In-line Analytical Measurements and Automated Maintenance
In-line analytics in pharmaceutical manufacturing can significantly increase process reliability, production consistency and help in ensuring high product quality.
This collection of application notes provides an overview of the in-line analyses of conductivity and turbidity, which are vital parameters in improving and tracking the chemical manufacturing process of many Active Pharmaceutical Ingredients (APIs).
Our sensors for in-line conductivity measurement can be used for separator operation and control, based on tracking one or more pre-established conductivity values. METTLER TOLEDO's inductive conductivity sensors are free of polarization effects, can be used in very corrosive liquid solutions and measurements are unaffected by coating build-up on the sensor body.
To identify cloud point and track crystallization, backscatter-type turbidity sensors offer high linearity and therefore greater process control compared with absorption-type probes. They are also very easy to install.
See how our portfolio of sensors can help increase productivity, process reliability and batch to batch consistency.
The application collection highlights:
- Inductive Conductivity to Improve Separation of APIs and Intermediates: Inductive conductivity sensors are ideal in phase separation as they can be used in very corrosive solutions, are not affected by coating building up on the sensor body and do not suffer from polarization effects.
- Using Conductivity to Validate Cleanliness of Tanks for Manufacturing APIs or Intermediates: In CIP monitoring, inductive conductivity sensors provide excellent service as they measure accurately in very high conductivity levels and are not affected by coatings that foul traditional contacting conductivity sensors.
- Turbidity Measurement to Track Aspirin Crystal Formation: Backscatter turbidity sensors are more suited to tracking crystal formation that absorption instruments, as their signal is far more linear as crystallization progresses.