Excipient_Incoming_QC_Library
Excipient Incoming QC Library
Lumex QC URS & FS input.csv output.json rule-based LIMS-ready excipients
Open selectionUtility description: Excipient Incoming QC Library
Excipient Incoming QC Library — Identification of Excipients (IR Spectroscopy)
ℹ️ Utility checks identity of incoming excipients using IR spectroscopy:
• Hit Quality Index (HQI / Correlation): ≥0.95
• Identification: Matched material name must strictly equal expected material
• Specificity: Difference between best and second-best match >0.05
⚠️ CRITICAL: Low HQI (<0.95) or name mismatch → BATCH REJECTION!
Risk of using wrong excipient (e.g., starch instead of lactose).
Usage:
Excipient_Incoming_QC_Library.exe → demo mode (console output)
Excipient_Incoming_QC_Library.exe input.csv output.json → evaluate your data
Input format:
BatchNumber,ExpectedMaterial,CorrelationIndex,MatchedMaterial,SecondBestCorrelation
Example:
EXC-LAC-2026-001,Lactose_Monohydrate,0.992,Lactose_Monohydrate,0.850
— WHY IS THIS NEEDED?
Incoming control of excipients is a GMP and pharmacopoeial requirement (Ph. Eur. 2.2.24, USP <854>).
• IR spectroscopy ("fingerprint") is the primary method for rapid and reliable raw material identification.
• Allows distinction of chemically similar substances (e.g., different polymorphs, hydrates/anhydrides, starch types).
• Using a spectral library automates the warehouse acceptance process.
• Prevents mix-up errors and raw material falsification.
⚠️ CRITICAL:
• HQI ≥0.95 — standard threshold for confident identification of pure substances.
• Strict name matching (Expected == Matched) eliminates operator error risk in method selection.
• Control of difference with second-best match (Specificity Delta) ensures spectrum is unique and not similar to another library substance.
• For hygroscopic substances (MCC, povidone), consider moisture influence on spectrum or use NIR with appropriate models.
Key features:
• Automatic check of spectrum compliance with library reference.
• Identification specificity control.
• Integration with warehouse management systems and LIMS.
Critical parameters:
• Correlation Index (HQI): >= 0.95
• Name Match: True
• Specificity Delta: > 0.05
💡 Usage tips:
1. Regularly update spectral library by adding spectra from different suppliers.
2. For NIR analysis, use models validated for specific moisture and bulk density ranges.
3. Clean instrument window before each measurement, especially when working with powders.
4. If HQI is low, visually inspect sample and repeat measurement at another point.
5. Use this utility for primary screening; confirm results with chromatography or other methods if in doubt.
⚠️ Note: IR method is sensitive to sample physical state (particle size, polymorphic form). Ensure reference spectra in library are obtained for the same physical form as tested raw material.input.csv
BatchNumber,ExpectedMaterial,HQI,MatchedMaterial,SecondBestHQI EXC-LAC-2026-001,Lactose_Monohydrate,0.992,Lactose_Monohydrate,0.850 EXC-MCC-2026-001,Microcrystalline_Cellulose,0.985,Microcrystalline_Cellulose,0.720 EXC-FAIL-2026-001,Lactose_Monohydrate,0.850,Starch_Potato,0.840
Utility description
Excipient Incoming QC Library — Identification of Excipients (IR Spectroscopy)
ℹ️ Utility checks identity of incoming excipients using IR spectroscopy:
• Hit Quality Index (HQI / Correlation): ≥0.95
• Identification: Matched material name must strictly equal expected material
• Specificity: Difference between best and second-best match >0.05
⚠️ CRITICAL: Low HQI (<0.95) or name mismatch → BATCH REJECTION!
Risk of using wrong excipient (e.g., starch instead of lactose).
Usage:
Excipient_Incoming_QC_Library.exe → demo mode (console output)
Excipient_Incoming_QC_Library.exe input.csv output.json → evaluate your data
Input format:
BatchNumber,ExpectedMaterial,CorrelationIndex,MatchedMaterial,SecondBestCorrelation
Example:
EXC-LAC-2026-001,Lactose_Monohydrate,0.992,Lactose_Monohydrate,0.850
— WHY IS THIS NEEDED?
Incoming control of excipients is a GMP and pharmacopoeial requirement (Ph. Eur. 2.2.24, USP <854>).
• IR spectroscopy ("fingerprint") is the primary method for rapid and reliable raw material identification.
• Allows distinction of chemically similar substances (e.g., different polymorphs, hydrates/anhydrides, starch types).
• Using a spectral library automates the warehouse acceptance process.
• Prevents mix-up errors and raw material falsification.
⚠️ CRITICAL:
• HQI ≥0.95 — standard threshold for confident identification of pure substances.
• Strict name matching (Expected == Matched) eliminates operator error risk in method selection.
• Control of difference with second-best match (Specificity Delta) ensures spectrum is unique and not similar to another library substance.
• For hygroscopic substances (MCC, povidone), consider moisture influence on spectrum or use NIR with appropriate models.
Key features:
• Automatic check of spectrum compliance with library reference.
• Identification specificity control.
• Integration with warehouse management systems and LIMS.
Critical parameters:
• Correlation Index (HQI): >= 0.95
• Name Match: True
• Specificity Delta: > 0.05
💡 Usage tips:
1. Regularly update spectral library by adding spectra from different suppliers.
2. For NIR analysis, use models validated for specific moisture and bulk density ranges.
3. Clean instrument window before each measurement, especially when working with powders.
4. If HQI is low, visually inspect sample and repeat measurement at another point.
5. Use this utility for primary screening; confirm results with chromatography or other methods if in doubt.
⚠️ Note: IR method is sensitive to sample physical state (particle size, polymorphic form). Ensure reference spectra in library are obtained for the same physical form as tested raw material.URS & FS — User Requirements and Functional Specification
This document describes the controlled interface, user requirements and functional behaviour of Excipient_Incoming_QC_Library. 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
Before production use, all limits must be verified against the approved specification, registration dossier, pharmacopoeial monograph, validated method and local SOPs.
- • IR spectroscopy ("fingerprint") is the primary method for rapid and reliable raw material identification.
- • Allows distinction of chemically similar substances (e.g., different polymorphs, hydrates/anhydrides, starch types).
- • Using a spectral library automates the warehouse acceptance process.
- • Prevents mix-up errors and raw material falsification.
- • HQI ≥0.95 — standard threshold for confident identification of pure substances.
- • Strict name matching (Expected == Matched) eliminates operator error risk in method selection.
- • Control of difference with second-best match (Specificity Delta) ensures spectrum is unique and not similar to another library substance.
- • For hygroscopic substances (MCC, povidone), consider moisture influence on spectrum or use NIR with appropriate models.
- • Automatic check of spectrum compliance with library reference.
- • Identification specificity control.
- • Integration with warehouse management systems and LIMS.
- • Correlation Index (HQI): >= 0.95
- • Name Match: True
- • Specificity Delta: > 0.05
- • Hit Quality Index (HQI / Correlation): ≥0.95
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 Excipient Incoming QC Library 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 | EXC-LAC-2026-001 | Batch or lot identifier used for traceability, review and deviation investigation. |
| 2 | ExpectedMaterial | string / decimal | Lactose_Monohydrate | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 3 | HQI | string / decimal | 0.992 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 4 | MatchedMaterial | string / decimal | Lactose_Monohydrate | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 5 | SecondBestHQI | string / decimal | 0.850 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
BatchNumber,ExpectedMaterial,HQI,MatchedMaterial,SecondBestHQI EXC-LAC-2026-001,Lactose_Monohydrate,0.992,Lactose_Monohydrate,0.850 EXC-MCC-2026-001,Microcrystalline_Cellulose,0.985,Microcrystalline_Cellulose,0.720 EXC-FAIL-2026-001,Lactose_Monohydrate,0.850,Starch_Potato,0.840
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 Excipient Incoming QC Library, 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": "excipient-incoming-qc-library",
"utilityName": "Excipient_Incoming_QC_Library",
"overallStatus": "PASS|WARNING|FAIL",
"sourceFile": "input.csv",
"checks": [
{
"parameter": "BatchNumber",
"value": "EXC-LAC-2026-001",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "ExpectedMaterial",
"value": "Lactose_Monohydrate",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "HQI",
"value": "0.992",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "MatchedMaterial",
"value": "Lactose_Monohydrate",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "SecondBestHQI",
"value": "0.850",
"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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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.
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QC package for radiology and diagnostic imaging: radiopharmaceuticals, PET/SPECT, contrast media, iodinated and gadolinium products, plus particle, sterility and endotoxin checks.
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