IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 105

Article Submitted : 11842

Article Published : 5939

Total Authors : 15623

Total Reviewer : 594

Total Countries : 108

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Ethosomal Drug Delivery System and its application in treating Alopecia Areata: A Review
Authors Name: Shuchi Shukla , Bansari Parikh , Nirav Shah
Download E-Certificate: Download
Author Reg. ID:
IJRTI_190108
Published Paper Id: IJRTI2407007
Published In: Volume 9 Issue 7, July-2024
DOI: https://doi.org/10.5281/zenodo.12654098
Abstract: Alopecia areata, an autoimmune condition characterized by patchy hair loss, affects approximately 2% of the global population, both male and female, with its prevalence on the rise. Present treatments for alopecia areata are insufficient as they fail to directly target hair follicles, are time-consuming, expensive, and prone to recurrence. Hence, a newer ethosomal formulation with an increased permeability and bioavailability of the therapeutic drug, improved targeting, stability, and prolonged drug retention will be an effective therapy. This study aims to expand on the concept of ethosomes, detailing their preparation method, penetration mechanism, composition, and their application in the treatment of alopecia.
Keywords: Ethosomal Drug delivery, Alopecia areata, Hair loss, Nano delivery, Drug penetration
Cite Article: "Ethosomal Drug Delivery System and its application in treating Alopecia Areata: A Review", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 7, page no.78 - 85, July-2024, Available :http://www.ijrti.org/papers/IJRTI2407007.pdf
Downloads: 000204770
ISSN: 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
Publication Details: Published Paper ID: IJRTI2407007
Registration ID:190108
Published In: Volume 9 Issue 7, July-2024
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.12654098
Page No: 78 - 85
Country: Ahmedabad , Gujarat , India
Research Area: Pharmacy
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2407007
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2407007
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner