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

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

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

41 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةEnglish
الصفحات (من إلى)49-56
عدد الصفحات8
دوريةTechnology in Cancer Research and Treatment
مستوى الصوت6
رقم الإصدار1
المعرِّفات الرقمية للأشياء
حالة النشرPublished - فبراير 2007
منشور خارجيًانعم

ASJC Scopus subject areas

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بصمة

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