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预测大学生使用个人护理产品产生的室内环状挥发性甲基硅氧烷排放量。

Predicting Indoor Emissions of Cyclic Volatile Methylsiloxanes from the Use of Personal Care Products by University Students.

机构信息

School of Mechanical Engineering , Beijing Institute of Technology , Beijing 100081 , China.

Department of Environmental Science, Policy and Management , University of California , Berkeley , California 94720 , United States.

出版信息

Environ Sci Technol. 2018 Dec 18;52(24):14208-14215. doi: 10.1021/acs.est.8b00443. Epub 2018 Jun 21.

DOI:10.1021/acs.est.8b00443
PMID:29883108
Abstract

Characterization of indoor emissions of cyclic volatile methylsiloxanes (cVMS) due to the use of personal care products is important for elucidating indoor air composition and associated health risks. This manuscript describes a mass transfer model to characterize the emission behaviors of decamethylcyclopentasiloxane (D5, the most abundant indoor cVMS) from skin lipids. A C-history method is introduced to determine the key parameters in the model, i.e., the initial concentration and diffusion coefficient of D5 inside the skin lipids. Experiments were conducted in a university classroom to examine the D5 emission behaviors by using a proton-transfer-reaction time-of-flight mass spectrometer (PTR-TOF-MS). Data from the first class session of two typical days was applied to obtain the key parameters, which were subsequently used for predicting D5 concentrations in other class sessions. Good agreement between model predictions and experiments demonstrates the effectiveness of the model and parameter determination method. With the model, we found that the reuse of personal care products has a significant impact on the D5 emissions. In addition, the time-dependent emission rate and remaining amount of D5 inside the skin can also be calculated. These results indicate a fast decay pattern during the initial emission period, which is consistent with prior experimental studies.

摘要

描述了一种用于表征皮肤脂质中环戊硅氧烷(D5,室内最丰富的环状挥发性甲基硅氧烷(cVMS))排放行为的传质模型。引入了 C 历史法来确定模型中的关键参数,即皮肤脂质中 D5 的初始浓度和扩散系数。在大学教室中使用质子转移反应飞行时间质谱仪(PTR-TOF-MS)进行实验,以研究 D5 的排放行为。应用两天中第一节课的数据来获得关键参数,随后将其用于预测其他课程中的 D5 浓度。模型预测与实验之间的良好一致性证明了模型和参数确定方法的有效性。通过该模型,我们发现个人护理产品的重复使用对 D5 的排放有重大影响。此外,还可以计算皮肤内 D5 的时变排放率和剩余量。这些结果表明,在初始排放期间存在快速衰减模式,这与先前的实验研究一致。

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