GlimepirideMetforminQualityChecker

Glimepiride Metformin

API assay biologics biosimilars dissolution fixed-dose combinations generics heavy metals

Glimepiride Metformin Quality Checker — Combo Product (Sulfonylurea + Biguanide)

ℹ️ The utility checks content of both APIs, content uniformity (low dose glimepiride), metformin impurities, dissolution.
ℹ️ Does not use machine learning — rule-based logic only.
⚠️ CRITICAL! Content Uniformity RSD ≤6.0%. Metformin impurities ≤0.1%. Heavy metals ≤10 ppm!

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

Input format:
BatchNumber,Glimepiride_Content_Percent,Metformin_Content_Percent,Glim_Impurity_A_Percent,Glim_Impurity_B_Percent,Glim_Total_Impurities_Percent,Met_Impurity_A_Percent,Met_Total_Impurities_Percent,Total_All_Impurities_Percent,Loss_On_Drying_Percent,Heavy_Metals_ppm,Dissolution_Glim_30min_Percent,Dissolution_Met_30min_Percent,Dissolution_Glim_60min_Percent,Dissolution_Met_60min_Percent,Content_Uniformity_RSD,Individual_Unit_Min_Percent,Individual_Unit_Max_Percent,Microbial_Count_TAMC,Microbial_Count_TYMC,EColi_Detected,Salmonella_Detected

Example:
GLIM-MET-2026-001,98.8,99.1,0.04,0.03,0.15,0.02,0.12,0.3,0.6,4,86.0,91.0,94.0,97.0,3.2,92.0,108.0,25,8,0,0

— WHY IS THIS NEEDED?
Glimepiride + Metformin combination — standard therapy for type 2 diabetes when monotherapy fails:
• Glimepiride has very low dose (1-4 mg) compared to Metformin (500-1000 mg). This creates huge risk of uneven distribution (segregation) during blending.
• Content Uniformity control is critical safety parameter: lack of glimepiride = no effect, excess = severe hypoglycemia.
• Metformin has strict limits on specific impurities (methylamine, cyanoguanidine), some potentially mutagenic.
• Drugs taken chronically, so heavy metal requirements are stricter than usual.
⚠️ CRITICAL:
• Content of both APIs: 95–105%
• Content Uniformity (RSD): ≤ 6.0% (strict limit due to low glimepiride dose)
• Metformin Impurities (Imp A): ≤ 0.1%
• Total Impurities: ≤ 1.0%
• Dissolution: ≥ 75% in 30 min for both components (synchronicity)
• Heavy Metals: ≤ 10 ppm
• Microbiology: absence of pathogens
⚠️ Note: Utility focuses on balance of two different molecules in one tablet. Deviation in glimepiride content uniformity is most common cause of rejection for such combo products. Control of specific metformin impurities important due to genotoxicity risk. Dissolution synchronicity ensures simultaneous action of insulin secretagogue and sensitizer.

input.csv

BatchNumber,Glimepiride_Content_Percent,Metformin_Content_Percent,Glim_Impurity_A_Percent,Glim_Impurity_B_Percent,Glim_Total_Impurities_Percent,Met_Impurity_A_Percent,Met_Total_Impurities_Percent,Total_All_Impurities_Percent,Loss_On_Drying_Percent,Heavy_Metals_ppm,Dissolution_Glim_30min_Percent,Dissolution_Met_30min_Percent,Dissolution_Glim_60min_Percent,Dissolution_Met_60min_Percent,Content_Uniformity_RSD,Individual_Unit_Min_Percent,Individual_Unit_Max_Percent,Microbial_Count_TAMC,Microbial_Count_TYMC,EColi_Detected,Salmonella_Detected
GLIM-MET-2026-001,98.8,99.1,0.04,0.03,0.15,0.02,0.12,0.3,0.6,4,86.0,91.0,94.0,97.0,3.2,92.0,108.0,25,8,0,0

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: GlimepirideMetforminQualityCheckerAPI / object: Glimepiride MetforminCategory: Global API

1. Scope

The Glimepiride Metformin Quality Checker utility is used for Glimepiride Metformin. 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, dissolution, fixed-dose combinations, generics, heavy metals, impurities, market map, microbiology, solid dosage

2. Execution modes

GlimepirideMetforminQualityChecker.exe                            → demo mode
GlimepirideMetforminQualityChecker.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! Content Uniformity RSD ≤6.0%. Metformin impurities ≤0.1%. Heavy metals ≤10 ppm!
⚠️ CRITICAL:
Content of both APIs: 95–105%
Content Uniformity (RSD): ≤ 6.0% (strict limit due to low glimepiride dose)
Metformin Impurities (Imp A): ≤ 0.1%
Total Impurities: ≤ 1.0%
Dissolution: ≥ 75% in 30 min for both components (synchronicity)
Heavy Metals: ≤ 10 ppm
Microbiology: absence of pathogens
⚠️ Note: Utility focuses on balance of two different molecules in one tablet. Deviation in glimepiride content uniformity is most common cause of rejection for such combo products. Control of specific metformin impurities important due to genotoxicity risk. Dissolution synchronicity ensures simultaneous action of insulin secretagogue and sensitizer.

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 Glimepiride Metformin 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	`GLIM-MET-2026-001`	mandatory field; used for batch/lot traceability
2	`Glimepiride_Content_Percent`	decimal	%	Glimepiride Content %	`98.8`	numeric value; compared with assay/purity limit from specification or method
3	`Metformin_Content_Percent`	decimal	%	Metformin Content %	`99.1`	numeric value; compared with assay/purity limit from specification or method
4	`Glim_Impurity_A_Percent`	decimal	%	Glim Impurity A %	`0.04`	numeric value; compared with individual or total impurity limit
5	`Glim_Impurity_B_Percent`	decimal	%	Glim Impurity B %	`0.03`	numeric value; compared with individual or total impurity limit
6	`Glim_Total_Impurities_Percent`	decimal	%	Glim Total Impurities %	`0.15`	mandatory numeric value; rule comparison is performed by the utility
7	`Met_Impurity_A_Percent`	decimal	%	Met Impurity A %	`0.02`	numeric value; compared with individual or total impurity limit
8	`Met_Total_Impurities_Percent`	decimal	%	Met Total Impurities %	`0.12`	mandatory numeric value; rule comparison is performed by the utility
9	`Total_All_Impurities_Percent`	decimal	%	Total All Impurities %	`0.3`	mandatory numeric value; rule comparison is performed by the utility
10	`Loss_On_Drying_Percent`	decimal	%	Loss On Drying %	`0.6`	mandatory numeric value; rule comparison is performed by the utility
11	`Heavy_Metals_ppm`	decimal	ppm	Heavy Metals ppm	`4`	numeric value; checked as elemental/metal impurity
12	`Dissolution_Glim_30min_Percent`	decimal	%	Dissolution Glim 30min %	`86.0`	numeric value; dissolution/disintegration profile checked according to method
13	`Dissolution_Met_30min_Percent`	decimal	%	Dissolution Met 30min %	`91.0`	numeric value; dissolution/disintegration profile checked according to method
14	`Dissolution_Glim_60min_Percent`	decimal	%	Dissolution Glim 60min %	`94.0`	numeric value; dissolution/disintegration profile checked according to method
15	`Dissolution_Met_60min_Percent`	decimal	%	Dissolution Met 60min %	`97.0`	numeric value; dissolution/disintegration profile checked according to method
16	`Content_Uniformity_RSD`	decimal	as specified	Content Uniformity RSD	`3.2`	numeric value; compared with assay/purity limit from specification or method
17	`Individual_Unit_Min_Percent`	decimal	%	Individual Unit Min %	`92.0`	mandatory numeric value; rule comparison is performed by the utility
18	`Individual_Unit_Max_Percent`	decimal	%	Individual Unit Max %	`108.0`	mandatory numeric value; rule comparison is performed by the utility
19	`Microbial_Count_TAMC`	decimal	as specified	Microbial Count TAMC	`25`	numeric value; compared with microbiological limits
20	`Microbial_Count_TYMC`	decimal	as specified	Microbial Count TYMC	`8`	numeric value; compared with microbiological limits
21	`EColi_Detected`	boolean / flag	0/1	EColi Detected	`0`	valid flag required; prohibited organisms and growth are normally expected as 0 / absent
22	`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,Glimepiride_Content_Percent,Metformin_Content_Percent,Glim_Impurity_A_Percent,Glim_Impurity_B_Percent,Glim_Total_Impurities_Percent,Met_Impurity_A_Percent,Met_Total_Impurities_Percent,Total_All_Impurities_Percent,Loss_On_Drying_Percent,Heavy_Metals_ppm,Dissolution_Glim_30min_Percent,Dissolution_Met_30min_Percent,Dissolution_Glim_60min_Percent,Dissolution_Met_60min_Percent,Content_Uniformity_RSD,Individual_Unit_Min_Percent,Individual_Unit_Max_Percent,Microbial_Count_TAMC,Microbial_Count_TYMC,EColi_Detected,Salmonella_Detected
GLIM-MET-2026-001,98.8,99.1,0.04,0.03,0.15,0.02,0.12,0.3,0.6,4,86.0,91.0,94.0,97.0,3.2,92.0,108.0,25,8,0,0

7. FS — functional specification

ID	Function	Implementation description
FS-001	CLI entry point	The executable `GlimepirideMetforminQualityChecker.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 Glimepiride Metformin, 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": "GlimepirideMetforminQualityChecker",
  "api": "Glimepiride Metformin",
  "batchNumber": "GLIM-MET-2026-001",
  "overallStatus": "PASS|WARNING|FAIL",
  "checkedAtUtc": "2026-05-18T00:00:00Z",
  "checks": [
    {
      "parameter": "BatchNumber",
      "value": "GLIM-MET-2026-001",
      "unit": "as specified",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Glimepiride_Content_Percent",
      "value": "98.8",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Metformin_Content_Percent",
      "value": "99.1",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Glim_Impurity_A_Percent",
      "value": "0.04",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Glim_Impurity_B_Percent",
      "value": "0.03",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Glim_Total_Impurities_Percent",
      "value": "0.15",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Met_Impurity_A_Percent",
      "value": "0.02",
      "unit": "%",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Met_Total_Impurities_Percent",
      "value": "0.12",
      "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.

Included in packages

Diabetes QC Suite

QC package for diabetes medicines: insulins, metformin, SGLT2/DPP-4/GLP-1 products, glucagon and supporting dosage-form quality checks.

Open

Endocrinology QC Suite

QC package for endocrinology: thyroid, pituitary/peptide hormones, corticosteroids, sex hormones and selected metabolic medicines.

Open

Global API & Biosimilars QC Suite

Package for high-demand global APIs, generics and biosimilars, including fixed-dose combinations and biological products.

Open