RamanIdentityQualityChecker
Raman Identity
Raman Identity Quality Checker — Substance Identification by Raman Spectroscopy ℹ️ Utility checks critical parameters of Raman spectral identification: • Hit Quality Index (HQI / Correlation): ≥0.95 • Identification: Matched material name must strictly equal expected material • Signal-to-Noise Ratio (S/N): >10 • Fluorescence: Absence of strong background fluorescence (Flag = 0) ⚠️ CRITICAL: Low HQI (<0.95) or presence of fluorescence → BATCH REJECTION or need for alternative method! Raman spectroscopy is sensitive to fluorescent impurities. Usage: RamanIdentityQualityChecker.exe → demo mode (console output) RamanIdentityQualityChecker.exe input.csv output.json → evaluate your data Input format: BatchNumber,ExpectedMaterial,CorrelationIndex,MatchedMaterial,SignalToNoiseRatio,HighFluorescenceFlag Example: RAMAN-API-2026-001,Ibuprofen,0.98,Ibuprofen,50.0,0 — WHY IS THIS NEEDED? Raman spectroscopy is a powerful tool for non-destructive control and identification. • Allows analysis through transparent packaging (glass, plastic), accelerating incoming QC. • Less sensitive to water, making it ideal for aqueous solutions and hydrates. • Complementary to IR spectroscopy: different types of vibrations are active. • Using spectral libraries automates the process and reduces operator error risk. ⚠️ CRITICAL: • HQI ≥0.95 — standard threshold for confident identification. • Sample or packaging fluorescence can completely "swamp" the Raman signal. • Strict name matching (Expected == Matched) eliminates method selection error risk. • Laser power must be adjusted to avoid thermal degradation of the sample. Key features: • Automatic check of spectrum compliance with library reference. • Control of signal quality (S/N) and presence of fluorescence. • Integration with warehouse management systems and LIMS. Critical parameters: • Correlation Index (HQI): >= 0.95 • Name Match: True • Signal-to-Noise: > 10 • Fluorescence: None (Flag 0) 💡 Usage tips: 1. Regularly update spectral library by adding references from different suppliers. 2. For fluorescent samples, try using a laser with different wavelength (e.g., 785 nm or 1064 nm instead of 532 nm). 3. Clean probe window before each measurement. 4. If HQI is low, visually inspect sample and repeat measurement at different spot. 5. Use this utility for primary screening; confirm results with IR method if in doubt. ⚠️ Note: Unlike IR spectroscopy, Raman is weakly affected by water but suffers greatly from fluorescence. This makes the methods complementary.
input.csv
BatchNumber,ExpectedMaterial,HQI,MatchedMaterial,SN_Ratio,FluorescenceFlag RAMAN-API-2026-001,Ibuprofen,0.98,Ibuprofen,50.0,0 RAMAN-EXC-2026-001,Microcrystalline_Cellulose,0.97,Microcrystalline_Cellulose,45.0,0 RAMAN-FAIL-FLUO-001,Some_Dye,0.85,Unknown,5.0,1
URS & FS — Raman Identity
This document describes the user requirements and functional specification for RamanIdentityQualityChecker. 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, ExpectedMaterial, HQI, MatchedMaterial, SN_Ratio, FluorescenceFlag. | High | The CSV file is processed without manual header editing. |
| URS-002 | The utility shall perform deterministic evaluation for “Raman Identity” 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 | RAMAN-API-2026-001 | Input parameter for deterministic QC evaluation. |
| 2 | ExpectedMaterial | Ibuprofen | Input parameter for deterministic QC evaluation. |
| 3 | HQI | 0.98 | Input parameter for deterministic QC evaluation. |
| 4 | MatchedMaterial | Ibuprofen | Input parameter for deterministic QC evaluation. |
| 5 | SN_Ratio | 50.0 | Input parameter for deterministic QC evaluation. |
| 6 | FluorescenceFlag | 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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