DeliveredDoseUniformityInhalerQualityChecker

Delivered Dose Uniformity Inhaler

LabEx laboratory QC CSV→JSON URS & FS chromatography solid dosage forms spectroscopy utilities / cleanroom
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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

IDRequirementCriticalityAcceptance criterion
URS-001The utility shall accept input.csv with approved columns: BatchNumber, LabelClaim, Dose1, Dose2, Dose3, Dose4, Dose5, Dose6, Dose7, Dose8, Dose9, Dose10.HighThe CSV file is processed without manual header editing.
URS-002The utility shall perform deterministic evaluation for “Delivered Dose Uniformity Inhaler” without machine learning.HighThe same input data produce the same JSON result.
URS-003The utility shall validate mandatory fields, numeric formats, flags, ranges and domain plausibility.HighSchema and conversion errors are explicitly reported.
URS-004The utility shall generate output.json with PASS / WARNING / FAIL statuses, source values, warnings and failures.HighThe JSON result is suitable for review, deviation investigation and integration.
URS-005The documentation shall support IQ/OQ/PQ or CSV/CSA verification.MediumURS/FS, CSV/JSON contract and test scenarios are supplied with the utility.

input.csv contract

#FieldSamplePurpose
1BatchNumberINHALER-DDU-2026-001Input parameter for deterministic QC evaluation.
2LabelClaim100.0Input parameter for deterministic QC evaluation.
3Dose198.5Input parameter for deterministic QC evaluation.
4Dose2101.2Input parameter for deterministic QC evaluation.
5Dose399.0Input parameter for deterministic QC evaluation.
6Dose4100.5Input parameter for deterministic QC evaluation.
7Dose597.8Input parameter for deterministic QC evaluation.
8Dose6102.1Input parameter for deterministic QC evaluation.
9Dose799.5Input parameter for deterministic QC evaluation.
10Dose8100.0Input parameter for deterministic QC evaluation.
11Dose998.9Input parameter for deterministic QC evaluation.
12Dose10101.5Input parameter for deterministic QC evaluation.

FS — Functional Specification

IDFunctionImplementation
FS-001CSV importRead input.csv; validate header, column count and encoding.
FS-002Schema validationCheck required fields and permitted input values.
FS-003Rule engineApply domain rules, limits and system suitability/specification checks described in the source utility description.
FS-004Status aggregationProduce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-005JSON exportWrite 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 FAIL or 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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