Tobacco and Hot Pot Odor Adsorbed by Cotton, Wool, and Polyester Fabrics: Desorption Components and Dynamic Analysis

IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES AATCC Journal of Research Pub Date : 2022-11-12 DOI:10.1177/24723444221132330
Wenjuan Huang, Shuaitong Liang, Hongjuan Zhang, Xuemei Ding, Jiping Wang
{"title":"Tobacco and Hot Pot Odor Adsorbed by Cotton, Wool, and Polyester Fabrics: Desorption Components and Dynamic Analysis","authors":"Wenjuan Huang, Shuaitong Liang, Hongjuan Zhang, Xuemei Ding, Jiping Wang","doi":"10.1177/24723444221132330","DOIUrl":null,"url":null,"abstract":"Fibrous textiles readily absorb and desorb ambient odors. However, information on the composition and dynamic analysis of tobacco smoke and hot pot odors on fabrics during desorption is limited. This study used gas chromatography–mass spectrometry to analyze the desorption components of cotton, wool, and polyester fabrics exposed to these two odors, respectively. Then, a dynamic diffusion fabric structure model demonstrated the effect of airflow velocity and fabric porosity on nicotine desorption. Furthermore, we proposed mass diffusion coefficients with different molecular weights. The results showed that cotton fabrics with tobacco smoke released many low molecular weight compounds, while with wool fabrics significantly fewer compounds were detected than for the other two fabrics. Notably, 3-ethenylpyridine, a marker of tobacco smoke, was not detected in wool fabrics. For hot pot odor, cotton fabrics released more hexanal, nonanal, and anethole than wool and polyester, while wool fabrics released many β-pinenes. The numerical results of the dynamic model showed that the air inlet velocity significantly affects the nicotine concentration in the fabric. Meanwhile, the concentration of nicotine in fabrics with lower porosity decreased faster. A lower mass diffusion coefficient will cause odors to remain in the fabric. This study aimed at the composition and the dynamics of odor in fabrics and offers essential information and simple models for reducing unnecessary washing of textiles and odor resistance textile design.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"10 1","pages":"89 - 100"},"PeriodicalIF":0.6000,"publicationDate":"2022-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AATCC Journal of Research","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1177/24723444221132330","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, TEXTILES","Score":null,"Total":0}
引用次数: 1

Abstract

Fibrous textiles readily absorb and desorb ambient odors. However, information on the composition and dynamic analysis of tobacco smoke and hot pot odors on fabrics during desorption is limited. This study used gas chromatography–mass spectrometry to analyze the desorption components of cotton, wool, and polyester fabrics exposed to these two odors, respectively. Then, a dynamic diffusion fabric structure model demonstrated the effect of airflow velocity and fabric porosity on nicotine desorption. Furthermore, we proposed mass diffusion coefficients with different molecular weights. The results showed that cotton fabrics with tobacco smoke released many low molecular weight compounds, while with wool fabrics significantly fewer compounds were detected than for the other two fabrics. Notably, 3-ethenylpyridine, a marker of tobacco smoke, was not detected in wool fabrics. For hot pot odor, cotton fabrics released more hexanal, nonanal, and anethole than wool and polyester, while wool fabrics released many β-pinenes. The numerical results of the dynamic model showed that the air inlet velocity significantly affects the nicotine concentration in the fabric. Meanwhile, the concentration of nicotine in fabrics with lower porosity decreased faster. A lower mass diffusion coefficient will cause odors to remain in the fabric. This study aimed at the composition and the dynamics of odor in fabrics and offers essential information and simple models for reducing unnecessary washing of textiles and odor resistance textile design.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
棉花、羊毛和聚酯织物对烟草和火锅气味的吸附:解吸成分和动态分析
纤维纺织品容易吸收和释放周围的气味。然而,关于织物解吸过程中烟草烟雾和火锅气味的成分和动态分析的信息有限。本研究采用气相色谱-质谱分析分别暴露于这两种气味的棉、毛和涤纶织物的脱附成分。通过动态扩散织物结构模型验证了气流速度和织物孔隙度对烟碱解吸的影响。此外,我们还提出了不同分子量的质量扩散系数。结果表明,含烟草烟雾的棉织物释放出许多低分子量化合物,而羊毛织物释放出的化合物明显少于其他两种织物。值得注意的是,在羊毛织物中没有检测到烟草烟雾的标志物3-乙烯基吡啶。对于火锅气味,棉织物比羊毛和聚酯织物释放更多的己醛、壬醛和茴香醚,而羊毛织物释放更多的β-蒎烯。动态模型的数值计算结果表明,进气速度对织物中烟碱浓度有显著影响。同时,孔隙率越低的织物中尼古丁浓度下降越快。较低的质量扩散系数会使气味留在织物中。本研究旨在研究织物中气味的组成和动态,为减少纺织品不必要的洗涤和抗气味纺织品的设计提供必要的信息和简单的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
AATCC Journal of Research
AATCC Journal of Research MATERIALS SCIENCE, TEXTILES-
CiteScore
1.30
自引率
0.00%
发文量
34
期刊介绍: AATCC Journal of Research. This textile research journal has a broad scope: from advanced materials, fibers, and textile and polymer chemistry, to color science, apparel design, and sustainability. Now indexed by Science Citation Index Extended (SCIE) and discoverable in the Clarivate Analytics Web of Science Core Collection! The Journal’s impact factor is available in Journal Citation Reports.
期刊最新文献
Effect of Microwave Irradiation on Coloring and Mechanical Properties of Direct Dyed Fabric Statistical Optimization of Process Variables for the Dyeing of Jute with Marigold Petals Using a Dual Mordant System Application of Rare Earth Marking on Anti-counterfeiting Waterless/Less-Water Dyeing Technology Carbon Footprint of Wool at Cradle to Farm-Gate Stage in Victoria, Australia A Novel Polyvinylidene Fluoride/Keratin Electret Filter With Comprehensive Performance and High-Efficiency PM0.3 Removal
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1