Content_Uniformity_Acceptance_Value

Content Uniformity Acceptance Value

Lumex QC URS & FS input.csv output.json rule-based LIMS-ready content uniformity
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Utility description: Content Uniformity Acceptance Value

Content Uniformity Acceptance Value — Calculation of AV for Uniformity of Dosage Units

ℹ️  Utility calculates Acceptance Value (AV) according to USP <905> and Ph. Eur. 2.9.40:
   • Input: 10 individual active substance contents (% of Label Claim).
   • Formula: AV = |M - x̄| + k * s
     - x̄: mean content
     - s: sample standard deviation
     - k: 2.4 (for n=10)
     - M: reference value (100.0 if 98.5 ≤ x̄ ≤ 101.5; otherwise boundary)
   • Passing Criteria (Stage 1): AV ≤ 15.0 AND all units within 75.0–125.0%.

⚠️  CRITICAL: AV > 15.0 → batch fails uniformity requirements!
   Any unit outside 75-125% results in automatic failure.

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

Input format:
BatchNumber,Unit1,Unit2,Unit3,Unit4,Unit5,Unit6,Unit7,Unit8,Unit9,Unit10

Example:
 TAB-CU-2026-001,98.5,101.2,99.0,100.5,97.8,102.1,99.5,100.0,98.9,101.5

— WHY IS THIS NEEDED?
Content Uniformity (CU) ensures that each tablet or capsule contains the correct amount of active ingredient.
• This is a critical quality attribute for solid dosage forms with low API potency.
• USP <905> and Ph. Eur. 2.9.40 use a statistical approach (Acceptance Value) to assess variability.
• AV calculation accounts for both bias (accuracy) and spread (precision).
• Automation eliminates manual calculation errors for standard deviation and AV.

⚠️  CRITICAL:
• For Stage 1 (n=10), the AV limit is 15.0.
• If AV > 15.0 but ≤ 25.0, testing of additional 20 units may be required (Stage 2).
• Any unit outside 75.0–125.0% of Label Claim leads to batch failure at Stage 1.
• M value adjusts if mean deviates from 98.5–101.5%, penalizing for bias.

Key features:
• Automatic AV calculation per USP/Ph.Eur. formula.
• Check of individual limits (75-125%).
• Generation of LIMS-compatible JSON report.

Critical parameters:
• Acceptance Value (AV): <= 15.0
• Individual Limits: 75.0% - 125.0%

💡 Usage tips:
1. Ensure input data is expressed as % of Label Claim.
2. Use precise analytical methods (HPLC) to determine content in each unit.
3. If batch fails Stage 1, investigate process variability causes (mixing, compression).
4. This utility implements Stage 1 logic. Stage 2 (n=30) requires extended logic (not included in this version).

⚠️ Note: The calculation of M (reference value) is a key difference of the AV method from simple RSD calculation. It penalizes batches where the mean content significantly deviates from 100%, even if the spread (SD) is small.

input.csv

BatchNumber,Unit1%,Unit2%,Unit3%,Unit4%,Unit5%,Unit6%,Unit7%,Unit8%,Unit9%,Unit10%
TAB-CU-2026-001,98.5,101.2,99.0,100.5,97.8,102.1,99.5,100.0,98.9,101.5
TAB-CU-2026-002,95.0,105.0,92.0,108.0,96.0,104.0,93.0,107.0,94.0,106.0
TAB-FAIL-2026-003,80.0,120.0,85.0,115.0,82.0,118.0,83.0,117.0,81.0,119.0

Utility description

Content Uniformity Acceptance Value — Calculation of AV for Uniformity of Dosage Units

ℹ️  Utility calculates Acceptance Value (AV) according to USP <905> and Ph. Eur. 2.9.40:
   • Input: 10 individual active substance contents (% of Label Claim).
   • Formula: AV = |M - x̄| + k * s
     - x̄: mean content
     - s: sample standard deviation
     - k: 2.4 (for n=10)
     - M: reference value (100.0 if 98.5 ≤ x̄ ≤ 101.5; otherwise boundary)
   • Passing Criteria (Stage 1): AV ≤ 15.0 AND all units within 75.0–125.0%.

⚠️  CRITICAL: AV > 15.0 → batch fails uniformity requirements!
   Any unit outside 75-125% results in automatic failure.

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

Input format:
BatchNumber,Unit1,Unit2,Unit3,Unit4,Unit5,Unit6,Unit7,Unit8,Unit9,Unit10

Example:
 TAB-CU-2026-001,98.5,101.2,99.0,100.5,97.8,102.1,99.5,100.0,98.9,101.5

— WHY IS THIS NEEDED?
Content Uniformity (CU) ensures that each tablet or capsule contains the correct amount of active ingredient.
• This is a critical quality attribute for solid dosage forms with low API potency.
• USP <905> and Ph. Eur. 2.9.40 use a statistical approach (Acceptance Value) to assess variability.
• AV calculation accounts for both bias (accuracy) and spread (precision).
• Automation eliminates manual calculation errors for standard deviation and AV.

⚠️  CRITICAL:
• For Stage 1 (n=10), the AV limit is 15.0.
• If AV > 15.0 but ≤ 25.0, testing of additional 20 units may be required (Stage 2).
• Any unit outside 75.0–125.0% of Label Claim leads to batch failure at Stage 1.
• M value adjusts if mean deviates from 98.5–101.5%, penalizing for bias.

Key features:
• Automatic AV calculation per USP/Ph.Eur. formula.
• Check of individual limits (75-125%).
• Generation of LIMS-compatible JSON report.

Critical parameters:
• Acceptance Value (AV): <= 15.0
• Individual Limits: 75.0% - 125.0%

💡 Usage tips:
1. Ensure input data is expressed as % of Label Claim.
2. Use precise analytical methods (HPLC) to determine content in each unit.
3. If batch fails Stage 1, investigate process variability causes (mixing, compression).
4. This utility implements Stage 1 logic. Stage 2 (n=30) requires extended logic (not included in this version).

⚠️ Note: The calculation of M (reference value) is a key difference of the AV method from simple RSD calculation. It penalizes batches where the mean content significantly deviates from 100%, even if the spread (SD) is small.

URS & FS — User Requirements and Functional Specification

This document describes the controlled interface, user requirements and functional behaviour of Content_Uniformity_Acceptance_Value. The utility is intended for automated verification of laboratory, pharmacopoeial, analytical or manufacturing QC parameters using input.csv and producing a structured output.json result.

Domain limits and critical parameters

Before production use, all limits must be verified against the approved specification, registration dossier, pharmacopoeial monograph, validated method and local SOPs.
  • • This is a critical quality attribute for solid dosage forms with low API potency.
  • • USP <905> and Ph. Eur. 2.9.40 use a statistical approach (Acceptance Value) to assess variability.
  • • AV calculation accounts for both bias (accuracy) and spread (precision).
  • • Automation eliminates manual calculation errors for standard deviation and AV.
  • • For Stage 1 (n=10), the AV limit is 15.0.
  • • If AV > 15.0 but ≤ 25.0, testing of additional 20 units may be required (Stage 2).
  • • Any unit outside 75.0–125.0% of Label Claim leads to batch failure at Stage 1.
  • • M value adjusts if mean deviates from 98.5–101.5%, penalizing for bias.
  • • Automatic AV calculation per USP/Ph.Eur. formula.
  • • Check of individual limits (75-125%).
  • • Generation of LIMS-compatible JSON report.
  • • Acceptance Value (AV): <= 15.0
  • • Individual Limits: 75.0% - 125.0%
  • - M: reference value (100.0 if 98.5 ≤ x̄ ≤ 101.5; otherwise boundary)
  • • Passing Criteria (Stage 1): AV ≤ 15.0 AND all units within 75.0–125.0%.

URS — User Requirements Specification

IDRequirementCriticalityAcceptance criterion
URS-001The utility shall accept an input.csv file with exact headers defined in the data contract.HighThe file is processed without manual header editing.
URS-002The utility shall perform deterministic evaluation for Content Uniformity Acceptance Value using input values, approved limits and domain rules.HighEach row receives a PASS / WARNING / FAIL status.
URS-003The utility shall validate mandatory fields, data types, numeric ranges, units and domain plausibility.HighSchema, format and conversion errors are explicitly reported.
URS-004The utility shall identify critical deviations for parameters stated in the method description and specification.HighA critical deviation causes FAIL or a dedicated critical finding.
URS-005The utility shall generate output.json with machine-readable results, source values, warnings and failures.HighJSON is suitable for LIMS/ELN/MES integration, QA/QC review and archival.
URS-006The result shall not depend on machine learning or undocumented heuristics.MediumAll decisions are based on explicit rules, thresholds and input values.
URS-007The system shall preserve traceability between batch/sample, input data, applied rules and final status.HighThe output contains the batch/sample identifier and checked parameters.
URS-008The documentation shall support IQ/OQ/PQ preparation and inspection discussion.MediumURS, FS, CSV/JSON contract and test scenarios are supplied with the utility.
URS-009The utility shall support batch processing of multiple input.csv rows.MediumEach row is evaluated independently; errors in one row do not mask errors in others.
URS-010The utility shall support a simple operating model: demo mode and execution with input/output files.MediumThe CLI scenario is reproducible in test and production environments.

input.csv contract

#FieldTypeSamplePurpose
1BatchNumberstringTAB-CU-2026-001Batch or lot identifier used for traceability, review and deviation investigation.
2Unit1%decimal98.5Controlled input parameter used by deterministic QC rules and traceable result generation.
3Unit2%decimal101.2Controlled input parameter used by deterministic QC rules and traceable result generation.
4Unit3%decimal99.0Controlled input parameter used by deterministic QC rules and traceable result generation.
5Unit4%decimal100.5Controlled input parameter used by deterministic QC rules and traceable result generation.
6Unit5%decimal97.8Controlled input parameter used by deterministic QC rules and traceable result generation.
7Unit6%decimal102.1Controlled input parameter used by deterministic QC rules and traceable result generation.
8Unit7%decimal99.5Controlled input parameter used by deterministic QC rules and traceable result generation.
9Unit8%decimal100.0Controlled input parameter used by deterministic QC rules and traceable result generation.
10Unit9%decimal98.9Controlled input parameter used by deterministic QC rules and traceable result generation.
11Unit10%decimal101.5Controlled input parameter used by deterministic QC rules and traceable result generation.
BatchNumber,Unit1%,Unit2%,Unit3%,Unit4%,Unit5%,Unit6%,Unit7%,Unit8%,Unit9%,Unit10%
TAB-CU-2026-001,98.5,101.2,99.0,100.5,97.8,102.1,99.5,100.0,98.9,101.5
TAB-CU-2026-002,95.0,105.0,92.0,108.0,96.0,104.0,93.0,107.0,94.0,106.0
TAB-FAIL-2026-003,80.0,120.0,85.0,115.0,82.0,118.0,83.0,117.0,81.0,119.0

FS — Functional Specification

IDFunctionImplementation
FS-001CSV importRead input.csv in UTF-8/CSV-compatible format and validate the header and expected columns.
FS-002Schema validationCheck mandatory fields, column count, critical missing values and row structure.
FS-003Type conversionConvert numeric, flag and text values; invalid formats are recorded as row-level errors.
FS-004Domain rule engineApply domain rules for Content Uniformity Acceptance Value, including limits from the utility description and approved specification.
FS-005Status aggregationProduce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-006JSON exportWrite output.json with detailed checks, source values, warnings, failures and critical findings.
FS-007Audit supportKeep the result structure suitable for review, deviation investigation, calculation reproduction and IQ/OQ/PQ preparation.
FS-008Integration contractSupport the production scenario: LIMS/ELN/MES creates input.csv, the utility returns output.json, and the portal displays description and documentation.
FS-009Error handlingReport errors unambiguously and do not substitute missing values with calculated values unless the rule is explicitly defined.
FS-010Version control supportDocument the utility version, input contract, executable checksum and rule application date.

Example output.json

{
  "utilityId": "content-uniformity-acceptance-value",
  "utilityName": "Content_Uniformity_Acceptance_Value",
  "overallStatus": "PASS|WARNING|FAIL",
  "sourceFile": "input.csv",
  "checks": [
    {
      "parameter": "BatchNumber",
      "value": "TAB-CU-2026-001",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit1%",
      "value": "98.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit2%",
      "value": "101.2",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit3%",
      "value": "99.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit4%",
      "value": "100.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit5%",
      "value": "97.8",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit6%",
      "value": "102.1",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit7%",
      "value": "99.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit8%",
      "value": "100.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit9%",
      "value": "98.9",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Unit10%",
      "value": "101.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    }
  ],
  "criticalFindings": [],
  "warnings": [],
  "generatedFor": "QA/QC review and LIMS integration"
}

Traceability matrix

URSFSOQ/PQ coverage
URS-001, URS-003FS-001, FS-002, FS-003OQ-001/OQ-002/OQ-003
URS-002, URS-004FS-004, FS-005OQ-004/PQ-001
URS-005, URS-007FS-006, FS-007OQ-005/PQ-002
URS-008, URS-010FS-008, FS-010IQ-001/OQ-006

OQ/PQ test scenarios

IDScenarioExpected result
OQ-001Valid sample rowPASS or acceptable WARNING according to the rules.
OQ-002Mandatory column missingSchema error or FAIL.
OQ-003Non-numeric value in numeric fieldType-conversion error.
OQ-004Critical parameter outside limitFAIL and critical finding.
OQ-005Multiple rows with different statusesIndependent row-level evaluation.
PQ-001User real batch/sampleReviewed result with retained input/output files.

QA/QC and change control

  • Do not rename columns without updating the validator, documentation and test set.
  • Retain input.csv, output.json, executable version, documentation and checksum.
  • Before production use, perform IQ/OQ/PQ or equivalent CSV/CSA verification.
  • Critical limits must be verified against the approved specification, local SOPs and registration dossier.

Included in packages

Lumex QC Suite

A single Lumex package combining the former Lumex and Lumex2 sets: instrumental and general pharmaceutical QC, AAS/ICP, CE, HPLC, NIR/PAT, stability, dissolution, content uniformity, system suitability and statistical control.

Open