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Nanoparticles

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Size Control in the Nanoprecipitation Process of Stable Iodine (¹²⁷I) Using Microchannel Reactor-Optimization by Artificial Neural Networks.

AAPS PharmSciTech
In this study, nanosuspension of stable iodine ((127)I) was prepared by nanoprecipitation process in microfluidic devices. Then, size of particles was optimized using artificial neural networks (ANNs) modeling. The size of prepared particles was eval...

A hybrid artificial neural network and particle swarm optimization for prediction of removal of hazardous dye brilliant green from aqueous solution using zinc sulfide nanoparticle loaded on activated carbon.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
In the present study, zinc sulfide nanoparticle loaded on activated carbon (ZnS-NP-AC) simply was synthesized in the presence of ultrasound and characterized using different techniques such as SEM and BET analysis. Then, this material was used for br...

Exploiting Metabolic Defects in Glioma with Nanoparticle-Encapsulated NAMPT Inhibitors.

Molecular cancer therapeutics
The treatment of primary central nervous system tumors is challenging due to the blood-brain barrier and complex mutational profiles, which is associated with low survival rates. However, recent studies have identified common mutations in gliomas [is...

Understanding the Manufacturing Process of Lipid Nanoparticles for mRNA Delivery Using Machine Learning.

Chemical & pharmaceutical bulletin
Lipid nanoparticles (LNPs), used for mRNA vaccines against severe acute respiratory syndrome coronavirus 2, protect mRNA and deliver it into cells, making them an essential delivery technology for RNA medicine. The LNPs manufacturing process consists...

Application of acoustic spectroscopy and neural networks to on-line size measurement of pharmaceutical nanocrystals.

The Journal of the Acoustical Society of America
Acoustic spectroscopy and neural networks (NNs) are applied to on-line real-time measurement of particle size distribution (PSD) during wet milling of pharmaceutical nanocrystals. A method for modeling the relationship between acoustic attenuation sp...

Machine learning algorithms to control concentrations of carbon nanocomplexes in a biological medium via optical absorption spectroscopy: how to choose and what to expect?

Applied optics
A solution of spectroscopic inverse problems, implying determination of target parameters of the research object via analysis of spectra of various origins, is an overly complex task, especially in case of strong variability of the research object. O...

Choline Proline Ionic Liquid-Functionalized FeO@SiO Nanoparticle Magnetic Solid Phase Extraction Coupled with High-Performance Liquid Chromatography for Analysis of Allura Red in Lipstick Sample.

Journal of cosmetic science
A separation/analysis of allura red based on magnetic solid-phase extraction-high-performance liquid chromatography was developed. The extractant was prepared by functionalizing choline proline ionic liquid on FeO@SiO(FeO@SiO@[Ch][Pro]). Infl uences ...

Improvement of solubility and dissolution of ebastine by fabricating phosphatidylcholine/ bile salt bilosomes.

Pakistan journal of pharmaceutical sciences
Although ebastine (EBT) can impede histamine-induced skin allergic reaction and persuade long acting selective H1 receptor antagonistic effects but its poor water solubility circumscribed its clinical application. The main objective of this research ...

Artificial neural networks for the inverse design of nanoparticles with preferential nano-bio behaviors.

The Journal of chemical physics
Safe and efficient use of ultrasmall nanoparticles (NPs) in biomedicine requires numerous independent conditions to be met, including colloidal stability, selectivity for proteins and membranes, binding specificity, and low affinity for plasma protei...

Sustainable manufacturing of sensors onto soft systems using self-coagulating conductive Pickering emulsions.

Science robotics
Compliant sensors based on composite materials are necessary components for geometrically complex systems such as wearable devices or soft robots. Composite materials consisting of polymer matrices and conductive fillers have facilitated the manufact...