PT  - JOURNAL ARTICLE
AU  - Hei, Mingyang
AU  - She, Qingqing
AU  - Chen, Quanmin
AU  - Jin, Zhaowei
AU  - Sun, Chunmeng
AU  - Tu, Jiasheng
AU  - Guo, Jeremy
TI  - A Holistic Approach for Filling Volume Variability Evaluation and Control with Statistical Tool
AID  - 10.5731/pdajpst.2023.012867
DP  - 2025 Mar 01
TA  - PDA Journal of Pharmaceutical Science and Technology
PG  - 157--169
VI  - 79
IP  - 2
4099  - http://journal.pda.org/content/79/2/157.short
4100  - http://journal.pda.org/content/79/2/157.full
SO  - PDA J Pharm Sci Technol2025 Mar 01; 79
AB  - Vial and syringe filling by peristaltic pump has been widely implemented by contract manufacturing organizations and biopharmaceutical companies. Filling volume is commonly considered a critical quality attribute related to the aseptic filling process, and the variation needs to be well controlled to guarantee the safety, efficacy, and consistency of drug products. However, the criteria for justifying the filling variation and underlying mechanisms that affect the variability are not fully revealed quantitatively in the literatures. This study selected filling accuracy, filling process capability, and filling precision as three criteria for evaluating the filling process performance with four statistical indexes: Relative Error Mean, Critical Control Limit (Cpk ≥ 1.33), Relative Standard Deviation, and Relative Moving Range Mean. The impact of liquid properties, pump tubing sizes, and pump settings on these indexes was investigated using a bench-top system with a peristatic pump and a high-precision balance. The results showed that the viscosity, target filling volume, pump tubing size, pump speed, acceleration/deceleration rate, and suck-back had a statistically significant influence on the filling volume variability. Definitive Screening Design was further applied to clarify and visualize the priorities and interaction impact of these factors on filling volume variability. A stepwise approach for filling volume variability optimization and control based on predictive models was established and verified for drug product solution with viscosity between 1–23 cp and target filling volume between 0.2–2.0 mL.