SORPTION OF CO2-EXTRACTS OF SPICES TO THE TOMATO PASTE

Abstract

The possibility of the production of products without the preservatives, the fillers, the chemical, undesirable aromatic substances and other additives is one of the prime advantages of technologies, based on the use of СO2- extraction. There is great theoretical and practical interest in the study of the absorption of СO2- extracts on the tomato carriers with the production of ketchup. There are examined the principles of the optimization of the process of absorbing the СO2- extracts of anise, ginger and amaranth on the tomato paste with the production of ketchup. There are examined the principles of the optimization of the process of absorbing the СO2- extracts of anise, ginger and amaranth on the tomato paste with the production of ketchup. The miscella of the extracts of spices is brought to the tomato paste. This was reached by the selection of СO2- miscella from the extractor under the pressure to 6 MPa. Then solvent due to a pressure decrease in the apparatus to the atmospheric instantly was moved away from the obtained material. The degrees of the absorption of the СO2- extracts of anise, ginger, amaranth and sea buckthorn are determined. Calculations were performed through the program of that composed in medium of the mathematical packet “Of mathCAD 14”. As a result conducted investigations are obtained the equations of regression for absorbing of anise, amaranth and ginger on the tomato paste depending on the concentration of individual extracts in the miscella. The possibilities of the method of complete factor experiment are shown. In the utilized method of the mathematical planning of experiment adapt the dimensionless coded composition factors x1 and x2. In the experiment is realized plan 23. Was used the central composition plan, which corresponds to the requirement of rotatable, i.e., the plan, which makes it possible to obtain the model, capable of predicting the value of the parameter of optimization with the identical accuracy, independent of direction at the equal distances from the center of plan. Under such conditions it is possible to establish the empirical equations of regression, which include linear and nonlinear terms.