An evaluation of masking nuisance odors from a source by chemical and sensory analyses

讨厌的人 遮罩(插图) 气味 感觉系统 环境科学 心理学 生物 生态学 艺术 认知心理学 神经科学 视觉艺术
作者
I. H. Suffet,V. Decottignies,Yubin Zhou,Yuge Bian,Tadeo Vitko
出处
期刊:Water Environment Research [Wiley]
卷期号:95 (7) 被引量:3
标识
DOI:10.1002/wer.10901
摘要

Abstract There are many products in the market advertised as masking agents used to overpower strong nuisance odors, such as in or around water resource recovery facilities, solid waste processing facilities, landfills, composting sites, and so forth. Very little is known about the chemical component of these masking agents because they are protected by trade secrets. This is a problem for the parties involved, as the process of choosing the most adequate agent for the particular odor source falls into guesswork. This paper demonstrates that it is possible to determine how effective the masking product would be before spending time and resources in trials. It proposes to show this by comparing the Weber–Fechner curves of the odor‐causing compounds known to be emitted at the facility with the curves from the potential masking agents prepared in the laboratory using an olfactometer. Several sensorial examples show that when the Weber–Fechner curves of the odorants and those of candidate masking agents are compared, it is possible to define the effectiveness of the masking agent tested. This is a novel use of the Weber–Fechner curves. The results show there is direct correlation between what is observed by a panel with real life odor samples subjected to incremental dilution and the Weber–Fechner odor intensity‐odor concentration curve interaction between the odorants involved. Future work characterizing additional potential masking compounds by Weber–Fechner accompanied by odor profiling with dynamic olfactometry should shed light on the definitive effectiveness of this method in predicting masking effects and discovering useful masking compounds. Practitioner Points Weber–Fechner curves provide relationships between odorant concentration and odor intensity. Dynamic olfactometry, in which real‐life air samples are sensorially analyzed by the odor profile method after subsequent dilutions, shows that odor masking occurs. Analyzing the Weber–Fechner curves of the odorants present in the dynamic olfactometry test show the existing odorant interactions. It is possible to predict the extent of the masking of potential compounds by comparing Weber–Fechner curves of masking agents against odorants causing nuisance. This methodology could help avoid spending resources in masking field trials that may result in further exacerbating the affected public.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Akim应助科研通管家采纳,获得10
1秒前
英俊的铭应助科研通管家采纳,获得10
1秒前
汉堡包应助科研通管家采纳,获得10
1秒前
科研通AI6应助科研通管家采纳,获得10
1秒前
英俊的铭应助科研通管家采纳,获得10
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
Orange应助科研通管家采纳,获得10
1秒前
1秒前
鱼羊明完成签到 ,获得积分10
3秒前
hui发布了新的文献求助10
3秒前
Archer完成签到,获得积分10
5秒前
buno发布了新的文献求助30
6秒前
春风不语发布了新的文献求助10
7秒前
7秒前
7秒前
cc0803完成签到 ,获得积分10
7秒前
Alma完成签到,获得积分10
9秒前
桐桐应助yayaya采纳,获得10
9秒前
10秒前
10秒前
hulian发布了新的文献求助10
11秒前
黎明森发布了新的文献求助10
11秒前
DDDD应助RayHey采纳,获得30
13秒前
13秒前
传奇3应助bbhk采纳,获得30
14秒前
14秒前
贪玩的访风完成签到 ,获得积分10
14秒前
14秒前
笑相发布了新的文献求助10
14秒前
15秒前
15秒前
李爱国应助hui采纳,获得10
15秒前
changnan完成签到,获得积分20
17秒前
潇湘雪月完成签到,获得积分10
19秒前
深情安青应助琢钰采纳,获得10
19秒前
112发布了新的文献求助10
19秒前
20秒前
情怀应助Qssai采纳,获得10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
King Tyrant 720
T/CIET 1631—2025《构网型柔性直流输电技术应用指南》 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5589963
求助须知:如何正确求助?哪些是违规求助? 4674416
关于积分的说明 14793871
捐赠科研通 4629469
什么是DOI,文献DOI怎么找? 2532480
邀请新用户注册赠送积分活动 1501159
关于科研通互助平台的介绍 1468527