Optimization of rapeseed oil degumming and deodorization process
To provide a reference for the moderate refining of rapeseed oil,crude rapeseed oil(693.00 mg/kg of phosphorus)was used as raw material,PLA,was used for pre-degumming,and then PLC was used for re-degumming,and the degummed oil was deodorized by low-temperature short-term two-stage capture reflux deodorization process.The PLAA,pre-degumming process was optimized by single factor experiment and response surface methodology with phosphorus content as index.The deodorization process was optimized by single factor experiment and orthogonal experiment with tocopherol loss rate as index.In addition,the effects of different degumming methods(PLA1-PLC composite degumming,PLC degumming,hydration degumming)and different deodorization processes(low-temperature short-term two-stage capture reflux deodorization process and conventional deodorization process)were compared.The results showed that the optimal process conditions for PLA1 pre-degumming were as follows:citric acid(45 g/100 mL)dosage 3.3 mL/kg,PLA1(10 U/mL)dosage 44.0 mL/kg,degumming temperature 54.0 ℃,and degumming time 1.4 h.Under the optimal conditions,the phosphorus content of PLA,-PLC composite degummed rapeseed oil decreased(99.01±0.05)％compared with crude rapeseed oil.Compared with other degumming methods,PLA,-PLC composite degumming method had higher degumming efficiency.The optimal deodorization conditions were deodorization temperature 220 ℃ and deodorization time 80 min.Under the optimal conditions,the tocopherol loss rate was less than 10％,and the relative content of each tocopherol monomer remained basically unchanged.Compared with the conventional deodorization process,the low-temperature short-term two-stage capture reflux deodorization process had the advantages of low energy consumption and low tocopherol loss rate.In summary,the PLA1-PLC composite degumming and low-temperature short-term two-stage capture reflux deodorization processes can improve the quality of rapeseed oil and have a good market application prospect.
万方数据
维普
