[Formulation and evaluation of a new content uniformity testing scheme by variables]

Area of Science:

• Pharmaceutical Sciences
• Statistical Quality Control
• Analytical Chemistry

Context:

• Ensuring content uniformity in pharmaceutical preparations is critical for drug efficacy and patient safety.
• Traditional testing methods can be resource-intensive, necessitating more efficient approaches.
• Variability in active ingredient content within dosage units requires robust statistical evaluation.

Purpose:

• To develop and present a novel content uniformity testing scheme utilizing variables for pharmaceutical preparations.
• To statistically define a sampling zone that optimizes accuracy and minimizes sample size.
• To establish a practical and adaptable testing framework for pharmaceutical quality control.

Summary:

• A two-step statistical probability computation defines the locus of (mean, standard deviation) for active ingredient content.
• A double sampling zone is established using two straight lines, balancing accuracy and sample size (n1=10, n=30).
• The scheme incorporates four discriminants based on sample statistics (mean, S), tolerance limits (l), and acceptance defectives (d), with defined parameters (k1-k4).

Impact:

• The new scheme offers improved accuracy, adaptability, and practicability in pharmaceutical content uniformity testing.
• It provides a more efficient method for quality control, potentially reducing testing costs and time.
• Facilitates better regulatory compliance by ensuring consistent drug product quality.