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在室内环境中,通过萜烯类化合物臭氧化作用的不同产率来预测二次有机气溶胶的形成。

Predicting secondary organic aerosol formation from terpenoid ozonolysis with varying yields in indoor environments.

机构信息

Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, PA, USA.

出版信息

Indoor Air. 2012 Oct;22(5):415-26. doi: 10.1111/j.1600-0668.2012.00776.x. Epub 2012 Apr 4.

Abstract

UNLABELLED

The ozonolysis of terpenoids generates secondary organic aerosol (SOA) indoors. Models of varying complexity have been used to predict indoor SOA formation, and many models use the SOA yield, which is the ratio of the mass of produced SOA and the mass of consumed reactive organic gas. For indoor simulations, the SOA yield has been assumed as a constant, even though it depends on the concentration of organic particles in the air, including any formed SOA. We developed two indoor SOA formation models for single terpenoid ozonolysis, with yields that vary with the organic particle concentration. The models have their own strengths and were in agreement with published experiments for d-limonene ozonolysis. Monte Carlo analyses were performed, which simulated different residential and office environments to estimate ranges of SOA concentrations and yields for d-limonene and α-pinene ozonolysis occurring indoors. Results indicate that yields are highly variable indoors and are most influenced by background organic particles for steady-state formation and indoor ozone concentration for transient peak formation. Additionally, a review of ozonolysis yields for indoor-relevant terpenoids in the literature revealed much uncertainty in their values at low concentrations typical of indoors.

PRACTICAL IMPLICATIONS

The results in this study suggest important factors that govern indoor secondary organic aerosol (SOA) formation and yields, in typical residential and office spaces. This knowledge informs the development and comparison of control strategies to reduce indoor-generated SOA. The ranges of SOA concentrations predicted indoors allow the quantification of the effects of sorptive interactions of semi-volatile organic compounds or reactive oxygen species with SOA, filter loading owing to SOA formation, and impacts of SOA on health, if links are established.

摘要

未加说明

萜烯的臭氧化作用会在室内产生次生有机气溶胶 (SOA)。人们已经使用了各种复杂程度的模型来预测室内 SOA 的形成,其中许多模型都使用 SOA 产率,即产生的 SOA 质量与消耗的反应性有机气体质量之比。对于室内模拟,SOA 产率被假定为常数,即使它取决于空气中有机颗粒的浓度,包括已形成的 SOA。我们开发了两种用于单萜烯臭氧化的室内 SOA 形成模型,其产率随有机颗粒浓度而变化。这些模型各有优势,并且与发表的 d-苎烯臭氧化实验结果一致。进行了蒙特卡罗分析,模拟了不同的住宅和办公环境,以估算室内发生的 d-苎烯和α-蒎烯臭氧化的 SOA 浓度和产率范围。结果表明,产率在室内变化很大,对于稳态形成,最受背景有机颗粒影响,对于瞬时峰值形成,最受室内臭氧浓度影响。此外,对文献中与室内相关的萜烯的臭氧化产率进行了综述,发现其在室内典型浓度下的值存在很大的不确定性。

实际意义

本研究的结果表明了在典型的住宅和办公空间中控制室内次生有机气溶胶 (SOA) 形成和产率的重要因素。这一知识为制定和比较控制策略以减少室内产生的 SOA 提供了信息。室内预测的 SOA 浓度范围允许量化半挥发性有机化合物或活性氧与 SOA 的吸附相互作用、SOA 形成引起的过滤器负荷以及 SOA 对健康的影响,如果建立了联系。

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