首页> 外文OA文献 >Odor and Odorous Chemical Emissions from Animal Buildings: Part 4. Correlations Between Sensory and Chemical Measurements
【2h】

Odor and Odorous Chemical Emissions from Animal Buildings: Part 4. Correlations Between Sensory and Chemical Measurements

机译:动物建筑物产生的异味和异味化学排放物:第4部分。感官和化学测量之间的相关性

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This study supplemented the National Air Emissions Monitoring Study (NAEMS) with one year of comprehensive measurements of odor emission at five swine and four dairy buildings. The measurements included both standard human sensory measurements using dynamic forced-choice olfactometry and chemical analysis of the odorous compounds using gas chromatography-mass spectrometry. In this article, multilinear regressions between odor and gas concentrations (a total of 20 compounds including H2S, NH3, and VOCs) were investigated. Regressions between odor and gas emission rates were also tested. It was found that gas concentrations, rather than emission rates, should be used to develop multilinear regression models. For the dairy sites, H2S, NH3, acetic acid, propanoic acid, 2-methyl propanoic, and pentanoic acids were observed to be the compounds with the most significant effect on sensory odor. For the swine sites, in addition to these gases, higher molecular weight compounds such as phenol, 4-methyl phenol, 4-ethyl phenol, and 1H-indole were also observed to be significant predictors of sensory odor. When all VOCs were excluded from the model, significant correlations between odor and H2S and NH3 concentrations were still observed. Although these coefficients of determination were lower when only H2S and NH3 were used, they can be used to predict odor variability by up to 83% when VOC data are unavailable.
机译:这项研究对国家空气排放监测研究(NAEMS)进行了为期一年的全面测量,以对五头猪和四头奶牛场的气味排放进行全面测量。测量包括使用动态强制选择嗅觉法进行的标准人体感官测量以及使用气相色谱-质谱法对有味化合物进行化学分析。在本文中,研究了气味和气体浓度(包括H2S,NH3和VOCs在内的总共20种化合物)之间的多线性回归。还测试了气味和气体排放速率之间的回归。已经发现,应该使用气体浓度而不是排放率来建立多线性回归模型。对于乳制品场址,H2S,NH3,乙酸,丙酸,2-甲基丙酸和戊酸是对感官气味影响最大的化合物。对于猪的部位,除了这些气体外,还发现较高分子量的化合物(例如苯酚,4-甲基苯酚,4-乙基苯酚和1H-吲哚)是感觉气味的重要预测因子。当从模型中排除所有VOC时,仍观察到气味与H2S和NH3浓度之间的显着相关性。尽管仅使用H2S和NH3时这些测定系数较低,但当无法获得VOC数据时,它们可用于预测高达83%的气味变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号