1、 Preparation before operation

Equipment inspection: Confirm that the condenser, vacuum pump, rotating system and other components are intact, the working area is clean, and impurities are avoided from interfering.

Parameter preset: Set parameters such as evaporation temperature, condenser temperature, and rotation speed based on sample characteristics such as thermal sensitivity and viscosity. For example, thermosensitive samples need to be evaporated at low temperatures (≤ 50 ℃), and high viscosity samples need to reduce their rotational speed (20-50rpm) to prevent adhesion.

Sample pretreatment: Control the liquid filling amount to no more than 2/3 of the flask volume to avoid solution overflow during boiling.

2、 Optimization during operation

Temperature and vacuum control:

Temperature gradient: Adopt a stepwise heating method (such as 30 ℃ → 50 ℃ → 70 ℃) to avoid local overheating of the sample.

Vacuum degree adjustment: Slowly evacuate to the target pressure (such as -0.09MPa) to prevent boiling. High boiling point solvents require higher vacuum levels.

Dynamic adjustment of rotation speed:

Initial stage: High speed (100-150rpm) promotes solvent evaporation.

Late concentration stage: Reduce the rotational speed (50-80rpm) to minimize splashing and improve the retention rate of target components.

Real time monitoring and intervention:

Observe the temperature and pressure changes of the solution. If the boiling is too intense, immediately reduce the heating power or adjust the vacuum degree.

Use foam sensor to detect foaming and trigger short time aeration pulse to eliminate foam.

3、 Post operation processing

Natural cooling: After turning off the heating, allow the flask to cool naturally to room temperature before sampling to avoid sample cracking caused by temperature differences.

Data recording: Record concentration time, temperature curve, and target component retention rate to provide a basis for subsequent optimization.

4、 Parameter optimization techniques

Single factor variable experiment: fix other parameters, adjust temperature, vacuum degree, and speed one by one, and determine the range of key parameters.

Orthogonal experimental design: Combining multiple factors (such as temperature x vacuum degree x rotational speed), find the combination through statistical analysis. For example, in the concentration of food additives, optimized parameters can increase the solid content by 15% and reduce energy consumption by 20%.

Application of automation technology: using timers, remote monitoring of applications, or adjusting vacuum levels based on real-time data through dynamic distillation technology to improve efficiency.