Effect of Polydopamine and Curcumin on Physicochemical and Mechanical Properties of Polymeric Blends.
Muhammad TahirAlina SionkowskaPublished in: Materials (Basel, Switzerland) (2023)
In this study, we prepared composites made from polyvinyl alcohol (PVA), sodium alginate (SA), curcumin (Cur), and polydopamine (PD). The film-forming properties of the composites were researched for potential wound-healing applications. The structures of the polymer blends and composites were studied by FTIR spectroscopy and microscopic observations (AFM and SEM). The mechanical properties were measured using a Zwick Roell testing machine. It was observed that the formation of a polymeric film based on the blend of polyvinyl alcohol and sodium alginate led to the generation of pores. The presence of curcumin in the composite resulted in the alteration of the blend properties. After solvent evaporation, the polymeric blend of PVA, SA, and curcumin formed a stable polymeric film, but the film showed poor mechanical properties. The addition of polydopamine led to an improvement in the mechanical strength of the film and an increase in its surface roughness. A polymeric film of sodium alginate presented the highest surface roughness value among all the studied specimens (66.6 nm), whereas polyvinyl alcohol showed the lowest value (1.60 nm). The roughness of the composites made of PVA/SA/Cur and PVA/SA/Cur/PD showed a value of about 25 nm. Sodium alginate showed the highest values of Young's modulus (4.10 GPa), stress (32.73 N), and tensile strength (98.48 MPa). The addition of PD to PVA/SA/Cur led to an improvement in the mechanical properties. Improved mechanical properties and appropriate surface roughness may suggest that prepared blends can be used for the preparation of wound-healing materials.
Keyphrases
- reduced graphene oxide
- wound healing
- drug delivery
- gold nanoparticles
- room temperature
- cancer therapy
- drug release
- photodynamic therapy
- high resolution
- alcohol consumption
- deep learning
- risk assessment
- ionic liquid
- high speed
- machine learning
- mass spectrometry
- middle aged
- aqueous solution
- human health
- stress induced
- simultaneous determination