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dc.contributor.advisorBollard-Breen, Barbara
dc.contributor.advisorBrooks, John
dc.contributor.authorPruckner, Christian
dc.date.accessioned2014-11-10T23:23:49Z
dc.date.available2017-08-07T02:34:38Z
dc.date.copyright2014
dc.date.created2014
dc.identifier.urihttp://hdl.handle.net/10292/7869
dc.description.abstractMicrobiological data analysis and trending in pharmaceutical cleanrooms is a legislative requirement, and part of quality assurance. It has historically been conducted using statistical tools, such as control charting, which lack the geographic component. Three years of environmental monitoring data from the cleanrooms of a pharmaceutical facility were analysed to find cleanrooms with microbiological percentage recovery rate hot spots in the air and surface of the facility. The data set was evaluated to determine if it has changed over the three year period using a χ2 analysis. The cleanroom microflora was analysed to see if it differs among the different cleanroom grades, and potential contamination routes in the cleanrooms were ascertained. Given the lack of published studies that use GIS to perform spatial analysis of microbiological environmental monitoring data, this approach is novel. The research concluded that areas which are highly frequented by personnel (connection corridor, vial washing areas, documenting rooms, and air locks) have higher percentage recovery rates, and some are microbial hot spots. The microbiological percentage recovery rates from air and surface monitoring in some of these and other areas have improved over the three year period, while in some cleanroom areas they have not. The microbial percentage recovery rates from air monitoring have improved more than those from surface monitoring over the three year period. The percentage recovery rates in most cleanrooms, however, have remained stable over the three year period. The microbial distribution within Grade D and the Aseptic Processing Area (cleanroom grades A, A2 and B) during the three year period is very similar in terms of microbial class distribution and microbial species identification. Grade D, however, has a higher percentage of moulds and a lower number of Gram-positive rods without spores compared with the Aseptic Processing Area. The material and personnel flow within the facility is responsible for the majority of microbiological contamination of the cleanrooms. This correlates with the findings of the literature review.en_NZ
dc.language.isoenen_NZ
dc.publisherAuckland University of Technology
dc.subjectPharmaceutical manufacturingen_NZ
dc.subjectGISen_NZ
dc.subjectMicrobiological data analysisen_NZ
dc.subjectAreas in the manufacturing cleanroom facility with higher air and surface microbial countsen_NZ
dc.subjectMicrobiological flora associated to certain cleanroom areasen_NZ
dc.subjectContamination routes in the cleanroomsen_NZ
dc.titleGeographical Information System for Spatial Microbiological Data Analysis in Pharmaceutical Manufacturingen_NZ
dc.typeThesis
thesis.degree.grantorAuckland University of Technology
thesis.degree.levelMasters Theses
thesis.degree.nameMaster of Applied Scienceen_NZ
thesis.degree.discipline
dc.rights.accessrightsOpenAccess
dc.date.updated2014-11-10T10:11:37Z


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