Application of Thermodynamic Methods in Enhancing the Antibacterial Performance of Textile Materials

With the growing awareness of healthy lifestyles, the antibacterial properties of textile materials have become a hotspot in market research and product development.Textile antibacterial technology effectively inhibits bacterial growth, improving comfort and health during wear, making it widely applicable in daily life, sports, and medical fields.However, traditional antibacterial treatment methods face several challenges, such as poor durability of antibacterial effects and high sensitivity to temperature variations, which presents new research directions for improving the antibacterial properties of textile materials.Many studies have attempted to improve the antibacterial performance of textiles through chemical treatments, nanotechnology, and other means, but most focus on single materials or factors and lack in-depth exploration of the combined effects of multiple factors.Additionally, existing antibacterial performance tests often overlook the behavior of textiles under different temperature conditions, leading to certain limitations in evaluating their antibacterial effectiveness.To address these issues, thermodynamic principles, particularly multivariable linear regression analysis, have become a new trend in research, as they can comprehensively consider the influence of multiple factors on antibacterial performance and predict outcomes through regression models.This study consists of two main parts: firstly, a multivariable linear regression analysis to explore the impact of temperature rise on the antibacterial performance of textile materials, and the establishment of a corresponding predictive model; secondly, practical antibacterial performance tests to verify the effectiveness and practicality of the regression model.The research findings help uncover the mechanisms by which temperature changes affect the antibacterial performance of textiles and provide new theoretical and technical support for improving the antibacterial functionality of textile materials.

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Publication Details

Journal
International Journal of Heat and Technology
Published
2024-12-31
DOI
https://doi.org/10.18280/ijht.420615
Primary Topic
Dyeing and Modifying Textile Fibers
Type
article
Field-Weighted Citation Impact
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article

Application of Thermodynamic Methods in Enhancing the Antibacterial Performance of Textile Materials

Long Liu, Yuhuan Zhao, Peng Li, Xiaobang Shang et al.
4 links
International Journal of Heat and Technology
Dyeing and Modifying Textile Fibers
article

Application of Thermodynamic Methods in Enhancing the Antibacterial Performance of Textile Materials

Long Liu, Yuhuan Zhao, Peng Li, Xiaobang Shang, Jian Sun
article en

Abstract

With the growing awareness of healthy lifestyles, the antibacterial properties of textile materials have become a hotspot in market research and product development.Textile antibacterial technology effectively inhibits bacterial growth, improving comfort and health during wear, making it widely applicable in daily life, sports, and medical fields.However, traditional antibacterial treatment methods face several challenges, such as poor durability of antibacterial effects and high sensitivity to temperature variations, which presents new research directions for improving the antibacterial properties of textile materials.Many studies have attempted to improve the antibacterial performance of textiles through chemical treatments, nanotechnology, and other means, but most focus on single materials or factors and lack in-depth exploration of the combined effects of multiple factors.Additionally, existing antibacterial performance tests often overlook the behavior of textiles under different temperature conditions, leading to certain limitations in evaluating their antibacterial effectiveness.To address these issues, thermodynamic principles, particularly multivariable linear regression analysis, have become a new trend in research, as they can comprehensively consider the influence of multiple factors on antibacterial performance and predict outcomes through regression models.This study consists of two main parts: firstly, a multivariable linear regression analysis to explore the impact of temperature rise on the antibacterial performance of textile materials, and the establishment of a corresponding predictive model; secondly, practical antibacterial performance tests to verify the effectiveness and practicality of the regression model.The research findings help uncover the mechanisms by which temperature changes affect the antibacterial performance of textiles and provide new theoretical and technical support for improving the antibacterial functionality of textile materials.

International Journal of Heat and TechnologyVol. 42(6)
Openalex Percentile: Top 72%
Dyeing and Modifying Textile Fibers
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