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Characterization of odor released during handling of swine slurry: Part I. Relationship between odorants and perceived odor concentrations

机译:猪粪处理过程中释放的气味的特征:第一部分。气味与感知的气味浓度之间的关系

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摘要

Odor emission from livestock production systems is a major nuisance in many rural areas. This study aimed at determining the major airborne chemical compounds responsible for the unpleasant odor perceived in swine facilities during slurry handling, and at proposing predictive models of odor concentration (OC) based on the concentrations of specific odorants in the air. A multivariate data analysis strategy involving principal components analysis and multiple linear regressions was implemented to analyze the relationships between concentration of 35 gases (measured by GC/MS or gas detection tubes), and the overall OC perceived by sensory analysis. The study compiled data on the concentration of odor and odorants, measured in the headspace of 24 unstored and stored slurry samples collected from three different types of production units on 8 commercial swine farms. Among all the measured constituents, OC was found to have the highest correlation with the sulfur containing compounds (i.e. hydrogen sulfide, dimethylsulfide, dimethyldisulfide, dimethyltrisulfide). The concentration of hydrogen sulfide accounted for 68% of the variation in OC above the stirred slurry samples. The highest concentrations of volatile organic compounds were observed for phenols and indoles, which made a significant contribution to the overall OC when the slurry was fresh. The contribution of ammonia to the OC was only significant in the absence of hydrogen sulfide. The precision of predictive models of OC based on the concentration of specific odorants in the air was satisfactory (R~2 between 0.66 and 0.89). Hence, this study suggests that monitoring of specific odor compounds released from agitated swine slurry can be used to predict the concentration of odor perceived close to the source (e.g. at storage units), allowing the assessment of odor nuisance potentials.
机译:在许多农村地区,畜牧生产系统的气味排放是一个主要的麻烦。这项研究旨在确定造成泥浆处理过程中猪场中难闻气味的主要空气传播化合物,并基于空气中特定气味的浓度提出气味浓度(OC)的预测模型。实施了包含主成分分析和多元线性回归的多元数据分析策略,以分析35种气体的浓度(通过GC / MS或气体检测管测量)与通过感觉分析感知的总OC之间的关系。这项研究汇编了关于气味和气味浓度的数据,这些数据是从8个商业猪场的三种不同类型的生产单位收集的24种未储存和储存的浆料样品的顶部空间测量的。在所有测得的成分中,发现OC与含硫化合物(即硫化氢,二甲基硫醚,二甲基二硫醚,二甲基三硫醚)的相关性最高。硫化氢的浓度占搅拌的浆料样品上方OC变化的68%。苯酚和吲哚的挥发性有机化合物浓度最高,当浆液新鲜时,它们对总OC的贡献很大。氨对OC的贡献只有在不存在硫化氢的情况下才有意义。基于空气中特定气味物质浓度的OC预测模型的精度令人满意(R〜2在0.66和0.89之间)。因此,这项研究表明,对从搅动的猪粪中释放的特定气味化合物的监测可用于预测靠近源头(例如在存储单元处)感知到的气味浓度,从而可以评估潜在的气味滋扰潜力。

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  • 来源
    《Atmospheric environment》 |2009年第18期|2997-3005|共9页
  • 作者单位

    Faculty of Engineering, University of Southern Denmark, Niels Bohrs Alle 1, 5230 Odense, Denmark;

    AgroTech A/S, Institute for Agro Technology and Food Innovation, Udkaersvej 15, DK-8200 Aarhus, Denmark;

    Department of Agroecology and Environment, Faculty of Agricultural Sciences, University of Aarhus, P.O.Box 50, DK-8830 Tjele, Denmark;

    Danish Technological Institute, Aarhus, Denmark;

    Department of Agroecology and Environment, Faculty of Agricultural Sciences, University of Aarhus, P.O.Box 50, DK-8830 Tjele, Denmark;

    Department of Animal Health, Welfare and Nutrition, Faculty of Agricultural Sciences, University of Aarhus, P.O.Box 50, DK-8830 Tjele, Denmark;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    odor; odorants; principal components analysis (PCA); slurry;

    机译:气味;气味主成分分析(PCA);泥浆;

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