MétaCan
← all works

Kinetic Analysis of Drug Release From Nanoparticles

2008· article· en· 334 citations· W1556912674 on OpenAlex· 10.18433/j3d59t

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian venueIt was published in a Canadian venue.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.199
GPT teacher head0.463
Teacher spread
0.264 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

PURPOSE: Comparative drug release kinetics from nanoparticles was carried out using conventional and our novel models with the aim of finding a general model applicable to multi mechanistic release. Theoretical justification for the two best general models was also provided for the first time. METHODS: Ten conventional models and three models developed in our laboratory were applied to release data of 32 drugs from 106 nanoparticle formulations collected from literature. The accuracy of the models was assessed employing mean percent error (E) of each data set, overall mean percent error (OE) and number of Es less than 10 percent. RESULTS: Among the models the novel reciprocal powered time (RPT), Weibull (W) and log- probability (LP) ones produced OE values of 6.47, 6.39 and 6.77, respectively. The OEs of other models were higher than 10%. Also the number of errors less than 10 percent for the models was 84.9, 80.2 and 78.3 percents of total number of data sets. CONCLUSIONS: Considering the accuracy criteria the reciprocal powered time model could be suggested as a general model for analysis of multi mechanistic drug release from nanoparticles. Also W and LP models were the closest to the suggested model.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Journal of Pharmacy & Pharmaceutical Sciences
Topic
Drug Solubulity and Delivery Systems
Field
Pharmacology, Toxicology and Pharmaceutics
Canadian institutions
Funders
Research Center for Pharmaceutical NanotechnologyUniversity of TabrizTabriz University of Medical Sciences
Keywords
DrugChemistryPharmacologyNanoparticleNanotechnologyMedicineMaterials science
Has abstract in OpenAlex
yes