Phenytoin-loaded lipid-core nanocapsules improve the technological properties and in vivo performance of fluidised bed granules

Oliveira, Edilene Gadelha de; Oliveira, Rosemari Teresinha de; Zatta, Kelly Cristine; Furian, Ana Flávia; Oliveira, Mauro Schneider; Pohlmann, Adriana Raffin; Guterres, Sílvia Stanisçuaski; Beck, Ruy Carlos Ruver

doi:10.1016/j.msec.2020.110753

Cited by 8 publications

(10 citation statements)

References 51 publications

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“…In summary, besides their lower drug loading compared to the silica mesoporous particles discussed earlier, IVM-loaded nanocapsules were produced with suitable nanotechnological properties. Their characterization data were consistent and reproducible as nanosystems for delivering IVM, in line with similar formulations reported in previous studies [ 43 , 66 , 67 ].…”

Section: Resultssupporting

confidence: 89%

“…IVM-loaded nanocapsules (IVM-NC) were prepared by the interfacial deposition of a preformed polymer method, following a protocol previously established by our research group [ 43 ]. An organic phase composed of IVM (1 mg/mL), 165 μL of medium-chain triglycerides, 0.1 g of poly(ε-caprolactone) (PCL), and 27 mL of acetone was completely homogenized under heating (40 °C) and magnetic stirring for 4 h. After that, injection of the organic phase was performed in the aqueous phase (54 mL) containing 0.077 g of polysorbate 80, whose resulting milky-like dispersion was kept under moderate agitation for 10 min.…”

Section: Methodsmentioning

confidence: 99%

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Ivermectin-Loaded Mesoporous Silica and Polymeric Nanocapsules: Impact on Drug Loading, In Vitro Solubility Enhancement, and Release Performance

Velho,

Funk,

Deon

et al. 2024

Pharmaceutics

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Ivermectin (IVM), a widely used drug for parasitic infections, faces formulation and application challenges due to its poor water solubility and limited bioavailability. Pondering the impact of IVM’s high partition coefficient value (log P) on its drug release performance, it is relevant to explore whether IVM nanoencapsulation in organic or inorganic nanoparticles would afford comparable enhanced aqueous solubility. To date, the use of inorganic nanoparticles remains an unexplored approach for delivering IVM. Therefore, here we loaded IVM in mesoporous silica particles (IVM-MCM), as inorganic nanomaterial, and in well-known poly(ε-caprolactone) nanocapsules (IVM-NC). IVM-MCM had a well-organized hexagonal mesoporous structure, reduced surface area, and high drug loading of 10% w/w. IVM-NC had a nanometric mean size (196 nm), high encapsulation efficiency (100%), physicochemical stability as an aqueous dispersion, and drug loading of 0.1% w/w. Despite differing characteristics, both nanoencapsulated forms enhance IVM’s aqueous intrinsic solubility compared to a crystalline IVM: after 72 h, IVM-MCM and IVM-NC achieve 72% and 78% releases through a dialysis bag, whereas crystalline IVM dispersion achieves only 40% drug diffusion. These results show distinct controlled release profiles, where IVM-NC provides a deeper sustained controlled release over the whole experiment compared to the inorganic nanomaterial (IVM-MCM). Discussing differences, including drug loading and release kinetics, is crucial for optimizing IVM’s therapeutic performance. The study design, combined with administration route plans and safety considerations for humans and animals, may expedite the rational optimization of IVM nanoformulations for swift clinical translation.

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Section: Resultssupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Ivermectin-Loaded Mesoporous Silica and Polymeric Nanocapsules: Impact on Drug Loading, In Vitro Solubility Enhancement, and Release Performance

Velho,

Funk,

Deon

et al. 2024

Pharmaceutics

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“…Several previously mentioned studies have low entrapment efficiency, high zeta potential, and high polydispersity index (PDI), paradoxically with decreased nanoparticle size [13,15,20]. This result is influenced by various physicochemical properties such as surfactant, co-surfactant, polymer type and concentration, aqueous and oil phase, and other materials involved [55].…”

Section: In Vitro Release Studies Of Nanoparticle-based Drug Delivery...mentioning

confidence: 99%

“…Carbamazepine was engaged in multiple studies, including those conducted by Qushawy et al [13], Kandilli et al [14], and Zybina et al [15]. Lamotrigine was administered in the research conducted by Hou et al [16] and Shah et al [17], while phenytoin was the selected antiepileptic medication in the studies conducted by Fang et al [18], Wang et al [19], de Oliveira et al [20], and Rosillo-de la Torre et al [21]. Gabapentin was the antiepileptic agent of choice in the investigation conducted by Wilson et al [22], and lacosamide was employed in a study conducted by Temizyürek et al [23].…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…This result is similar to the study by Akel et al, [46], which compared PLGA nanoparticles and Solid Lipid nanoparticles (SLN) of Meloxicam; SLN has a lower Z-average because of particle deposition in the SLN surface. Moreover, the study that used the same interfacial polymerization method of Phenytoin with different polymer formulations showed that Phenytoin with Chitosan polymer has a smaller particle size than Dextran-70 Alpha n-butyl cyanoacrylate (BCA) Monomer [18,20]. However, another study showed that Chitosan polymer nanoparticle size is higher than lipid and other polymer nanoparticles [47].…”

Section: In Vitro Release Studies Of Nanoparticle-based Drug Delivery...mentioning

confidence: 99%

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Unveiling the effects of nanoparticles-based antiepileptic drugs: Systematic review of in vivo studies

Husnul Khotimah,

Fathina Zahrani Rahmaniar,

Fatimah Az Zahra

et al. 2024

GSC Biol. Pharm. Sci.

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Background: Resistance and side effects of antiepileptic drugs (AEDs) pose a challenge in epilepsy therapy due to the limited drug bioavailability in penetrating the Blood-Brain Barrier (BBB). Nanoparticles can be one solution by encapsulating AEDs to enhance drug distribution to target cells. This study systematically assesses 1) the characteristics of nanoparticles, and 2) the potential of nanoparticle AEDs in managing seizures in experimental animal models. Methods: This systematic literature review is limited to studies published between 2013 and July 2023 in the PubMed, ScienceDirect, ProQuest, MEDLINE, and Scopus databases. Inclusion criteria encompass studies involving animal models of epilepsy, that exploring nanoparticle-based of AEDs. These studies compare the characteristics of nanoparticles and their antiepileptic efficacy with non-nanoparticle groups. Review articles, publications in non-English languages, and ongoing studies without published results are excluded. Result and Discussion: Fourteen studies met the inclusion criteria for this research. All studies utilized nanoparticles (n = 14). Lipid nanoparticles have a more compact size than any other nanoparticle, while the combination preparation method has an optimal nanoparticle formation in both lipid and polymeric nanoparticles. In animal model results indicated that nanoparticle-based drugs were beneficial in reducing seizure scores, improving seizure onset latency, and providing neuroprotective effects. Conclusion: The characteristics of nanoparticle drug delivery varied, influenced by formulation factors and preparation methods. Nanoparticle-based AEDs exhibit higher efficacy compared to conventional AEDs. All studies included present an opportunity for the development of epilepsy therapies, although future studies are needed to confirm these findings.

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Monte Carlo Assisted FTIR Spectroscopy: A Python Tool for the Determination of the Constituents in Blended Biopolymer Samples

Souza

Cunha

Pereira

et al. 2021

Macromolecular Symposia

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A massive number of biopolymers and complex polymer blends are being developed every day. One of the significant challenges related to these materials is their characterization. In more specific terms, estimating the composition of polymeric mixtures is a substantial challenge for the technologist, who must understand the nuances of the material's composition for its proper application. Thus, this work develops a Python code capable of handling the composition analysis using the FTIR spectra of some biopolymers found in the literature. Through the Monte Carlo method associated with the Mixture Rule, these spectra are combined, generating a myriad of signals referring to different compositions. These signals are compared with the one from the FTIR spectrum of the mixture, allowing the root-mean-square error (RMSE) calculation. Finally, minimizing the RMSE value leads to the final composition of the material, which is presented and saved in a text file.

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Phenytoin-loaded lipid-core nanocapsules improve the technological properties and in vivo performance of fluidised bed granules

Cited by 8 publications

References 51 publications

Ivermectin-Loaded Mesoporous Silica and Polymeric Nanocapsules: Impact on Drug Loading, In Vitro Solubility Enhancement, and Release Performance

Ivermectin-Loaded Mesoporous Silica and Polymeric Nanocapsules: Impact on Drug Loading, In Vitro Solubility Enhancement, and Release Performance

Unveiling the effects of nanoparticles-based antiepileptic drugs: Systematic review of in vivo studies

Monte Carlo Assisted FTIR Spectroscopy: A Python Tool for the Determination of the Constituents in Blended Biopolymer Samples

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