Intelligent design of microneedle structure for drug delivery system
Transdermal drug delivery (TDD) is an attractive system to transport drugs or biological compounds into human body, for its apparent benefit of eliminating pain and inconvenient intravenous injections. Microneedle is one example of TDD devices that involves various parameters and complex set of des...
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my-unimap-770632022-11-17T04:24:52Z Intelligent design of microneedle structure for drug delivery system Nurul Izza, Mohd Nor, Dr. Transdermal drug delivery (TDD) is an attractive system to transport drugs or biological compounds into human body, for its apparent benefit of eliminating pain and inconvenient intravenous injections. Microneedle is one example of TDD devices that involves various parameters and complex set of design requirements. Design and analysis of microneedle structure for drug delivery system has been an important issue among researchers especially in biological micro-electro-mechanical system (BioMEMS) field. As MEMS-based microneedles develop in complexity, there is a greater need to reduce the time taken for a MEMS designer to analyze their design before proceed to fabrication process. This study proposed the used of artificial intelligence (AI) methods as a systematic optimization tool to reduce the amount of time taken for designing a microneedle structure. An optimization of microneedle structure is demonstrated by using two techniques of AI which are particle swarm optimization (PSO) and genetic algorithm (GA). A hybrid optimization algorithm has been investigated by combining the PSO with GA to improve computation competency. This combination method is called hybrid PSO-GA (HPSOGA). There are eight design variables of microneedle structure to be optimized in this research. The complex design of microneedle structure considers the shape of microneedle, material used, size of the array, the base of microneedle, the lumen base, the height of microneedle, the height of the lumen, and the height of the drug container or reservoir. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77063 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77063/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77063/1/Page%201-24.pdf 552b5f44296c4d74758ef0063b8e7fda http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77063/2/Full%20text.pdf e189df948aa920aca71d3d26195db345 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77063/4/Nur%20Afifah%20Ism.pdf 0cb9f31305d3b37ef2b425d0407bba2b Universiti Malaysia Perlis (UniMAP) Transdermal medication Drug delivery systems Microneedle Microneedle -- Design and construction Transdermal drug delivery (TDD) School of Microelectronic Engineering |
institution |
Universiti Malaysia Perlis |
collection |
UniMAP Institutional Repository |
language |
English |
advisor |
Nurul Izza, Mohd Nor, Dr. |
topic |
Transdermal medication Drug delivery systems Microneedle Microneedle -- Design and construction Transdermal drug delivery (TDD) |
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Transdermal medication Drug delivery systems Microneedle Microneedle -- Design and construction Transdermal drug delivery (TDD) Intelligent design of microneedle structure for drug delivery system |
description |
Transdermal drug delivery (TDD) is an attractive system to transport drugs or biological compounds into human body, for its apparent benefit of eliminating pain and inconvenient intravenous injections. Microneedle is one example of TDD devices that
involves various parameters and complex set of design requirements. Design and analysis of microneedle structure for drug delivery system has been an important issue among researchers especially in biological micro-electro-mechanical system
(BioMEMS) field. As MEMS-based microneedles develop in complexity, there is a greater need to reduce the time taken for a MEMS designer to analyze their design before proceed to fabrication process. This study proposed the used of artificial
intelligence (AI) methods as a systematic optimization tool to reduce the amount of time taken for designing a microneedle structure. An optimization of microneedle structure is demonstrated by using two techniques of AI which are particle swarm
optimization (PSO) and genetic algorithm (GA). A hybrid optimization algorithm has been investigated by combining the PSO with GA to improve computation competency. This combination method is called hybrid PSO-GA (HPSOGA). There are
eight design variables of microneedle structure to be optimized in this research. The complex design of microneedle structure considers the shape of microneedle, material used, size of the array, the base of microneedle, the lumen base, the height of
microneedle, the height of the lumen, and the height of the drug container or reservoir. |
format |
Thesis |
title |
Intelligent design of microneedle structure for drug delivery system |
title_short |
Intelligent design of microneedle structure for drug delivery system |
title_full |
Intelligent design of microneedle structure for drug delivery system |
title_fullStr |
Intelligent design of microneedle structure for drug delivery system |
title_full_unstemmed |
Intelligent design of microneedle structure for drug delivery system |
title_sort |
intelligent design of microneedle structure for drug delivery system |
granting_institution |
Universiti Malaysia Perlis (UniMAP) |
granting_department |
School of Microelectronic Engineering |
url |
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77063/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77063/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77063/4/Nur%20Afifah%20Ism.pdf |
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