PancreatinQualityChecker
Pancreatin
Pancreatin Quality Checker — Enzyme Preparation (Ph. Eur., USP)
ℹ️ The utility checks enzymatic activity (Lipase/Amylase/Protease), microbiology, heavy metals.
ℹ️ Does not use machine learning — rule-based logic only.
⚠️ CRITICAL! Absence of Salmonella and E.Coli. Lipase Activity 90-110%.
Usage:
PancreatinQualityChecker.exe → demo mode
PancreatinQualityChecker.exe input.csv output.json → evaluate data
Input format:
BatchNumber,Lipase_Activity_USP_Units_per_g,Amylase_Activity_USP_Units_per_g,Protease_Activity_USP_Units_per_g,Lipase_to_Protease_Ratio,Loss_On_Drying_Percent,pH_Value,Heavy_Metals_ppm,Lead_ppm,Arsenic_ppm,Total_Aerobic_Microbial_Count,Total_Yeast_Mold_Count,EColi_Detected,Salmonella_Detected,Enterobacteria_Count
Example (Activity as % of Label Claim):
PAN-ENZ-2026-001,100.0,98.0,95.0,20.0,4.5,6.5,8,2,1,5000,500,0,0,1000
— WHY IS THIS NEEDED?
Pancreatin — mixture of pancreatic enzymes from animals (pigs/cattle):
• Key characteristic is enzymatic activity (USP Units or Ph. Eur. Units). Activity must be within narrow range (usually 90-110% of label claim).
• Lipase/Protease ratio important for product standardization.
• As an animal-derived product, microbiological safety is critical: complete absence of Salmonella and E.Coli.
• Heavy metals (Lead, Arsenic) strictly controlled due to risk of accumulation in donor animal tissues.
• Moisture (LOD) affects enzyme stability during storage.
⚠️ CRITICAL:
• Lipase Activity: 90–110% of label claim
• Amylase Activity: 90–110% of label claim
• Protease Activity: 90–110% of label claim
• Salmonella: Absence in 10 g
• E.Coli: Absence in 1 g
• Lead: ≤ 5 ppm
• Arsenic: ≤ 3 ppm
• Moisture: ≤ 5.0%
⚠️ Note: Utility adapted for biological enzyme specifics. Unlike chemicals, Activity Units are key. Microbiological limits are specific to natural products (higher total count allowed than synthetics, but strict ban on pathogens). Moisture control important as water activates enzymes leading to autodigestion and loss of activity.
input.csv
BatchNumber,Lipase_Activity_USP_Units_per_g,Amylase_Activity_USP_Units_per_g,Protease_Activity_USP_Units_per_g,Lipase_to_Protease_Ratio,Loss_On_Drying_Percent,pH_Value,Heavy_Metals_ppm,Lead_ppm,Arsenic_ppm,Total_Aerobic_Microbial_Count,Total_Yeast_Mold_Count,EColi_Detected,Salmonella_Detected,Enterobacteria_Count PAN-ENZ-2026-001,100.0,98.0,95.0,20.0,4.5,6.5,8,2,1,5000,500,0,0,1000
URS & FS — user requirements and functional specification
This document defines user requirements and functional specification for the quality-control utility. It supports deployment discussion, IQ/OQ preparation and QC workflow integration.
1. Scope
The Pancreatin Quality Checker utility is used for Pancreatin. The actual input.csv is the source of truth for the input structure; control criteria are defined by the executable and the domain description.
The utility does not use machine learning; decisions are produced by deterministic rules.
Categories: Global API
Tags: API, assay, biologics, biosimilars, fixed-dose combinations, generics, heavy metals, market map, microbiology, water quality
2. Execution modes
PancreatinQualityChecker.exe → demo mode PancreatinQualityChecker.exe input.csv output.json → evaluate data
3. Key controlled areas
- assay / content
- microbiology and pathogens
- heavy metals / elemental impurities
- pH and physicochemical parameters
- activity, decay and radiochemical purity
4. Domain limits and critical parameters
- ⚠️ CRITICAL! Absence of Salmonella and E.Coli. Lipase Activity 90-110%.
- As an animal-derived product, microbiological safety is critical: complete absence of Salmonella and E.Coli.
- Heavy metals (Lead, Arsenic) strictly controlled due to risk of accumulation in donor animal tissues.
- Moisture (LOD) affects enzyme stability during storage.
- ⚠️ CRITICAL:
- Lipase Activity: 90–110% of label claim
- Amylase Activity: 90–110% of label claim
- Protease Activity: 90–110% of label claim
- Salmonella: Absence in 10 g
- E.Coli: Absence in 1 g
- Lead: ≤ 5 ppm
- Arsenic: ≤ 3 ppm
- Moisture: ≤ 5.0%
- ⚠️ Note: Utility adapted for biological enzyme specifics. Unlike chemicals, Activity Units are key. Microbiological limits are specific to natural products (higher total count allowed than synthetics, but strict ban on pathogens). Moisture control important as water activates enzymes leading to autodigestion and loss of activity.
5. URS — user requirements
| ID | Requirement | Criticality | Acceptance criterion |
|---|---|---|---|
| URS-001 | The system shall accept an input.csv file for Pancreatin with the exact columns listed in the “Input data contract” section. | High | A file with the correct header is processed without manual editing; missing mandatory columns produce FAIL/import error. |
| URS-002 | The system shall support execution without arguments in demo mode and execution with input.csv output.json for user data. | Medium | Both execution scenarios produce a predictable result or clear diagnostic error. |
| URS-003 | The system shall perform rule-based controls for: assay / content, microbiology and pathogens, heavy metals / elemental impurities, pH and physicochemical parameters, activity, decay and radiochemical purity. | High | Each controlled parameter receives a status and message; the result does not depend on hidden Excel formulas or ML. |
| URS-004 | The system shall preserve traceability between batch/lot, source values, applied rules and final verdict. | High | Output includes batch identifier, source values, parameter statuses and critical findings. |
| URS-005 | The system shall generate machine-readable output.json for LIMS/ELN/MES, batch record and QA/QC review. | High | JSON contains overall status, check array, warnings, failures and source-file reference. |
| URS-006 | The system shall support use in the client validation package: URS/FS, IQ/OQ preparation, installation and operational scenario checks. | High | The document, test scenarios and reproducible CSV/JSON flow are suitable for audit and internal approval. |
| URS-007 | The system shall clearly separate technical data errors from specification nonconformities. | Medium | Schema/type errors are not mixed with pharmacopoeial deviations and are reported separately. |
6. input.csv data contract
The source of truth for the input schema is the actual input.csv header. Column names are technical identifiers and are not translated.
| # | Column | Type | Unit | Description | Sample | Control rule |
|---|---|---|---|---|---|---|
| 1 | BatchNumber | identifier | as specified | Batch Number | PAN-ENZ-2026-001 | mandatory field; used for batch/lot traceability |
| 2 | Lipase_Activity_USP_Units_per_g | decimal | as specified | Lipase Activity USP Units per g | 100.0 | mandatory numeric value; rule comparison is performed by the utility |
| 3 | Amylase_Activity_USP_Units_per_g | decimal | as specified | Amylase Activity USP Units per g | 98.0 | mandatory numeric value; rule comparison is performed by the utility |
| 4 | Protease_Activity_USP_Units_per_g | decimal | as specified | Protease Activity USP Units per g | 95.0 | mandatory numeric value; rule comparison is performed by the utility |
| 5 | Lipase_to_Protease_Ratio | decimal | as specified | Lipase to Protease Ratio | 20.0 | mandatory numeric value; rule comparison is performed by the utility |
| 6 | Loss_On_Drying_Percent | decimal | % | Loss On Drying % | 4.5 | mandatory numeric value; rule comparison is performed by the utility |
| 7 | pH_Value | decimal | pH | p H Value | 6.5 | mandatory numeric value; rule comparison is performed by the utility |
| 8 | Heavy_Metals_ppm | decimal | ppm | Heavy Metals ppm | 8 | numeric value; checked as elemental/metal impurity |
| 9 | Lead_ppm | decimal | ppm | Lead ppm | 2 | numeric value; checked as elemental/metal impurity |
| 10 | Arsenic_ppm | decimal | ppm | Arsenic ppm | 1 | numeric value; checked as elemental/metal impurity |
| 11 | Total_Aerobic_Microbial_Count | decimal | as specified | Total Aerobic Microbial Count | 5000 | numeric value; compared with microbiological limits |
| 12 | Total_Yeast_Mold_Count | decimal | as specified | Total Yeast Mold Count | 500 | numeric value; compared with microbiological limits |
| 13 | EColi_Detected | boolean / flag | 0/1 | EColi Detected | 0 | valid flag required; prohibited organisms and growth are normally expected as 0 / absent |
| 14 | Salmonella_Detected | boolean / flag | 0/1 | Salmonella Detected | 0 | valid flag required; prohibited organisms and growth are normally expected as 0 / absent |
| 15 | Enterobacteria_Count | decimal | as specified | Enterobacteria Count | 1000 | numeric value; compared with microbiological limits |
CSV example
BatchNumber,Lipase_Activity_USP_Units_per_g,Amylase_Activity_USP_Units_per_g,Protease_Activity_USP_Units_per_g,Lipase_to_Protease_Ratio,Loss_On_Drying_Percent,pH_Value,Heavy_Metals_ppm,Lead_ppm,Arsenic_ppm,Total_Aerobic_Microbial_Count,Total_Yeast_Mold_Count,EColi_Detected,Salmonella_Detected,Enterobacteria_Count PAN-ENZ-2026-001,100.0,98.0,95.0,20.0,4.5,6.5,8,2,1,5000,500,0,0,1000
7. FS — functional specification
| ID | Function | Implementation description |
|---|---|---|
| FS-001 | CLI entry point | The executable PancreatinQualityChecker.exe supports demo mode and input.csv output.json processing mode. |
| FS-002 | CSV parser | The import module reads CSV, validates header, column presence/order, value count and encoding. Decimal values are expected with a dot separator. |
| FS-003 | Field conversion | Each column is converted to the expected type: identifier, text, decimal number, date/time or boolean flag. |
| FS-004 | Domain rule engine | For Pancreatin, explicit rules are applied: range, minimum, maximum, absence of prohibited flag, data completeness or calculation-based check. |
| FS-005 | Criticality handling | Critical violations produce FAIL; non-critical deviations and incomplete data produce WARNING; full conformance produces PASS. |
| FS-006 | JSON writer | output.json stores overall status, per-parameter results, source values, warnings, failures and diagnostic messages. |
| FS-007 | Integration contract | The CSV → JSON format is stable for invocation from LIMS/ELN/MES, scheduled task or wrapper service. |
| FS-008 | Error handling | Schema error, missing file, non-numeric value or JSON write failure returns diagnosable error without silent PASS. |
8. output.json contract
The output file must be suitable for automated processing, audit review and correlation with the source input.csv row.
{
"utility": "PancreatinQualityChecker",
"api": "Pancreatin",
"batchNumber": "PAN-ENZ-2026-001",
"overallStatus": "PASS|WARNING|FAIL",
"checkedAtUtc": "2026-05-18T00:00:00Z",
"checks": [
{
"parameter": "BatchNumber",
"value": "PAN-ENZ-2026-001",
"unit": "as specified",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Lipase_Activity_USP_Units_per_g",
"value": "100.0",
"unit": "as specified",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Amylase_Activity_USP_Units_per_g",
"value": "98.0",
"unit": "as specified",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Protease_Activity_USP_Units_per_g",
"value": "95.0",
"unit": "as specified",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Lipase_to_Protease_Ratio",
"value": "20.0",
"unit": "as specified",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Loss_On_Drying_Percent",
"value": "4.5",
"unit": "%",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "pH_Value",
"value": "6.5",
"unit": "pH",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Heavy_Metals_ppm",
"value": "8",
"unit": "ppm",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
}
],
"criticalFindings": [],
"sourceFile": "input.csv"
}9. OQ/PQ test scenarios
| ID | Scenario | Expected result |
|---|---|---|
| TC-001 | Valid CSV with expected header and sample row | All rows are processed; output contains PASS/WARNING/FAIL and parameter-level detail. |
| TC-002 | A mandatory input.csv column is missing | Import is rejected or the row receives FAIL with schema reference. |
| TC-003 | A numeric field contains text or a blank value | Type conversion error is recorded; the result is not hidden as PASS. |
| TC-004 | A parameter is outside specification or critical limit | Critical parameters produce FAIL; non-critical deviations produce WARNING according to the rule. |
| TC-005 | Positive pathogen/microbiological flag or microbiological limit excursion | Critical FAIL is produced with the offending parameter. |
| TC-008 | Incorrect activity, reference time or radiochemical purity | FAIL/WARNING is produced with calculation traceability. |
10. QA/QC, CSV and change control
- Before production use, the client records executable version, checksum, specification/monograph version, test CSV, expected JSON and IQ/OQ results.
- Column names must not be changed without updating the validator and test scenarios.
- The source CSV, output.json and utility version should be stored together as an evidence package.
- Any change in control rules must go through change control and repeated OQ scenario verification.
Included in packages
Gastroenterology QC Suite
QC package for gastroenterology: PPIs, antiemetics, prokinetics, IBD medicines, laxatives, enzymes and GI anti-infectives.
OpenGlobal API & Biosimilars QC Suite
Package for high-demand global APIs, generics and biosimilars, including fixed-dose combinations and biological products.
Open