title: New Approach for Setting a Management Criterion in Microbiological Monitoring Using Rapid Microbiological Methods.
abstract: The application of rapid microbiological methods (RMM) to bacterial monitoring in pharmaceutical manufacturing processes is now a key topic, since timely microbiological data are critical for product release, continuous process improvement and quality control. An automated, highly sensitive detection system has been developed which can measure the amount of ATP in a sample in 2 h with one hundredfold more sensitive than the conventional ATP method. One of the major subjects for adoption and implementation of RMM is how to set the criterion value for practical microbial control. This value was conventionally been set by experimental rule and indicated as the number of colonies counted after incubation in a particular medium. We have adopted a new approach to set a criterion value which enables assessment in whether the status of the object is normal or not. By setting this criterion value, it is possible to conduct the microbiological control with the intended probability of false-positive and false-negative. In this approach the probability distribution model of the measurement value of each object in a normal status has been established by performing repetitive measurement of each object. We have suggested and verified the probability distribution form of the ATP measurement value using measurement data of the standard bacterial solution of Staphylococcus aureus. The theoretical value of the model was in good agreement with the actual measured value. The results suggest it is possible to set an applicable management criterion value using this model and to conduct new microbiological monitoring using RMM.
authors.affiliation: Air Conditioning & Plant Engineering Systems Department, Matsudo Research Center, Hitachi, Ltd., Infrastructure Systems Company.
authors.forename: Noe
authors.initials: N
authors.lastname: Miyashita
authors.forename: Makoto
authors.initials: M
authors.lastname: Tanaka
authors.forename: Ryusuke
authors.initials: R
authors.lastname: Gotoda
mesh_terms: D000255:Adenosine Triphosphate / Q000378:metabolism*; D004340:Drug Contamination / Q000517:prevention & control; D004345:Drug Industry / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D012016:Reference Values; D013203:Staphylococcal Infections / Q000382:microbiology*; D013211:Staphylococcus aureus / Q000254:growth & development* / Q000378:metabolism
chemical_list: D000255:Adenosine Triphosphate