MALDI-TOF as a tool for microbiological monitoring in areas considered aseptic.
Marlu Lopes GuimarãesMaximino Alencar Bezerra JúniorVitor Martins de AlmeidaWilson Vicente Souza PereiraPublished in: Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] (2023)
To maintain asepsis in production environments, contamination must be constantly controlled. To this end, microbiological monitoring is constantly used with the objective of evaluating the incidence of microorganisms prevalent in the sampling of air, surface, and people, in the area of an environment considered aseptic, isolated, and identified using the rapid and automated phenotypic microbiological methodology, highlighting the MALDI-TOF mass spectrometry analysis technique (MS), being identified at the level of genus and/or species. For that purpose, microbiological control of environmental monitoring of environments considered aseptic in a pharmaceutical industry was conducted for 12 months. The isolated microorganisms were identified using the mass spectrometry identification method (MALDI-TOF). In area classification A, the most prevalent microorganisms were bacteria in the sampling person. The microbial population was composed of bacteria of the genus Micrococcus sp. and Staphylococcus sp. Based on the results, it is possible to observe that in an environment where the process requires human operations, possible microbial contamination is inevitable and requires the identification of microorganisms at least at the level of species and/or genus. The microorganisms identified and found in the sampling of the aseptic environment must be evaluated with frequency to ensure that the productive environment guarantees the quality of the product produced.
Keyphrases
- mass spectrometry
- liquid chromatography
- high performance liquid chromatography
- gas chromatography
- capillary electrophoresis
- high resolution
- machine learning
- risk assessment
- deep learning
- microbial community
- endothelial cells
- drinking water
- human health
- risk factors
- health risk
- tandem mass spectrometry
- staphylococcus aureus
- ms ms
- pluripotent stem cells
- biofilm formation
- bioinformatics analysis
- sensitive detection