Odor and Odorous Chemical Emissions from Animal Buildings: Part 5. Simultaneous Chemical and Sensory Analysis with Gas Chromatography-Mass Spectrometry-Olfactometry

气味 嗅觉测定 化学 气相色谱法 谷仓 环境化学 色谱法 有机化学 土木工程 工程类
作者
Shuai Zhang,Jacek A. Koziel,Liang Cai,S. J. Hoff,K. Y. Heathcote,Lianghua Chen,Larry D. Jacobson,Neslihan Akdeniz,Brian P. Hetchler,David B. Parker,Edward A Caraway,Albert J. Heber,Sarah Bereznicki
出处
期刊:Transactions of the ASABE [American Society of Agricultural and Biological Engineers]
卷期号:: 1349-1359 被引量:15
标识
DOI:10.13031/trans.58.11123
摘要

Simultaneous chemical and sensory analyses using gas chromatography-mass spectrometry-olfactometry (GC-MS-O) for air samples collected at barn exhaust fans were used for quantification and ranking of the odor impacts of target odorous gases. Fifteen target odorous VOCs (odorants) were selected. Air samples were collected at dairy barns in Wisconsin and Indiana and at swine barns in Iowa and Indiana over a one-year period. The livestock facilities with these barns participated in the National Air Emissions Monitoring Study (NAEMS). Gas concentrations, odor character and intensity, hedonic tone, and odor peak area of the target odorants in air samples were measured simultaneously with GC-MS-O. The four individual odorants emitted from both dairy and swine sites with the largest odor impacts (measured as odor activity value, OAV) were 4-methyl phenol, butanoic acid, 3-methyl butanoic acid, and indole. The total odor (limited to target VOCs and referred to as the measured concentrations, odor intensities, and OAVs) emitted from the swine sites was generally greater than that from the dairy sites. The Weber-Fechner law was used to correlate measured odor intensities with chemical concentrations. Odorants with higher mean OAV followed the Weber-Fechner law much better than odorants with lower mean OAV. The correlations between odor intensities and chemical concentrations were much better for the swine sites (typically p < 0.05 and R2 = 0.16 to 0.51) than for the dairy sites (typically p > 0.05 and R2 < 0.15). Linking specific gases to odor could assist in the development and evaluation of odor mitigation technologies for solving livestock odor nuisance problems.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
LO7pM2完成签到,获得积分10
1秒前
1秒前
千空应助Oaizil采纳,获得10
2秒前
英俊的铭应助木木采纳,获得30
4秒前
RLV完成签到,获得积分10
4秒前
情怀应助qee采纳,获得10
5秒前
任小萱发布了新的文献求助10
5秒前
Yy发布了新的文献求助10
5秒前
CXS完成签到,获得积分10
5秒前
fanfan44390发布了新的文献求助10
5秒前
陶醉菲鹰完成签到,获得积分10
6秒前
7秒前
gyh应助wangmanli采纳,获得10
7秒前
科研通AI6.2应助zyy采纳,获得30
9秒前
itsserene完成签到,获得积分10
9秒前
9秒前
10秒前
无奈萝发布了新的文献求助10
10秒前
轻松安珊完成签到,获得积分10
10秒前
11秒前
12秒前
甜蜜的依玉完成签到,获得积分10
13秒前
13秒前
大嘴巴子发布了新的文献求助10
13秒前
14秒前
隐形曼青应助nnn采纳,获得10
14秒前
ZZZ发布了新的文献求助10
14秒前
14秒前
KBCG发布了新的文献求助10
15秒前
15秒前
madao发布了新的文献求助10
16秒前
18秒前
18秒前
DAY完成签到 ,获得积分10
20秒前
史萌发布了新的文献求助10
20秒前
21秒前
Li发布了新的文献求助10
21秒前
21秒前
21秒前
77le发布了新的文献求助10
21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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6025170
求助须知:如何正确求助?哪些是违规求助? 7660392
关于积分的说明 16178481
捐赠科研通 5173325
什么是DOI,文献DOI怎么找? 2768143
邀请新用户注册赠送积分活动 1751567
关于科研通互助平台的介绍 1637648