Characterizing the partitioning behavior of formaldehyde, benzene and toluene on indoor fabrics: Effects of temperature and humidity.
Characterizing the partitioning behavior of formaldehyde, benzene and toluene on indoor fabrics: Effects of temperature and humidity.
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DOI：
10.1016/j.jhazmat.2021.125827
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发表时间：
2021-04
影响因子：
13.6
通讯作者：
Xiaojun Zhou;X. Dong;Ruixue Ma;Xinke Wang;Fenghao Wang
中科院分区：
文献类型：
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作者：
Xiaojun Zhou;X. Dong;Ruixue Ma;Xinke Wang;Fenghao Wang
织物广泛分布在住宅建筑中。由于其高度多孔的结构和大的比表面积，它们对挥发性有机化合物（VOC）具有很强的吸附性能。它们解吸引起的二次源效应会加剧室内空气污染，延长污染周期。分配系数是VOC传质的特征参数，对环境参数的变化很敏感。但由于织物与其他室内多孔建筑材料的固有差异，建筑材料VOC传质参数的相关研究结论无法应用。此外，温度和湿度对VOCs在织物上的分配行为的影响很少被定量分析。在分析织物的多孔结构及相应的传质过程的基础上，提出了一种新的温湿度耦合作用下织物分配系数的预测模型。通过吸湿性测试和环境室测试对三种室内典型织物和主要水溶性VOC（甲醛）和水不溶性VOC（苯、甲苯）进行了实验检验。实验结果证明了所提出的模型在各种条件下的可靠性。
Fabrics are widely distributed in residential buildings. Due to their highly porous structures and large specific surface areas, they have strong adsorption properties for volatile organic compounds (VOCs). The secondary source effect that is induced by their desorption can aggravate indoor air pollution and prolong the pollution period. The partition coefficient, which is a characteristic parameter of VOC mass transfer, is sensitive to variations in environmental parameters. However, due to the inherent differences between fabrics and other indoor porous building materials, the relevant research conclusions on the VOC mass transfer parameters of building materials cannot be applied. In addition, the effects of temperature and humidity on the partitioning behavior of VOCs on fabrics have rarely been quantitatively analyzed. Based on an analysis of the porous structure and corresponding mass transfer process of fabrics, a novel prediction model of the fabric partition coefficient under the coupling effect of temperature and humidity is proposed. Three types of indoor typical fabrics and primary water-soluble VOC (formaldehyde) and water-insoluble VOC (benzene, toluene) are examined experimentally via hygroscopicity tests and environmental chamber tests. The experimental results demonstrate the reliability of the proposed model for a variety of conditions.