Time-resolved investigation of mesoporous silica microsphere formation using in situ heating optical microscopy

Fijneman, Andreas J.; Heinrichs, Jason M.J.J.; Leuken, Stijn H. M. van; Friedrich, Heiner

doi:10.1016/j.jcis.2020.11.087

Cited by 2 publications

(1 citation statement)

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“…The understanding of the dynamic process of drying is usually difficult but important for various nanotechnological applications, including the preparation of nanostructures. The optical microscope with a heating and vacuum stage has been used for the investigation of controlled drying of monodisperse emulsion droplets containing colloidal silica nanoparticles and their subsequent assembly into mesoporous silica microspheres (MSMs) [ 157 ].…”

Section: Analytical Techniquesmentioning

confidence: 99%

Mesoporous Silica Particles as Drug Delivery Systems—The State of the Art in Loading Methods and the Recent Progress in Analytical Techniques for Monitoring These Processes

et al. 2021

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Conventional administration of drugs is limited by poor water solubility, low permeability, and mediocre targeting. Safe and effective delivery of drugs and therapeutic agents remains a challenge, especially for complex therapies, such as cancer treatment, pain management, heart failure medication, among several others. Thus, delivery systems designed to improve the pharmacokinetics of loaded molecules, and allowing controlled release and target specific delivery, have received considerable attention in recent years. The last two decades have seen a growing interest among scientists and the pharmaceutical industry in mesoporous silica nanoparticles (MSNs) as drug delivery systems (DDS). This interest is due to the unique physicochemical properties, including high loading capacity, excellent biocompatibility, and easy functionalization. In this review, we discuss the current state of the art related to the preparation of drug-loaded MSNs and their analysis, focusing on the newest advancements, and highlighting the advantages and disadvantages of different methods. Finally, we provide a concise outlook for the remaining challenges in the field.

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Section: Analytical Techniquesmentioning

confidence: 99%