A new model of resorbable device degradation and drug release: Transient 1-dimension diffusional model

Perale, Giuseppe; Arosio, Paolo; Moscatelli, Davide; Barri, Valentina; Müller, Michelle; Maccagnan, S.; Masi, Maurizio

doi:10.1016/j.jconrel.2009.02.014

Cited by 52 publications

(39 citation statements)

References 31 publications

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“…Various authors have proposed more advanced models for polymer degradation to take into account the interplay between hydrolysis and oligomer diffusion [20][21][22][23][24]. In particular, Perale et al [20] and Arosio et al [21] developed a polymer degradation model for solid devices by the description of polymer degradation kinetics coupled with the diffusion of water, monomers and oligomers through the polymeric matrix.…”

Section: Modifications To the Model Of Han And Pan [10]mentioning

confidence: 99%

“…In particular, Perale et al [20] and Arosio et al [21] developed a polymer degradation model for solid devices by the description of polymer degradation kinetics coupled with the diffusion of water, monomers and oligomers through the polymeric matrix. Their model describes the evolution of the molecular weight distribution function through the device and during time.…”

Section: Modifications To the Model Of Han And Pan [10]mentioning

confidence: 99%

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Analysis of degradation data of poly(l-lactide–co-l,d-lactide) and poly(l-lactide) obtained at elevated and physiological temperatures using mathematical models

et al. 2010

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Section: Modifications To the Model Of Han And Pan [10]mentioning

confidence: 99%

Section: Modifications To the Model Of Han And Pan [10]mentioning

confidence: 99%

Analysis of degradation data of poly(l-lactide–co-l,d-lactide) and poly(l-lactide) obtained at elevated and physiological temperatures using mathematical models

et al. 2010

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“…[19,20] However,e specially at lowd rug concentrations, severalo ther mechanisms, such as drug-polymer interactions, that could influencem ass transport take place and cannotb en eglected for an optimal deviced esign. [11] In this work, we studied the releaseo f sodiumf luorescein( SF), ac ommonly used drug-mimetic molecule, [21][22][23] chosen for itss terich indrance and its resemblance to many corticosteroids and anti-inflammatory drugs (for example,m ethylprednisolone, ibuprofen, and estradiol) used in pharmacotherapy. [24,25] Moreover,S Fm olecules present ac ommon tendency of anti-inflammatory drugs:a ggregation in dimers and trimers.…”

Section: Introductionmentioning

confidence: 99%

The Role of Drug–Drug Interactions in Hydrogel Delivery Systems: Experimental and Model Study

et al. 2016

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To address the increasing need for improved tissue substitutes, tissue engineering seeks to create synthetic, three-dimensional scaffolds made from polymeric materials able to incorporate cells and drugs. The interpretation of transport phenomena is a key step, but comprehensive theoretical data is still missing and many issues related to these systems are still unsolved. In particular, the contribution of solute-solute interactions is not yet completely understood. Here, we investigate a promising agar-carbomer (AC) hydrogel loaded with sodium fluorescein (SF), a commonly used drug mimetic. The self-diffusion coefficient of SF in AC formulations was measured by using high resolution magic angle spinning NMR spectroscopy (HR-MAS NMR). Starting from experimental data, a complete overview on SF transport properties is provided, in particular a mathematical model that describes and rationalizes the differences between gel and water environments is developed and presented. The hydrogel molecular environment is able to prevent SF aggregation, owing to the adsorption mechanism that reduces the number of monomers available for oligomer formation at low solute concentration. Then, when all adsorption sites are saturated free SF molecules are able to aggregate and form oligomers. The model predictions satisfactorily match with experimental data obtained in water and the gel environment, thus indicating that the model presented here, despite its simplicity, is able to describe the key phenomena governing device behavior and could be used to rationalize experimental activity.

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“…Through the coupling of these numerical methods, as displayed by the promising work of Zunino et al (2009), comprehensive models for the evaluation of stent performance in terms of its deployment characteristics influence on local vessel haemodynamics and effective drug-release may be developed. Furthermore, as bioabsorbable coronary stents such as the BVS everolimuseluting stent (Abbott Vascular, Santa Clara, CA, USA) continue to perform well in clinical evaluation (Serruys et al 2009), sophisticated numerical models capable of predicting both device degradation and drug-release from the device, such as that proposed by Perale et al (2009) will be required. It is possible that the development, adoption and coupling of each of these numerical methods may one day lead to their direct incorporation in clinical practice.…”

Section: Resultsmentioning

confidence: 99%

Computational structural modelling of coronary stent deployment: a review

Martín¹,

Boyle²

2011

Computer Methods in Biomechanics and Biomedical Engineering

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The finite element (FE) method is a powerful investigative tool in the field of biomedical engineering, particularly in the analysis of medical devices such as coronary stents whose performance is extremely difficult to evaluate in vivo. In recent years, a number of FE studies have been carried out to simulate the deployment of coronary stents, and the results of these studies have been utilised to assess and optimise the performance of these devices. The aim of this paper is to provide a thorough review of the state-of-the-art research in this area, discussing the aims, methods and conclusions drawn from a number of significant studies. It is intended that this paper will provide a valuable reference for future research in this area.

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A new model of resorbable device degradation and drug release: Transient 1-dimension diffusional model

Cited by 52 publications

References 31 publications

Analysis of degradation data of poly(l-lactide–co-l,d-lactide) and poly(l-lactide) obtained at elevated and physiological temperatures using mathematical models

Analysis of degradation data of poly(l-lactide–co-l,d-lactide) and poly(l-lactide) obtained at elevated and physiological temperatures using mathematical models

The Role of Drug–Drug Interactions in Hydrogel Delivery Systems: Experimental and Model Study

Computational structural modelling of coronary stent deployment: a review

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