Analytical method development for characterizing ingredient-specific particle size distributions of nasal spray suspension products.

Bioequivalence Morphology Nasal spray Particle size Raman Suspension

Journal

Journal of pharmaceutical sciences
ISSN: 1520-6017
Titre abrégé: J Pharm Sci
Pays: United States
ID NLM: 2985195R

Informations de publication

Date de publication:
07 2021
Historique:
received: 19 01 2021
revised: 03 03 2021
accepted: 03 03 2021
pubmed: 14 3 2021
medline: 5 8 2021
entrez: 13 3 2021
Statut: ppublish

Résumé

Particle size characterization for active pharmaceutical ingredients (APIs) in nasal spray suspension products presents unique challenges because both the API and excipient particles are present in the final dosage form. Currently, an established method is lacking because traditional particle sizing technologies do not distinguish the chemical identity of the particles. In this study, a non-destructive, ingredient-specific particle sizing method was developed for characterization of mometasone furoate (MF) nasal spray suspensions using Morphology Directed Raman Spectroscopy (MDRS). A five-step method development procedure was used in this study: sample preparation, particle imaging and morphology analysis, particle Raman measurements and classification, morphology filter selection, and minimum number of particles determination. Wet dispersion sample preparation method was selected to ensure that the particles were measured in their original suspended state. A training set containing over 10,000 randomly-selected particles, including both the API and excipient particles, was used to gain a comprehensive understanding of particle size, shape, and chemical ID for the nasal spray suspension. Morphology and Raman measurements were performed on each particle in the training set. The measurement results suggested that the aspect ratio and intensity mean filter combination was an appropriate morphology filter setting to selectively target API particles and exclude most of excipient particles. With further optimization of the morphology filter cutoff values and determination of minimal number of particles to be measured, the total measurement time was reduced from 90 hours to 8 hours. The morphologically screening strategy ultimately allowed us to create a time-efficient practical API-specific particle size distribution (PSD) methods for nasal spray suspensions. This study shows that MDRS is a fit for purpose analytical technique for determining ingredient-specific PSDs of the pharmaceutical formulation studied in this work.

Identifiants

pubmed: 33713688
pii: S0022-3549(21)00152-0
doi: 10.1016/j.xphs.2021.03.005
pii:
doi:

Substances chimiques

Aerosols 0
Excipients 0
Nasal Sprays 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2778-2788

Informations de copyright

Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Brandon J Thomas (BJ)

Office of Testing and Research, Office of Pharmaceutical Quality, Food and Drug Administration, St. Louis, MO, United States.

Mohammad Absar (M)

Office of Research and Standards, Office of Generic Drugs, Food and Drug Administration, Silver Spring, MD, United States.

Renishkumar Delvadia (R)

Office of Research and Standards, Office of Generic Drugs, Food and Drug Administration, Silver Spring, MD, United States.

Denise S Conti (DS)

Office of Research and Standards, Office of Generic Drugs, Food and Drug Administration, Silver Spring, MD, United States.

Kimberly Witzmann (K)

Office of Research and Standards, Office of Generic Drugs, Food and Drug Administration, Silver Spring, MD, United States.

Changning Guo (C)

Office of Testing and Research, Office of Pharmaceutical Quality, Food and Drug Administration, St. Louis, MO, United States. Electronic address: changning.guo@fda.hhs.gov.

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Classifications MeSH