By analyzing alternative options simultaneously, this study shows that commercial-scale soy isoflavones extraction can be viable. Thus, the superstructure optimization framework presented herein is a powerful tool for systematically assessing the viability of commercializing bio-based chemical extraction processes to fulfill the current demands and producing sustainable products.
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