CE_Peptide_Map_Fingerprint
CE Peptide Map Fingerprint
Utility description: CE Peptide Map Fingerprint
CE Peptide Map Fingerprint — Peptide Mapping of Proteins (CE)
ℹ️ Utility checks critical parameters of recombinant protein peptide maps:
• Peak Count: ≥20 (depends on protein and protease)
• Sequence Coverage: ≥95.0%
• Fingerprint Correlation with reference: ≥0.98
• Novel/Unidentified Peaks Count: 0
⚠️ CRITICAL: Low correlation (<0.98) → protein structure or manufacturing process change!
Appearance of novel peaks → degradation, oxidation, or misfolding.
Usage:
CE_Peptide_Map_Fingerprint.exe → demo mode (console output)
CE_Peptide_Map_Fingerprint.exe input.csv output.json → evaluate your data
Input format:
BatchNumber,PeakCount,SequenceCoveragePercent,FingerprintCorrelation,MainPeakRelativeArea,NovelPeaksCount
Example:
PEPMAP-CE-2026-001,45,98.5,0.995,100.0,0
— WHY IS THIS NEEDED?
Peptide mapping is one of the most stringent tests for identity and quality of protein drugs (mAb, insulin, hormones).
• Protein is digested by a specific protease (e.g., trypsin) into peptides.
• Capillary Electrophoresis (CE) separates peptides by charge and size with high resolution.
• The resulting profile ("fingerprint") is compared with a reference standard.
• Any deviation in the profile (peak shift, appearance/disappearance) indicates changes in primary structure or post-translational modifications.
• Compliance with USP <1053> and Ph. Eur. 2.2.47.
⚠️ CRITICAL:
• Sequence Coverage ≥95% ensures that the majority of the molecule is analyzed.
• Correlation ≥0.98 confirms batch identity to the standard.
• Absence of novel peaks is critical for detecting trace degradation products (deamidation, oxidation).
• Method requires high reproducibility of digestion and separation conditions.
Key features:
• Assessment of peptide map complexity (peak count).
• Calculation of sequence coverage.
• Statistical profile comparison (correlation).
• Control of artifacts or degradation products appearance.
Critical parameters:
• Peak Count: >= 20
• Sequence Coverage: >= 95.0%
• Fingerprint Correlation: >= 0.98
• Novel Peaks: 0
💡 Usage tips:
1. Use standardized proteolysis protocols (time, temperature, enzyme/substrate ratio).
2. Apply fluorescent labeling of peptides (e.g., FITC) for higher sensitivity.
3. Regularly perform System Suitability testing with a standard protein.
4. Compare profiles using specialized peak alignment software.
5. Pay attention to peaks characteristic of specific modifications (e.g., C-terminal lysine clipping for mAb).
⚠️ Note: Unlike mass spectrometry, CE does not provide direct mass information of peptides, but has superior resolution for isoforms and charge variants, making it a complementary method for quality control.input.csv
BatchNumber,PeakCount,Coverage%,Correlation,MainArea%,NovelPeaks PEPMAP-CE-2026-001,45,98.5,0.995,100.0,0 PEPMAP-CE-2026-002,44,97.8,0.992,99.5,0 PEPMAP-FAIL-2026-003,30,85.0,0.920,95.0,3
Utility description
CE Peptide Map Fingerprint — Peptide Mapping of Proteins (CE)
ℹ️ Utility checks critical parameters of recombinant protein peptide maps:
• Peak Count: ≥20 (depends on protein and protease)
• Sequence Coverage: ≥95.0%
• Fingerprint Correlation with reference: ≥0.98
• Novel/Unidentified Peaks Count: 0
⚠️ CRITICAL: Low correlation (<0.98) → protein structure or manufacturing process change!
Appearance of novel peaks → degradation, oxidation, or misfolding.
Usage:
CE_Peptide_Map_Fingerprint.exe → demo mode (console output)
CE_Peptide_Map_Fingerprint.exe input.csv output.json → evaluate your data
Input format:
BatchNumber,PeakCount,SequenceCoveragePercent,FingerprintCorrelation,MainPeakRelativeArea,NovelPeaksCount
Example:
PEPMAP-CE-2026-001,45,98.5,0.995,100.0,0
— WHY IS THIS NEEDED?
Peptide mapping is one of the most stringent tests for identity and quality of protein drugs (mAb, insulin, hormones).
• Protein is digested by a specific protease (e.g., trypsin) into peptides.
• Capillary Electrophoresis (CE) separates peptides by charge and size with high resolution.
• The resulting profile ("fingerprint") is compared with a reference standard.
• Any deviation in the profile (peak shift, appearance/disappearance) indicates changes in primary structure or post-translational modifications.
• Compliance with USP <1053> and Ph. Eur. 2.2.47.
⚠️ CRITICAL:
• Sequence Coverage ≥95% ensures that the majority of the molecule is analyzed.
• Correlation ≥0.98 confirms batch identity to the standard.
• Absence of novel peaks is critical for detecting trace degradation products (deamidation, oxidation).
• Method requires high reproducibility of digestion and separation conditions.
Key features:
• Assessment of peptide map complexity (peak count).
• Calculation of sequence coverage.
• Statistical profile comparison (correlation).
• Control of artifacts or degradation products appearance.
Critical parameters:
• Peak Count: >= 20
• Sequence Coverage: >= 95.0%
• Fingerprint Correlation: >= 0.98
• Novel Peaks: 0
💡 Usage tips:
1. Use standardized proteolysis protocols (time, temperature, enzyme/substrate ratio).
2. Apply fluorescent labeling of peptides (e.g., FITC) for higher sensitivity.
3. Regularly perform System Suitability testing with a standard protein.
4. Compare profiles using specialized peak alignment software.
5. Pay attention to peaks characteristic of specific modifications (e.g., C-terminal lysine clipping for mAb).
⚠️ Note: Unlike mass spectrometry, CE does not provide direct mass information of peptides, but has superior resolution for isoforms and charge variants, making it a complementary method for quality control.URS & FS — User Requirements and Functional Specification
This document describes the controlled interface, user requirements and functional behaviour of CE_Peptide_Map_Fingerprint. 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
- • Peak Count: ≥20 (depends on protein and protease)
- • Sequence Coverage: ≥95.0%
- • Fingerprint Correlation with reference: ≥0.98
- • Novel/Unidentified Peaks Count: 0
- • Protein is digested by a specific protease (e.g., trypsin) into peptides.
- • Capillary Electrophoresis (CE) separates peptides by charge and size with high resolution.
- • The resulting profile ("fingerprint") is compared with a reference standard.
- • Any deviation in the profile (peak shift, appearance/disappearance) indicates changes in primary structure or post-translational modifications.
- • Compliance with USP <1053> and Ph. Eur. 2.2.47.
- • Sequence Coverage ≥95% ensures that the majority of the molecule is analyzed.
- • Correlation ≥0.98 confirms batch identity to the standard.
- • Absence of novel peaks is critical for detecting trace degradation products (deamidation, oxidation).
- • Method requires high reproducibility of digestion and separation conditions.
- • Assessment of peptide map complexity (peak count).
- • Calculation of sequence coverage.
- • Statistical profile comparison (correlation).
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 Peptide Map Fingerprint 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 | PEPMAP-CE-2026-001 | Batch or lot identifier used for traceability, review and deviation investigation. |
| 2 | PeakCount | integer | 45 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 3 | Coverage% | decimal | 98.5 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 4 | Correlation | string / decimal | 0.995 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 5 | MainArea% | decimal | 100.0 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 6 | NovelPeaks | string / decimal | 0 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
BatchNumber,PeakCount,Coverage%,Correlation,MainArea%,NovelPeaks PEPMAP-CE-2026-001,45,98.5,0.995,100.0,0 PEPMAP-CE-2026-002,44,97.8,0.992,99.5,0 PEPMAP-FAIL-2026-003,30,85.0,0.920,95.0,3
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 Peptide Map Fingerprint, 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-peptide-map-fingerprint",
"utilityName": "CE_Peptide_Map_Fingerprint",
"overallStatus": "PASS|WARNING|FAIL",
"sourceFile": "input.csv",
"checks": [
{
"parameter": "BatchNumber",
"value": "PEPMAP-CE-2026-001",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "PeakCount",
"value": "45",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Coverage%",
"value": "98.5",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Correlation",
"value": "0.995",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "MainArea%",
"value": "100.0",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "NovelPeaks",
"value": "0",
"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
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OpenEndocrinology QC Suite
QC package for endocrinology: thyroid, pituitary/peptide hormones, corticosteroids, sex hormones and selected metabolic medicines.
OpenGastroenterology QC Suite
QC package for gastroenterology: PPIs, antiemetics, prokinetics, IBD medicines, laxatives, enzymes and GI anti-infectives.
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
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OpenRadiology QC Suite
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Open