Literature DB >> 17388754

Characterization of deposition from nasal spray devices using a computational fluid dynamics model of the human nasal passages.

Julia S Kimbell1, Rebecca A Segal, Bahman Asgharian, Brian A Wong, Jeffry D Schroeter, Jeremy P Southall, Colin J Dickens, Geoff Brace, Frederick J Miller.   

Abstract

Many studies suggest limited effectiveness of spray devices for nasal drug delivery due primarily to high deposition and clearance at the front of the nose. Here, nasal spray behavior was studied using experimental measurements and a computational fluid dynamics model of the human nasal passages constructed from magnetic resonance imaging scans of a healthy adult male. Eighteen commercially available nasal sprays were analyzed for spray characteristics using laser diffraction, high-speed video, and high-speed spark photography. Steadystate, inspiratory airflow (15 L/min) and particle transport were simulated under measured spray conditions. Simulated deposition efficiency and spray behavior were consistent with previous experimental studies, two of which used nasal replica molds based on this nasal geometry. Deposition fractions (numbers of deposited particles divided by the number released) of 20- and 50-microm particles exceeded 90% in the anterior part of the nose for most simulated conditions. Predicted particle penetration past the nasal valve improved when (1) the smaller of two particle sizes or the lower of two spray velocities was used, (2) the simulated nozzle was positioned 1.0 rather than 0.5 or 1.5 cm into the nostril, and (3) inspiratory airflow was present rather than absent. Simulations also predicted that delaying the appearance of normal inspiratory airflow more than 1 sec after the release of particles produced results equivalent to cases in which no inspiratory airflow was present. These predictions contribute to more effective design of drug delivery devices through a better understanding of the effects of nasal airflow and spray characteristics on particle transport in the nose.

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Year:  2007        PMID: 17388754     DOI: 10.1089/jam.2006.0531

Source DB:  PubMed          Journal:  J Aerosol Med        ISSN: 0894-2684


  28 in total

1.  Computed nasal resistance compared with patient-reported symptoms in surgically treated nasal airway passages: a preliminary report.

Authors:  Julia S Kimbell; Guilherme J M Garcia; Dennis O Frank; Daniel E Cannon; Sachin S Pawar; John S Rhee
Journal:  Am J Rhinol Allergy       Date:  2012 May-Jun       Impact factor: 2.467

2.  A Computational Study of Nasal Spray Deposition Pattern in Four Ethnic Groups.

Authors:  Jarrod A Keeler; Aniruddha Patki; Charles R Woodard; Dennis O Frank-Ito
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2015-08-13       Impact factor: 2.849

3.  High resolution visualization and analysis of nasal spray drug delivery.

Authors:  Kiao Inthavong; Man Chiu Fung; Xuwen Tong; William Yang; Jiyuan Tu
Journal:  Pharm Res       Date:  2014-02-19       Impact factor: 4.200

4.  Effect of formulation- and administration-related variables on deposition pattern of nasal spray pumps evaluated using a nasal cast.

Authors:  Vipra Kundoor; Richard N Dalby
Journal:  Pharm Res       Date:  2011-04-16       Impact factor: 4.200

5.  Current understanding of nasal morphology and physiology as a drug delivery target.

Authors:  Julie D Suman
Journal:  Drug Deliv Transl Res       Date:  2013-02       Impact factor: 4.617

6.  The use of condensational growth methods for efficient drug delivery to the lungs during noninvasive ventilation high flow therapy.

Authors:  Laleh Golshahi; Geng Tian; Mandana Azimi; Yoen-Ju Son; Ross Walenga; P Worth Longest; Michael Hindle
Journal:  Pharm Res       Date:  2013-06-26       Impact factor: 4.200

7.  On computational fluid dynamics models for sinonasal drug transport: Relevance of nozzle subtraction and nasal vestibular dilation.

Authors:  Saikat Basu; Dennis O Frank-Ito; Julia S Kimbell
Journal:  Int J Numer Method Biomed Eng       Date:  2018-01-18       Impact factor: 2.747

8.  Efficient Nose-to-Lung (N2L) Aerosol Delivery with a Dry Powder Inhaler.

Authors:  P Worth Longest; Laleh Golshahi; Srinivas R B Behara; Geng Tian; Dale R Farkas; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2014-09-05       Impact factor: 2.849

9.  Understood? Evaluating the readability and understandability of intranasal corticosteroid delivery instructions.

Authors:  Saangyoung E Lee; William C Brown; Mark W Gelpi; Adam J Kimple; Brent A Senior; Adam M Zanation; Brian D Thorp; Charles S Ebert
Journal:  Int Forum Allergy Rhinol       Date:  2020-04-13       Impact factor: 3.858

10.  Targeted Lung Delivery of Nasally Administered Aerosols.

Authors:  Geng Tian; Michael Hindle; P Worth Longest
Journal:  Aerosol Sci Technol       Date:  2014       Impact factor: 2.908

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