CE_mAb_Aggregates_Fragments
CE mAb Aggregates & Fragments
Utility description: CE mAb Aggregates & Fragments
CE mAb Aggregates & Fragments — Control of mAb Aggregates and Fragments (CE-SDS) ℹ️ Utility checks critical purity parameters of monoclonal antibodies: • Aggregates (High Molecular Weight, HMW): ≤2.0% • Main Peak (Intact mAb): ≥95.0% • Fragments (Low Molecular Weight, LMW): ≤3.0% • Resolution between peaks: ≥1.5 ⚠️ CRITICAL: Aggregates >2.0% → risk of immunogenicity (ADA response)! Fragments >3.0% → reduced biological activity of the drug. Usage: CE_mAb_Aggregates_Fragments.exe → demo mode (console output) CE_mAb_Aggregates_Fragments.exe input.csv output.json → evaluate your data Input format: BatchNumber,AggregatesPercent,MainPeakPercent,FragmentsPercent,Resolution Example: MAB-CE-2026-001,0.8,97.5,1.7,2.5 — WHY IS THIS NEEDED? Capillary Electrophoresis in SDS mode (CE-SDS) is the gold standard for protein drug purity assessment. • Allows separation of intact antibodies, their aggregates (dimers, oligomers), and fragments (light and heavy chains). • Aggregates are a critical quality attribute as they can trigger patient immune responses. • Fragments result from hydrolysis or proteolysis and reduce therapeutic efficacy. • The method requires high resolution and precise peak integration. ⚠️ CRITICAL: • Aggregates (HMW) must be minimal (<2.0%). Their presence indicates stability or purification issues. • Main Peak (Intact) must dominate (>95.0%). • Fragments (LMW) are strictly controlled as they lack full activity. • Resolution (Rs) ≥1.5 is necessary for accurate quantification. Key features: • Assessment of mAb purity profile via CE-SDS. • Control of high and low molecular weight impurities. • Compliance with USP <1053> and Ph. Eur. 2.2.47 requirements. Critical parameters: • Aggregates (HMW): ≤2.0% • Main Peak (Intact): ≥95.0% • Fragments (LMW): ≤3.0% • Resolution: ≥1.5 💡 Usage tips: 1. Use Reduced and Non-Reduced conditions for full characterization. 2. For Non-Reduced conditions, main peaks are intact antibody and aggregates. 3. For Reduced conditions, antibody dissociates into Heavy (HC) and Light (LC) chains. 4. Calibrate system using molecular weight standards. 5. Pay attention to potential covalent and non-covalent aggregates. ⚠️ Note: CE-SDS provides better resolution than traditional SDS-PAGE gel electrophoresis and allows precise quantitative assessment without gel staining and scanning.
input.csv
BatchNumber,Aggregates%,MainPeak%,Fragments%,Resolution MAB-CE-2026-001,0.8,97.5,1.7,2.5 MAB-CE-2026-002,1.2,96.0,2.8,2.2 MAB-FAIL-AGG,3.5,94.0,2.5,1.8
Utility description
CE mAb Aggregates & Fragments — Control of mAb Aggregates and Fragments (CE-SDS) ℹ️ Utility checks critical purity parameters of monoclonal antibodies: • Aggregates (High Molecular Weight, HMW): ≤2.0% • Main Peak (Intact mAb): ≥95.0% • Fragments (Low Molecular Weight, LMW): ≤3.0% • Resolution between peaks: ≥1.5 ⚠️ CRITICAL: Aggregates >2.0% → risk of immunogenicity (ADA response)! Fragments >3.0% → reduced biological activity of the drug. Usage: CE_mAb_Aggregates_Fragments.exe → demo mode (console output) CE_mAb_Aggregates_Fragments.exe input.csv output.json → evaluate your data Input format: BatchNumber,AggregatesPercent,MainPeakPercent,FragmentsPercent,Resolution Example: MAB-CE-2026-001,0.8,97.5,1.7,2.5 — WHY IS THIS NEEDED? Capillary Electrophoresis in SDS mode (CE-SDS) is the gold standard for protein drug purity assessment. • Allows separation of intact antibodies, their aggregates (dimers, oligomers), and fragments (light and heavy chains). • Aggregates are a critical quality attribute as they can trigger patient immune responses. • Fragments result from hydrolysis or proteolysis and reduce therapeutic efficacy. • The method requires high resolution and precise peak integration. ⚠️ CRITICAL: • Aggregates (HMW) must be minimal (<2.0%). Their presence indicates stability or purification issues. • Main Peak (Intact) must dominate (>95.0%). • Fragments (LMW) are strictly controlled as they lack full activity. • Resolution (Rs) ≥1.5 is necessary for accurate quantification. Key features: • Assessment of mAb purity profile via CE-SDS. • Control of high and low molecular weight impurities. • Compliance with USP <1053> and Ph. Eur. 2.2.47 requirements. Critical parameters: • Aggregates (HMW): ≤2.0% • Main Peak (Intact): ≥95.0% • Fragments (LMW): ≤3.0% • Resolution: ≥1.5 💡 Usage tips: 1. Use Reduced and Non-Reduced conditions for full characterization. 2. For Non-Reduced conditions, main peaks are intact antibody and aggregates. 3. For Reduced conditions, antibody dissociates into Heavy (HC) and Light (LC) chains. 4. Calibrate system using molecular weight standards. 5. Pay attention to potential covalent and non-covalent aggregates. ⚠️ Note: CE-SDS provides better resolution than traditional SDS-PAGE gel electrophoresis and allows precise quantitative assessment without gel staining and scanning.
URS & FS — User Requirements and Functional Specification
This document describes the controlled interface, user requirements and functional behaviour of CE_mAb_Aggregates_Fragments. 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
- • Allows separation of intact antibodies, their aggregates (dimers, oligomers), and fragments (light and heavy chains).
- • Aggregates are a critical quality attribute as they can trigger patient immune responses.
- • Fragments result from hydrolysis or proteolysis and reduce therapeutic efficacy.
- • The method requires high resolution and precise peak integration.
- • Aggregates (HMW) must be minimal (<2.0%). Their presence indicates stability or purification issues.
- • Main Peak (Intact) must dominate (>95.0%).
- • Fragments (LMW) are strictly controlled as they lack full activity.
- • Resolution (Rs) ≥1.5 is necessary for accurate quantification.
- • Assessment of mAb purity profile via CE-SDS.
- • Control of high and low molecular weight impurities.
- • Compliance with USP <1053> and Ph. Eur. 2.2.47 requirements.
- • Aggregates (HMW): ≤2.0%
- • Main Peak (Intact): ≥95.0%
- • Fragments (LMW): ≤3.0%
- • Resolution: ≥1.5
- • Aggregates (High Molecular Weight, HMW): ≤2.0%
URS — User Requirements Specification
| ID | Requirement | Criticality | Acceptance criterion |
|---|---|---|---|
| URS-001 | The utility shall accept an input.csv file with exact headers defined in the data contract. | High | The file is processed without manual header editing. |
| URS-002 | The utility shall perform deterministic evaluation for CE mAb Aggregates & Fragments using input values, approved limits and domain rules. | High | Each row receives a PASS / WARNING / FAIL status. |
| URS-003 | The utility shall validate mandatory fields, data types, numeric ranges, units and domain plausibility. | High | Schema, format and conversion errors are explicitly reported. |
| URS-004 | The utility shall identify critical deviations for parameters stated in the method description and specification. | High | A critical deviation causes FAIL or a dedicated critical finding. |
| URS-005 | The utility shall generate output.json with machine-readable results, source values, warnings and failures. | High | JSON is suitable for LIMS/ELN/MES integration, QA/QC review and archival. |
| URS-006 | The result shall not depend on machine learning or undocumented heuristics. | Medium | All decisions are based on explicit rules, thresholds and input values. |
| URS-007 | The system shall preserve traceability between batch/sample, input data, applied rules and final status. | High | The output contains the batch/sample identifier and checked parameters. |
| URS-008 | The documentation shall support IQ/OQ/PQ preparation and inspection discussion. | Medium | URS, FS, CSV/JSON contract and test scenarios are supplied with the utility. |
| URS-009 | The utility shall support batch processing of multiple input.csv rows. | Medium | Each row is evaluated independently; errors in one row do not mask errors in others. |
| URS-010 | The utility shall support a simple operating model: demo mode and execution with input/output files. | Medium | The CLI scenario is reproducible in test and production environments. |
input.csv contract
| # | Field | Type | Sample | Purpose |
|---|---|---|---|---|
| 1 | BatchNumber | string | MAB-CE-2026-001 | Batch or lot identifier used for traceability, review and deviation investigation. |
| 2 | Aggregates% | decimal | 0.8 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 3 | MainPeak% | decimal | 97.5 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 4 | Fragments% | decimal | 1.7 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 5 | Resolution | string / decimal | 2.5 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
BatchNumber,Aggregates%,MainPeak%,Fragments%,Resolution MAB-CE-2026-001,0.8,97.5,1.7,2.5 MAB-CE-2026-002,1.2,96.0,2.8,2.2 MAB-FAIL-AGG,3.5,94.0,2.5,1.8
FS — Functional Specification
| ID | Function | Implementation |
|---|---|---|
| FS-001 | CSV import | Read input.csv in UTF-8/CSV-compatible format and validate the header and expected columns. |
| FS-002 | Schema validation | Check mandatory fields, column count, critical missing values and row structure. |
| FS-003 | Type conversion | Convert numeric, flag and text values; invalid formats are recorded as row-level errors. |
| FS-004 | Domain rule engine | Apply domain rules for CE mAb Aggregates & Fragments, including limits from the utility description and approved specification. |
| FS-005 | Status aggregation | Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance. |
| FS-006 | JSON export | Write output.json with detailed checks, source values, warnings, failures and critical findings. |
| FS-007 | Audit support | Keep the result structure suitable for review, deviation investigation, calculation reproduction and IQ/OQ/PQ preparation. |
| FS-008 | Integration contract | Support the production scenario: LIMS/ELN/MES creates input.csv, the utility returns output.json, and the portal displays description and documentation. |
| FS-009 | Error handling | Report errors unambiguously and do not substitute missing values with calculated values unless the rule is explicitly defined. |
| FS-010 | Version control support | Document the utility version, input contract, executable checksum and rule application date. |
Example output.json
{
"utilityId": "ce-mab-aggregates-fragments",
"utilityName": "CE_mAb_Aggregates_Fragments",
"overallStatus": "PASS|WARNING|FAIL",
"sourceFile": "input.csv",
"checks": [
{
"parameter": "BatchNumber",
"value": "MAB-CE-2026-001",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Aggregates%",
"value": "0.8",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "MainPeak%",
"value": "97.5",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Fragments%",
"value": "1.7",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Resolution",
"value": "2.5",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
}
],
"criticalFindings": [],
"warnings": [],
"generatedFor": "QA/QC review and LIMS integration"
}
Traceability matrix
| URS | FS | OQ/PQ coverage |
|---|---|---|
| URS-001, URS-003 | FS-001, FS-002, FS-003 | OQ-001/OQ-002/OQ-003 |
| URS-002, URS-004 | FS-004, FS-005 | OQ-004/PQ-001 |
| URS-005, URS-007 | FS-006, FS-007 | OQ-005/PQ-002 |
| URS-008, URS-010 | FS-008, FS-010 | IQ-001/OQ-006 |
OQ/PQ test scenarios
| ID | Scenario | Expected result |
|---|---|---|
| OQ-001 | Valid sample row | PASS or acceptable WARNING according to the rules. |
| OQ-002 | Mandatory column missing | Schema error or FAIL. |
| OQ-003 | Non-numeric value in numeric field | Type-conversion error. |
| OQ-004 | Critical parameter outside limit | FAIL and critical finding. |
| OQ-005 | Multiple rows with different statuses | Independent row-level evaluation. |
| PQ-001 | User real batch/sample | Reviewed 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
Biopharmaceuticals Extended QC Suite
Extended QC utility coverage for mAbs, biosimilars, proteins, insulins, vaccines, mRNA/LNP, HCP, sterile release, microbiology, water, cleanroom and stability workflows.
OpenImmunology QC Suite
QC utility package for immunology: monoclonal antibodies, biosimilars, immunomodulators, immunosuppressants, ELISA/SPR, HCP, protein characterization, sterility and pyrogen/release checks.
OpenLumex 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