Empirical Model for Predicting Contents of Monoglyceride and Diglyceride during the Synthesis of Acyglycerols by T1 Lipase-Catalyzed Esterification
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Abstract:
Monoglyceride (MAG) and diglyceride (DAG) are a kind of multifunctional additives. They are widely used in food and cosmetic industries. Acylglycerols are synthesized by esterification of glycerol with oleic acid in the presence of T1 lipase. The effects of substrate molar ratio (glycerol: oleic acid), water content, time and temperature on esterification progress were studied. An empirical model for predicting MAG and DAG contents during the synthesis of acylglycerols was proposed. The results showed that MAG content increased first and then slowly decreased with an increase of reaction time, DAG content increased rapidly first and tended to stable during the time increased, while triglyceride (TAG) content exhibited a keep increasing pattern. MAG and DAG contents were hardly influenced by reaction temperature ranging from 40–60 oC. Based on the effects of substrate molar ratio and water content, two empirical models [ErDAG% = 0.5967 × r0.271 × (–1.01Dw + 40.2) and ErMAG% = 0.7422 × r0.366 × (–0.745Dw + 23.7)] were established for predicting MAG and DAG contents, respectively. The results showed that the present models had a good correlation (R2 = 0.99) with the experimental data for predicting MAG and DAG contents. Such data would be valuable for the process control and optimization of the synthesis of acylglycerols.
