DeliveredDoseUniformityInhalerQualityChecker
Delivered Dose Uniformity Inhaler
Delivered Dose Uniformity Inhaler Quality Checker — Delivered Dose Uniformity of Inhalers ℹ️ Utility checks critical parameters of Delivered Dose Uniformity (DDU) per USP <601>: • Mean delivered dose: 80–120% of Label Claim (LC) • Relative Standard Deviation (RSD): ≤10.0% • Individual doses: 75–125% of LC ⚠️ CRITICAL: DDU non-compliance leads to under-dosing or over-dosing of the patient! Inhalers (MDI, DPI) require strict control of each actuation. Usage: DeliveredDoseUniformityInhalerQualityChecker.exe → demo mode (console output) DeliveredDoseUniformityInhalerQualityChecker.exe input.csv output.json → evaluate your data Input format: BatchNumber,LabelClaim,Dose1,Dose2,Dose3,Dose4,Dose5,Dose6,Dose7,Dose8,Dose9,Dose10 Example: INHALER-DDU-2026-001,100.0,98.5,101.2,99.0,100.5,97.8,102.1,99.5,100.0,98.9,101.5 — WHY IS THIS NEEDED? For Metered-Dose Inhalers (MDI) and Dry Powder Inhalers (DPI), the amount of drug reaching the lungs is critical. • USP <601> regulates testing methods for aerosols, nasal sprays, and inhalers. • DDU test guarantees that each actuation delivers the correct amount of drug. • Typically, 10 actuations are tested (or 4 for beginning/end of canister life tests). • Analysis is performed using dose collection systems (e.g., Copley Scientific, Logan Instruments) followed by chromatographic analysis (HPLC/UV). ⚠️ CRITICAL: • Mean value must be close to 100% LC (tolerance 80-120%). • RSD ≤ 10% ensures dose reproducibility from actuation to actuation. • No individual dose should fall outside 75-125% of LC. • For some drugs (e.g., beclomethasone), stricter criteria may apply. Key features: • Automatic calculation of DDU statistics per USP <601>. • Check of individual and mean limits. • Report generation for regulatory dossier. Critical parameters: • Mean Dose: 80-120% of LC • RSD: <= 10.0% • Individual Doses: 75-125% of LC 💡 Usage tips: 1. Use calibrated dose collection systems (impactors/filters) for accurate drug capture. 2. Condition the inhaler before testing (primer shots) if required by instructions. 3. Account for airflow rate influence (for DPI) on delivered dose. 4. Store inhalers at controlled temperature and humidity before testing. 5. Confirm results by chromatographic method with appropriate sensitivity. ⚠️ Note: DDU differs from Content Uniformity (CU) for tablets as it measures the actually released dose, not the content in a packaging unit. For inhalers, this is the only way to guarantee effective drug delivery.
input.csv
BatchNumber,LabelClaim,Dose1,Dose2,Dose3,Dose4,Dose5,Dose6,Dose7,Dose8,Dose9,Dose10 INHALER-DDU-2026-001,100.0,98.5,101.2,99.0,100.5,97.8,102.1,99.5,100.0,98.9,101.5 INHALER-DDU-2026-002,200.0,195.0,205.0,198.0,202.0,196.0,204.0,199.0,201.0,197.0,203.0 INHALER-FAIL-2026-003,100.0,85.0,115.0,80.0,120.0,82.0,118.0,83.0,117.0,81.0,119.0
URS & FS — Delivered Dose Uniformity Inhaler
This document describes the user requirements and functional specification for DeliveredDoseUniformityInhalerQualityChecker. The utility is intended for QC laboratory use as a rule-based check of data prepared from an instrument, LIMS, ELN, MES or an approved input.csv.
URS — User Requirements Specification
| ID | Requirement | Criticality | Acceptance criterion |
|---|---|---|---|
| URS-001 | The utility shall accept input.csv with approved columns: BatchNumber, LabelClaim, Dose1, Dose2, Dose3, Dose4, Dose5, Dose6, Dose7, Dose8, Dose9, Dose10. | High | The CSV file is processed without manual header editing. |
| URS-002 | The utility shall perform deterministic evaluation for “Delivered Dose Uniformity Inhaler” without machine learning. | High | The same input data produce the same JSON result. |
| URS-003 | The utility shall validate mandatory fields, numeric formats, flags, ranges and domain plausibility. | High | Schema and conversion errors are explicitly reported. |
| URS-004 | The utility shall generate output.json with PASS / WARNING / FAIL statuses, source values, warnings and failures. | High | The JSON result is suitable for review, deviation investigation and integration. |
| URS-005 | The documentation shall support IQ/OQ/PQ or CSV/CSA verification. | Medium | URS/FS, CSV/JSON contract and test scenarios are supplied with the utility. |
input.csv contract
| # | Field | Sample | Purpose |
|---|---|---|---|
| 1 | BatchNumber | INHALER-DDU-2026-001 | Input parameter for deterministic QC evaluation. |
| 2 | LabelClaim | 100.0 | Input parameter for deterministic QC evaluation. |
| 3 | Dose1 | 98.5 | Input parameter for deterministic QC evaluation. |
| 4 | Dose2 | 101.2 | Input parameter for deterministic QC evaluation. |
| 5 | Dose3 | 99.0 | Input parameter for deterministic QC evaluation. |
| 6 | Dose4 | 100.5 | Input parameter for deterministic QC evaluation. |
| 7 | Dose5 | 97.8 | Input parameter for deterministic QC evaluation. |
| 8 | Dose6 | 102.1 | Input parameter for deterministic QC evaluation. |
| 9 | Dose7 | 99.5 | Input parameter for deterministic QC evaluation. |
| 10 | Dose8 | 100.0 | Input parameter for deterministic QC evaluation. |
| 11 | Dose9 | 98.9 | Input parameter for deterministic QC evaluation. |
| 12 | Dose10 | 101.5 | Input parameter for deterministic QC evaluation. |
FS — Functional Specification
| ID | Function | Implementation |
|---|---|---|
| FS-001 | CSV import | Read input.csv; validate header, column count and encoding. |
| FS-002 | Schema validation | Check required fields and permitted input values. |
| FS-003 | Rule engine | Apply domain rules, limits and system suitability/specification checks described in the source utility description. |
| FS-004 | Status aggregation | Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance. |
| FS-005 | JSON export | Write machine-readable output.json for LIMS/ELN/MES and QA/QC review. |
OQ/PQ scenarios
- OQ-001: a valid sample row shall be processed without schema error.
- OQ-002: a missing mandatory column shall produce a schema error.
- OQ-003: a non-numeric value in a numeric field shall produce a conversion error.
- OQ-004: a critical parameter outside the limit shall produce
FAILor a critical finding. - PQ-001: user real batches shall be checked with retention of
input.csv,output.json, utility version and checksum.
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