Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model
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 operat...
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2007
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| Online Access: | http://hdl.handle.net/11073/21348 |
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| _version_ | 1864513436200730624 |
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| author | Husseini, Ghaleb |
| author2 | Abdel-Jabbar, Nabil Mjalli, Farouq Sabri Pitt, William G. |
| author2_role | author author author |
| author_facet | Husseini, Ghaleb Abdel-Jabbar, Nabil Mjalli, Farouq Sabri Pitt, William G. |
| author_role | author |
| dc.creator.none.fl_str_mv | Husseini, Ghaleb Abdel-Jabbar, Nabil Mjalli, Farouq Sabri Pitt, William G. |
| dc.date.none.fl_str_mv | 2007 2021-03-07T09:27:16Z 2021-03-07T09:27:16Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 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. February 2007:49-56. doi:10.1177/153303460700600107. 1533-0346 http://hdl.handle.net/11073/21348 10.1177/153303460700600107 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | Adenine Press |
| dc.relation.none.fl_str_mv | https://doi.org/10.1177/153303460700600107 |
| dc.subject.none.fl_str_mv | Artificial neural networks Polymeric micelles Ultrasonic stimulus Doxorubicin Pluronic P105 |
| dc.title.none.fl_str_mv | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | 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. |
| format | article |
| id | aus_607d8862c8b4c600b822bfae1ebc6a58 |
| identifier_str_mv | 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. February 2007:49-56. doi:10.1177/153303460700600107. 1533-0346 10.1177/153303460700600107 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/21348 |
| publishDate | 2007 |
| publisher.none.fl_str_mv | Adenine Press |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network ModelHusseini, GhalebAbdel-Jabbar, NabilMjalli, Farouq SabriPitt, William G.Artificial neural networksPolymeric micellesUltrasonic stimulusDoxorubicinPluronic P105This 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.Adenine Press2021-03-07T09:27:16Z2021-03-07T09:27:16Z2007Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfHusseini 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. February 2007:49-56. doi:10.1177/153303460700600107.1533-0346http://hdl.handle.net/11073/2134810.1177/153303460700600107en_UShttps://doi.org/10.1177/153303460700600107oai:repository.aus.edu:11073/213482024-08-22T12:04:52Z |
| spellingShingle | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model Husseini, Ghaleb Artificial neural networks Polymeric micelles Ultrasonic stimulus Doxorubicin Pluronic P105 |
| status_str | publishedVersion |
| title | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model |
| title_full | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model |
| title_fullStr | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model |
| title_full_unstemmed | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model |
| title_short | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model |
| title_sort | Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model |
| topic | Artificial neural networks Polymeric micelles Ultrasonic stimulus Doxorubicin Pluronic P105 |
| url | http://hdl.handle.net/11073/21348 |