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Cited by 332

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Relationship Between Powder Inhaler Resistance and Peak Inspiratory Conditions in Healthy Volunteers — Implications for In Vitro Testing

CLARK, A.R., HOLLINGWORTH, A.M.·1993·Journal of Aerosol Medicine

Abstract

Despite the fact that powder inhaler devices have been available for over 3 decades there is still very little fundamental information as to how powder inhaler design interacts with the airway dynamics of patients. This paper documents the results of human volunteer investigations designed to elucidate this interaction. These data indicates that if 'maximum' inhalation effort is employed the flow rate attained through an inhaler is controlled by the maximum pressure drop developed by the chest muscles. If a moderate or 'comfortable' effort is used, however, the relationship is more complex. An equation for defining the 'respirable fraction' of an inhalation aerosol cloud as a function of inhalation flow rate is also proposed.

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Crossref · 10.1089/jam.1993.6.99

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Metadata

Authors
CLARK, A. R., & HOLLINGWORTH, A. M.
Venue
Journal of Aerosol Medicine
Published
1993-01
Volume
6
Issue
2
Pages
99-110
ISSN
  • 0894-2684 (ISSN-L)
  • 1557-9026
OpenAlex
W2041601011
Cited by
332
References
2
FWCI
4.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Relationship Between Powder Inhaler Resistance and Peak Inspiratory Conditions in Healthy Volunteers — Implications for In Vitro Testing. https://app.cochat.ai/papers/10.1089/jam.1993.6.99
The paper
CLARK, A. R., & HOLLINGWORTH, A. M. (1993). The Relationship Between Powder Inhaler Resistance and Peak Inspiratory Conditions in Healthy Volunteers — Implications for In Vitro Testing. Journal of Aerosol Medicine. https://doi.org/10.1089/jam.1993.6.99

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.