Organic polymer particles for biomedical applications

Krug, Pamela; Bartel, Marta; Głowala, Paulina; Wysocka, Barbara; Mojzych, Ilona; Kwiatkowska, Marta; Skiba, Aleksandra; Wójtowicz, Agata; Mazur, Maciej

doi:10.1016/b978-0-12-818433-2.00003-0

Cited by 3 publications

(2 citation statements)

References 422 publications

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“…Such particles may find numerous therapeutic or diagnostic applications in medicine, for example, they can be utilized to transport drugs through the body to a specific site or can carry diagnostic tags to allow imaging of pathological tissues. 1,2 Biodegradable particles can be prepared from a range of materials including synthetic or natural polymers. 3 Synthetic polymers provide several advantages which include control over their composition and properties.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Preparation of biodegradable particles has been a hot topic of research in last several decades. Such particles may find numerous therapeutic or diagnostic applications in medicine, for example, they can be utilized to transport drugs through the body to a specific site or can carry diagnostic tags to allow imaging of pathological tissues. , …”

Section: Introductionmentioning

confidence: 99%

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Preparation of Surface-Supported Polylactide Spherical-Cap Particles

et al. 2022

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Biodegradable polymer particles are of considerable importance due to their multiple applications in medical diagnostics and therapy. Spherical-cap particles have been prepared in a very general and simple method by melting a thin polymer film supported on a solid substrate that is in contact with a hydrophilic solvent. The melted polymer forms droplets which transform into solid particles attached to the surface after cooling down the sample. This approach has been demonstrated for polylactide adlayers on glass, which, when melted in glycerol, produce an array of polymer particles supported on the surface. The size of the particles depends on the experimental conditions and ranges from tens of nanometers to several micrometers. The particles can be employed to incorporate guest species, for example, drug molecules or inorganic nanoparticles. This has been confirmed herein through entrapment of an anticancer drug (doxorubicin) and radiogold (Au-198) nanoparticles. The resulting structures have been examined using a number of complementary physicochemical techniques including scanning and transmission electron microscopy, atomic force and optical microscopy as well as Raman and fluorescence spectroscopy.

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Section: ■ Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Preparation of Surface-Supported Polylactide Spherical-Cap Particles

et al. 2022

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Brain targeting of drugs via intranasal route in conjunction with nanoparticle-based systems: an updated review

Furquan,

Hafeez,

Rahman

2023

J Nanopart Res

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Artificial intelligence application for rapid fabrication of size-tunable PLGA microparticles in microfluidics

Damiati

Rossi

Joensson

et al. 2020

Sci Rep

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In this study, synthetic polymeric particles were effectively fabricated by combining modern technologies of artificial intelligence (AI) and microfluidics. Because size uniformity is a key factor that significantly influences the stability of polymeric particles, therefore, this work aimed to establish a new AI application using machine learning technology for prediction of the size of poly(d,l-lactide-co-glycolide) (PLGA) microparticles produced by diverse microfluidic systems either in the form of single or multiple particles. Experimentally, the most effective factors for tuning droplet/particle sizes are PLGA concentrations and the flow rates of dispersed and aqueous phases in microfluidics. These factors were utilized to develop five different and simple in structure artificial neural network (ANN) models that are capable of predicting PLGA particle sizes produced by different microfluidic systems either individually or jointly merged. The systematic development of ANN models allowed ultimate construction of a single in silico model which consists of data for three different microfluidic systems. This ANN model eventually allowed rapid prediction of particle sizes produced using various microfluidic systems. This AI application offers a new platform for further rapid and economical exploration of polymer particles production in defined sizes for various applications including biomimetic studies, biomedicine, and pharmaceutics.

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Organic polymer particles for biomedical applications

Cited by 3 publications

References 422 publications

Preparation of Surface-Supported Polylactide Spherical-Cap Particles

Preparation of Surface-Supported Polylactide Spherical-Cap Particles

Brain targeting of drugs via intranasal route in conjunction with nanoparticle-based systems: an updated review

Artificial intelligence application for rapid fabrication of size-tunable PLGA microparticles in microfluidics

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