Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model.

Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model. Research Abstract Details 

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Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model. Abstract Text:

Ghaleb A Husseini,Nabil M Abdel-Jabbar,Farouq S Mjalli,William G Pitt,

This paper models steady state acoustic release of Doxorubicin (Dox) from Pluronic P105 micelles using Artificial Neural Networks (ANN). Previously collected release data were compiled and used to train, validate, and test an ANN model. Sensitivity analysis was then performed on the following operating conditions: ultrasonic frequency, power density, Pluronic P105 concentration, and temperature. The model showed that drug release was most efficient at lower frequencies. The analysis also demonstrated that release increases as the power density increases. Sensitivity plots of ultrasound intensity revealed a drug release threshold of 0.015 W/cm2 and 0.38 W/cm2 at 20 and 70 kHz, respectively. The presence of a power density threshold provides strong evidence that cavitation plays an important role in acoustically 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 not play a major role in the physical mechanism involved. Finally, sensitivity plots of P105 concentration indicated that higher release was observed at lower copolymer concentrations.

Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model. Publishing Authors By Initials

GA Husseini,NM Abdel-Jabbar,FS Mjalli,WG Pitt,

For similar natural sciences: physics: acoustics: ultrasonics research abstracts see: natural sciences: physics: acoustics: ultrasonics research

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Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Technology in cancer research & treatment

VOLUME: 6

Page Numbers: 49-56

Journal Abbreviation: Technol. Cancer Res. Treat.

ISSN: 1533-0346

DAY: 3

MONTH: Feb

YEAR: 2007

Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model. Information

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LANGUAGE: eng

NlmUniqueID: 101140941

Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model. Keywords Mesh Terms:

KEYWORDS: Ultrasonics

MESH TERMS: chemical synthesis

Chemical & Substance for Abstract: Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model. Information

Substance Name: Doxorubicin

Registry Number: 23214-92-8

Grant and Affiliation Information for Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model.

AFFILIATION: Chemical Engineering Department, American University of Sharjah, Sharjah, United Arab Emirates. ghusseini@aus.edu

Country: United States

AGENCY: United States NCI

GRANT: R01 CA098138-02

ACRONYM: CA

MEDLINETA: Technol Cancer Res Treat

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