State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
Environ Sci Technol. 2022 Jun 21;56(12):8541-8551. doi: 10.1021/acs.est.2c01778. Epub 2022 May 13.
Here, we investigated the use of breath-borne volatile organic compounds (VOCs) for rapid monitoring of air pollution health effects on humans. Forty-seven healthy college students were recruited, and their exhaled breath samples ( = 235) were collected and analyzed for VOCs before, on, and after two separate haze pollution episodes using gas chromatography-ion mobility spectrometry (GC-IMS). Using a paired t-test and machine learning model (Gradient Boosting Machine, GBM), six exhaled VOC species including propanol and isoprene were revealed to differ significantly among pre-, on-, and post-exposure in both haze episodes, while none was found between clean control days. The GBM model was shown capable of differentiating between pre- and on-exposure to haze pollution with a precision of 90-100% for both haze episodes. However, poor performance was detected for the same model between two different clean days. In addition to gender and particular haze occurrence influences, correlation analysis revealed that NH, NO, acetic acid, mesylate, CO, NO, PM, and O played important roles in the changes in breath-borne VOC fingerprints following haze air pollution exposure. This work has demonstrated direct evidence of human health impacts of haze pollution while identifying potential breath-borne VOC biomarkers such as propanol and isoprene for haze air pollution exposure.
在这里,我们研究了利用呼吸挥发性有机化合物(VOC)来快速监测空气污染对人类健康的影响。招募了 47 名健康的大学生,在两次单独的雾霾污染事件前后,使用气相色谱-离子迁移谱(GC-IMS)收集并分析了他们的呼气样本(共 235 个)。通过配对 t 检验和机器学习模型(梯度提升机,GBM),发现有六种呼出 VOC 物种,包括丙醇和异戊二烯,在两次雾霾事件中,在暴露前、暴露中和暴露后有显著差异,而在清洁对照日之间则没有发现差异。GBM 模型显示,它能够区分两次雾霾污染事件中暴露前和暴露时的差异,准确率均为 90-100%。然而,对于两个不同的清洁日,同样的模型却检测到较差的性能。除了性别和特定雾霾发生的影响外,相关分析表明,NH3、NO、乙酸、甲磺酸、CO、NO2、PM 和 O 在雾霾污染暴露后,呼吸VOC 特征指纹的变化中起着重要作用。这项工作为雾霾污染对人类健康的影响提供了直接证据,同时也确定了丙醇和异戊二烯等潜在的呼吸VOC 生物标志物,可用于雾霾空气污染暴露的检测。