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The inability of the majority of medicines to permeate the skin at therapeutically effective rates has greatly hindered the success of transdermal drug delivery. Recently, it has been suggested and demonstrated that using micron-scale needles to boost skin permeability will significantly increase transdermal delivery, especially for macromolecules. Using microelectronics tools Industry has produced microneedles in a variety of sizes, shapes, and materials. Most research on medication delivery has highlighted the use of solid microneedles, which have been demonstrated to improve the skin's permeability to a variety of compounds and nanoparticles made in a lab. In vivo experiments have shown that oligonucleotide delivery, insulin's lowering of blood sugar, and the generation of immune responses by protein and DNA vaccines are all possible. To improve transport by diffusion or iontophoresis or to act as drug carriers that release medication into the skin from a microneedle surface coating, needle arrays have been employed in these investigations to puncture holes into the skin. It has been demonstrated that hollow microneedles can microinject insulin into diabetic rats. In order to address practical uses of microneedles, it was discovered that needles with small tip radius and large wall thickness have the best ratio of microneedle fracture force to skin insertion force (i.e. margin of safety). Human volunteers' skin was punctured using microneedles, which were claimed to be painless. These findings taken together imply that microneedles are a promising method for delivering medicinal substances into the skin for a variety of potential uses.
" Microneedles For Transdermal Drug Delivery", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1235 - 1242, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304202.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator