LoDLoQVerificationChecker

LoD/LoQ Verification

Liquid Biopsy жидкостная биопсия cfDNA ctDNA CTC exosomes NGS qPCR
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Utility description: LoD/LoQ Verification

LoD/LoQ Verification Checker — Independent Verification of Detection and Quantitation Limits

ℹ️  Utility performs statistical verification of declared LoD and LoQ according to CLSI EP17-A3, FDA Bioanalytical Method Validation Guidance and ICH Q2(R2):

     LoD VERIFICATION:
     • Detection Rate: Observed detection frequency at declared LoD must be ≥ target (typically ≥95%).
     • Binomial 95% CI: Lower confidence bound must exceed minimum acceptable rate.
     • Test Concentration: Testing MUST be performed AT declared LoD concentration (±10% tolerance).
     • Minimum Measurements: ≥20 total measurements for statistical power.

     LoQ VERIFICATION:
     • Precision (CV%): Observed CV at LoQ ≤ target threshold (typically ≤20%).
     • Accuracy (Bias%): Observed bias at LoQ ≤ target threshold (typically ≤±20%).
     • Replicates: ≥20 replicates for reliable precision estimation.
     • True Value: Use of sample with known concentration for bias calculation.

     VERIFICATION CONTEXTS:
     • Method Transfer: Platform or site transfer.
     • Reagent Change: Lot or supplier change.
     • Instrument Change: Replacement or major maintenance.
     • Annual Requalification: Scheduled periodic reconfirmation.

⚠️  IMPORTANT:
     • Verification ≠ establishment. Verification tests ONE concentration (declared limit).
     • Detection rate <95% does NOT necessarily mean true LoD is higher — may need more measurements.
     • Binomial CI is critical: 19/20 = 95%, but 95% CI = [75.1%-99.9%]. Lower bound <90%!
     • LoQ without BOTH CV AND bias confirmation = unverified limit.
     • Test concentration must match declared limit (±10%). Otherwise verification is invalid.

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

📍 Scope: Method transfer, reagent changes, annual requalification, regulatory inspections, liquid biopsy/MRD.

⚠️  CRITICAL:
• LoD Detection Rate ≥ Min Acceptable (typically ≥90%)
• LoD Binomial CI Lower Bound ≥ Min Rate
• LoQ CV ≤ Max% | LoQ |Bias| ≤ Max%
• Total LoD Measurements ≥ 20 | LoQ Replicates ≥ 20
• Test Concentration ≈ Declared Limit (±10%)

Key features: Automatic binomial 95% CI calculation, experiment design check, concentration match verification, dual LoQ precision/accuracy assessment, three-tier classification, multi-context support.

💡 Tips: For confirming 95% detection with CI lower bound ≥90%, need minimum 29/30 or 57/60. Use commutable matrix materials. Distribute replicates across days/operators. Define acceptance criteria BEFORE starting. Upon NOT VERIFIED: do not increase N post-hoc — revise limit or fix degradation cause.

⚠️ Note: This utility is for VERIFICATION of previously established limits. For initial LoD/LoQ establishment, use LoBLoDLoQVerificationChecker or specialized software. Verification requires smaller N but stricter conformity criteria.

input.csv

AssayName,Analyte,VerificationContext,DeclaredLoD,DeclaredLoQ,Units,LoD_NumSamples,LoD_NumReplicates,LoD_TestConcentration,LoD_DetectedCount,LoD_TargetDetectionRate,LoD_MinAcceptableDetectionRate,LoQ_NumReplicates,LoQ_TestConcentration,LoQ_ObservedCV_Percent,LoQ_MaxCV_Percent,LoQ_ObservedBias_Percent,LoQ_MaxBias_Percent,LoQ_TrueValue,ConfidenceLevel
OncoLiquid_cfDNA,EGFR_L858R,Reagent_Change,0.005,0.01,% VAF,5,6,0.005,29,0.95,0.90,25,0.01,14.2,20.0,6.5,20.0,0.01,0.95
MRD_Panel_v3,TP53_ctDNA,Method_Transfer,0.001,0.003,% VAF,4,5,0.001,15,0.95,0.90,20,0.003,28.5,20.0,18.0,20.0,0.003,0.95

URS & FS — User Requirements and Functional Specification

This document describes the controlled interface and behaviour of LoDLoQVerificationChecker for LoD/LoQ Verification Checker.

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.
  • LoD/LoQ Verification Checker — Independent Verification of Detection and Quantitation Limits
  • ℹ️ Utility performs statistical verification of declared LoD and LoQ according to CLSI EP17-A3, FDA Bioanalytical Method Validation Guidance and ICH Q2(R2):
  • • Detection Rate: Observed detection frequency at declared LoD must be ≥ target (typically ≥95%).
  • • Binomial 95% CI: Lower confidence bound must exceed minimum acceptable rate.
  • • Test Concentration: Testing MUST be performed AT declared LoD concentration (±10% tolerance).
  • • Minimum Measurements: ≥20 total measurements for statistical power.
  • • Precision (CV%): Observed CV at LoQ ≤ target threshold (typically ≤20%).
  • • Accuracy (Bias%): Observed bias at LoQ ≤ target threshold (typically ≤±20%).
  • • Replicates: ≥20 replicates for reliable precision estimation.
  • • Verification ≠ establishment. Verification tests ONE concentration (declared limit).
  • • Detection rate <95% does NOT necessarily mean true LoD is higher — may need more measurements.
  • • Binomial CI is critical: 19/20 = 95%, but 95% CI = [75.1%-99.9%]. Lower bound <90%!
  • • LoQ without BOTH CV AND bias confirmation = unverified limit.
  • • Test concentration must match declared limit (±10%). Otherwise verification is invalid.
  • ⚠️ CRITICAL:
  • • LoD Detection Rate ≥ Min Acceptable (typically ≥90%)
  • • LoD Binomial CI Lower Bound ≥ Min Rate
  • • LoQ CV ≤ Max% | LoQ |Bias| ≤ Max%

URS — User Requirements Specification

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

input.csv contract

#FieldTypeSamplePurpose
1AssayNamestring / controlled vocabularyOncoLiquid_cfDNAControlled input parameter for deterministic QC rules.
2Analytestring / controlled vocabularyEGFR_L858RControlled input parameter for deterministic QC rules.
3VerificationContextstring / controlled vocabularyReagent_ChangeControlled input parameter for deterministic QC rules.
4DeclaredLoDdecimal0.005Controlled input parameter for deterministic QC rules.
5DeclaredLoQdecimal0.01Controlled input parameter for deterministic QC rules.
6Unitsstring / controlled vocabulary% VAFControlled input parameter for deterministic QC rules.
7LoD_NumSamplesstring / controlled vocabulary5Sample or laboratory specimen identifier.
8LoD_NumReplicatesinteger / decimal6Controlled input parameter for deterministic QC rules.
9LoD_TestConcentrationinteger / decimal0.005Component ratio; structural or formulation CQA.
10LoD_DetectedCountinteger / decimal29Count parameter used for microbiological, particulate or cellular control.
11LoD_TargetDetectionRatedecimal0.95Controlled input parameter for deterministic QC rules.
12LoD_MinAcceptableDetectionRatedecimal0.90Controlled input parameter for deterministic QC rules.
13LoQ_NumReplicatesinteger / decimal25Controlled input parameter for deterministic QC rules.
14LoQ_TestConcentrationinteger / decimal0.01Component ratio; structural or formulation CQA.
15LoQ_ObservedCV_Percentdecimal14.2Controlled input parameter for deterministic QC rules.
16LoQ_MaxCV_Percentdecimal20.0Controlled input parameter for deterministic QC rules.
17LoQ_ObservedBias_Percentdecimal6.5Controlled input parameter for deterministic QC rules.
18LoQ_MaxBias_Percentdecimal20.0Controlled input parameter for deterministic QC rules.
19LoQ_TrueValuedecimal0.01Controlled input parameter for deterministic QC rules.
20ConfidenceLevelstring / controlled vocabulary0.95Controlled input parameter for deterministic QC rules.
AssayName,Analyte,VerificationContext,DeclaredLoD,DeclaredLoQ,Units,LoD_NumSamples,LoD_NumReplicates,LoD_TestConcentration,LoD_DetectedCount,LoD_TargetDetectionRate,LoD_MinAcceptableDetectionRate,LoQ_NumReplicates,LoQ_TestConcentration,LoQ_ObservedCV_Percent,LoQ_MaxCV_Percent,LoQ_ObservedBias_Percent,LoQ_MaxBias_Percent,LoQ_TrueValue,ConfidenceLevel
OncoLiquid_cfDNA,EGFR_L858R,Reagent_Change,0.005,0.01,% VAF,5,6,0.005,29,0.95,0.90,25,0.01,14.2,20.0,6.5,20.0,0.01,0.95
MRD_Panel_v3,TP53_ctDNA,Method_Transfer,0.001,0.003,% VAF,4,5,0.001,15,0.95,0.90,20,0.003,28.5,20.0,18.0,20.0,0.003,0.95

Input validation rules

IDFieldRuleCriticality
VR-001AssayNameThe field shall match an approved dictionary or accepted string representation.High
VR-002AnalyteThe field shall match an approved dictionary or accepted string representation.High
VR-003VerificationContextThe field shall match an approved dictionary or accepted string representation.High
VR-004DeclaredLoDThe field shall match an approved dictionary or accepted string representation.Medium
VR-005DeclaredLoQThe field shall match an approved dictionary or accepted string representation.Medium
VR-006UnitsThe field shall match an approved dictionary or accepted string representation.Medium
VR-007LoD_NumSamplesThe field shall match an approved dictionary or accepted string representation.Medium
VR-008LoD_NumReplicatesThe field shall match an approved dictionary or accepted string representation.Medium
VR-009LoD_TestConcentrationThe field shall match an approved dictionary or accepted string representation.Medium
VR-010LoD_DetectedCountThe field shall match an approved dictionary or accepted string representation.Medium
VR-011LoD_TargetDetectionRateThe field shall match an approved dictionary or accepted string representation.Medium
VR-012LoD_MinAcceptableDetectionRateThe field shall match an approved dictionary or accepted string representation.Medium
VR-013LoQ_NumReplicatesThe field shall match an approved dictionary or accepted string representation.Medium
VR-014LoQ_TestConcentrationThe field shall match an approved dictionary or accepted string representation.Medium
VR-015LoQ_ObservedCV_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-016LoQ_MaxCV_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-017LoQ_ObservedBias_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-018LoQ_MaxBias_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-019LoQ_TrueValueThe field shall match an approved dictionary or accepted string representation.Medium
VR-020ConfidenceLevelThe field shall match an approved dictionary or accepted string representation.Medium

FS — Functional Specification

IDFunctionImplementation
FS-001CLI executionSupport execution modes: demo mode without arguments and production mode input.csv output.json.
FS-002CSV importRead input.csv in UTF-8/CSV-compatible format and validate header and expected columns.
FS-003Schema validationCheck mandatory fields, column count, unknown key fields and empty mandatory values.
FS-004Type conversionConvert numeric, flag and text values; invalid format is recorded as a row-level error.
FS-005Domain rule engineApply rules for LoD/LoQ Verification Checker, including critical limits from the description and approved specification.
FS-006Status aggregationProduce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-007JSON exportWrite output.json with detailed checks, source values, warnings, failures and critical findings.
FS-008Audit supportKeep result structure suitable for review, deviation investigation and calculation reproduction.
FS-009Integration contractSupport the scenario LIMS/ELN/MES → input.csv → utility → output.json → portal/admin review.
FS-010Error handlingReturn explicit messages for missing file, empty CSV, invalid schema, output write failure and invalid format.

Example output.json

{
  "utilityId": "lodloqverificationchecker",
  "utilityFolder": "LoDLoQVerificationChecker",
  "package": "LiquidBiopsy",
  "overallStatus": "PASS|WARNING|FAIL",
  "sourceFile": "input.csv",
  "processedAtUtc": "2026-06-10T00:00:00Z",
  "checks": [
    {
      "parameter": "AssayName",
      "value": "OncoLiquid_cfDNA",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-001"
    },
    {
      "parameter": "Analyte",
      "value": "EGFR_L858R",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-002"
    },
    {
      "parameter": "VerificationContext",
      "value": "Reagent_Change",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-003"
    },
    {
      "parameter": "DeclaredLoD",
      "value": "0.005",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-004"
    },
    {
      "parameter": "DeclaredLoQ",
      "value": "0.01",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-005"
    },
    {
      "parameter": "Units",
      "value": "% VAF",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-006"
    },
    {
      "parameter": "LoD_NumSamples",
      "value": "5",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-007"
    },
    {
      "parameter": "LoD_NumReplicates",
      "value": "6",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-008"
    },
    {
      "parameter": "LoD_TestConcentration",
      "value": "0.005",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-009"
    },
    {
      "parameter": "LoD_DetectedCount",
      "value": "29",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-010"
    },
    {
      "parameter": "LoD_TargetDetectionRate",
      "value": "0.95",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-011"
    },
    {
      "parameter": "LoD_MinAcceptableDetectionRate",
      "value": "0.90",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-012"
    }
  ],
  "criticalFindings": [],
  "warnings": [],
  "audit": {
    "inputHash": "sha256:<calculated at runtime>",
    "rulesVersion": "<utility executable version>",
    "documentation": "LoDLoQVerificationChecker.documentation.html"
  }
}

Traceability matrix

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

IQ/OQ/PQ test scenarios

IDScenarioExpected result
IQ-001Verify executable, input.csv, documentation and checksum availability.Delivery set is complete; version is recorded.
OQ-001Valid sample row from input.csv.PASS or acceptable WARNING according to rules.
OQ-002Remove a mandatory CSV column.Schema error or FAIL with missing-column reference.
OQ-003Place a non-numeric value into a numeric field.Type-conversion error with row/field reference.
OQ-004Set a critical parameter outside the limit.FAIL and critical finding.
OQ-005Verify output.json structure.All mandatory sections are present and JSON is valid.
OQ-006Verify batch/sample traceability.Input and result identifiers match.
PQ-001Verify 3–5 real user batches/samples.Result is confirmed by QC/QA review.
PQ-002Verify 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

Liquid Biopsy QC Suite

QC and pre-analytical control package for liquid biopsy workflows: cfDNA/ctDNA, CTC, EV/exosomes, methylation, NGS/qPCR/ddPCR, sample quality, contamination, sensitivity and reporting checks.

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