Ultrasound as an effective technique to reduce higher alcohols of wines and its influencing mechanism investigation by employing a model wine.

In this paper, in order to investigate the effects of ultrasound irradiation on the higher alcohols of wines, the parameters including ultrasound time, temperature and power were optimized by the response surface methodology, and the model wine solution was employed to explore the mechanism of ultrasonically decreasing the higher alcohols. The results indicate that the maximum decreasing of higher alcohols could be obtained under the ultrasound conditions of 30 min, 30 °C and 150 W, and the final content was 306.75 mg/L with the reduction rate of 40.

Optimization of ultrasound parameters and its effect on the properties of the activity of beta-glucosidase in apricot kernels.

In this paper, ultrasound was used as an auxiliary tool to activate the activity of beta-glucosidase (beta-GC) in apricot kernels, and its parameters were optimized to evaluate the effects on the beta-GC activity with the response surface methodology (RSM), variables including ultrasonic time, temperature, power and frequency. The results indicate that the obtained quadratic regression model could simulate the actual conditions, and the optimum conditions were as follows: exposure time of 31 min, temperature 50 °C, power 225 W and frequency 28 kHz, and the activity of beta-GC achieved 3.64 × 105 U/g·apricot kernel (dry weight), having an increase of 34.

[Drying Process and Model of Banqiao Codonopsis Radix Slice in Air-impingement Jet Dryer].

Objective: To determine the drying process and to built model of Banqiao Codonopsis Radix slices dried in air-impingement jet dryer.

Methods: With taking the content of polysaccharides( CPPS),rehydration ratio( RR) and drying time as the evaluation indexes,the effects of drying temperature( 40,50,60 and 70 ℃),slices thickness( 1,2,3 and 4 mm) and air velocity( 8,10,12,and 14 m / s) on the content of CPPS,RR and drying time were studied. With taking the R2,χ2and RMSE as the evaluation indexes,the optimum model was screened by fitting the drying curves data with four selected models.