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Eur J Hosp Pharm ; 27(e1): e63-e68, 2020 03.
Article in English | MEDLINE | ID: mdl-32296508

ABSTRACT

Objectives: To design and execute a comprehensive microbiological validation protocol to assess a brand-new sterile compounding robot in a hospital pharmacy environment, according to ISO and EU GMP standards. Methods: Qualification of the Class-A inner environment of the robot was performed through microbial air and surface quality assessment utilising contact plates, swabs and particulate matter monitoring. To evaluate the effectiveness of the microbial decontamination process (UV rays) challenge test against Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus subtilis spores and Candida albicans was used. The challenge Media Fill test was used to validate the aseptic processing. Results: After 3 hours, no microorganisms retained viability. Monitoring inside the equipment evidenced complete absence of microorganisms. The Media Fill test was always negative. Conclusions: According to our results, the APOTECAunit meets the requirements for advanced aseptic processing in the hospital pharmacies and the pharmaceutical industry in general, providing advantages in terms of safety for patients compared with conventional procedures of parenteral preparation production. The protocol has demonstrated to be a comprehensive and valuable tool in validating, from a microbial point of view, a sterile-compounding technology. This study might represent an important benchmark in developing a contamination control strategy, as required, for example, in the Performance Qualification of the GMP in the case of drug manufacturing.


Subject(s)
Asepsis/standards , Decontamination/standards , Drug Compounding/standards , Drug Contamination/prevention & control , Pharmacy Service, Hospital/standards , Robotics/standards , Asepsis/methods , Decontamination/methods , Drug Compounding/methods , Humans , Pharmaceutical Preparations/chemical synthesis , Pharmaceutical Preparations/standards , Pharmacy Service, Hospital/methods , Reproducibility of Results , Robotics/methods
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