2016
DOI: 10.1007/978-3-319-27598-7
|View full text |Cite|
|
Sign up to set email alerts
|

Modeling in Biopharmaceutics, Pharmacokinetics and Pharmacodynamics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
60
0
5

Year Published

2017
2017
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 85 publications
(66 citation statements)
references
References 0 publications
1
60
0
5
Order By: Relevance
“…The results presented in this report are strictly based on modeling and computation, which provides an ideal environment for systematic studies using well-controlled parameters and a userdefi ned complexity that can be gradually adapted. [ 64,65 ] Pure modeling and simulation is a deliberate choice of ours as direct experimental studies currently are not able to isolate and eliminate the infl uence of nanoparticle administration (i.e., pipetting) and nanoparticle detection. Most methods developed for detecting and quantifying nanoparticles are based on chemical elementary analysis [e.g., ICP techniques, [ 66,67 ] optical spectroscopy (e.g., absorption, [ 68 ] fl uorescence, [ 69 ] and vibrational [ 70,71 ] spectroscopy) , magnetic properties of the nanoparticle itself (e.g., superconducting quantum interference technique), [ 72 ] a molecular probe associated to the NPs, or neutron activation (e.g., radiolabeling techniques)].…”
Section: Introductionmentioning
confidence: 99%
“…The results presented in this report are strictly based on modeling and computation, which provides an ideal environment for systematic studies using well-controlled parameters and a userdefi ned complexity that can be gradually adapted. [ 64,65 ] Pure modeling and simulation is a deliberate choice of ours as direct experimental studies currently are not able to isolate and eliminate the infl uence of nanoparticle administration (i.e., pipetting) and nanoparticle detection. Most methods developed for detecting and quantifying nanoparticles are based on chemical elementary analysis [e.g., ICP techniques, [ 66,67 ] optical spectroscopy (e.g., absorption, [ 68 ] fl uorescence, [ 69 ] and vibrational [ 70,71 ] spectroscopy) , magnetic properties of the nanoparticle itself (e.g., superconducting quantum interference technique), [ 72 ] a molecular probe associated to the NPs, or neutron activation (e.g., radiolabeling techniques)].…”
Section: Introductionmentioning
confidence: 99%
“…Observing that the particles are in direct contact with the capillary wall, we assume that the drug release rate to the interstitial volume per unit capillary surface is determined by the combination of the flux delivered by a single particle with the density of particles adhering to the wall. Determining the release profile of a single (spherical) loaded particle is a well studied problem in pharmacology . Here, following , we define it using a power law model with saturation, q(t)q=tbtb+normalΥ,1emq=cnp*Vnp,1emthen1emq(t)=tbtb+normalΥcnp*Vnp, where q ( t ) is the amount of drug released and q ∞ is the total drug load of a nanoparticle, given by the total drug concentration inside the nanoparticle, cnp* (where * denotes an unspecified drug loaded on the particles), multiplied by the nanoparticle volume V n p .…”
Section: Methodsmentioning
confidence: 99%
“…For spherical-shaped samples, the n value lower than 0.43 was correlated to Fickian diffusion, whereas n value between 0.43 and 0.85 indicated the combined release mechanism. 68,69 The value of n 5 0.411 obtained from drug release occurred for 24 h from SA-loaded LMWC-B.8 which only involved diffusion did not best describe the release mechanism of the drug from a polymeric carrier like LMWC-B.8. From Table V, the data showed that Korsmeyer-Peppas model provided good fitting to < 80% of the drug release from SA-loaded LMWC-B.8 occurred during the first 14 h, as this suggested that the release of SA from this system (n 5 0.502) was not only governed by diffusion, but also included polymer swelling.…”
Section: In Vitro Release Studymentioning
confidence: 98%