Nanostructured lipid carriers (NLC) are stable colloidal formulations with notable advantages for drug delivery systems. Thanks to their physicochemical stability, biocompatibility, biodegradability and controlled drug release, they have received increasing attention for the last several years. The aim of the study was to prepare and characterize nanostructured lipid carriers (NLC). Both, the effect of the process parameters and the effect of the preemulsion composition on the NLC properties were investigated. In the work, different type of surfactants (i.e. decyl glucoside, Poloxamer188, Tween 80, sodium cholate) and their combinations were used to stabilize NLC dispersions. Moreover, several kinds of solid lipids (modified beeswax, gliceryl behenate, cetyl palmitate and berry wax) and liquid lipids (caprilic/capric triglyceride and decyl oleate) were applied. An ultrasonication method using a probe type sonicator was used to obtain NLC, and the time and energy of the process were modified throuhout. The physicochemical properties of the formulations, such as particle size, size distribution, polidispersity index were studied using the dynamic light scattering (DLS) method. The electrophoretic mobility of obtained particles was also measured, using the Zetasizer Nano ZS Malvern Instrument based on the Laser Doppler Velocimetry (LDV) technique. Knowing the value of electrophoretic mobility of particles for given conditions, the zeta potential was determined. The obtained results showed that the process parameters and the composition of the preemulsion had significant impact on the nanoparticles structure. The optimal formulations size ranged between 60 and 80 nm, and the value of their zeta potential was up to -30mV. The stability of these systems was further confirmed by macroscopic observation.
Download full-text PDF |
Source |
---|
Alzheimers Dement
December 2024
Indiana University School of Medicine, Indianapolis, IN, USA.
Background: The TREAT-AD centers aim to improve Alzheimer's Disease (AD) research by offering free, high-quality tools and technologies. Lyn is a tyrosine kinase that belongs to the Src family kinases. The expression of Lyn and its activity have been implicated in AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
National University, Muscat, Muscat, Oman.
Background: This study explores Alzheimer's prediction through brain MRI images, utilizing Convolutional Neural Networks (CNNs) and Lime interpretability. Based on an extensive ADNI MRI dataset, we demonstrate promising results in predicting Alzheimer's disease. Local Interpretable Model Agnostic Explanations (LIME) shed light on decision-making processes, enhancing transparency.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Pennsylvania State University, University Park, PA, USA.
Background: Loneliness is linked with risk for cognitive decline and dementia among older adults, but the degree to which it predicts future risk is unclear. To investigate if loneliness acts as a predictor of cognitive decline, this study employed a measurement burst design using data from the Einstein Aging Study, where loneliness and cognition were repeatedly assessed daily, for several days, across several years. In this type of data, a major challenge to detecting subtle cognitive changes is the presence of retest/practice effects.
View Article and Find Full Text PDFEnviron Sci Process Impacts
January 2025
Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
Conventional practices for inorganic nitrogen fertilizer are highly inefficient leading to excess nitrogen in the environment. Excess environmental nitrogen induces ecological (, hypoxia, eutrophication) and public health (, nitrate contaminated drinking water) consequences, motivating adoption of management strategies to improve fertilizer use efficiency. Yet, how to limit the environmental impacts from inorganic nitrogen fertilizer while maintaining crop yields is a persistent challenge.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China.
The accuracy and efficiency of a coarse-grained (CG) force field are pivotal for high-precision molecular simulations of large systems with complex molecules. We present an automated mapping and optimization framework for molecular simulation (AMOFMS), which is designed to streamline and improve the force field optimization process. It features a neural-network-based mapping function, DSGPM-TP (deep supervised graph partitioning model with type prediction).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!