qPCRIdentityAssayReviewer

qPCR Identity Assay

Vet veterinary veterinary vaccines animal health adjuvants aquaculture batch release CSV→JSON

Utility description: qPCR Identity Assay

qPCR Identity Assay Reviewer — Review of qPCR Identity Results

ℹ️ Utility assesses validity and results of molecular identity tests by quantitative PCR (qPCR) according to Ph. Eur. 5.2.14 and ICH Q2(R1):
• Ct (Cycle Threshold): Cycle value where signal exceeds threshold. Must be within dynamic range.
• Amplification Efficiency: Must be 90-110% for reliable detection.
• Linearity (R²): Coefficient of determination of standard curve must be ≥ 0.98.
• Specificity: Melt Curve analysis must show one specific peak.
• Contamination Control: No Template Control (NTC) must be empty (Undetermined).

⚠️ CRITICAL:
• Signal in NTC indicates contamination of reaction mix or tubes. Test is invalid.
• Multiple peaks on melt curve indicate non-specific amplification or primer-dimer formation.
• Low efficiency (<90%) can lead to false-negative results at low matrix concentrations.

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

Input format:
BatchNumber,ProductName,Ct_Value_Target,Ct_Value_Control,Amplification_Efficiency_Percent,R_Squared,Melt_Curve_Analysis,NTC_Result,Positive_Control_Ct

Example:
QPCR-001,rFVIII,22.5,18.0,98.0,0.995,Single Peak,Undetermined,21.0

— WHY IS THIS NEEDED?
PCR identity is a highly specific method for confirming authenticity of genetically modified organisms (cell lines), viral vectors, and recombinant proteins.
Unlike immunochemical methods, PCR confirms the presence of a specific genetic sequence.
This is critical for control of cell banks (MCB/WCB) and raw materials of biotechnological origin.

⚠️ CRITICAL:
• Primer Design: Primers must be specific only to target gene and not give cross-reactions.
• PCR Inhibitors: Sample components may inhibit reaction. Use of Internal Control is mandatory for validating negative result.
• DNA/RNA Purity: Quality of extracted nucleic acid directly affects efficiency and Ct.
• Contamination Prevention: Work must be performed in zoned areas with separation of "pre-" and "post-" amplification flows.

Key features:
• Automatic System Suitability check
• Reaction specificity control (Melt Curve)
• Contamination detection (NTC check)
• Generation of reports for molecular biology departments and LIMS LabWare
• Compliance with GMP and Pharmacopoeia requirements

Critical parameters:
• Ct Target: < 35 (or within validated range)
• Efficiency: 90–110%
• R²: ≥ 0.98
• Melt Curve: Single Peak
• NTC: Undetermined

💡 Usage tips:
1. Threshold Calibration: Fluorescence threshold should be set in exponential phase of amplification automatically or manually by expert.
2. Replicates: Use at least 2-3 replicates for each sample to exclude random pipetting errors.
3. DNA QC: Assess A260/A280 ratio before loading into PCR.
4. Ct Interpretation: High Ct values (>35) may be non-specific noise. Require confirmation by re-testing.
5. Documentation: Save raw fluorescence data and melt curve analysis files for audit.

⚠️ Note: For cell line identification, species-specific gene PCR (e.g., COX1) or STR profiling is often used. This utility focuses on classical qPCR with intercalating dyes or probes.

input.csv

BatchNumber,ProductName,Ct_Value_Target,Ct_Value_Control,Amplification_Efficiency_Percent,R_Squared,Melt_Curve_Analysis,NTC_Result,Positive_Control_Ct
QPCR-ID-2026-001,Recombinant Factor VIII,22.5,18.0,98.0,0.995,Single Peak,Undetermined,21.0
QPCR-ID-2026-002,mRNA Vaccine Construct,19.5,17.5,102.0,0.990,Single Peak,Undetermined,18.5
QPCR-FAIL-CONTAM-003,Cell Bank Master,25.0,18.0,95.0,0.985,Single Peak,28.5,24.0

URS & FS — User Requirements and Functional Specification

This document describes the controlled interface and behaviour of qPCRIdentityAssayReviewer for qPCR Identity Assay Reviewer.

Domain limits URS input.csv FS IQ/OQ/PQ

Domain limits and critical parameters

Key fragments from the source description are shown below. Before production use, limits must be verified against the approved specification, registration dossier and local SOPs.

ℹ️ Utility assesses validity and results of molecular identity tests by quantitative PCR (qPCR) according to Ph. Eur. 5.2.14 and ICH Q2(R1):
• Ct (Cycle Threshold): Cycle value where signal exceeds threshold. Must be within dynamic range.
• Amplification Efficiency: Must be 90-110% for reliable detection.
• Linearity (R²): Coefficient of determination of standard curve must be ≥ 0.98.
• Specificity: Melt Curve analysis must show one specific peak.
• Contamination Control: No Template Control (NTC) must be empty (Undetermined).
⚠️ CRITICAL:
• Low efficiency (<90%) can lead to false-negative results at low matrix concentrations.
This is critical for control of cell banks (MCB/WCB) and raw materials of biotechnological origin.
• Primer Design: Primers must be specific only to target gene and not give cross-reactions.
• DNA/RNA Purity: Quality of extracted nucleic acid directly affects efficiency and Ct.
• Contamination Prevention: Work must be performed in zoned areas with separation of "pre-" and "post-" amplification flows.
• Compliance with GMP and Pharmacopoeia requirements
Critical parameters:
• Ct Target: < 35 (or within validated range)
• R²: ≥ 0.98
4. Ct Interpretation: High Ct values (>35) may be non-specific noise. Require confirmation by re-testing.

URS — User Requirements Specification

ID	Requirement	Criticality	Acceptance criterion
URS-001	The utility shall accept an input.csv file for qPCR Identity Assay Reviewer with headers defined in the data contract.	High	The file is processed without manual header editing.
URS-002	The utility shall perform deterministic QC evaluation without machine learning and without probabilistic conformance decisions.	High	Identical input data, rule version and configuration produce reproducible results.
URS-003	The utility shall validate mandatory fields, data types, ranges, units and domain plausibility.	High	Schema, conversion and range errors are explicitly reported.
URS-004	The utility shall apply domain limits and rules from the description, approved specification, registration dossier and local SOPs.	High	Each check has PASS/WARNING/FAIL and a clear message.
URS-005	The utility shall generate output.json with machine-readable results, source values, warnings, failures and critical findings.	High	JSON is suitable for LIMS/ELN/MES integration and QA/QC review.
URS-006	The utility shall preserve traceability between batch/sample, input file, applied rules and final status.	High	Output contains identifiers, checked parameters and audit metadata.
URS-007	The documentation shall support IQ/OQ/PQ, CSV/CSA and review by internal QA or inspectors.	Medium	URS, FS, input/output contract and test scenarios are supplied with the utility.
URS-008	The utility shall be used as a QC decision-support tool and not as a substitute for approved specifications and QA/QP release decision.	Medium	Documentation states change control and limit-verification expectations.

input.csv contract

#	Field	Type	Sample	Purpose
1	`BatchNumber`	string / controlled vocabulary	`QPCR-ID-2026-001`	Batch or lot identifier used for traceability.
2	`ProductName`	string / controlled vocabulary	`Recombinant Factor VIII`	Product or dosage-form name under evaluation.
3	`Ct_Value_Target`	decimal	`22.5`	Controlled input parameter for deterministic QC rules.
4	`Ct_Value_Control`	decimal	`18.0`	Control point/control sample for assay run validity.
5	`Amplification_Efficiency_Percent`	decimal	`98.0`	Controlled input parameter for deterministic QC rules.
6	`R_Squared`	decimal	`0.995`	Controlled input parameter for deterministic QC rules.
7	`Melt_Curve_Analysis`	string / controlled vocabulary	`Single Peak`	Controlled input parameter for deterministic QC rules.
8	`NTC_Result`	string / controlled vocabulary	`Undetermined`	Result/status used in final classification.
9	`Positive_Control_Ct`	decimal	`21.0`	Control point/control sample for assay run validity.

BatchNumber,ProductName,Ct_Value_Target,Ct_Value_Control,Amplification_Efficiency_Percent,R_Squared,Melt_Curve_Analysis,NTC_Result,Positive_Control_Ct
QPCR-ID-2026-001,Recombinant Factor VIII,22.5,18.0,98.0,0.995,Single Peak,Undetermined,21.0
QPCR-ID-2026-002,mRNA Vaccine Construct,19.5,17.5,102.0,0.990,Single Peak,Undetermined,18.5
QPCR-FAIL-CONTAM-003,Cell Bank Master,25.0,18.0,95.0,0.985,Single Peak,28.5,24.0

Input validation rules

ID	Field	Rule	Criticality
VR-001	`BatchNumber`	The field shall match an approved dictionary or accepted string representation.	High
VR-002	`ProductName`	The field shall match an approved dictionary or accepted string representation.	High
VR-003	`Ct_Value_Target`	The field shall match an approved dictionary or accepted string representation.	High
VR-004	`Ct_Value_Control`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-005	`Amplification_Efficiency_Percent`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-006	`R_Squared`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-007	`Melt_Curve_Analysis`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-008	`NTC_Result`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-009	`Positive_Control_Ct`	The field shall match an approved dictionary or accepted string representation.	Medium

FS — Functional Specification

ID	Function	Implementation
FS-001	CLI execution	Support execution modes: demo mode without arguments and production mode input.csv output.json.
FS-002	CSV import	Read input.csv in UTF-8/CSV-compatible format and validate header and expected columns.
FS-003	Schema validation	Check mandatory fields, column count, unknown key fields and empty mandatory values.
FS-004	Type conversion	Convert numeric, flag and text values; invalid format is recorded as a row-level error.
FS-005	Domain rule engine	Apply rules for qPCR Identity Assay Reviewer, including critical limits from the description and approved specification.
FS-006	Status aggregation	Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-007	JSON export	Write output.json with detailed checks, source values, warnings, failures and critical findings.
FS-008	Audit support	Keep result structure suitable for review, deviation investigation and calculation reproduction.
FS-009	Integration contract	Support the scenario LIMS/ELN/MES → input.csv → utility → output.json → portal/admin review.
FS-010	Error handling	Return explicit messages for missing file, empty CSV, invalid schema, output write failure and invalid format.

Example output.json

{
  "utilityId": "qpcridentityassayreviewer",
  "utilityFolder": "qPCRIdentityAssayReviewer",
  "package": "Vet",
  "overallStatus": "PASS|WARNING|FAIL",
  "sourceFile": "input.csv",
  "processedAtUtc": "2026-06-10T00:00:00Z",
  "checks": [
    {
      "parameter": "BatchNumber",
      "value": "QPCR-ID-2026-001",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-001"
    },
    {
      "parameter": "ProductName",
      "value": "Recombinant Factor VIII",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-002"
    },
    {
      "parameter": "Ct_Value_Target",
      "value": "22.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-003"
    },
    {
      "parameter": "Ct_Value_Control",
      "value": "18.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-004"
    },
    {
      "parameter": "Amplification_Efficiency_Percent",
      "value": "98.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-005"
    },
    {
      "parameter": "R_Squared",
      "value": "0.995",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-006"
    },
    {
      "parameter": "Melt_Curve_Analysis",
      "value": "Single Peak",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-007"
    },
    {
      "parameter": "NTC_Result",
      "value": "Undetermined",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-008"
    },
    {
      "parameter": "Positive_Control_Ct",
      "value": "21.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-009"
    }
  ],
  "criticalFindings": [],
  "warnings": [],
  "audit": {
    "inputHash": "sha256:<calculated at runtime>",
    "rulesVersion": "<utility executable version>",
    "documentation": "qPCRIdentityAssayReviewer.documentation.html"
  }
}

Traceability matrix

URS	FS	Test	Evidence
URS-001	FS-001, FS-002	OQ-001	Verify execution and import of valid input.csv.
URS-002	FS-005, FS-006	OQ-004	Repeat the same dataset and compare output.json.
URS-003	FS-003, FS-004, FS-010	OQ-002, OQ-003	Verify missing columns and invalid types.
URS-004	FS-005, FS-006	OQ-004, PQ-001	Verify critical deviations on real/boundary data.
URS-005	FS-007, FS-009	OQ-005	Verify JSON schema and downstream-system suitability.
URS-006	FS-008	OQ-006	Verify identifiers and audit metadata.
URS-007	FS-008, FS-010	IQ-001, OQ-007	Verify documentation completeness and control evidence.
URS-008	FS-005, FS-008	PQ-002	Verify review workflow and no replacement of QA decision.

IQ/OQ/PQ test scenarios

ID	Scenario	Expected result
IQ-001	Verify executable, input.csv, documentation and checksum availability.	Delivery set is complete; version is recorded.
OQ-001	Valid sample row from input.csv.	PASS or acceptable WARNING according to rules.
OQ-002	Remove a mandatory CSV column.	Schema error or FAIL with missing-column reference.
OQ-003	Place a non-numeric value into a numeric field.	Type-conversion error with row/field reference.
OQ-004	Set a critical parameter outside the limit.	FAIL and critical finding.
OQ-005	Verify output.json structure.	All mandatory sections are present and JSON is valid.
OQ-006	Verify batch/sample traceability.	Input and result identifiers match.
PQ-001	Verify 3–5 real user batches/samples.	Result is confirmed by QC/QA review.
PQ-002	Verify deviation workflow and manual QA decision.	Utility supports review but does not replace approved decision.

QA/QC and change control

Do not rename columns without updating validator, documentation and test set.
Retain input.csv, output.json, executable version and checksum.
Before production use, perform IQ/OQ/PQ or equivalent CSV/CSA verification.
Critical limits shall be verified against the approved specification, registration dossier and local SOPs.
The utility provides structured QC decision support; final release decision remains with QA/QP and approved procedures.

Included in packages

Vet — Veterinary QC Utilities

Vet is designed for veterinary pharmaceuticals and vaccines: adjuvants, antigens, autogenous vaccines, aquaculture, feed/premixes, antimicrobial and antiparasitic products, sterility and batch release.

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