PantoprazoleDomperidoneQualityChecker

Pantoprazole Domperidone

API assay biosimilars dissolution fixed-dose combinations generics impurities market map

Pantoprazole Domperidone Quality Checker — Combo Product (GI Tract)

ℹ️ The utility checks content of both APIs, pantoprazole degradation, moisture, uniformity.
ℹ️ Does not use machine learning — rule-based logic only.
⚠️ CRITICAL! Pantoprazole Sulfones/Sulfides ≤0.2%. Moisture ≤0.5%. Uniformity RSD ≤6.0%!

Usage:
PantoprazoleDomperidoneQualityChecker.exe → demo mode
PantoprazoleDomperidoneQualityChecker.exe input.csv output.json → evaluate data

Input format:
BatchNumber,Pantoprazole_Content_Percent,Domperidone_Content_Percent,Panto_Sulfone_Percent,Panto_Sulfide_Percent,Panto_N_Oxide_Percent,Panto_Total_Impurities_Percent,Domp_Impurity_A_Percent,Domp_Total_Impurities_Percent,Total_All_Impurities_Percent,Loss_On_Drying_Percent,Heavy_Metals_ppm,Dissolution_Panto_30min_Percent,Dissolution_Domp_30min_Percent,Content_Uniformity_RSD,Microbial_Count_TAMC,Microbial_Count_TYMC,EColi_Detected,Salmonella_Detected

Example:
PAN-DOM-2026-001,98.8,99.2,0.05,0.04,0.02,0.2,0.05,0.2,0.4,0.3,6,92.0,94.0,3.5,30,8,0,0

— WHY IS THIS NEEDED?
Pantoprazole + Domperidone combination used for GERD and dyspepsia treatment:
• Pantoprazole is highly unstable in moist environment and acidic pH, rapidly degrading to sulfones and sulfides. Moisture (LOD) and degradation product control is critical.
• Domperidone is stable but requires control of specific synthesis impurities.
• Pantoprazole dose is small (usually 40 mg), so Content Uniformity (CU) is strictly controlled.
• Synchronous release important for therapeutic effect (acid suppression + prokinetic effect).
⚠️ CRITICAL:
• Content of both APIs: 95–105%
• Pantoprazole Sulfones/Sulfides: ≤ 0.2% each (degradation products)
• Moisture (LOD): ≤ 0.5% (critical for pantoprazole stability)
• Uniformity (RSD): ≤ 6.0%
• Dissolution: ≥ 80% in 30 min for both components
• Microbiology: absence of pathogens
⚠️ Note: Utility focuses on pantoprazole stability. Exceeding sulfone/sulfide levels indicates violation of manufacturing or storage conditions (moisture/temperature). High moisture leads to rapid loss of pantoprazole activity. Uniformity control important due to low pantoprazole dose compared to domperidone.

input.csv

BatchNumber,Pantoprazole_Content_Percent,Domperidone_Content_Percent,Panto_Sulfone_Percent,Panto_Sulfide_Percent,Panto_N_Oxide_Percent,Panto_Total_Impurities_Percent,Domp_Impurity_A_Percent,Domp_Total_Impurities_Percent,Total_All_Impurities_Percent,Loss_On_Drying_Percent,Heavy_Metals_ppm,Dissolution_Panto_30min_Percent,Dissolution_Domp_30min_Percent,Content_Uniformity_RSD,Microbial_Count_TAMC,Microbial_Count_TYMC,EColi_Detected,Salmonella_Detected
PAN-DOM-2026-001,98.8,99.2,0.05,0.04,0.02,0.2,0.05,0.2,0.4,0.3,6,92.0,94.0,3.5,30,8,0,0

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.

Utility: PantoprazoleDomperidoneQualityCheckerAPI / object: Pantoprazole DomperidoneCategory: Global API

1. Scope

The Pantoprazole Domperidone Quality Checker utility is used for Pantoprazole Domperidone. 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, biosimilars, dissolution, fixed-dose combinations, generics, impurities, market map, microbiology, uniformity

2. Execution modes

PantoprazoleDomperidoneQualityChecker.exe                            → demo mode
PantoprazoleDomperidoneQualityChecker.exe input.csv output.json      → evaluate data

3. Key controlled areas

assay / content
purity and impurities
dissolution / disintegration
microbiology and pathogens
heavy metals / elemental impurities

4. Domain limits and critical parameters

⚠️ CRITICAL! Pantoprazole Sulfones/Sulfides ≤0.2%. Moisture ≤0.5%. Uniformity RSD ≤6.0%!
⚠️ CRITICAL:
Content of both APIs: 95–105%
Pantoprazole Sulfones/Sulfides: ≤ 0.2% each (degradation products)
Moisture (LOD): ≤ 0.5% (critical for pantoprazole stability)
Uniformity (RSD): ≤ 6.0%
Dissolution: ≥ 80% in 30 min for both components
Microbiology: absence of pathogens
⚠️ Note: Utility focuses on pantoprazole stability. Exceeding sulfone/sulfide levels indicates violation of manufacturing or storage conditions (moisture/temperature). High moisture leads to rapid loss of pantoprazole activity. Uniformity control important due to low pantoprazole dose compared to domperidone.

Limits stated in the description must be verified against the current approved specification, pharmacopoeial monograph and registration dossier before production use.

5. URS — user requirements

ID	Requirement	Criticality	Acceptance criterion
URS-001	The system shall accept an `input.csv` file for Pantoprazole Domperidone 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, purity and impurities, dissolution / disintegration, microbiology and pathogens, heavy metals / elemental impurities.	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-DOM-2026-001`	mandatory field; used for batch/lot traceability
2	`Pantoprazole_Content_Percent`	decimal	%	Pantoprazole Content %	`98.8`	numeric value; compared with assay/purity limit from specification or method
3	`Domperidone_Content_Percent`	decimal	%	Domperidone Content %	`99.2`	numeric value; compared with assay/purity limit from specification or method
4	`Panto_Sulfone_Percent`	decimal	%	Panto Sulfone %	`0.05`	mandatory numeric value; rule comparison is performed by the utility
5	`Panto_Sulfide_Percent`	decimal	%	Panto Sulfide %	`0.04`	mandatory numeric value; rule comparison is performed by the utility
6	`Panto_N_Oxide_Percent`	decimal	%	Panto N Oxide %	`0.02`	mandatory numeric value; rule comparison is performed by the utility
7	`Panto_Total_Impurities_Percent`	decimal	%	Panto Total Impurities %	`0.2`	mandatory numeric value; rule comparison is performed by the utility
8	`Domp_Impurity_A_Percent`	decimal	%	Domp Impurity A %	`0.05`	numeric value; compared with individual or total impurity limit
9	`Domp_Total_Impurities_Percent`	decimal	%	Domp Total Impurities %	`0.2`	mandatory numeric value; rule comparison is performed by the utility
10	`Total_All_Impurities_Percent`	decimal	%	Total All Impurities %	`0.4`	mandatory numeric value; rule comparison is performed by the utility
11	`Loss_On_Drying_Percent`	decimal	%	Loss On Drying %	`0.3`	mandatory numeric value; rule comparison is performed by the utility
12	`Heavy_Metals_ppm`	decimal	ppm	Heavy Metals ppm	`6`	numeric value; checked as elemental/metal impurity
13	`Dissolution_Panto_30min_Percent`	decimal	%	Dissolution Panto 30min %	`92.0`	numeric value; dissolution/disintegration profile checked according to method
14	`Dissolution_Domp_30min_Percent`	decimal	%	Dissolution Domp 30min %	`94.0`	numeric value; dissolution/disintegration profile checked according to method
15	`Content_Uniformity_RSD`	decimal	as specified	Content Uniformity RSD	`3.5`	numeric value; compared with assay/purity limit from specification or method
16	`Microbial_Count_TAMC`	decimal	as specified	Microbial Count TAMC	`30`	numeric value; compared with microbiological limits
17	`Microbial_Count_TYMC`	decimal	as specified	Microbial Count TYMC	`8`	numeric value; compared with microbiological limits
18	`EColi_Detected`	boolean / flag	0/1	EColi Detected	`0`	valid flag required; prohibited organisms and growth are normally expected as 0 / absent
19	`Salmonella_Detected`	boolean / flag	0/1	Salmonella Detected	`0`	valid flag required; prohibited organisms and growth are normally expected as 0 / absent

CSV example

BatchNumber,Pantoprazole_Content_Percent,Domperidone_Content_Percent,Panto_Sulfone_Percent,Panto_Sulfide_Percent,Panto_N_Oxide_Percent,Panto_Total_Impurities_Percent,Domp_Impurity_A_Percent,Domp_Total_Impurities_Percent,Total_All_Impurities_Percent,Loss_On_Drying_Percent,Heavy_Metals_ppm,Dissolution_Panto_30min_Percent,Dissolution_Domp_30min_Percent,Content_Uniformity_RSD,Microbial_Count_TAMC,Microbial_Count_TYMC,EColi_Detected,Salmonella_Detected
PAN-DOM-2026-001,98.8,99.2,0.05,0.04,0.02,0.2,0.05,0.2,0.4,0.3,6,92.0,94.0,3.5,30,8,0,0

7. FS — functional specification

ID	Function	Implementation description
FS-001	CLI entry point	The executable `PantoprazoleDomperidoneQualityChecker.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 Pantoprazole Domperidone, 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": "PantoprazoleDomperidoneQualityChecker",
  "api": "Pantoprazole Domperidone",
  "batchNumber": "PAN-DOM-2026-001",
  "overallStatus": "PASS|WARNING|FAIL",
  "checkedAtUtc": "2026-05-18T00:00:00Z",
  "checks": [
    {
      "parameter": "BatchNumber",
      "value": "PAN-DOM-2026-001",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Pantoprazole_Content_Percent",
      "value": "98.8",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Domperidone_Content_Percent",
      "value": "99.2",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Panto_Sulfone_Percent",
      "value": "0.05",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Panto_Sulfide_Percent",
      "value": "0.04",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Panto_N_Oxide_Percent",
      "value": "0.02",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Panto_Total_Impurities_Percent",
      "value": "0.2",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Domp_Impurity_A_Percent",
      "value": "0.05",
      "unit": "%",
      "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-006	Insufficient dissolution or excessive disintegration time	FAIL/WARNING is produced according to method criticality.

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.

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