Extensive Dataset for Peristaltic Pump Accuracy Enhancement in Pharmaceutical Environments

Area of Science:

• Pharmaceutical Manufacturing
• Biomedical Engineering
• Data Science

Background:

• Accurate liquid dosing is critical in pharmaceutical manufacturing for drug quality and patient safety.
• Peristaltic pumps are widely used, but their dosing accuracy across a broad volume range requires comprehensive documentation.
• Existing datasets may not capture the full spectrum of peristaltic pump performance under manufacturing conditions.

Purpose of the Study:

• To provide a comprehensive dataset of peristaltic pump dosing outputs for pharmaceutical manufacturing.
• To enable detailed investigation of pump precision, stability, and behavior across volumes from 0.1 to 2.0 ml.
• To document the impact of statistical and AI-based compensation strategies on dosing accuracy.

Main Methods:

• Acquisition of 149,847 peristaltic pump dosing measurements using an industrial filling system.
• Data collection under controlled conditions with calibrated weighing equipment.
• Inclusion of data on compensation strategy outcomes across multiple volumes.

Main Results:

• The dataset represents the first documentation of peristaltic pump behavior across volumes from 0.1 to 2.0 ml.
• Detailed insights into short-term precision and long-term stability of pump performance are provided.
• The influence of compensation strategies on dosing accuracy is exemplified.

Conclusions:

• This dataset serves as a valuable resource for the pharmaceutical industry to optimize quality control.
• It supports the validation of novel compensation strategies for enhanced dosing accuracy.
• The findings contribute to improving drug quality and patient safety through precise pharmaceutical manufacturing.