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362 results on '"Gratieri, Tais"'

18. Thymol-Loaded Polymeric Nanocapsules' Repellent Activity on Nymphs of Rhipicephalus sanguineus Sensu Lato.

Author

Sales, Amanda M. R., Pereira, Gessyka R. S., Lima, Lais C. N., Monteiro, Caio M. O., Matos, Breno N., Taveira, Stephânia F., Cunha-Filho, Marcilio, Gelfuso, Guilherme M., and Gratieri, Tais

Subjects
BROWN dog tick, CONTROLLED release preparations, NANOCAPSULES, REPELLENTS, NANOPARTICLES, THYMOL
Abstract

Thymol-loaded polymeric nanocapsules were developed in this study to control volatilization and drug release for repellent application on Rhipicephalus sanguineus nymphs. Policaprolactone-loaded nanocapsules were prepared and characterized by diameter, PdI, zeta potential, pH, entrapment efficiency, and thymol content. Moreover, drug release, skin permeation profile, and repellent activity were evaluated. Nanocapsules showed a mean diameter of 195.7 ± 0.5 nm, a PdI of 0.20 ± 0.01, a zeta potential of −20.6 ± 0.3 mV, a pH of 4.7 ± 0.1, and an entrapment efficiency and a thymol content of 80.1 ± 0.1% and 97.9 ± 0.2%, respectively. The nanosystem progressively released 68.6 ± 2.3% of the thymol over 24 h, demonstrating that it can control drug release. Thymol-loaded nanocapsules showed less epidermis penetration upon skin application than pure thymol (control). Moreover, nanocapsules showed 60–70% repellency for 2 h against Rhipicephalus sanguineus nymphs. Thus, the nanocapsules proved to be a promising alternative for use as an arthropod repellent. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Applying Different Conditions in the OphthalMimic Device Using Polymeric and Hydrogel-Based Hybrid Membranes to Evaluate Gels and Nanostructured Ophthalmic Formulations.

Author

Contarato, Jonad L. A., Barbalho, Geisa N., Cunha-Filho, Marcilio, Gelfuso, Guilherme M., and Gratieri, Tais

Subjects
EYE drops, OPHTHALMIC drugs, ANIMAL experimentation, MICROEMULSIONS, EYELIDS, FLUCONAZOLE
Abstract

The OphthalMimic is a 3D-printed device that simulates human ocular conditions with artificial lacrimal flow, cul-de-sac area, moving eyelid, and a surface to interact with ophthalmic formulations. All tests with such a device have used a continuous artificial tear flow rate of 1 mL/min for 5 min. Here, we implemented protocol variations regarding the application time and simulated tear flow to increase the test's discrimination and achieve reliable performance results. The new protocols incorporated the previously evaluated 0.2% fluconazole formulations containing or not chitosan as a mucoadhesive component (PLX16CS10 and PLX16, respectively) and novel moxifloxacin 5% formulations, either in a conventional formulation and a microemulsion (CONTROL and NEMOX, respectively). The flow rate was reduced by 50%, and a pre-flow application period was also included to allow formulation interaction with the membrane. The OphthalMimic model was used with both polymeric and hydrogel-based hybrid membranes, including a simulated eyelid. Lowering the flow made it feasible to prolong the testing duration, enhancing device discrimination potential. The hydrogel membrane was adequate for testing nanostructure formulations. The OphthalMimic device demonstrated once again to be a versatile method for evaluating the performance of ophthalmic drug formulations with the potential of reducing the use of animals for experimentation. [ABSTRACT FROM AUTHOR]

Published
2024
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24. The role of artificial intelligence and data science in nanoparticles development: a review.

Author

Silveira, Rodrigo Fonseca, Lima, Ana Luiza, Gross, Idejan Padilha, Gelfuso, Guilherme Martins, Gratieri, Tais, and Cunha-Filho, Marcilio

Abstract

Artificial intelligence has revolutionized many sectors with unparalleled predictive capabilities supported by machine learning (ML). So far, this tool has not been able to provide the same level of development in pharmaceutical nanotechnology. This review discusses the current data science methodologies related to polymeric drug-loaded nanoparticle production from an innovative multidisciplinary perspective while considering the strictest data science practices. Several methodological and data interpretation flaws were identified by analyzing the few qualified ML studies. Most issues lie in following appropriate analysis steps, such as cross-validation, balancing data, or testing alternative models. Thus, better-planned studies following the recommended data science analysis steps along with adequate numbers of experiments would change the current landscape, allowing the exploration of the full potential of ML. Executive summary Data science The main methodologies in data science are presented, including the knowledge discovery in databases (KDDs). Extracting new knowledge from datasets requires the realization of critical steps. The model should be validated outside the laboratory to assess its compliance. State-of-the-art polymeric nanoparticles assisted by data science Only a few qualified studies used machine learning to obtain polymeric nanoparticles. Several methodological flaws were identified, considering modern practices in data science. Databases commonly showed an inappropriate number of experiments. All the studies were performed using commercial software without personalized computer programming. Several studies exhibited models with apparent problems of overfitting or selection bias. Opportunities for improvements Data science analysis steps should be scrupulously followed with the assistance of an expert in the field. Performing an appropriate data balancing and the proper number of experiments is crucial. Better-planned studies using machine learning could lead to reliable and helpful real-life models. [ABSTRACT FROM AUTHOR]

Published
2024
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