StabilityTrendAndShelfLifeUtility

Stability Trend & Shelf Life

Vet veterinary veterinary vaccines animal health adjuvants aquaculture batch release CSV→JSON

Utility description: Stability Trend & Shelf Life

Stability Trend & Shelf Life Utility — Stability Trend and Shelf Life Analysis

ℹ️ Utility performs evaluation of long-term stability data for medicinal products in accordance with ICH Q1A(R2) and ICH Q1E guidelines:
• Current Compliance: Check of activity at the last study time point against specification.
• Degradation Kinetics: Calculation of activity reduction rate (linear model).
• Shelf Life Prediction: Estimation of time required to reach the lower specification limit.
• Process Status: OK (meets target shelf life), WARNING (risk of shelf life reduction), FAIL (out of specification).

⚠️ IMPORTANT:
• Accurate determination of shelf life for registration dossier requires statistical analysis of pooled data from multiple batches (Poolability Test).
• This utility provides a preliminary assessment based on individual trends.

Usage:
StabilityTrendAndShelfLifeUtility.exe → demo mode (console output)
StabilityTrendAndShelfLifeUtility.exe input.csv output.json → evaluate your data

Input format:
BatchNumber,ProductName,InitialPotency,FinalPotency,TimeMonths,LowerSpecLimit,StorageCondition,DegradationRate_PerMonth,TargetShelfLife

Example:
STAB-001,Tablets,100.0,96.5,12.0,90.0,25.0,0.29,24.0

📍 Scope of Application (Usage Where):
• Stability Programs: Monitoring of current batches in real time.
• Shelf Life Extension: Justification for increasing storage duration based on accumulated data.
• Deviation Investigation (OOS/OOT): Analysis of accelerated degradation causes during storage.
• Registration Support (CTD Module 3.2.P.8): Preparation of data for the "Stability" section.

— WHY IS THIS NEEDED?
Determination of shelf life is a critical requirement for the release of any medicinal product.
Understanding degradation trends allows optimizing storage conditions, formulation, and packaging.
Early detection of unstable batches prevents financial losses and patient risks.

⚠️ CRITICAL:
• Storage Conditions: Data must be stratified by conditions (25°C/60%RH, 30°C/65%RH, 40°C/75%RH).
• Time Points: Minimum number of time points must comply with ICH requirements (e.g., 0, 3, 6, 9, 12, 18, 24 months).
• Statistical Significance: Single outliers can distort linear projection. Visual control of graphs is required.
• Packaging: Shelf life is always tied to a specific primary packaging type.

Key features:
• Automatic calculation of predicted shelf life
• Assessment of compliance with target stability indicators
• Detection of batches with accelerated degradation
• Generation of reports for regulatory and QA departments
• Compliance with ICH Q1E (Evaluation of Stability Data) principles

Critical parameters:
• Current Activity: ≥ Lower Specification Limit
• Predicted Shelf Life: ≥ Declared Shelf Life
• Degradation Rate: Stable and predictable

💡 Usage tips:
1. Data: Use results obtained by validated analytical methods.
2. Interpolation: Avoid extrapolation beyond the time range covered by actual data by more than 50%.
3. Batch Pooling: For final shelf life calculation, use specialized software for regression analysis of pooled data.
4. Documentation: Save reports as part of the batch stability data package.
5. Review: Regularly update calculations as new time point data becomes available.

⚠️ Note: Utility uses a simplified linear model. For products with complex degradation kinetics (e.g., biphasic), application of non-linear models in specialized statistical packages is required.

input.csv

BatchNumber,ProductName,InitialPotency,FinalPotency,TimeMonths,LowerSpecLimit,StorageCondition,DegradationRate_PerMonth,TargetShelfLife
STAB-2026-001,Tablets 50mg,100.0,96.5,12.0,90.0,25.0,0.29,24.0
STAB-2026-002,Solution 10mg/ml,100.0,88.0,18.0,90.0,30.0,0.65,24.0
STAB-2026-003,Lyophilized Powder,100.0,99.0,24.0,95.0,5.0,0.04,36.0

URS & FS — User Requirements and Functional Specification

This document describes the controlled interface and behaviour of StabilityTrendAndShelfLifeUtility for Stability Trend & Shelf Life Utility.

Domain limits URS input.csv FS IQ/OQ/PQ

Domain limits and critical parameters

Key fragments from the source description are shown below. Before production use, limits must be verified against the approved specification, registration dossier and local SOPs.

ℹ️ Utility performs evaluation of long-term stability data for medicinal products in accordance with ICH Q1A(R2) and ICH Q1E guidelines:
• Shelf Life Prediction: Estimation of time required to reach the lower specification limit.
BatchNumber,ProductName,InitialPotency,FinalPotency,TimeMonths,LowerSpecLimit,StorageCondition,DegradationRate_PerMonth,TargetShelfLife
Determination of shelf life is a critical requirement for the release of any medicinal product.
⚠️ CRITICAL:
• Storage Conditions: Data must be stratified by conditions (25°C/60%RH, 30°C/65%RH, 40°C/75%RH).
• Time Points: Minimum number of time points must comply with ICH requirements (e.g., 0, 3, 6, 9, 12, 18, 24 months).
• Compliance with ICH Q1E (Evaluation of Stability Data) principles
Critical parameters:
• Current Activity: ≥ Lower Specification Limit
• Predicted Shelf Life: ≥ Declared Shelf Life

URS — User Requirements Specification

ID	Requirement	Criticality	Acceptance criterion
URS-001	The utility shall accept an input.csv file for Stability Trend & Shelf Life Utility with headers defined in the data contract.	High	The file is processed without manual header editing.
URS-002	The utility shall perform deterministic QC evaluation without machine learning and without probabilistic conformance decisions.	High	Identical input data, rule version and configuration produce reproducible results.
URS-003	The utility shall validate mandatory fields, data types, ranges, units and domain plausibility.	High	Schema, conversion and range errors are explicitly reported.
URS-004	The utility shall apply domain limits and rules from the description, approved specification, registration dossier and local SOPs.	High	Each check has PASS/WARNING/FAIL and a clear message.
URS-005	The utility shall generate output.json with machine-readable results, source values, warnings, failures and critical findings.	High	JSON is suitable for LIMS/ELN/MES integration and QA/QC review.
URS-006	The utility shall preserve traceability between batch/sample, input file, applied rules and final status.	High	Output contains identifiers, checked parameters and audit metadata.
URS-007	The documentation shall support IQ/OQ/PQ, CSV/CSA and review by internal QA or inspectors.	Medium	URS, FS, input/output contract and test scenarios are supplied with the utility.
URS-008	The utility shall be used as a QC decision-support tool and not as a substitute for approved specifications and QA/QP release decision.	Medium	Documentation states change control and limit-verification expectations.

input.csv contract

#	Field	Type	Sample	Purpose
1	`BatchNumber`	string / controlled vocabulary	`STAB-2026-001`	Batch or lot identifier used for traceability.
2	`ProductName`	string / controlled vocabulary	`Tablets 50mg`	Product or dosage-form name under evaluation.
3	`InitialPotency`	decimal	`100.0`	Potency/activity; critical efficacy-related parameter.
4	`FinalPotency`	decimal	`96.5`	Potency/activity; critical efficacy-related parameter.
5	`TimeMonths`	decimal	`12.0`	Time parameter for process, incubation, storage or analytical workflow.
6	`LowerSpecLimit`	decimal	`90.0`	Approved limit applied during result evaluation.
7	`StorageCondition`	string / controlled vocabulary	`25.0`	Controlled input parameter for deterministic QC rules.
8	`DegradationRate_PerMonth`	decimal	`0.29`	Controlled input parameter for deterministic QC rules.
9	`TargetShelfLife`	string / controlled vocabulary	`24.0`	Controlled input parameter for deterministic QC rules.

BatchNumber,ProductName,InitialPotency,FinalPotency,TimeMonths,LowerSpecLimit,StorageCondition,DegradationRate_PerMonth,TargetShelfLife
STAB-2026-001,Tablets 50mg,100.0,96.5,12.0,90.0,25.0,0.29,24.0
STAB-2026-002,Solution 10mg/ml,100.0,88.0,18.0,90.0,30.0,0.65,24.0
STAB-2026-003,Lyophilized Powder,100.0,99.0,24.0,95.0,5.0,0.04,36.0

Input validation rules

ID	Field	Rule	Criticality
VR-001	`BatchNumber`	The field shall match an approved dictionary or accepted string representation.	High
VR-002	`ProductName`	The field shall match an approved dictionary or accepted string representation.	High
VR-003	`InitialPotency`	The field shall match an approved dictionary or accepted string representation.	High
VR-004	`FinalPotency`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-005	`TimeMonths`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-006	`LowerSpecLimit`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-007	`StorageCondition`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-008	`DegradationRate_PerMonth`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-009	`TargetShelfLife`	The field shall match an approved dictionary or accepted string representation.	Medium

FS — Functional Specification

ID	Function	Implementation
FS-001	CLI execution	Support execution modes: demo mode without arguments and production mode input.csv output.json.
FS-002	CSV import	Read input.csv in UTF-8/CSV-compatible format and validate header and expected columns.
FS-003	Schema validation	Check mandatory fields, column count, unknown key fields and empty mandatory values.
FS-004	Type conversion	Convert numeric, flag and text values; invalid format is recorded as a row-level error.
FS-005	Domain rule engine	Apply rules for Stability Trend & Shelf Life Utility, including critical limits from the description and approved specification.
FS-006	Status aggregation	Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-007	JSON export	Write output.json with detailed checks, source values, warnings, failures and critical findings.
FS-008	Audit support	Keep result structure suitable for review, deviation investigation and calculation reproduction.
FS-009	Integration contract	Support the scenario LIMS/ELN/MES → input.csv → utility → output.json → portal/admin review.
FS-010	Error handling	Return explicit messages for missing file, empty CSV, invalid schema, output write failure and invalid format.

Example output.json

{
  "utilityId": "stabilitytrendandshelflifeutility",
  "utilityFolder": "StabilityTrendAndShelfLifeUtility",
  "package": "Vet",
  "overallStatus": "PASS|WARNING|FAIL",
  "sourceFile": "input.csv",
  "processedAtUtc": "2026-06-10T00:00:00Z",
  "checks": [
    {
      "parameter": "BatchNumber",
      "value": "STAB-2026-001",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-001"
    },
    {
      "parameter": "ProductName",
      "value": "Tablets 50mg",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-002"
    },
    {
      "parameter": "InitialPotency",
      "value": "100.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-003"
    },
    {
      "parameter": "FinalPotency",
      "value": "96.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-004"
    },
    {
      "parameter": "TimeMonths",
      "value": "12.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-005"
    },
    {
      "parameter": "LowerSpecLimit",
      "value": "90.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-006"
    },
    {
      "parameter": "StorageCondition",
      "value": "25.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-007"
    },
    {
      "parameter": "DegradationRate_PerMonth",
      "value": "0.29",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-008"
    },
    {
      "parameter": "TargetShelfLife",
      "value": "24.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-009"
    }
  ],
  "criticalFindings": [],
  "warnings": [],
  "audit": {
    "inputHash": "sha256:<calculated at runtime>",
    "rulesVersion": "<utility executable version>",
    "documentation": "StabilityTrendAndShelfLifeUtility.documentation.html"
  }
}

Traceability matrix

URS	FS	Test	Evidence
URS-001	FS-001, FS-002	OQ-001	Verify execution and import of valid input.csv.
URS-002	FS-005, FS-006	OQ-004	Repeat the same dataset and compare output.json.
URS-003	FS-003, FS-004, FS-010	OQ-002, OQ-003	Verify missing columns and invalid types.
URS-004	FS-005, FS-006	OQ-004, PQ-001	Verify critical deviations on real/boundary data.
URS-005	FS-007, FS-009	OQ-005	Verify JSON schema and downstream-system suitability.
URS-006	FS-008	OQ-006	Verify identifiers and audit metadata.
URS-007	FS-008, FS-010	IQ-001, OQ-007	Verify documentation completeness and control evidence.
URS-008	FS-005, FS-008	PQ-002	Verify review workflow and no replacement of QA decision.

IQ/OQ/PQ test scenarios

ID	Scenario	Expected result
IQ-001	Verify executable, input.csv, documentation and checksum availability.	Delivery set is complete; version is recorded.
OQ-001	Valid sample row from input.csv.	PASS or acceptable WARNING according to rules.
OQ-002	Remove a mandatory CSV column.	Schema error or FAIL with missing-column reference.
OQ-003	Place a non-numeric value into a numeric field.	Type-conversion error with row/field reference.
OQ-004	Set a critical parameter outside the limit.	FAIL and critical finding.
OQ-005	Verify output.json structure.	All mandatory sections are present and JSON is valid.
OQ-006	Verify batch/sample traceability.	Input and result identifiers match.
PQ-001	Verify 3–5 real user batches/samples.	Result is confirmed by QC/QA review.
PQ-002	Verify deviation workflow and manual QA decision.	Utility supports review but does not replace approved decision.

QA/QC and change control

Do not rename columns without updating validator, documentation and test set.
Retain input.csv, output.json, executable version and checksum.
Before production use, perform IQ/OQ/PQ or equivalent CSV/CSA verification.
Critical limits shall be verified against the approved specification, registration dossier and local SOPs.
The utility provides structured QC decision support; final release decision remains with QA/QP and approved procedures.

Included in packages

Vet — Veterinary QC Utilities

Vet is designed for veterinary pharmaceuticals and vaccines: adjuvants, antigens, autogenous vaccines, aquaculture, feed/premixes, antimicrobial and antiparasitic products, sterility and batch release.

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