Quality risk management for microbial control in membrane-based water for injection production using fuzzy-failure mode and effects analysis

Microbial proliferation presents a significant challenge in membrane-based water for injection (WFI) production, particularly in systems with storage and ambient distribution, commonly refered to as cold WFI production. A comprehensive microbial risk assessment of membrane-based WFI systems was performed by employing Fuzzy-Failure Mode and Effects Analysis (Fuzzy-FMEA) to evaluate the potential microbial risks. Failure modes were identified and prioritized based on the Risk Priority Number (RPN), with appropriate preventive measures recommended to control failure modes that could increase the microbial load and mitigate their impact. Key hazards were identified including fouling of ultrafiltration (UF) membranes, insufficient sealing of heat exchangers, leakage in reverse osmosis (RO) membranes, and ineffective vent filters unable to remove airborn microorganism. Based on Fuzzy-FMEA results, suggestions for optimization were proposed to improve microbial control in membrane-based WFI systems in the pharmaceutical industry.

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Publication Details

Journal
PeerJ Computer Science
Published
2024-12-23
DOI
https://doi.org/10.7717/peerj-cs.2565
Citations
1
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
0.20
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article

Quality risk management for microbial control in membrane-based water for injection production using fuzzy-failure mode and effects analysis

Luoyin Zhu, Yi Liang
1 citations
PeerJ Computer Science
Membrane Separation Technologies
0.20
article

Quality risk management for microbial control in membrane-based water for injection production using fuzzy-failure mode and effects analysis

Luoyin Zhu, Yi Liang
article en
1 citations

Abstract

Microbial proliferation presents a significant challenge in membrane-based water for injection (WFI) production, particularly in systems with storage and ambient distribution, commonly refered to as cold WFI production. A comprehensive microbial risk assessment of membrane-based WFI systems was performed by employing Fuzzy-Failure Mode and Effects Analysis (Fuzzy-FMEA) to evaluate the potential microbial risks. Failure modes were identified and prioritized based on the Risk Priority Number (RPN), with appropriate preventive measures recommended to control failure modes that could increase the microbial load and mitigate their impact. Key hazards were identified including fouling of ultrafiltration (UF) membranes, insufficient sealing of heat exchangers, leakage in reverse osmosis (RO) membranes, and ineffective vent filters unable to remove airborn microorganism. Based on Fuzzy-FMEA results, suggestions for optimization were proposed to improve microbial control in membrane-based WFI systems in the pharmaceutical industry.

PeerJ Computer ScienceVol. 10
China Pharmaceutical University (CN)
Clean water and sanitation
Openalex Percentile: Top 43%
Membrane Separation Technologies
0.20
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