A Statistical Approach to Blend Uniformity Acceptance Criteria

Abstract

Recent Food and Drug Administration (FDA) validation guidelines and comments indicate that applying finished product content uniformity specifications to blend testing is unacceptable. The scenario the FDA has presented is one in which disorder increases as the process progresses so that blend test specifications should be more restrictive (tighter) than finished product testing specifications. In other publications, it has been suggested that finished product assay limits be applied as a blend specification along with a lower relative standard deviation value than the current USP content uniformity limit (6.0%). This approach is questionable since assay results are applied to an aggregate finished product sample rather than individual doses. A method is presented in this paper for applying statistical tolerance limits (Sib) to blend data. This procedure provides a 95% confidence level that at least 90% of the values for the entire population are within the calculated limits. These statistical tolerance limits provide an acceptable criterion that is statistically tighter than the application of USP XXIII finished product content uniformity specifications. In addition, this method involves a decision process or multiple-level evaluation based on a statistical comparison of the variance and mean for the blend and finished product. In cases where the calculated STLs are unacceptable, the decision process allows for determining if the out-of-specification values from the first level of testing are due to a true blend failure or if the cause of the aberration is due to other phenomena, which could include sampling technique, thief design, and analytical testing problems.