Purpose

Define user requirements for a standalone FUZKK utility that accepts laboratory CSV data, evaluates the records using limits embedded in code, and produces LabWare-compatible JSON.

Scope

The utility is intended for preliminary QC/QA review, integration testing, LIMS/LabWare flow and evidence-trail preparation. Final release decisions remain under the laboratory's validated procedure and responsible personnel.

Users

QC analyst, QA reviewer, CSV/validation engineer, LIMS/LabWare integration engineer, responsible laboratory specialist.

User requirements

1. The utility shall run without arguments and print its self-description, a built-in input.csv example from GetDemoData(), and demo evaluation for the embedded records.
2. The utility shall run with two arguments: input.csv output.json.
3. The utility shall not read input.csv and shall not write output.json when started without arguments.
4. CSV numeric values shall be parsed using CultureInfo.InvariantCulture.
5. Output shall be generated as LabWare-compatible JSON with Header, Samples, Results, Status, StatusCode, ErrorMessage, Description and DescriptionEN.
6. For PASS records, ErrorMessage shall be an empty string.
7. Embedded limits shall follow this priority: Ph. Eur. → British Pharmacopoeia / UK implementation → EAEU / regional requirements → EMA/ICH/EU guidance → USP fallback.
8. If an exact monograph is not known, strict standard API limits are used where applicable: assay 98–102%, total impurities ≤1.0%, individual impurity ≤0.5%.
9. For biologics and mAb-like products, aggregation, sterility and endotoxin checks shall be included where relevant to the utility purpose.
10. If a parameter may arrive in different units, the unit shall be represented as a separate input field or explicitly reflected in the input.csv field name.

Input CSV

BatchNumber,ProductName,EC50_GC_per_cell,Max_Response_Percent,Hill_Slope,Relative_Potency_Percent,Genome_Titer_GC_ml,Infectious_Titer_IU_ml,R_Squared,CV_Percent,Standard_EC50
CGT-POT-2026-001,AAV9-CNS-Gene,5000.0,85.0,1.2,110.0,1.0E+13,5.0E+9,0.98,12.0,4800.0
CGT-POT-2026-002,Lenti-CAR-T,200.0,92.0,1.5,95.0,5.0E+12,1.0E+9,0.99,8.0,210.0
CGT-POT-2026-003,Adeno-Onco,10000.0,60.0,0.8,40.0,2.0E+11,1.0E+6,0.85,25.0,9500.0

input.csv fields

Utility description

Vector Potency Transduction Assay Reviewer — Vector Transduction Potency Reviewer

Vector Potency Transduction Assay Reviewer — Vector Transduction Potency Reviewer

ℹ️ Utility analyzes functional cell-based assay data:
• Relative potency (50-200%)
• EC50 (effective dose)
• Maximum expression/transduction level
• Infectious/Physical particle ratio (IU/GC)

⚠️ CRITICAL: High physical titer does not guarantee biological activity!
Only functional test confirms vector's ability to deliver gene.

Usage:
VectorPotencyTransductionAssayReviewer.exe → demo mode (console output)
VectorPotencyTransductionAssayReviewer.exe input.csv output.json → evaluate your data

Input format:
BatchNumber,ProductName,EC50_GC_per_cell,Max_Response_Percent,Hill_Slope,Relative_Potency_Percent,Genome_Titer_GC_ml,Infectious_Titer_IU_ml,R_Squared,CV_Percent,Standard_EC50

Example:
CGT-POT-2026-001,AAV9-CNS-Gene,5000.0,85.0,1.2,110.0,1.0E+13,5.0E+9,0.98,12.0,4800.0

— WHY IS THIS NEEDED?
Functional activity control is critical for gene therapy (Novartis, BioNTech, Oxford Biomedica):
• Physical titer (GC/mL) measures particle count but not their ability to infect cells
• Biological potency (IU/mL or TU/mL) is true indicator of product efficacy
• IU/GC ratio (Specific Activity) reflects manufacturing quality and product purity
• Regulators require biological activity confirmation for each clinical batch release

⚠️ CRITICAL:
• Relative potency 50-200% — wide range due to high bioassay variability
• EC50 within 3-fold change from standard — acceptable cell-based assay variability
• Max response ≥70% — confirms full vector functionality
• IU/GC ratio ≥1E-4 — indicator of no significant defective particles
• Curve fit quality (R² ≥0.90) — parameter calculation reliability

Key features:
• Flow cytometry or luminescence data analysis
• Relative potency calculation against reference standard
• Specific activity assessment (IU/GC ratio)
• Bioassay quality control (variability, fitting)

Critical parameters:
• Relative potency: 50–200%
• EC50: Within 3x of standard
• Max Response: ≥70%
• IU/GC Ratio: ≥1E-4
• R²: ≥0.90

💡 Usage tips:
1. Always include reference standard in each experiment for normalization
2. Use relevant target cell line for specific serotype/vector
3. Perform analysis in multiple independent replicates to reduce variability
4. Compare IU/GC ratio between batches to monitor process stability
5. If low potency observed, check vector integrity (NGS) and presence of inhibitors

⚠️ Note: Unlike chemical drugs where activity is proportional to concentration, for viral vectors the link between physical quantity and biological effect is non-linear and depends on many factors (serotype, target cell, culture condition). The utility helps interpret complex bioassay data in context of GMP requirements.

Traceability and limitations

• The URS is used as the source document for functional specification, CSV review and later validation work.
• This document does not replace an approved pharmacopoeial monograph, validated analytical method or internal product specification.
• For product-specific limits, the approved customer specification takes priority.

The functional specification describes the behaviour of the standalone FUZKK console utility, input-data format, evaluation algorithm and output JSON structure.

Functional flow

1. Main() checks the number of arguments.
2. If no arguments are provided: PrintHello() prints the description and built-in input.csv example, then RunDemoEvaluation() executes Evaluate() over GetDemoData() and prints demo JSON.
3. If two arguments are provided: RunWithFiles(input.csv, output.json) reads CSV, evaluates each record and writes LabWare-compatible JSON.
4. LoadData() uses CultureInfo.InvariantCulture and shall not be called in no-arguments mode.
5. Evaluate() returns a named tuple with BatchNumber, ProductName, Parameters, CriticalFailCount, WarningCount, Recommendation and RecommendationEN.
6. GetIssues() builds messages for ErrorMessage in WARNING/FAIL cases.

Evaluation rules

• PASS: CriticalFailCount = 0 and WarningCount = 0.
• WARNING: CriticalFailCount = 0 and WarningCount > 0.
• FAIL: CriticalFailCount > 0.
• ERROR: exception during reading or processing.
• ErrorMessage remains empty for PASS.
• Limits are embedded in Program.cs; no external limit configuration is required.

Input and fields

BatchNumber,ProductName,EC50_GC_per_cell,Max_Response_Percent,Hill_Slope,Relative_Potency_Percent,Genome_Titer_GC_ml,Infectious_Titer_IU_ml,R_Squared,CV_Percent,Standard_EC50
CGT-POT-2026-001,AAV9-CNS-Gene,5000.0,85.0,1.2,110.0,1.0E+13,5.0E+9,0.98,12.0,4800.0
CGT-POT-2026-002,Lenti-CAR-T,200.0,92.0,1.5,95.0,5.0E+12,1.0E+9,0.99,8.0,210.0
CGT-POT-2026-003,Adeno-Onco,10000.0,60.0,0.8,40.0,2.0E+11,1.0E+6,0.85,25.0,9500.0

Output JSON

{
  "Header": {
    "UtilityName": "Vector_Potency_Transduction_Assay_Reviewer",
    "Version": "1.0.0",
    "Timestamp": "UTC",
    "InstrumentID": "FUZKK-QC-WORKSTATION",
    "OperatorID": "Admin"
  },
  "Samples": [
    {
      "SampleID": "from BatchNumber",
      "BatchNumber": "from CSV",
      "ProductName": "from CSV",
      "TestName": "utility-specific test",
      "AnalysisCode": "utility-specific code",
      "Status": "PASS | WARNING | FAIL | ERROR",
      "StatusCode": "1 | 2 | 0 | -1",
      "ErrorMessage": "",
      "Description": "Russian recommendation",
      "DescriptionEN": "English recommendation",
      "Results": [
        {
          "ParameterName": "parameter",
          "ResultValue": 0.0,
          "UnitOfMeasure": "unit",
          "SpecificationLimit": "limit",
          "IsWithinSpec": true
        }
      ]
    }
  ]
}