采用组合实验设计对汽车关键内饰部件的气味排放进行研究

IF 7.1 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Guanqiong Wei , Yiming Xiao , Jing Wang , Xudong Yang
{"title":"采用组合实验设计对汽车关键内饰部件的气味排放进行研究","authors":"Guanqiong Wei ,&nbsp;Yiming Xiao ,&nbsp;Jing Wang ,&nbsp;Xudong Yang","doi":"10.1016/j.buildenv.2025.113055","DOIUrl":null,"url":null,"abstract":"<div><div>This study used a combinatorial approach with vehicle interior components to bridge perceived odors and volatile organic compound (VOC) emissions, capturing real-world interactions like odor masking. A dynamic source-tracing experimental design sequentially introduced five key interior components (seats, carpets, headliners, door panels, and weatherstrips) into controlled chambers according to their odor intensity. Odor profiles and VOC emissions were characterized via panel evaluations, odor activity value (OAV) analysis, and chemical mass balance (CMB) modeling. Results showed that seats and door panels were the dominant contributors shaping the overall odor type. Adding a seat increased the average odor intensity (OI) by 0.6 to 1.1 and odor similarity by 28 % to 40 %. The addition of a door panel increased the similarity from 12 % to 48 %. In contrast, weatherstrips did not significantly influence the odor character, their distinct smell was masked by the other components, even though their presence boosted overall odor intensity. OAV screening identified 11 key odor-related substances, including butanal, nonanal, and decanal. The CMB analysis revealed that door panels, seats, and weatherstrips contributed 58 %, 26 %, and 16 % of the odor-related substances, respectively. The carpet and headliner did not result in noticeable odor changes, and the carpet occasionally exhibited a negative source effect. These findings contribute to the understanding of in-vehicle odor sources and provide insights into the reduction of unpleasant odors through targeted materials and manufacturing adjustments.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"279 ","pages":"Article 113055"},"PeriodicalIF":7.1000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Odor emissions from key vehicle interior components using combinatorial experimental design\",\"authors\":\"Guanqiong Wei ,&nbsp;Yiming Xiao ,&nbsp;Jing Wang ,&nbsp;Xudong Yang\",\"doi\":\"10.1016/j.buildenv.2025.113055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study used a combinatorial approach with vehicle interior components to bridge perceived odors and volatile organic compound (VOC) emissions, capturing real-world interactions like odor masking. A dynamic source-tracing experimental design sequentially introduced five key interior components (seats, carpets, headliners, door panels, and weatherstrips) into controlled chambers according to their odor intensity. Odor profiles and VOC emissions were characterized via panel evaluations, odor activity value (OAV) analysis, and chemical mass balance (CMB) modeling. Results showed that seats and door panels were the dominant contributors shaping the overall odor type. Adding a seat increased the average odor intensity (OI) by 0.6 to 1.1 and odor similarity by 28 % to 40 %. The addition of a door panel increased the similarity from 12 % to 48 %. In contrast, weatherstrips did not significantly influence the odor character, their distinct smell was masked by the other components, even though their presence boosted overall odor intensity. OAV screening identified 11 key odor-related substances, including butanal, nonanal, and decanal. The CMB analysis revealed that door panels, seats, and weatherstrips contributed 58 %, 26 %, and 16 % of the odor-related substances, respectively. The carpet and headliner did not result in noticeable odor changes, and the carpet occasionally exhibited a negative source effect. These findings contribute to the understanding of in-vehicle odor sources and provide insights into the reduction of unpleasant odors through targeted materials and manufacturing adjustments.</div></div>\",\"PeriodicalId\":9273,\"journal\":{\"name\":\"Building and Environment\",\"volume\":\"279 \",\"pages\":\"Article 113055\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Building and Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360132325005360\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Building and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360132325005360","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

本研究使用车辆内部组件的组合方法来桥接感知气味和挥发性有机化合物(VOC)排放,捕捉真实世界的相互作用,如气味掩蔽。动态源追踪实验设计依次将五种关键的室内组件(座椅、地毯、头罩、门板和挡风饰条)根据其气味强度引入受控室。通过小组评估、气味活性值(OAV)分析和化学质量平衡(CMB)模型对气味特征和VOC排放进行了表征。结果表明,座椅和门板是影响整体气味类型的主要因素。增加一个座位使平均气味强度(OI)增加0.6到1.1,气味相似度增加28%到40%。增加一个门板将相似度从12%提高到48%。相比之下,气象条对气味特征没有显著影响,尽管它们的存在提高了整体气味强度,但它们独特的气味被其他成分掩盖了。OAV筛选确定了11种关键的气味相关物质,包括丁醛、壬醛和癸醛。CMB的分析显示,门板、座椅和挡风饰条分别贡献了58%、26%和16%的气味相关物质。地毯和标题不会导致明显的气味变化,地毯偶尔会表现出负源效应。这些发现有助于了解车内气味的来源,并为通过有针对性的材料和制造调整来减少令人不快的气味提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Odor emissions from key vehicle interior components using combinatorial experimental design
This study used a combinatorial approach with vehicle interior components to bridge perceived odors and volatile organic compound (VOC) emissions, capturing real-world interactions like odor masking. A dynamic source-tracing experimental design sequentially introduced five key interior components (seats, carpets, headliners, door panels, and weatherstrips) into controlled chambers according to their odor intensity. Odor profiles and VOC emissions were characterized via panel evaluations, odor activity value (OAV) analysis, and chemical mass balance (CMB) modeling. Results showed that seats and door panels were the dominant contributors shaping the overall odor type. Adding a seat increased the average odor intensity (OI) by 0.6 to 1.1 and odor similarity by 28 % to 40 %. The addition of a door panel increased the similarity from 12 % to 48 %. In contrast, weatherstrips did not significantly influence the odor character, their distinct smell was masked by the other components, even though their presence boosted overall odor intensity. OAV screening identified 11 key odor-related substances, including butanal, nonanal, and decanal. The CMB analysis revealed that door panels, seats, and weatherstrips contributed 58 %, 26 %, and 16 % of the odor-related substances, respectively. The carpet and headliner did not result in noticeable odor changes, and the carpet occasionally exhibited a negative source effect. These findings contribute to the understanding of in-vehicle odor sources and provide insights into the reduction of unpleasant odors through targeted materials and manufacturing adjustments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Building and Environment
Building and Environment 工程技术-工程:环境
CiteScore
12.50
自引率
23.00%
发文量
1130
审稿时长
27 days
期刊介绍: Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信