Optimization of Extraction Conditions and Design of Extraction the Technology of Lycopene from Strawberry

Abstract

Based on the understanding of lycopene extraction technology at home and abroad, strawberry was taken as the research object. After the fruit was grouped and treated, acetone was used as the organic solvent for strawberry pretreatment. Lycopene has the maximum absorption peak at the wavelength of 472nm, so all the following tests are carried out under this wavelength. Firstly, the single-factor experiment was used to determine the data range of each of the four single factors that were beneficial to improve the extraction amount of lycopene in strawberries in different extraction temperatures, solvent amount, extraction time, and different extraction acid-base environment. After the completion of the single-factor experiment, the central group and the experiment were designed based on the experimental results. Then combined with the response surface analysis method, the above four conditions affecting the extraction rate of lycopene in strawberries were comprehensively analyzed. The results of the single-factor experiment showed that the extraction rate of lycopene reached the maximum when the solid-liquid ratio was 4:1, the extraction temperature was 40℃, the extraction time was 40min, and pH=5. The single factor of solvent removal was determined according to the effect of the single-factor experiment. The effects of extraction temperature, time, and pH value on the extraction efficiency of lycopene were investigated by response surface analysis with 3 factors and 3 levels, and the extraction process was optimized with absorbance as the corresponding value. Combined with response surface analysis, the extraction rate of lycopene was used as the experimental index, and the obtained quadratic multinomial mathematical model was analyzed by using Design-expert 7.0 software, and the best extraction process parameters of lycopene were determined as follows: The extraction temperature was 36℃, the extraction time was 49min, and the pH was 4. Under these conditions, the predicted value of lycopene content was 225.5mg/100g, and the actual measured value was 224.5mg/100g. In the empirical experiment, the relative error between the prediction results and the measured results is 0.433%, which has high reliability, indicating that the established mathematical regression model can accurately predict the extraction rate of lycopene within a certain range.