ChargeVariantCEQualityChecker
Charge Variant CE
Charge Variant CE Quality Checker — Analysis of Monoclonal Antibody Charge Variants (CE-cIEF) ℹ️ Utility checks critical parameters of charge variant distribution: • Acidic Variants: ≤15.0% • Main Variant: ≥70.0% • Basic Variants: ≤20.0% • Acidic/Basic Ratio: 0.5–1.5 ⚠️ CRITICAL: High level of acidic variants (>15%) indicates deamidation! Charge profile changes affect Fc-receptor binding and clearance. Usage: ChargeVariantCEQualityChecker.exe → demo mode (console output) ChargeVariantCEQualityChecker.exe input.csv output.json → evaluate your data Input format: BatchNumber,AcidicVariantsPercent,MainVariantPercent,BasicVariantsPercent,AcidicBasicRatio Example: MAB-CHV-2026-001,12.0,75.0,13.0,0.92 — WHY IS THIS NEEDED? Monoclonal antibodies are charge-heterogeneous due to post-translational modifications. • Capillary Isoelectric Focusing (cIEF) is the gold standard for separating these variants. • Acidic variants often result from asparagine deamidation or glycation. • Basic variants are often associated with C-terminal lysine on heavy chains. • Charge variant profile is a Critical Quality Attribute (CQA) affecting pharmacokinetics (PK) and efficacy. • USP <1053> and Ph. Eur. 2.2.47 describe capillary electrophoresis methods for proteins. ⚠️ CRITICAL: • Deamidation (acidic peaks) can reduce drug potency. • Presence of C-terminal lysine (basic peaks) can affect antigen binding. • Profile must be consistent from batch to batch. • Method requires high reproducibility of pH gradient in the capillary. Key features: • Assessment of mAb acidity/basicity profile. • Control of specific modifications (deamidation, lysine clipping). • Compliance with USP <1053> and Ph. Eur. 2.2.47 requirements. Critical parameters: • Acidic Variants: <= 15.0% • Main Variant: >= 70.0% • Basic Variants: <= 20.0% • Acidic/Basic Ratio: 0.5-1.5 💡 Usage tips: 1. Use high-resolution ampholytes to create a stable pH gradient. 2. Perform sample pretreatment (dialysis/dilution) to remove salts. 3. Calibrate system using standard proteins with known pI. 4. Monitor migration time drift as an indicator of capillary condition. 5. Compare profiles with the reference standard of the specific molecule. ⚠️ Note: Unlike SEC-HPLC, which separates by size, cIEF separates by isoelectric point (pI), allowing detection of even point charge changes that do not affect molecule size.
input.csv
BatchNumber,Acidic%,Main%,Basic%,Ratio MAB-CHV-2026-001,12.0,75.0,13.0,0.92 MAB-CHV-2026-002,14.5,72.0,13.5,1.07 MAB-FAIL-DEAMID,25.0,60.0,15.0,1.66
URS & FS — Charge Variant CE
This document describes the user requirements and functional specification for ChargeVariantCEQualityChecker. 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, Acidic%, Main%, Basic%, Ratio. | High | The CSV file is processed without manual header editing. |
| URS-002 | The utility shall perform deterministic evaluation for “Charge Variant CE” 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 | MAB-CHV-2026-001 | Input parameter for deterministic QC evaluation. |
| 2 | Acidic% | 12.0 | Input parameter for deterministic QC evaluation. |
| 3 | Main% | 75.0 | Input parameter for deterministic QC evaluation. |
| 4 | Basic% | 13.0 | Input parameter for deterministic QC evaluation. |
| 5 | Ratio | 0.92 | 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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