Biomedical Engineering and Bioengineering Commons^™

Oral Administration Of Ph-Responsive Polymeric Nanoparticles Based On Zein And Their Therapeutic Potential On Cancer., Bruno Alejandro Valades-Aguilar, José Raúl Rangel-López, Jennifer Citlally Leos-Rivera, Moisés Armides Franco-Molina, María Cristina Rodríguez-Padilla, Diana Ginette Zárate-Triviño

Research Symposium

Background: Zein is a water-insoluble protein extracted from the endosperm of corn seeds, this polymer is an attractive matrix to encapsulate hydrophilic compounds because of its high proportion of hydrophobic amino acids, making it a potential smart delivery material for several treatments in the biopharmaceutical industry. nanoparticles have been used as drug delivery systems for the improvement of oral bioavailability; however, the strategies of nanoparticle obtention need the addition of stabilizers. in this study, a modified method to obtain zein nanoparticles was developed.

Methods: Zein nanoparticles (ZNps) were made by a thermal treatment and precipitated into ovalbumin at a ratio …

La1-Xsrxcoo3 Perovskite Nanomaterial: Synthesis, Characterization, And Its Biomedical Application, Adhira Tippur, Anyet Shohag, Luke Franco, Ahmed Touhami, Swati Mohan, Mohammed Uddin

Research Symposium

Early cancer detection is paramount for effective treatment and potential cures. This research explores the application of perovskite materials, specifically Sr2+-doped Lanthanum Cobaltite (La1-xSrxCoO3) nanomaterials, in cancer detection, with a focus on rats as an experimental model. The ferroelectric nature of these materials, synthesized through a combination of sol-gel and molten-salt processes, was examined at varying Sr2+ doping levels (1-20 wt%). Rigorous characterization, employing X-ray diffraction and scanning electron microscopy, confirmed the uniform morphology of nano cubes, laying the foundation for subsequent investigations. The magnetic properties of the perovskite nanoparticles were probed, suggesting their potential as a diagnostic tool for …

Emotion Recognition As A Novel Indicator For Assessing Brain Health: A Machine Learning Approach, Nayarah Shabir, Parveen Lehana

Research Symposium

Background: Emotion is being referred to as a person’s mental state, since it relates to their ideas, feelings, and actions. There is a lot of evidence that health affects the emotion. Therefore, the nature of emotions ought to reveal the health of a person. The emotions are represented by facial expressions controlled by muscular motor actions. Brain health may affect the working of the muscles leading to the emotional changes extracted from the facial images.

Methods: A dataset of facial images annotated with matching emotion labels is the first step in using convolutional neural networks (CNNs) for facial …