Industrial production of lycopene and β-carotene from tomatoes appears to be in highly demand in recent years by food industry and pharmaceutical companies for the development of functional foods. In this paper, a novel neuro-fuzzy model is first proposed to model the supercritical CO2 extraction of lycopene and β-carotene from tomato paste waste by considering several process parameters. It can help to achieve the optimal control, and to develop a simulation and auto-control system for quality assurance in the industrial production. The effectiveness of the proposed model is demonstrated by simulation study.
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