JOURNAL ARTICLE

Development of sustainable aroma and mosquito repellent finish for textiles.

  • Published In: BTRA Scan, 2025, v. 54, n. 3. P. 5 1 of 3

  • Database: The Belt and Road Initiative Reference Source 2 of 3

  • Authored By: Sathianarayanan, M. P.; Hemani, Karishma; Nitturkar, Shraddha 3 of 3

Abstract

Functional finishing of textiles has been in great demand since the last two decades in domestic and industrial applications. Mosquito repellent textiles are one of the most demanded functional finished textiles in the current market. The investigation of this research is to study the combined effect of fragrance and mosquito repellant property on cotton fabric by using Lavender and Citronella essential oil by means of nano encapsulation. Nano encapsulated essential oil prepared via sol gel process and is applied on cotton fabric through nip-pad-dry method. The treated fabric is found to have good mosquito repellant property with reasonable wash durability up to five domestic washes. The aroma release of transformed tissue and washed fabric was estimated by chromatography/mass spectrometry of head space (HS-GC/MS) by measuring the concentration of the main components in tissue treated with essential oils. The results reveal that in each wash cycle, the essential oil is released from the treated fabric as the concentration of chemical compounds decreases gradually. A panel assessment and a field trial of mosquito repellant property have been done to validate the HS-GC/MS study. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:BTRA Scan. 2025/07, Vol. 54, Issue 3, p5
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2025
  • ISSN:0972-8341
  • DOI:10.70225/783640mzvikz
  • Accession Number:188702855
  • Copyright Statement:Copyright of BTRA Scan is the property of Bombay Textile Research Association (BTRA) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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