LoBLoDLoQVerificationChecker

LoB/LoD/LoQ Verification

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

LoB/LoD/LoQ Verification Checker — Analytical Sensitivity Limits Verification per CLSI EP17-A3

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

     LIMIT OF BLANK (LoB): Upper measurement limit for analyte-free samples. Parametric: Mean_blank + 1.645×SD_blank.
     LIMIT OF DETECTION (LoD): Minimum concentration distinguishable from zero. Parametric: LoB + 1.645×SD_low. Must be > LoB.
     LIMIT OF QUANTITATION (LoQ): Minimum concentration measurable with acceptable precision and accuracy. CV ≤ target% AND |Bias| ≤ target%.
     DATA SUFFICIENCY (EP17-A3): ≥60 blank measurements, ≥60 low-level measurements, ≥20 LoQ replicates.

⚠️  IMPORTANT:
     • LoD ≤ LoB = logically impossible. Calculation or data error.
     • Insufficient measurements make limits statistically unjustified.
     • LoQ without confirmed CV and bias = arbitrary value, unsuitable for reporting.
     • Method transfer requires VERIFICATION, not just copying of limits.
     • Non-parametric method requires MORE data than parametric.

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

📍 Scope: New assay validation, method transfer, reagent/instrument change, regulatory submissions, liquid biopsy/MRD.

⚠️  CRITICAL:
• Blank/Low-Level Measurements ≥ 60 each
• LoD > LoB (mandatory logical check)
• LoQ CV ≤ Target% | LoQ |Bias| ≤ Target%
• Empirical vs Declared Difference ≤ Max allowed %
• LoQ Replicates ≥ 20

Key features: Three-limit verification, EP17-A3 data sufficiency check, LoQ precision/accuracy assessment, logical consistency validation, four-tier classification, CLSI/FDA/ICH compliance.

💡 Tips: Plan ≥60 blanks + ≥60 low-level BEFORE starting. Use non-parametric if non-normal. Set LoQ targets from clinical requirements. Retain all raw data in validation dossier.

⚠️ Note: Performs STATISTICAL VERIFICATION from summary data. For initial establishment, use specialized software (MedCalc, Analyse-it, R 'MDL') with raw measurements. This utility is for independent verification of pre-calculated limits.

input.csv

AssayName,Analyte,VerificationType,Method,NumBlankSamples,NumBlankReplicates,BlankMean,BlankSD,DeclaredLoB,NumLowSamples,NumLowReplicates,LowSampleMean,LowSampleSD,DeclaredLoD,TargetAlpha,TargetBeta,DeclaredLoQ,LoQ_CV_Observed,MaxLoQ_CV_Percent,LoQ_Bias_Observed_Percent,MaxLoQ_Bias_Percent,NumLoQReplicates,MinLoQReplicates,EmpiricalLoB,EmpiricalLoD,EmpiricalLoQ,MaxLoB_Diff_Percent,MaxLoD_Diff_Percent,MaxLoQ_Diff_Percent
OncoLiquid_cfDNA,EGFR_L858R_VAF,Verification,Parametric,10,6,0.0001,0.00008,0.0003,6,10,0.0012,0.00035,0.0008,0.05,0.05,0.002,15.5,20.0,8.2,20.0,25,20,0.00028,0.00075,0.0019,20,25,25
MRD_Panel_v2,TP53_ctDNA,Transfer,NonParametric,4,5,0.0005,0.0003,0.0012,3,5,0.003,0.0015,0.005,0.05,0.05,0.008,28.0,20.0,22.0,20.0,15,20,0.0011,0.0032,0.012,20,25,25

URS & FS — User Requirements and Functional Specification

This document describes the controlled interface and behaviour of LoBLoDLoQVerificationChecker for LoB/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.
  • LoB/LoD/LoQ Verification Checker — Analytical Sensitivity Limits Verification per CLSI EP17-A3
  • ℹ️ Utility performs statistical verification of sensitivity limits according to CLSI EP17-A3, FDA Bioanalytical Method Validation Guidance and ICH Q2(R2):
  • LIMIT OF BLANK (LoB): Upper measurement limit for analyte-free samples. Parametric: Mean_blank + 1.645×SD_blank.
  • LIMIT OF DETECTION (LoD): Minimum concentration distinguishable from zero. Parametric: LoB + 1.645×SD_low. Must be > LoB.
  • LIMIT OF QUANTITATION (LoQ): Minimum concentration measurable with acceptable precision and accuracy. CV ≤ target% AND |Bias| ≤ target%.
  • DATA SUFFICIENCY (EP17-A3): ≥60 blank measurements, ≥60 low-level measurements, ≥20 LoQ replicates.
  • • LoD ≤ LoB = logically impossible. Calculation or data error.
  • • Insufficient measurements make limits statistically unjustified.
  • • Method transfer requires VERIFICATION, not just copying of limits.
  • ⚠️ CRITICAL:
  • • Blank/Low-Level Measurements ≥ 60 each
  • • LoD > LoB (mandatory logical check)
  • • LoQ CV ≤ Target% | LoQ |Bias| ≤ Target%
  • • Empirical vs Declared Difference ≤ Max allowed %
  • • LoQ Replicates ≥ 20
  • Key features: Three-limit verification, EP17-A3 data sufficiency check, LoQ precision/accuracy assessment, logical consistency validation, four-tier classification, CLSI/FDA/ICH compliance.
  • 💡 Tips: Plan ≥60 blanks + ≥60 low-level BEFORE starting. Use non-parametric if non-normal. Set LoQ targets from clinical requirements. Retain all raw data in validation dossier.
  • ⚠️ Note: Performs STATISTICAL VERIFICATION from summary data. For initial establishment, use specialized software (MedCalc, Analyse-it, R 'MDL') with raw measurements. This utility is for independent verification of pre-calculated limits.

URS — User Requirements Specification

IDRequirementCriticalityAcceptance criterion
URS-001The utility shall accept an input.csv file for LoB/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_L858R_VAFControlled input parameter for deterministic QC rules.
3VerificationTypestring / controlled vocabularyVerificationControlled input parameter for deterministic QC rules.
4Methodstring / controlled vocabularyParametricMethod or process approach; controlled reference value.
5NumBlankSamplesstring / controlled vocabulary10Sample or laboratory specimen identifier.
6NumBlankReplicatesinteger / decimal6Controlled input parameter for deterministic QC rules.
7BlankMeaninteger / decimal0.0001Controlled input parameter for deterministic QC rules.
8BlankSDdecimal0.00008Controlled input parameter for deterministic QC rules.
9DeclaredLoBdecimal0.0003Controlled input parameter for deterministic QC rules.
10NumLowSamplesdecimal6Sample or laboratory specimen identifier.
11NumLowReplicatesinteger / decimal10Controlled input parameter for deterministic QC rules.
12LowSampleMeanstring / controlled vocabulary0.0012Sample or laboratory specimen identifier.
13LowSampleSDstring / controlled vocabulary0.00035Sample or laboratory specimen identifier.
14DeclaredLoDdecimal0.0008Controlled input parameter for deterministic QC rules.
15TargetAlphadecimal0.05pH; parameter relevant to stability, compatibility and batch suitability.
16TargetBetastring / controlled vocabulary0.05Controlled input parameter for deterministic QC rules.
17DeclaredLoQdecimal0.002Controlled input parameter for deterministic QC rules.
18LoQ_CV_Observeddecimal15.5Controlled input parameter for deterministic QC rules.
19MaxLoQ_CV_Percentdecimal20.0Controlled input parameter for deterministic QC rules.
20LoQ_Bias_Observed_Percentdecimal8.2Controlled input parameter for deterministic QC rules.
21MaxLoQ_Bias_Percentdecimal20.0Controlled input parameter for deterministic QC rules.
22NumLoQReplicatesinteger / decimal25Controlled input parameter for deterministic QC rules.
23MinLoQReplicatesinteger / decimal20Controlled input parameter for deterministic QC rules.
24EmpiricalLoBdecimal0.00028Controlled input parameter for deterministic QC rules.
25EmpiricalLoDdecimal0.00075Controlled input parameter for deterministic QC rules.
26EmpiricalLoQdecimal0.0019Controlled input parameter for deterministic QC rules.
27MaxLoB_Diff_Percentdecimal20Controlled input parameter for deterministic QC rules.
28MaxLoD_Diff_Percentdecimal25Controlled input parameter for deterministic QC rules.
29MaxLoQ_Diff_Percentdecimal25Controlled input parameter for deterministic QC rules.
AssayName,Analyte,VerificationType,Method,NumBlankSamples,NumBlankReplicates,BlankMean,BlankSD,DeclaredLoB,NumLowSamples,NumLowReplicates,LowSampleMean,LowSampleSD,DeclaredLoD,TargetAlpha,TargetBeta,DeclaredLoQ,LoQ_CV_Observed,MaxLoQ_CV_Percent,LoQ_Bias_Observed_Percent,MaxLoQ_Bias_Percent,NumLoQReplicates,MinLoQReplicates,EmpiricalLoB,EmpiricalLoD,EmpiricalLoQ,MaxLoB_Diff_Percent,MaxLoD_Diff_Percent,MaxLoQ_Diff_Percent
OncoLiquid_cfDNA,EGFR_L858R_VAF,Verification,Parametric,10,6,0.0001,0.00008,0.0003,6,10,0.0012,0.00035,0.0008,0.05,0.05,0.002,15.5,20.0,8.2,20.0,25,20,0.00028,0.00075,0.0019,20,25,25
MRD_Panel_v2,TP53_ctDNA,Transfer,NonParametric,4,5,0.0005,0.0003,0.0012,3,5,0.003,0.0015,0.005,0.05,0.05,0.008,28.0,20.0,22.0,20.0,15,20,0.0011,0.0032,0.012,20,25,25

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-003VerificationTypeThe field shall match an approved dictionary or accepted string representation.High
VR-004MethodThe field shall match an approved dictionary or accepted string representation.Medium
VR-005NumBlankSamplesThe field shall match an approved dictionary or accepted string representation.Medium
VR-006NumBlankReplicatesThe field shall match an approved dictionary or accepted string representation.Medium
VR-007BlankMeanThe field shall match an approved dictionary or accepted string representation.Medium
VR-008BlankSDThe field shall match an approved dictionary or accepted string representation.Medium
VR-009DeclaredLoBThe field shall match an approved dictionary or accepted string representation.Medium
VR-010NumLowSamplesThe field shall match an approved dictionary or accepted string representation.Medium
VR-011NumLowReplicatesThe field shall match an approved dictionary or accepted string representation.Medium
VR-012LowSampleMeanThe field shall match an approved dictionary or accepted string representation.Medium
VR-013LowSampleSDThe field shall match an approved dictionary or accepted string representation.Medium
VR-014DeclaredLoDThe field shall match an approved dictionary or accepted string representation.Medium
VR-015TargetAlphaThe field shall match an approved dictionary or accepted string representation.Medium
VR-016TargetBetaThe field shall match an approved dictionary or accepted string representation.Medium
VR-017DeclaredLoQThe field shall match an approved dictionary or accepted string representation.Medium
VR-018LoQ_CV_ObservedThe field shall match an approved dictionary or accepted string representation.Medium
VR-019MaxLoQ_CV_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-020LoQ_Bias_Observed_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-021MaxLoQ_Bias_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-022NumLoQReplicatesThe field shall match an approved dictionary or accepted string representation.Medium
VR-023MinLoQReplicatesThe field shall match an approved dictionary or accepted string representation.Medium
VR-024EmpiricalLoBThe field shall match an approved dictionary or accepted string representation.Medium
VR-025EmpiricalLoDThe field shall match an approved dictionary or accepted string representation.Medium
VR-026EmpiricalLoQThe field shall match an approved dictionary or accepted string representation.Medium
VR-027MaxLoB_Diff_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-028MaxLoD_Diff_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-029MaxLoQ_Diff_PercentThe 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 LoB/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": "loblodloqverificationchecker",
  "utilityFolder": "LoBLoDLoQVerificationChecker",
  "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_VAF",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-002"
    },
    {
      "parameter": "VerificationType",
      "value": "Verification",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-003"
    },
    {
      "parameter": "Method",
      "value": "Parametric",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-004"
    },
    {
      "parameter": "NumBlankSamples",
      "value": "10",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-005"
    },
    {
      "parameter": "NumBlankReplicates",
      "value": "6",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-006"
    },
    {
      "parameter": "BlankMean",
      "value": "0.0001",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-007"
    },
    {
      "parameter": "BlankSD",
      "value": "0.00008",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-008"
    },
    {
      "parameter": "DeclaredLoB",
      "value": "0.0003",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-009"
    },
    {
      "parameter": "NumLowSamples",
      "value": "6",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-010"
    },
    {
      "parameter": "NumLowReplicates",
      "value": "10",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-011"
    },
    {
      "parameter": "LowSampleMean",
      "value": "0.0012",
      "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": "LoBLoDLoQVerificationChecker.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.

Open