TabletHardnessFriabilityQualityChecker

Tablet Hardness & Friability

LabEx laboratory QC CSV→JSON URS & FS solid dosage forms utilities / cleanroom
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Tablet Hardness & Friability Quality Checker — Control of Tablet Hardness and Friability

ℹ️  Utility assesses mechanical strength of tablets according to USP <1216> (Hardness) and USP <1217> (Friability):
     • Average Hardness: ≥50 N (Newtons) — ensures integrity during handling
     • Friability: Mass loss ≤1.0% after 100 rotations in drum
     • Integrity: No broken or cracked tablets after friability test
     • Control of minimum hardness to prevent capping/chipping

⚠️  CRITICAL: Friability >1.0% is grounds for batch rejection!
     Low hardness leads to dusting, chipping, and coating issues.

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

Input format:
BatchNumber,ProductName,AvgHardnessN,MinHardnessN,MaxHardnessN,FriabilityPercent,BrokenTabletsCount,AvgWeightBeforeG,AvgWeightAfterG

Example:
  TAB-HF-2026-001,Paracetamol 500mg,120.0,105.0,135.0,0.45,0,0.650,0.647

— WHY IS THIS NEEDED?
Mechanical strength is critical for tablet survival during manufacturing (coating), packaging, transport, and patient use.
Too soft tablets crumble, too hard ones may have dissolution issues (checked separately).
Friability test simulates abrasive stress during transport.

⚠️  CRITICAL:
• Friability ≤1.0% — standard limit for most uncoated and coated tablets.
• For effervescent or chewable tablets, limits may be higher (e.g., up to 3.0%) but require justification.
• Broken/Cracked tablets after test are unacceptable, even if mass loss is within limits.
• Hardness must be sufficient to withstand subsequent steps (e.g., pan coating).

Key features:
• Comprehensive assessment of hardness and friability
• Check for physical defects (chips, cracks)
• Mass loss calculation based on input weight data
• Generation of reports for QC departments and LIMS LabWare
• Compliance with USP and GMP requirements

Critical parameters:
• Average Hardness: ≥ 50 N (may vary by tablet size)
• Friability: ≤ 1.0%
• Broken Tablets: 0
• Minimum Hardness: ≥ 40 N (to prevent capping)

💡 Usage tips:
1. Sampling: For friability test, usually enough tablets are taken to weigh about 6.5 g total (or 10-20 pieces).
2. Cleaning: Tablets must be gently cleaned of dust with a soft brush before weighing.
3. Conditions: Test is performed under controlled humidity, as moisture affects the strength of some binders.
4. Interpretation: If friability is close to the limit (0.9-1.0%), it is recommended to increase sample size or repeat test.
5. Correlation: High hardness does not always guarantee low friability (depends on material brittleness).

⚠️ Note: Hardness is measured in Newtons (N) or kiloponds (kp/kp). 1 kp ≈ 9.8 N. Utility uses Newtons as the standard SI unit.

input.csv

BatchNumber,ProductName,AvgHardnessN,MinHardnessN,MaxHardnessN,FriabilityPercent,BrokenTabletsCount,AvgWeightBeforeG,AvgWeightAfterG
TAB-HF-2026-001,Paracetamol 500mg Tablets,120.0,105.0,135.0,0.45,0,0.650,0.647
TAB-HF-2026-002,Ibuprofen 400mg Film-Coated,85.0,70.0,95.0,0.80,0,0.450,0.446
TAB-HF-2026-003,Vitamin C Chewable,60.0,45.0,75.0,1.20,1,1.200,1.185

URS & FS — Tablet Hardness & Friability

This document describes the user requirements and functional specification for TabletHardnessFriabilityQualityChecker. The utility is intended for QC laboratory use as a rule-based check of data prepared from an instrument, LIMS, ELN, MES or an approved input.csv.

URS — User Requirements Specification

IDRequirementCriticalityAcceptance criterion
URS-001The utility shall accept input.csv with approved columns: BatchNumber, ProductName, AvgHardnessN, MinHardnessN, MaxHardnessN, FriabilityPercent, BrokenTabletsCount, AvgWeightBeforeG, AvgWeightAfterG.HighThe CSV file is processed without manual header editing.
URS-002The utility shall perform deterministic evaluation for “Tablet Hardness & Friability” without machine learning.HighThe same input data produce the same JSON result.
URS-003The utility shall validate mandatory fields, numeric formats, flags, ranges and domain plausibility.HighSchema and conversion errors are explicitly reported.
URS-004The utility shall generate output.json with PASS / WARNING / FAIL statuses, source values, warnings and failures.HighThe JSON result is suitable for review, deviation investigation and integration.
URS-005The documentation shall support IQ/OQ/PQ or CSV/CSA verification.MediumURS/FS, CSV/JSON contract and test scenarios are supplied with the utility.

input.csv contract

#FieldSamplePurpose
1BatchNumberTAB-HF-2026-001Input parameter for deterministic QC evaluation.
2ProductNameParacetamol 500mg TabletsInput parameter for deterministic QC evaluation.
3AvgHardnessN120.0Input parameter for deterministic QC evaluation.
4MinHardnessN105.0Input parameter for deterministic QC evaluation.
5MaxHardnessN135.0Input parameter for deterministic QC evaluation.
6FriabilityPercent0.45Input parameter for deterministic QC evaluation.
7BrokenTabletsCount0Input parameter for deterministic QC evaluation.
8AvgWeightBeforeG0.650Input parameter for deterministic QC evaluation.
9AvgWeightAfterG0.647Input parameter for deterministic QC evaluation.

FS — Functional Specification

IDFunctionImplementation
FS-001CSV importRead input.csv; validate header, column count and encoding.
FS-002Schema validationCheck required fields and permitted input values.
FS-003Rule engineApply domain rules, limits and system suitability/specification checks described in the source utility description.
FS-004Status aggregationProduce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-005JSON exportWrite machine-readable output.json for LIMS/ELN/MES and QA/QC review.

OQ/PQ scenarios

  • OQ-001: a valid sample row shall be processed without schema error.
  • OQ-002: a missing mandatory column shall produce a schema error.
  • OQ-003: a non-numeric value in a numeric field shall produce a conversion error.
  • OQ-004: a critical parameter outside the limit shall produce FAIL or a critical finding.
  • PQ-001: user real batches shall be checked with retention of input.csv, output.json, utility version and checksum.

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