PT  - JOURNAL ARTICLE
AU  - Kaesler, I.
AU  - Haake, G.
AU  - Hennig, H.
AU  - Rosenhagen, A.
AU  - Meltzer, T. H.
AU  - Jornitz, M. W.
TI  - The Importance of Accurate Microorganism Identification in Microbial Challenge Tests of Membrane Filters—Part I
DP  - 2011 Mar 01
TA  - PDA Journal of Pharmaceutical Science and Technology
PG  - 92--99
VI  - 65
IP  - 2
4099  - http://journal.pda.org/content/65/2/92.short
4100  - http://journal.pda.org/content/65/2/92.full
SO  - PDA J Pharm Sci Technol2011 Mar 01; 65
AB  - Microbial challenge testing is a common procedure to determine the retention efficiency, performance, and validity of a sterilizing-grade filter. The ASTM 838-05 standard describes a bacteria challenge test procedure based on Brevundimonas diminuta (ATCC 19146), routinely used to verify a 0.2 μm rated sterilizing-grade filter. Process validation procedures most often also utilize B. diminuta (ATCC 19146), but instead of the standard procedures and fluids, process, and product parameters are employed to determine whether these parameters influence the retentivity of the filter or changes to the challenge organism, which might result in the penetration of the filter. In certain instances, the native bioburden within the drug manufacturing process is used to perform such process validation challenge tests. Filter penetrations can happen and cause concern; therefore, it is essential to identify the organism species with accuracy to avoid unnecessary confusion. This paper and its follow-up will describe such imprecision and the resulting misconceptions. It will clarify past determinations and put perspective on the findings. LAY ABSTRACT: Sterilizing-grade filters are used to remove microorganisms from biopharmaceutical solutions. To determine the retention performance of such filters, bacteria challenge tests are utilized, often with a standard challenge organism (Brevundimonas diminuta), in instances with native bioburden. The accuracy of the microorganism identification is of importance to avoid flawed results and misinterpretation of the filter's performance.