Loughborough University
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Optimizing microneedle arrays for transdermal drug delivery: extension to non-square distribution of microneedles

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journal contribution
posted on 2009-03-17, 14:31 authored by Barrak Al-Qallaf, Diganta DasDiganta Das
The technology of fabricating microneedle arrays to deliver high molecular weight drugs across skin in a minimally invasive manner is receiving increasing attention. Microneedle arrays with different geometries have been manufactured using materials such as glass, polymer, metal, etc. However, a framework that can identify the optimum designs of these arrays seems to be lacking. This is important since by optimising the microneedles dimensions (e.g., surface area of the patch, microneedle radius, etc) the permeability of drugs in skin can be increased. To address this issue, this study presents an optimization framework for transdermal delivery of high molecular weight drug from microneedle. The optimization process is based on determining an optimisation function (g) for various microneedles patterns (e.g., square, diamond, triangular, etc). We argue that higher the value of g is the higher the drug permeability in skin is. The outputs of the developed framework have allowed us to identify the optimum design of both solid and hollow microneedles. In particular, the results have been used to predict skin permeability of high molecular weight using microneedle system. Also, optimum designs based on different classifications of skin thickness (e.g., race, age, etc) for transdermal delivery of drugs are suggested.



  • Aeronautical, Automotive, Chemical and Materials Engineering


  • Chemical Engineering


AL-QALLAF, B. and DAS, D.D., 2009. Optimizing microneedle arrays for transdermal drug delivery: extension to non-square distribution of microneedles. Journal of Drug Targeting, 17(2), pp.108-122.


© Informa Healthcare (Taylor and Francis Group)


  • AM (Accepted Manuscript)

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This is an article from the journal, Journal of Drug Targeting [© Informa Healthcare] and the definitive version is available at: http://dx.doi.org/10.1080/10611860802472370




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