The Utilization of Central Composite Design for the Production of Hydrogel Blends for 3D Printing
Central composite design (CCD) is a statistical experimental design technique that utilizes a combination of factorial and axial points to study the effects of multiple variables on a response. This study focused on optimizing hydrogel formulations for 3D printing using CCD. Three biopolymers were selected: sodium alginate (SA), gelatin (GEL), and carboxymethyl cellulose (CMC). The maximum and minimum concentrations of each polymer were established using a Google Scholar search, and CCD was employed to generate various combinations for hydrogel preparation. The hydrogels were characterized in accordance with their swelling degree (SD) in phosphate-buffered saline (PBS) and Dulbecco’s Modified Eagle Medium (DMEM), as well as their printability in 2D and 3D assays. The formulation consisting of 7.5% SA, 7.5% GEL, and 2.5% CMC exhibited the best swelling properties and exceptional printability, surpassing all other tested formulations. This study highlights the effectiveness of design of experiment methodologies in accelerating the development of optimized hydrogel formulations for various applications in 3D printing and suggests avenues for future research to explore their performance in specific biological contexts.
Authors
- Luciano Paulino Silva (ORCID: https://orcid.org/0000-0001-9075-7725)
- Thalita Fonseca Araujo (ORCID: https://orcid.org/0000-0002-4616-396X)
Institutions
- Universidade de Brasília (BR)
- Brazilian Agricultural Research Corporation (BR)
Publication Details
- Journal
- Coatings
- Published
- 2024-10-16
- DOI
- https://doi.org/10.3390/coatings14101324
- Citations
- 1
- Primary Topic
- Additive Manufacturing and 3D Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.20
Funders
- Universidade de Brasília
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Empresa Brasileira de Pesquisa Agropecuária
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Apoio à Pesquisa do Distrito Federal