AAS_Microelements_Supplements
AAS Microelements Supplements
Lumex QC URS & FS input.csv output.json rule-based LIMS-ready AAS
Open selectionUtility description: AAS Microelements Supplements
AAS Microelements Supplements — Control of Microelements in Vitamin Complexes ℹ️ Utility checks content of key microelements in supplements and drugs: • Zinc (Zn): 90–110% of Label Claim • Copper (Cu): 90–110% of Label Claim • Iron (Fe): 90–110% of Label Claim • Manganese (Mn): 90–110% of Label Claim • Selenium (Se): 90–110% of Label Claim ⚠️ CRITICAL: Deviation >10% → misbranding! Deficiency or excess of microelements is hazardous to consumer health. Usage: AAS_Microelements_Supplements.exe → demo mode (console output) AAS_Microelements_Supplements.exe input.csv output.json → evaluate your data Input format: BatchNumber,ZincContent,CopperContent,IronContent,ManganeseContent,SeleniumContent Example: SUPP-MULTI-2026-001,10.5,1.0,18.0,2.3,55.0 — WHY IS THIS NEEDED? Vitamin-mineral complexes require precise dosing of all components. • Atomic Absorption Spectrometry (AAS) on Lumex MGA-1000 allows high-precision determination of metals. • Zinc, copper, iron, and manganese are determined in Flame Atomization (FAAS) mode. • Selenium is difficult to determine in flame and often requires Graphite Furnace (GFAAS) or hydride generation. • Content control is vital for confirming product efficacy and safety (especially for iron and selenium, toxic in high doses). ⚠️ CRITICAL: • 90-110% tolerance — standard requirement for pharmaceutical forms and quality supplements. • Iron may interfere with determination of other elements if wavelength selection is incorrect or spectral overlaps exist. • Selenium requires special care during sample preparation due to volatility of some compounds. • Complete sample mineralization (acid digestion) is mandatory before analysis. Key features: • Multi-element analysis (5 key microelements). • Verification against Label Claim. • Support for different atomization modes (flame/furnace). Critical parameters: • Zinc: 90-110% LC • Copper: 90-110% LC • Iron: 90-110% LC • Manganese: 90-110% LC • Selenium: 90-110% LC 💡 Usage tips: 1. Use air-acetylene flame for Zn, Cu, Fe, Mn. 2. Use graphite furnace with matrix modifier (e.g., palladium or nickel) for Se stabilization. 3. Calibrate instrument using standard solutions prepared in the same acid matrix as samples. 4. Use reagent blank for background correction. 5. Dilute samples if iron concentration is high to avoid calibration non-linearity. ⚠️ Note: In complex multivitamin matrices, chemical interferences are possible. Using lanthanum or strontium additives can help determine some elements if phosphates or silicates are present in the sample.
input.csv
BatchNumber,Zn_mg,Cu_mg,Fe_mg,Mn_mg,Se_mcg SUPP-MULTI-2026-001,10.5,1.0,18.0,2.3,55.0 SUPP-MULTI-2026-002,10.0,0.95,17.5,2.2,53.0 SUPP-FAIL-LOW-003,8.0,0.5,15.0,1.8,40.0
Utility description
AAS Microelements Supplements — Control of Microelements in Vitamin Complexes ℹ️ Utility checks content of key microelements in supplements and drugs: • Zinc (Zn): 90–110% of Label Claim • Copper (Cu): 90–110% of Label Claim • Iron (Fe): 90–110% of Label Claim • Manganese (Mn): 90–110% of Label Claim • Selenium (Se): 90–110% of Label Claim ⚠️ CRITICAL: Deviation >10% → misbranding! Deficiency or excess of microelements is hazardous to consumer health. Usage: AAS_Microelements_Supplements.exe → demo mode (console output) AAS_Microelements_Supplements.exe input.csv output.json → evaluate your data Input format: BatchNumber,ZincContent,CopperContent,IronContent,ManganeseContent,SeleniumContent Example: SUPP-MULTI-2026-001,10.5,1.0,18.0,2.3,55.0 — WHY IS THIS NEEDED? Vitamin-mineral complexes require precise dosing of all components. • Atomic Absorption Spectrometry (AAS) on Lumex MGA-1000 allows high-precision determination of metals. • Zinc, copper, iron, and manganese are determined in Flame Atomization (FAAS) mode. • Selenium is difficult to determine in flame and often requires Graphite Furnace (GFAAS) or hydride generation. • Content control is vital for confirming product efficacy and safety (especially for iron and selenium, toxic in high doses). ⚠️ CRITICAL: • 90-110% tolerance — standard requirement for pharmaceutical forms and quality supplements. • Iron may interfere with determination of other elements if wavelength selection is incorrect or spectral overlaps exist. • Selenium requires special care during sample preparation due to volatility of some compounds. • Complete sample mineralization (acid digestion) is mandatory before analysis. Key features: • Multi-element analysis (5 key microelements). • Verification against Label Claim. • Support for different atomization modes (flame/furnace). Critical parameters: • Zinc: 90-110% LC • Copper: 90-110% LC • Iron: 90-110% LC • Manganese: 90-110% LC • Selenium: 90-110% LC 💡 Usage tips: 1. Use air-acetylene flame for Zn, Cu, Fe, Mn. 2. Use graphite furnace with matrix modifier (e.g., palladium or nickel) for Se stabilization. 3. Calibrate instrument using standard solutions prepared in the same acid matrix as samples. 4. Use reagent blank for background correction. 5. Dilute samples if iron concentration is high to avoid calibration non-linearity. ⚠️ Note: In complex multivitamin matrices, chemical interferences are possible. Using lanthanum or strontium additives can help determine some elements if phosphates or silicates are present in the sample.
URS & FS — User Requirements and Functional Specification
This document describes the controlled interface, user requirements and functional behaviour of AAS_Microelements_Supplements. 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.
- • Atomic Absorption Spectrometry (AAS) on Lumex MGA-1000 allows high-precision determination of metals.
- • Zinc, copper, iron, and manganese are determined in Flame Atomization (FAAS) mode.
- • Selenium is difficult to determine in flame and often requires Graphite Furnace (GFAAS) or hydride generation.
- • Content control is vital for confirming product efficacy and safety (especially for iron and selenium, toxic in high doses).
- • 90-110% tolerance — standard requirement for pharmaceutical forms and quality supplements.
- • Iron may interfere with determination of other elements if wavelength selection is incorrect or spectral overlaps exist.
- • Selenium requires special care during sample preparation due to volatility of some compounds.
- • Complete sample mineralization (acid digestion) is mandatory before analysis.
- • Multi-element analysis (5 key microelements).
- • Verification against Label Claim.
- • Support for different atomization modes (flame/furnace).
- • Zinc: 90-110% LC
- • Copper: 90-110% LC
- • Iron: 90-110% LC
- • Manganese: 90-110% LC
- • Selenium: 90-110% LC
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 AAS Microelements Supplements 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 | SUPP-MULTI-2026-001 | Batch or lot identifier used for traceability, review and deviation investigation. |
| 2 | Zn_mg | integer | 10.5 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 3 | Cu_mg | string / decimal | 1.0 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 4 | Fe_mg | string / decimal | 18.0 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 5 | Mn_mg | integer | 2.3 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
| 6 | Se_mcg | string / decimal | 55.0 | Controlled input parameter used by deterministic QC rules and traceable result generation. |
BatchNumber,Zn_mg,Cu_mg,Fe_mg,Mn_mg,Se_mcg SUPP-MULTI-2026-001,10.5,1.0,18.0,2.3,55.0 SUPP-MULTI-2026-002,10.0,0.95,17.5,2.2,53.0 SUPP-FAIL-LOW-003,8.0,0.5,15.0,1.8,40.0
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 AAS Microelements Supplements, 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": "aas-microelements-supplements",
"utilityName": "AAS_Microelements_Supplements",
"overallStatus": "PASS|WARNING|FAIL",
"sourceFile": "input.csv",
"checks": [
{
"parameter": "BatchNumber",
"value": "SUPP-MULTI-2026-001",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Zn_mg",
"value": "10.5",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Cu_mg",
"value": "1.0",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Fe_mg",
"value": "18.0",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Mn_mg",
"value": "2.3",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Se_mcg",
"value": "55.0",
"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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