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Effect of exposure to O₃ , NO₂, and SO₂ on chronic obstructive pulmonary disease hospitalizations in Tabriz, Iran.暴露于臭氧、二氧化氮和二氧化硫对伊朗大不里士慢性阻塞性肺疾病住院率的影响。
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Air pollution and fuel vapour induced changes in lung functions: are fuel handlers safe?空气污染和燃料蒸汽引起的肺功能变化:燃料处理人员安全吗?
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评估市售气体传感器测量环境臭氧和二氧化氮的准确性。

Assessing the accuracy of commercially available gas sensors for the measurement of ambient ozone and nitrogen dioxide.

机构信息

a Department of Environmental Health , University of Cincinnati , Cincinnati , Ohio , USA.

b Cincinnati Children's Hospital Medical Center , Cincinnati , Ohio , USA.

出版信息

J Occup Environ Hyg. 2018 Nov;15(11):782-791. doi: 10.1080/15459624.2018.1513135.

DOI:10.1080/15459624.2018.1513135
PMID:30156975
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6324576/
Abstract

The objective of the National Institute for Occupational Safety and Health (NIOSH) accuracy criterion is to ensure that measurements from monitoring devices are within ±25% of the true concentration of the analyte with 95% certainty. To determine whether NO and O sensors meet this criterion, three commercially available units (Cairclip O/NO, Aeroqual NO, and Aeroqual O sensors) were co-located three times with validated instruments (NO chemiluminescence [NO] and photometric O analyzers [O]) at an outdoor monitoring station. As cofactors of sensor performance such as temperature (T) and relative humidity (RH) potentially influence the response of NO and O sensors, corrections for cofactors were made by using T, RH, and the sensor measurements to predict measurements made by NO and O during the first co-location period (training dataset). The developed models were tested in the merged data obtained from the second and third co-location periods (testing dataset). In the training and testing datasets, the mean NO as measured by NO was 4.6 ppb (range = 0.4-35 ppb) and 9.4 ppb (range = 1-37 ppb), respectively. The mean O in the training and testing datasets as measured by O was 38.8 ppb (range = 1-65 ppb) and 35.7 ppb (range = 1-61 ppb), respectively. None of the sensor measurements in the training dataset were within the NIOSH accuracy criterion (mean error ≥25%). After correcting for cofactors of sensor performance, the accuracy of the Cairclip O/NO and the Aeroqual O sensors considerably improved when tested with the testing dataset (mean error = -1% and 14%, respectively). However, the Aeroqual NO sensor had an error that was not within ±25%. Raw measurements from the tested sensors may be unsuitable for assessing workers' exposure to NO and O. Corrections for cofactors of Cairclip O/NO and Aeroqual O sensor performance are required for more accurate occupational exposure assessment.

摘要

美国国家职业安全与健康研究所(NIOSH)准确度标准的目的是确保监测设备的测量值在 95%置信度下,有 95%的把握在真实浓度的分析物的±25%范围内。为了确定 NO 和 O 传感器是否符合这一标准,三种市售的单元(Cairclip O/NO、Aeroqual NO 和 Aeroqual O 传感器)在户外监测站与经过验证的仪器(NO 化学发光[NO]和光度 O 分析仪[O])三次共置。由于温度(T)和相对湿度(RH)等传感器性能的影响因素可能会影响 NO 和 O 传感器的响应,因此通过使用 T、RH 和传感器测量值来对因子进行修正,以预测在第一次共置期间(训练数据集)由 NO 和 O 进行的测量。从第二次和第三次共置期间(测试数据集)获得的合并数据中测试了开发的模型。在训练和测试数据集中,NO 测量的平均 NO 分别为 4.6 ppb(范围为 0.4-35 ppb)和 9.4 ppb(范围为 1-37 ppb)。在训练和测试数据集中,O 测量的平均 O 分别为 38.8 ppb(范围为 1-65 ppb)和 35.7 ppb(范围为 1-61 ppb)。在训练数据集中,没有一个传感器测量值在 NIOSH 准确度标准范围内(平均误差≥25%)。在对传感器性能的影响因素进行修正后,当用测试数据集进行测试时,Cairclip O/NO 和 Aeroqual O 传感器的准确性大大提高(平均误差分别为-1%和 14%)。然而,Aeroqual NO 传感器的误差不在±25%范围内。测试传感器的原始测量值可能不适合评估工人接触 NO 和 O 的情况。需要对 Cairclip O/NO 和 Aeroqual O 传感器性能的影响因素进行修正,以进行更准确的职业暴露评估。