The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
3D scanning and 3D printing as innovative technologies for fabricating personalized topical drug delivery systems
Open accessAbstract
Acne is a multifactorial inflammatory skin disease with high prevalence. In this work, the potential of 3D printing to produce flexible personalised-shape anti-acne drug (salicylic acid) loaded devices was demonstrated by two different 3D printing (3DP) technologies: Fused Deposition Modelling (FDM) and stereolithography (SLA). 3D scanning technology was used to obtain a 3D model of a nose adapted to the morphology of an individual. In FDM 3DP, commercially produced Flex EcoPLA™ (FPLA) and polycaprolactone (PCL) filaments were loaded with salicylic acid by hot melt extrusion (HME) (theoretical drug loading - 2% w/w) and used as feedstock material for 3D printing. Drug loading in the FPLA-salicylic acid and PCL-salicylic acid 3D printed patches was 0.4% w/w and 1.2% w/w respectively, indicating significant thermal degradation of drug during HME and 3D printing. Diffusion testing in Franz cells using a synthetic membrane revealed that the drug loaded printed samples released <187μg/cm(2) within 3h. FPLA-salicylic acid filament was successfully printed as a nose-shape mask by FDM 3DP, but the PCL-salicylic acid filament was not. In the SLA printing process, the drug was dissolved in different mixtures of poly(ethylene glycol) diacrylate (PEGDA) and poly(ethylene glycol) (PEG) that were solidified by the action of a laser beam. SLA printing led to 3D printed devices (nose-shape) with higher resolution and higher drug loading (1.9% w/w) than FDM, with no drug degradation. The results of drug diffusion tests revealed that drug diffusion was faster than with the FDM devices, 229 and 291μg/cm(2) within 3h for the two formulations evaluated. In this study, SLA printing was the more appropriate 3D printing technology to manufacture anti-acne devices with salicylic acid. The combination of 3D scanning and 3D printing has the potential to offer solutions to produce personalised drug loaded devices, adapted in shape and size to individual patients.
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Cites
A review on stereolithography and its applications in biomedical engineering
Melchels, F. P. W., Feijen, J., & Grijpma, D. W. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2010.04.050 · Cited by 2,457
Biomedical applications of biodegradable polymers
Ulery, B. D., Nair, L. S., & Laurencin, C. T. (2011) · Journal of Polymer Science Part B: Polymer Physics · doi:10.1002/polb.22259 · Cited by 2,206
Evaluation of 3D Printing and Its Potential Impact on Biotechnology and the Chemical Sciences
Gross, B. C., Erkal, J. L., Lockwood, S. Y., Chen, C., & Spence, D. M. (2014) · Analytical Chemistry · doi:10.1021/ac403397r · Cited by 1,746
Medical Applications for 3D Printing: Current and Projected Uses.
Ventola, C. L. (2014) · PubMed Central · Cited by 920
A global perspective on the epidemiology of acne
Tan, J. K. L., & Bhate, K. (2015) · British Journal of Dermatology · doi:10.1111/bjd.13462 · Cited by 784
Stereolithographic (SLA) 3D printing of oral modified-release dosage forms
Wang, J., Goyanes, A., Gaisford, S., & Basit, A. W. (2016) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2016.03.016 · Cited by 612
Self-citation3D printing of modified-release aminosalicylate (4-ASA and 5-ASA) tablets
Goyanes, A., Buanz, A. B. M., Hatton, G. B., Gaisford, S., & Basit, A. W. (2015) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2014.12.003 · Cited by 570
Self-citationGoyanes, A., Wang, J., Buanz, A., Martínez-Pacheco, R., Telford, R., Gaisford, S., & Basit, A. W. (2015) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.5b00510 · Cited by 511
Self-citationChan, V., Zorlutuna, P., Jeong, J. H., Kong, H., & Bashir, R. (2010) · Lab on a Chip · doi:10.1039/c004285d · Cited by 468
Arcaute, K., Mann, B. K., & Wicker, R. B. (2006) · Annals of Biomedical Engineering · doi:10.1007/s10439-006-9156-y · Cited by 364
Cited by
Additive manufacturing (3D printing): A review of materials, methods, applications and challenges
Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T. Q., & Hui, D. (2018) · Composites Part B: Engineering · doi:10.1016/j.compositesb.2018.02.012 · Cited by 8,431
Recent progress in drug delivery
Li, C., Wang, J., Wang, Y., Gao, H., Wei, G., Huang, Y., Yu, H., Gan, Y., Wang, Y., Mei, L., et al. (2019) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2019.08.003 · Cited by 818
Self-citationKafle, A., Luis, E., Silwal, R., Pan, H. M., Shrestha, P. L., & Bastola, A. K. (2021) · Polymers · doi:10.3390/polym13183101 · Cited by 587
Selective laser sintering (SLS) 3D printing of medicines
Fina, F., Goyanes, A., Gaisford, S., & Basit, A. W. (2017) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2017.06.082 · Cited by 577
Self-citationNovel Biomaterials Used in Medical 3D Printing Techniques
Tappa, K., & Jammalamadaka, U. (2018) · Journal of Functional Biomaterials · doi:10.3390/jfb9010017 · Cited by 490
Metadata
- Authors
- Goyanes, A., Det-Amornrat, U., Wang, J., Basit, A. W., & Gaisford, S.
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 234
- Pages
- 41-48
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W2350168938
- Cited by
- 490
- References
- 22
- FWCI
- 31.05
- Type
- journal article
- Language
- en
- Open access
- green
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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.
