Gelatin nanoparticles for NSAID systemic administration: Quality by design and artificial neural networks implementation

Koletti, Antigoni E.; Tsarouchi, Efstathia; Kapourani, Afroditi; Kontogiannopoulos, Konstantinos N.; Assimopoulou, Andreana N.; Barmpalexis, Panagiotis

doi:10.1016/j.ijpharm.2020.119118

Cited by 23 publications

(12 citation statements)

References 47 publications

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“…When looking more closely at the obtained results, it is obvious that all NP formulations followed a biphasic release profile, with an initial fast release (burst effect) seen in the first 4–5 h, followed by a sustained release until the end (i.e., 15 days). The burst release observed initially can be attributed to the drug placed/absorbed on the surface of the NPs, while the following slow-release rate is probably due to the polyester’s glass–rubbery transition leading to variations in two moving release controlling fronts, i.e., swelling and erosion/degradation [ 52 ]. Nevertheless, results regarding the initial fast release presented in Figure 10 b showed that PTX’s burst effect was dependent on the type of polyester used, with PCL-XYL-based NPs showing the highest burst release, ~50% of the API was released in the first 5 h, followed by the PCL-PE and PCL-GLY with ~40% and ~20% of the API being released in the same timeframe.…”

Section: Resultsmentioning

confidence: 99%

Branched Poly(ε-caprolactone)-Based Copolyesters of Different Architectures and Their Use in the Preparation of Anticancer Drug-Loaded Nanoparticles

Christodoulou

Notopoulou

Nakiou

et al. 2022

IJMS

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Limitations associated with the use of linear biodegradable polyesters in the preparation of anticancer nano-based drug delivery systems (nanoDDS) have turned scientific attention to the utilization of branched-chain (co-)polymers. In this context, the present study evaluates the use of novel branched poly(ε-caprolactone) (PCL)-based copolymers of different architectures for the preparation of anticancer nanoparticle (NP)-based formulations, using paclitaxel (PTX) as a model drug. Specifically, three PCL-polyol branched polyesters, namely, a three-arm copolymer based on glycerol (PCL-GLY), a four-arm copolymer based on pentaerythritol (PCL-PE), and a five-arm copolymer based on xylitol (PCL-XYL), were synthesized via ring-opening polymerization and characterized by proton nuclear magnetic resonance (1H-NMR), gel permeation chromatography (GPC), intrinsic viscosity, differential scanning calorimetry (DSC), X-ray diffraction (XRD), and Fourier-transform infrared (FT-IR) spectroscopy and cytotoxicity. Then, PTX-loaded NPs were prepared by an oil-in-water emulsion. The size of the obtained NPs varied from 200 to 300 nm, while the drug was dispersed in crystalline form in all formulations. High encapsulation efficiency and high yields were obtained in all cases, while FTIR analysis showed no molecular drug polymer. Finally, in vitro drug release studies showed that the studied nanocarriers significantly enhanced the dissolution rate and extent of the drug.

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Section: Resultsmentioning

confidence: 99%

Branched Poly(ε-caprolactone)-Based Copolyesters of Different Architectures and Their Use in the Preparation of Anticancer Drug-Loaded Nanoparticles

Christodoulou

Notopoulou

Nakiou

et al. 2022

IJMS

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“…The size of these nanoparticles can be modulated by adjusting the concentration of the gelatin solution, reaction time and temperature. 117 Lee et al studied the drug delivery of GNPs loaded three drugs (tizanidine hydrochloride, gatifloxacin, and fluconazole). 118 Particles were prepared via nanoprecipitation using distilled water and ethanol as solvents.…”

Section: Nanoprecipitationmentioning

confidence: 99%

“…When the collagen gel impregnated with polyester tetrahydrofuran solution contacts PBS, the water molecule will diffuse to the polymer chain in the hydrogel, so that it can form solid particle precipitation in the 3D dense collagen network. The size of these nanoparticles can be modulated by adjusting the concentration of the gelatin solution, reaction time and temperature . Lee et al.…”

Section: Preparation Of Gelatin Micro/nanostructuresmentioning

confidence: 99%

Chemical and Structural Engineering of Gelatin-Based Delivery Systems for Therapeutic Applications: A Review

Jia,

Fan,

Chen

et al. 2024

Biomacromolecules

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As a biodegradable and biocompatible protein derived from collagen, gelatin has been extensively exploited as a fundamental component of biological scaffolds and drug delivery systems for precise medicine. The easily engineered gelatin holds great promise in formulating various delivery systems to protect and enhance the efficacy of drugs for improving the safety and effectiveness of numerous pharmaceuticals. The remarkable biocompatibility and adjustable mechanical properties of gelatin permit the construction of active 3D scaffolds to accelerate the regeneration of injured tissues and organs. In this Review, we delve into diverse strategies for fabricating and functionalizing gelatin-based structures, which are applicable to gene and drug delivery as well as tissue engineering. We emphasized the advantages of various gelatin derivatives, including methacryloyl gelatin, polyethylene glycolmodified gelatin, thiolated gelatin, and alendronate-modified gelatin. These derivatives exhibit excellent physicochemical and biological properties, allowing the fabrication of tailor-made structures for biomedical applications. Additionally, we explored the latest developments in the modulation of their physicochemical properties by combining additive materials and manufacturing platforms, outlining the design of multifunctional gelatin-based micro-, nano-, and macrostructures. While discussing the current limitations, we also addressed the challenges that need to be overcome for clinical translation, including high manufacturing costs, limited application scenarios, and potential immunogenicity. This Review provides insight into how the structural and chemical engineering of gelatin can be leveraged to pave the way for significant advancements in biomedical applications and the improvement of patient outcomes.

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“…Koletti et al [119] compared two preparation methods (nanoprecipitation and two-step desolvation) of diclofenac sodium gelatin nanoparticles using two optimization techniques (multilinear regression and an ANN). It was proved by the experiment that the ANN with the standard BP algorithm showed a significantly improved ability for the prediction of particle size, ζ-potential and encapsulation efficiency (EE) compared to the multilinear regression.…”

Section: Selection and Optimization Of Formulationsmentioning

confidence: 99%

State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation

Wang¹,

Di²,

Wang

et al. 2022

Pharmaceutics

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During the development of a pharmaceutical formulation, a powerful tool is needed to extract the key points from the complicated process parameters and material attributes. Artificial neural networks (ANNs), a promising and more flexible modeling technique, can address real intricate questions in a high parallelism and distributed pattern in the manner of biological neural networks. The data mined and analyzing based on ANNs have the ability to replace hundreds of trial and error experiments. ANNs have been used for data analysis by pharmaceutics researchers since the 1990s and it has now become a research method in pharmaceutical science. This review focuses on the latest application progress of ANNs in the prediction, characterization and optimization of pharmaceutical formulation to provide a reference for the further interdisciplinary study of pharmaceutics and ANNs.

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Gelatin nanoparticles for NSAID systemic administration: Quality by design and artificial neural networks implementation

Cited by 23 publications

References 47 publications

Branched Poly(ε-caprolactone)-Based Copolyesters of Different Architectures and Their Use in the Preparation of Anticancer Drug-Loaded Nanoparticles

Branched Poly(ε-caprolactone)-Based Copolyesters of Different Architectures and Their Use in the Preparation of Anticancer Drug-Loaded Nanoparticles

Chemical and Structural Engineering of Gelatin-Based Delivery Systems for Therapeutic Applications: A Review

State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation

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