Formulation and In Vitro Evaluation of Matrix Tablets Containing Ketoprofen–Beta Cyclodextrin Complex for Enhanced Rheumatoid Arthritis Therapy: Experimental and Computational Insights
Abstract
:1. Introduction
2. Materials and Methods
2.1. Chemicals and Reagents
2.2. Equipment
2.3. Preparation of Complexes with Ketoprofen and Beta Cyclodextrin
2.4. Characterization of Complexes with Ketoprofen and Beta Cyclodextrin
2.5. Development of Polymeric Matrix Tablets with Ketoprofen and Ketoprofen–Beta Cyclodextrin
2.6. Dissolution Studies
3. Results and Discussion
3.1. Analyses of the Solid K-β-CD Inclusion Complexes
3.1.1. SEM Analysis
3.1.2. FTIR Analysis
3.1.3. DSC Analysis
3.1.4. In Vitro Drug Dissolution Studies Using Complexes
3.2. In Vitro Dissolution Studies Using Tablets
4. Theoretical Model
- (i)
- Nonlinear dynamics and self-similarity over several scales [31,32]: The drug release mechanism in a polymer–drug system is influenced by several elements, including the interaction between the polymer and drug molecules, the architecture of the polymer–drug network, and alterations at both microscopic and macroscopic sizes. This behavior is nonlinear but demonstrates self-similarity across many observational scales; for instance, analogous patterns may emerge when investigations are conducted at differing degrees of granularity. A multifractal, in mathematics, is an entity that demonstrates self-similarity across many scales and possesses nonlinear characteristics, meaning distinct locations may display varying fractal dimensions. Consequently, the behavior of the polymer–drug system may be regarded as self-similar and nonlinear, exhibiting characteristics of multifractality.
- (ii)
- Irregular drug distribution in polymers [32,33]: The polymer network structure is heterogeneous and can vary considerably, resulting in an irregular and non-uniform drug distribution. In a multifractal, the spatial distribution of points or components may be uneven and may display self-similarity across many levels of detail. The intricate architecture of polymers and the mechanisms of drug incorporation and release can be elucidated by mathematical principles related to multifractals.
- (iii)
- Fluctuating fractal dimensions [34]: A significant aspect of multifractals is the fluctuation in fractal dimensions over various sizes. In the polymer–drug system, the physicochemical characteristics, including the drug’s diffusion rate, can fluctuate considerably based on the local circumstances of the polymer network. This behavioral diversity can be likened to the fractal dimensions of a multifractal, which exhibit varying dimensions based on the observational details of the system’s structures.
- (iv)
- Intricate diffusion models [35]: Drug diffusion inside the polymer network may exhibit intricate patterns, where the movement of drug molecules is not only linear but is influenced by the network’s irregular structure. This phenomenon may be characterized using fractal mathematical models, which are employed to elucidate diffusion in irregular and complicated contexts. Fractality can characterize the variability in diffusion rates across several tiers of the polymer structure.
- (v)
- Reliance on local circumstances and scalability impacts [36]: In a polymer–drug system, localized interactions between drug molecules and the polymer network can significantly impact the overall release process, with these effects being applicable across many structural layers. Scalability and reliance on local circumstances are defining features of multifractals, which exhibit self-similarity and sensitivity to small-scale factors. Thus, a correlation can be discerned between these characteristics of the system and multifractals.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
K | ketoprofen |
K-β-CD | ketoprofen complexed with beta cyclodextrin |
β-CD | beta cyclodextrin |
NSAIDs | Nonsteroidal anti-inflammatory drugs |
SEM | Scanning electron microscopy |
FTIR | Fourier transform infrared spectroscopy |
DSC | Differential Scanning Calorimetry |
EDAX | Energy-Dispersive X-Ray Analysis |
K-1 F-1 | ketoprofen (tablet formula 1) |
K-1 F-4 | ketoprofen (tablet formula 4) |
K-2 F-2 | ketoprofen–beta cyclodextrin (2:1) (tablet formula 2) |
K-2 F-5 | ketoprofen–beta cyclodextrin (2:1) (tablet formula 5) |
K-3 F-3 | ketoprofen–beta cyclodextrin (1:1) (tablet formula 3) |
K-3 F-6 | ketoprofen–beta cyclodextrin (1:1) (tablet formula 6) |
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Stamate Cretan, M.; Ochiuz, L.; Ghizdovat, V.; Molcalut, M.; Agop, M.; Gafițanu, C.A.; Barsan, A.; Sha’at, M.; Stamate, C. Formulation and In Vitro Evaluation of Matrix Tablets Containing Ketoprofen–Beta Cyclodextrin Complex for Enhanced Rheumatoid Arthritis Therapy: Experimental and Computational Insights. Pharmaceutics 2025, 17, 474. https://doi.org/10.3390/pharmaceutics17040474
Stamate Cretan M, Ochiuz L, Ghizdovat V, Molcalut M, Agop M, Gafițanu CA, Barsan A, Sha’at M, Stamate C. Formulation and In Vitro Evaluation of Matrix Tablets Containing Ketoprofen–Beta Cyclodextrin Complex for Enhanced Rheumatoid Arthritis Therapy: Experimental and Computational Insights. Pharmaceutics. 2025; 17(4):474. https://doi.org/10.3390/pharmaceutics17040474
Chicago/Turabian StyleStamate Cretan, Monica, Lacramioara Ochiuz, Vlad Ghizdovat, Monica Molcalut, Maricel Agop, Carmen Anatolia Gafițanu, Alexandra Barsan (Bujor), Mousa Sha’at, and Ciprian Stamate. 2025. "Formulation and In Vitro Evaluation of Matrix Tablets Containing Ketoprofen–Beta Cyclodextrin Complex for Enhanced Rheumatoid Arthritis Therapy: Experimental and Computational Insights" Pharmaceutics 17, no. 4: 474. https://doi.org/10.3390/pharmaceutics17040474
APA StyleStamate Cretan, M., Ochiuz, L., Ghizdovat, V., Molcalut, M., Agop, M., Gafițanu, C. A., Barsan, A., Sha’at, M., & Stamate, C. (2025). Formulation and In Vitro Evaluation of Matrix Tablets Containing Ketoprofen–Beta Cyclodextrin Complex for Enhanced Rheumatoid Arthritis Therapy: Experimental and Computational Insights. Pharmaceutics, 17(4), 474. https://doi.org/10.3390/pharmaceutics17040474