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Cited by 1,691

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Pharmaceutical Particle Engineering via Spray Drying

Open access
Vehring, Reinhard·2008·Pharmaceutical Research

Abstract

This review covers recent developments in the area of particle engineering via spray drying. The last decade has seen a shift from empirical formulation efforts to an engineering approach based on a better understanding of particle formation in the spray drying process. Microparticles with nanoscale substructures can now be designed and their functionality has contributed significantly to stability and efficacy of the particulate dosage form. The review provides concepts and a theoretical framework for particle design calculations. It reviews experimental research into parameters that influence particle formation. A classification based on dimensionless numbers is presented that can be used to estimate how excipient properties in combination with process parameters influence the morphology of the engineered particles. A wide range of pharmaceutical application examples -- low density particles, composite particles, microencapsulation, and glass stabilization -- is discussed, with specific emphasis on the underlying particle formation mechanisms and design concepts.

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Crossref · 10.1007/s11095-007-9475-1

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Metadata

Authors
Vehring, R.
Venue
Pharmaceutical Research
Published
2007-11-28
Volume
25
Issue
5
Pages
999-1022
ISSN
  • 0724-8741 (ISSN-L)
  • 1573-904X
OpenAlex
W2112135623
Cited by
1,691
References
3
FWCI
36.02
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Pharmaceutical Particle Engineering via Spray Drying. https://app.cochat.ai/papers/10.1007/s11095-007-9475-1
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Vehring, R. (2008). Pharmaceutical Particle Engineering via Spray Drying. Pharmaceutical Research. https://doi.org/10.1007/s11095-007-9475-1

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.