AutomatedSterilityDetectionQualityChecker
Automated Sterility Detection
Automated Sterility Detection Quality Checker — Evaluation of Automated Microbial Detection Systems ℹ️ Utility checks critical parameters of alternative sterility testing methods (USP <1223>, Ph. Eur. 5.1.6): • Positive control validity (growth must be detected) • Negative control validity (no contamination) • No growth detection in test samples (FTM/SCDM) • Compliance with incubation time (up to 14 days or validated period) ⚠️ CRITICAL: Use of automated systems (BACT/ALERT, BACTEC, VIRTUO) requires prior method validation per USP <1223>! Positive Control WITHOUT growth = INVALID TEST! Negative Control WITH growth = TEST CONTAMINATION! Usage: AutomatedSterilityDetectionQualityChecker.exe → demo mode (console output) AutomatedSterilityDetectionQualityChecker.exe input.csv output.json → evaluate your data Input format: BatchNumber,MediaFTM,MediaSCDM,IncubationTimeHours,MaxIncubationTimeHours,PositiveControlGrowth,NegativeControlClear,SampleDetectedGrowth Example (true/false for boolean values): STER-AUTO-2026-001,FTM_Loaded,SCDM_Loaded,336,336,true,true,false Supported systems: • bioMérieux BACT/ALERT 3D / VIRTUO • BD BACTEC FX • Charles River Celsis (ATP-based, requires specific validation logic) • Other validated automated detection systems — WHY IS THIS NEEDED? Automated sterility methods allow: • Reduced product release time (early detection of growth) • Increased sensitivity compared to visual reading • Electronic data recording (Data Integrity) • Compliance with EU GMP Annex 1 for modern monitoring ⚠️ CRITICAL: • Positive Control (PC): Must show growth within validated time. If PC fails — test is invalid, batch cannot be assessed. • Negative Control (NC): Must remain sterile. Growth in NC indicates aseptic technique failure during test prep. • Samples: Any growth detection (CO2, ATP, fluorescence) is interpreted as potential contamination. Investigation required. • Incubation Time: USP <71> standard is 14 days. Alternative methods may use shorter times ONLY if validation proves equivalence or superiority. Key features: • Test system validity check via controls • Incubation time compliance control • Support for early detection logic (if growth found before 14 days) • LIMS-compatible report generation (LabWare) for sterility status Critical parameters: • Positive Control: DETECTED (Growth) • Negative Control: NOT DETECTED (No Growth) • Sample: NOT DETECTED (No Growth) • Incubation Time: ≥ 14 days (336 hours) or validated period 💡 Usage tips: Ensure method is validated per USP <1223> (Accuracy, Precision, LOD, Robustness). Load data only after full incubation cycle completion or upon early growth detection. If "FAIL" result (growth in sample) occurs — immediately initiate investigation for lab error vs product contamination. Use this utility for routine evaluation after exporting data from instrument software (BACT/ALERT Software etc.). ⚠️ Note: This utility does not replace microbiological investigation of positive results but serves as a filter for primary evaluation of automated system data within GMP.
input.csv
BatchNumber,MediaFTM,MediaSCDM,IncubationTimeHours,MaxIncubationTimeHours,PositiveControlGrowth,NegativeControlClear,SampleDetectedGrowth STER-AUTO-2026-001,FTM_Loaded,SCDM_Loaded,336,336,true,true,false STER-AUTO-2026-002,FTM_Loaded,SCDM_Loaded,48,336,true,true,true STER-AUTO-2026-003,FTM_Loaded,SCDM_Loaded,336,336,false,true,false
URS & FS — Automated Sterility Detection
This document describes the user requirements and functional specification for AutomatedSterilityDetectionQualityChecker. The utility is intended for QC laboratory use as a rule-based check of data prepared from an instrument, LIMS, ELN, MES or an approved input.csv.
URS — User Requirements Specification
| ID | Requirement | Criticality | Acceptance criterion |
|---|---|---|---|
| URS-001 | The utility shall accept input.csv with approved columns: BatchNumber, MediaFTM, MediaSCDM, IncubationTimeHours, MaxIncubationTimeHours, PositiveControlGrowth, NegativeControlClear, SampleDetectedGrowth. | High | The CSV file is processed without manual header editing. |
| URS-002 | The utility shall perform deterministic evaluation for “Automated Sterility Detection” without machine learning. | High | The same input data produce the same JSON result. |
| URS-003 | The utility shall validate mandatory fields, numeric formats, flags, ranges and domain plausibility. | High | Schema and conversion errors are explicitly reported. |
| URS-004 | The utility shall generate output.json with PASS / WARNING / FAIL statuses, source values, warnings and failures. | High | The JSON result is suitable for review, deviation investigation and integration. |
| URS-005 | The documentation shall support IQ/OQ/PQ or CSV/CSA verification. | Medium | URS/FS, CSV/JSON contract and test scenarios are supplied with the utility. |
input.csv contract
| # | Field | Sample | Purpose |
|---|---|---|---|
| 1 | BatchNumber | STER-AUTO-2026-001 | Input parameter for deterministic QC evaluation. |
| 2 | MediaFTM | FTM_Loaded | Input parameter for deterministic QC evaluation. |
| 3 | MediaSCDM | SCDM_Loaded | Input parameter for deterministic QC evaluation. |
| 4 | IncubationTimeHours | 336 | Input parameter for deterministic QC evaluation. |
| 5 | MaxIncubationTimeHours | 336 | Input parameter for deterministic QC evaluation. |
| 6 | PositiveControlGrowth | true | Input parameter for deterministic QC evaluation. |
| 7 | NegativeControlClear | true | Input parameter for deterministic QC evaluation. |
| 8 | SampleDetectedGrowth | false | Input parameter for deterministic QC evaluation. |
FS — Functional Specification
| ID | Function | Implementation |
|---|---|---|
| FS-001 | CSV import | Read input.csv; validate header, column count and encoding. |
| FS-002 | Schema validation | Check required fields and permitted input values. |
| FS-003 | Rule engine | Apply domain rules, limits and system suitability/specification checks described in the source utility description. |
| FS-004 | Status aggregation | Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance. |
| FS-005 | JSON export | Write machine-readable output.json for LIMS/ELN/MES and QA/QC review. |
OQ/PQ scenarios
- OQ-001: a valid sample row shall be processed without schema error.
- OQ-002: a missing mandatory column shall produce a schema error.
- OQ-003: a non-numeric value in a numeric field shall produce a conversion error.
- OQ-004: a critical parameter outside the limit shall produce
FAILor a critical finding. - PQ-001: user real batches shall be checked with retention of
input.csv,output.json, utility version and checksum.
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