WaterContentKFQualityChecker
Water Content KF
Water Content KF Quality Checker — Water Content Control (Karl Fischer Method)
ℹ️ Utility checks water content by Karl Fischer titration according to Ph. Eur. 2.5.12 and USP <921>:
• Water Content (%) — critical parameter for API stability
• Reagent Titer (mg H2O/mL) — must be in range 4.0–6.0 mg/mL for volumetric titration
• Background Drift (µg/min) — indicator of cell tightness and solvent dryness
• Sample Weight — must ensure sufficient measurement precision
• Support for Volumetric and Coulometric methods
⚠️ CRITICAL: High background drift (>20 µg/min for volumetric) indicates system leakage or wet solvent!
Low reagent titer (<4.0 mg/mL) leads to large titrant volumes and reduced accuracy.
Usage:
WaterContentKFQualityChecker.exe → demo mode (console output)
WaterContentKFQualityChecker.exe input.csv output.json → evaluate your data
Input format:
BatchNumber,ProductName,WaterContentPercent,SampleWeight_mg,Titer_mg_per_ml,VolumeConsumed_ml,MethodType,Drift_uG_per_min
Example:
KF-2026-API-001,Metformin HCl,0.15,250.0,4.85,0.77,Volumetric,12.0
— WHY IS THIS NEEDED?
Water is the most common impurity in pharmaceutical substances.
Excess moisture can cause hydrolysis of the active ingredient, powder caking, microbial growth, and tableting issues.
Karl Fischer method is specific to water, unlike Loss on Drying (LOD).
⚠️ CRITICAL:
• Specificity: Method reacts only with water. Other volatiles do not interfere (unlike LOD).
• Interference: Ketones and aldehydes may undergo side reactions with KF reagent, requiring special reagents.
• Homogeneity: Sample must be representative. For hygroscopic substances, sample introduction must be as fast as possible.
• Calibration: Reagent titer must be determined daily or before each series using water standard (e.g., sodium tartrate dihydrate).
Key features:
• Control of main result (Moisture %)
• Validation of system parameters (Titer, Drift)
• Sample weight sufficiency check
• Separation of logic for volumetric and coulometric methods
• Generation of reports for QC and LIMS LabWare
• Compliance with GMP and Pharmacopoeia requirements
Critical parameters:
• Moisture: according to product specification (e.g., ≤ 0.5%)
• Titer: 4.0 – 6.0 mg/mL (for volumetric method)
• Drift: < 20 µg/min (volumetric), < 5 µg/min (coulometric)
• Sample Weight: ≥ 100 mg (volumetric), ≥ 10 mg (coulometric)
💡 Usage tips:
1. Solvent: Use methanol or special solvents for poorly soluble substances.
2. Homogenization: Ensure sample is fully dissolved or dispersed before starting titration.
3. Syringe Cleanliness: When injecting liquid samples, syringe must be dry.
4. Maintenance: Regularly replace silica gel in drying tubes and membranes in generator (for coulometry).
5. Interpretation: If result varies greatly from sample to sample, check material homogeneity.
⚠️ Note: Karl Fischer method is the "gold standard" for water determination. However, it requires careful instrument maintenance and reagent control, as they are sensitive to atmospheric moisture.input.csv
BatchNumber,ProductName,WaterContentPercent,SampleWeight_mg,Titer_mg_per_ml,VolumeConsumed_ml,MethodType,Drift_uG_per_min KF-2026-API-001,Metformin Hydrochloride,0.15,250.0,4.85,0.77,Volumetric,12.0 KF-2026-API-002,Lactose Monohydrate,4.95,100.0,5.10,9.70,Volumetric,15.0 KF-2026-SOL-003,Trace Water Standard,0.005,50.0,0.00,0.0,Coulometric,2.5
URS & FS — Water Content KF
This document describes the user requirements and functional specification for WaterContentKFQualityChecker. 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
| ID | Requirement | Criticality | Acceptance criterion |
|---|---|---|---|
| URS-001 | The utility shall accept input.csv with approved columns: BatchNumber, ProductName, WaterContentPercent, SampleWeight_mg, Titer_mg_per_ml, VolumeConsumed_ml, MethodType, Drift_uG_per_min. | High | The CSV file is processed without manual header editing. |
| URS-002 | The utility shall perform deterministic evaluation for “Water Content KF” without machine learning. | High | The same input data produce the same JSON result. |
| URS-003 | The utility shall validate mandatory fields, numeric formats, flags, ranges and domain plausibility. | High | Schema and conversion errors are explicitly reported. |
| URS-004 | The utility shall generate output.json with PASS / WARNING / FAIL statuses, source values, warnings and failures. | High | The JSON result is suitable for review, deviation investigation and integration. |
| URS-005 | The documentation shall support IQ/OQ/PQ or CSV/CSA verification. | Medium | URS/FS, CSV/JSON contract and test scenarios are supplied with the utility. |
input.csv contract
| # | Field | Sample | Purpose |
|---|---|---|---|
| 1 | BatchNumber | KF-2026-API-001 | Input parameter for deterministic QC evaluation. |
| 2 | ProductName | Metformin Hydrochloride | Input parameter for deterministic QC evaluation. |
| 3 | WaterContentPercent | 0.15 | Input parameter for deterministic QC evaluation. |
| 4 | SampleWeight_mg | 250.0 | Input parameter for deterministic QC evaluation. |
| 5 | Titer_mg_per_ml | 4.85 | Input parameter for deterministic QC evaluation. |
| 6 | VolumeConsumed_ml | 0.77 | Input parameter for deterministic QC evaluation. |
| 7 | MethodType | Volumetric | Input parameter for deterministic QC evaluation. |
| 8 | Drift_uG_per_min | 12.0 | Input parameter for deterministic QC evaluation. |
FS — Functional Specification
| ID | Function | Implementation |
|---|---|---|
| FS-001 | CSV import | Read input.csv; validate header, column count and encoding. |
| FS-002 | Schema validation | Check required fields and permitted input values. |
| FS-003 | Rule engine | Apply domain rules, limits and system suitability/specification checks described in the source utility description. |
| FS-004 | Status aggregation | Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance. |
| FS-005 | JSON export | Write 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
FAILor 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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