Environmental Monitoring with Rapid Microbiological Methods & PAT
Rapid Microbiological Methods (RMM) offers a variety of technical benefits to traditional microbiological techniques. These include a significantly shorter time for the results of accuracy, sensitivity, accuracy, and reproductive results in real time. Modern RMMs are able to detect single cells and can identify viable but non-culturable (VBNC) organisms compared to traditional development-based methods. Further benefits include high test flow, automation capacity, continuous sampling functions, and increased data management for strong trend analysis.
Benefits of operating efficiency and cost savings can also be marked through the use of RMM, especially when reducing or eliminating labor-intensive tasks, reducing costs per test, and reducing laboratory heads. Economic models such as return on investment (ROI) and payback period analysis have been used to assess the value of implementing RMM for applications such as environmental monitoring.
Some technologies have shown the ability to monitor constant, real-time, real-time viable and non-viable air particles during production operations. These platform processes represent the practical applications of Process Analytical Technology (PAT) principles so that microorganism tests can be transformed into a real-time, in-process environment from laboratory settings. Case studies of the past have shown the use of such technologies in a controlled production environment, including isolators, and reported a fairly long-lasting cost result due to low dependency on consumables and manual interventions. In addition to airborne monitoring, other RMM platforms have been used to detect and determine microorganisms collected through liquid impulse samples.
Modern airborne monitoring systems for evaluation of environmental microbiology in real time are often based on optical detection principles such as Mie scattering. In this approach, airborne particles spread light in a way that is correlated with their size, providing the possibility of financing within a specific range of 0.5 to 15 µm. These systems are also used by laser-inspired autofluorescence to distinguish spores from organic particles such as bacteria, yeast, and non-biological substances, which are naturally based on fluorescent biomolecules such as NADH, riboflavin, and dipicolinic acid.
Data collection is generally immediate, with the ability to monitor both discrete samples and continuous mode. The air is pulled into the instrument through an inlet and is expelled through the outer gates, where the entire process is controlled through the external software interface. Systems show real-time calculation of viable and non-viable particles and provide both numerical and clinical outputs. These often include size distribution, total and viable particle calculations, and time series trends that support continuous monitoring.
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