Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{207250,
author = {Dr. Jadhav Bhagyashri Dnyanoba and Miss. PRIYANKA SURYABHAN SIRSAT and Mrs. SHIVANI VILAS KAMBLE},
title = {INTEGRATION OF NANOTECHNOLOGY, SMART E- TEXTILES, AND ADVANCED CIRCULAR BIO- COMPOSITES IN MODERN TEXTILE DESIGN: AN ENGINEERING & METHODOLOGICAL FRAMEWORK},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {3},
pages = {28-33},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=207250},
abstract = {The contemporary textile design domain is experiencing a profound technological revolution, expanding far beyond conventional aesthetic ornamentation into functional materials, smart electronic textiles (E-textiles), microencapsulated bio-finishes, and advanced nano-engineered structural fabrics. Conducted under the leadership of Dr. Jadhav Bhagyashri Dnyanoba, Miss. Priyanka Suryabhan Sirsat, and Mrs. Shivani Vilas Kamble at Yedeshwari College of Fashion Design, Yermala (Dist. Dharashiv, Maharashtra), this 15-page comprehensive research paper establishes a cutting-edge multidisciplinary framework for smart and sustainable textile design. The investigation explores the synthesis of conductive silver-nanowire (AgNW) decorated yarns for physiological monitoring, enzyme-assisted microencapsulation of natural botanical colorants for UV-protective and hydrophobic functional surfaces, and circular agricultural bio-composites derived from regional crop residues (agave, sugarcane bagasse, and banana stem fibers). Quantitative experimental results demonstrate that nano-titanium dioxide (TiO2) functionalized natural fabrics exhibit an ultra-high Ultraviolet Protection Factor (UPF 50+), a 99.2% bacterial reduction rate against Staphylococcus aureus, and a tensile strength enhancement of 62% over standard woven cotton. Furthermore, machine-learning-assisted woven structural predictive models reduced structural yarn consumption by 14.5% while enhancing tear resistance. This monograph offers an advanced academic and industrial blueprint for fashion technology researchers, smart garment developers, and regional technical textile manufacturing clusters.},
keywords = {Textile Engineering, Smart E-Textiles, Nanotechnology Finishes, Microencapsulation, Conductive Yarns, Hydrophobic Bio-Coating, Artificial Intelligence Pattern Optimization, Circular Bio-Composites, Dharashiv Regional Innovation.},
month = {August},
}
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