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Cited by 454

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

3D Printing technologies for drug delivery: a review

Prasad, Leena Kumari, Smyth, Hugh·2016·Drug Development and Industrial Pharmacy

Abstract

With the FDA approval of the first 3D printed tablet, Spritam®, there is now precedence set for the utilization of 3D printing for the preparation of drug delivery systems. The capabilities for dispensing low volumes with accuracy, precise spatial control and layer-by-layer assembly allow for the preparation of complex compositions and geometries. The high degree of flexibility and control with 3D printing enables the preparation of dosage forms with multiple active pharmaceutical ingredients with complex and tailored release profiles. A unique opportunity for this technology for the preparation of personalized doses to address individual patient needs. This review will highlight the 3D printing technologies being utilized for the fabrication of drug delivery systems, as well as the formulation and processing parameters for consideration. This article will also summarize the range of dosage forms that have been prepared using these technologies, specifically over the last 10 years.

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Crossref · 10.3109/03639045.2015.1120743

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Metadata

Authors
Prasad, L. K., & Smyth, H.
Venue
Drug Development and Industrial Pharmacy
Published
2015-12-13
Volume
42
Issue
7
Pages
1019-1031
ISSN
  • 0363-9045 (ISSN-L)
  • 1520-5762
OpenAlex
W2186075428
Cited by
454
References
90
FWCI
23.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: 3D Printing technologies for drug delivery: a review. https://app.cochat.ai/papers/10.3109/03639045.2015.1120743
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Prasad, L. K., & Smyth, H. (2016). 3D Printing technologies for drug delivery: a review. Drug Development and Industrial Pharmacy. https://doi.org/10.3109/03639045.2015.1120743

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.