AutomatedSterilityDetectionQualityChecker

Automated Sterility Detection

LabEx laboratory QC CSV→JSON URS & FS microbiology spectroscopy utilities / cleanroom
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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

IDRequirementCriticalityAcceptance criterion
URS-001The utility shall accept input.csv with approved columns: BatchNumber, MediaFTM, MediaSCDM, IncubationTimeHours, MaxIncubationTimeHours, PositiveControlGrowth, NegativeControlClear, SampleDetectedGrowth.HighThe CSV file is processed without manual header editing.
URS-002The utility shall perform deterministic evaluation for “Automated Sterility Detection” without machine learning.HighThe same input data produce the same JSON result.
URS-003The utility shall validate mandatory fields, numeric formats, flags, ranges and domain plausibility.HighSchema and conversion errors are explicitly reported.
URS-004The utility shall generate output.json with PASS / WARNING / FAIL statuses, source values, warnings and failures.HighThe JSON result is suitable for review, deviation investigation and integration.
URS-005The documentation shall support IQ/OQ/PQ or CSV/CSA verification.MediumURS/FS, CSV/JSON contract and test scenarios are supplied with the utility.

input.csv contract

#FieldSamplePurpose
1BatchNumberSTER-AUTO-2026-001Input parameter for deterministic QC evaluation.
2MediaFTMFTM_LoadedInput parameter for deterministic QC evaluation.
3MediaSCDMSCDM_LoadedInput parameter for deterministic QC evaluation.
4IncubationTimeHours336Input parameter for deterministic QC evaluation.
5MaxIncubationTimeHours336Input parameter for deterministic QC evaluation.
6PositiveControlGrowthtrueInput parameter for deterministic QC evaluation.
7NegativeControlCleartrueInput parameter for deterministic QC evaluation.
8SampleDetectedGrowthfalseInput parameter for deterministic QC evaluation.

FS — Functional Specification

IDFunctionImplementation
FS-001CSV importRead input.csv; validate header, column count and encoding.
FS-002Schema validationCheck required fields and permitted input values.
FS-003Rule engineApply domain rules, limits and system suitability/specification checks described in the source utility description.
FS-004Status aggregationProduce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-005JSON exportWrite 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 FAIL or 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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