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Sensor Performance Data for AI Bioprocess Modeling

Achieving greater efficiency by analyzing high resolution sensor performance data.

Developing biopharmaceuticals is a highly complex and demanding process with limited room for errors and constant pressure on resources. With the help of artificial intelligence, biotechnology processes can be analyzed more quickly and efficiently, enabling products to be launched on the market faster. The high accuracy SONOFLOW CO.55 V3.0 clamp-on flow meter provides valuable signal and performance data that can be used in AI-driven bioprocess models.

Data for Enhanced Process Stability

By delivering advanced sensor performance data, the ultrasonic flow meter series supports process analytical technology (PAT) initiatives and strengthens quality by design (QbD) strategies. This data enables continuous monitoring of flow as a critical process parameter (CPP), leading to a deeper understanding of the processes and ensuring consistent critical quality attributes (CQAs) across all batches.

Thus, SONOFLOW CO.55 V3.0 provides valuable sensor data for machine learning and advanced data analytics. Patterns in signal quality and acoustic properties help to detect and identify process deviations. This extra insight helps improve process stability, increase consistency in GMP production, and accelerate the development of data-driven bioprocesses.

Non-Contact Ultrasonic Flow Meter SONOFLOW CO.55 V3.0 Series

In which areas can sensor data be used for AI models?

  • Media and buffer preparation
    Monitoring of flow data and changes of the acoustic properties of the medium for consistent formulation.
  • Cell culture and fermentation
    Early detection of process deviations due to fluctuations in speed of sound or signal intensity.
  • Downstream processing
    Verification of liquid transfers and filtration steps to ensure reproducible yield and purity.
  • Single-use systems
    Reliable, non-invasive flow monitoring to support PAT-driven process intensification.
  • Calibration and validation framework
    Integration into automated control loops for CPP verification and CQA assurance.

Examples: Sensor Data as Indicator for Process Deviations

Beyond flow measurement, ultrasonic clamp-on sensors provide additional signal data that reflect changes in the physical properties of the process medium. The examples below illustrate how these parameters can reveal process deviations or changes in the medium composition.

Benefit from Our Clamp-On Flow Meters

More Information about Ultrasonic Flow Meters

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SONOTEC US Inc.

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SONOTEC US Inc.
10 Newton Pl., Ste. 100
Hauppauge, New York 11788