Keywords

Artificial neural networks; Polymeric micelles; Ultrasonic stimulus; Doxorubicin;and Pluronic P105

Abstract

This paper models steady state acoustic release of Doxorubicin (Dox) from Pluronic P105micelles using Artificial Neural Networks (ANN). Previously collected release data werecompiled and used to train, validate, and test an ANN model. Sensitivity analysis was thenperformed on the following operating conditions: ultrasonic frequency, power density, Plu-ronic P105 concentration, and temperature. The model showed that drug release was mostefficient at lower frequencies. The analysis also demonstrated that release increases as thepower density increases. Sensitivity plots of ultrasound intensity revealed a drug releasethreshold of 0.015 W/cm2 and 0.38 W/cm2 at 20 and 70 kHz, respectively. The presence ofa power density threshold provides strong evidence that cavitation plays an important role inacoustically activated drug release from polymeric micelles. Based on the developed model,Dox release is not a strong function of temperature, suggesting that thermal effects do notplay a major role in the physical mechanism involved. Finally, sensitivity plots of P105 con-centration indicated that higher release was observed at lower copolymer concentrations.

Original Publication Citation

Husseini GA, Abdel-Jabbar NM, Mjalli FS, Pitt WG. Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model. Technology in Cancer Research & Treatment. 2007;6(1):49-56. doi:10.1177/153303460700600107

Document Type

Peer-Reviewed Article

Publication Date

2007-2

Publisher

SAGE Publications

Language

English

College

Ira A. Fulton College of Engineering

Department

Chemical Engineering

University Standing at Time of Publication

Full Professor

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