OR WAIT null SECS
April 02, 2006
Performing D-value and population verification is critical in the acceptance criteria for allowing a new lot of biological indicators into a facility before acceptance and use of the lot in validation work or routine monitoring of sterilization cycles.
Cell-culture technology and financial incentives give influenza vaccine makers a much-needed shot in the arm, but many downstream processing issues remain unaddressed.
March 02, 2006
Adding a cleaning step to the field-testing protocol, and combining it with the data generated to register sanitizing and disinfectant agents under FIFRA and the CEN TC 216 work program, produces a sanitation-and-disinfection validation methodology that is cost-effective, simple, and time-saving.
Analytical tools and methods that require less water and detergent are gaining interest for faster, more efficient cleaning.
The authors encourage the investigation into whether the occurrence of grow-through and the diminution in the size of certain organisms when in contact with given liquids are the same phenomenon manifested under different circumstances.
Because of the growing popularity of single-use materials, the identification, characterization, and qualification of new materials used for disposable processes have become increasingly important for both regulatory and production purposes. This article describes one approach to identifying and validating the materials used in a disposable filling process.
March 01, 2006
Clean rooms are areas in which it is essential that microorganisms are not allowed to proliferate because they could contaminate pharmaceuticals and directly affect human health.
November 02, 2005
The authors present a new approach to risk assessment for aseptic processing that emphasizes the contributions of personnel.
The authors focus on the effects of cellulosic materials during the performance qualification validation of a transfer barrier isolator used for the purpose of sterility testing.
October 02, 2005
Formulation residue, observer viewing distance, light intensity, viewing angle, observer viewing position, and observer-to-observer variability affect the ability to confirm the cleanliness of manufacturing equipment.