a Department of Environmental Health and Engineering , Johns Hopkins Bloomberg School of Public Health , Baltimore , Maryland.
b Department of Mechanical and Industrial Engineering , University of Iowa , Iowa City , Iowa.
J Occup Environ Hyg. 2019 Feb;16(2):179-190. doi: 10.1080/15459624.2018.1540872. Epub 2019 Mar 21.
Typical low-cost electrochemical sensors for ozone (O) are also highly responsive to nitrogen dioxide (NO). Consequently, a single sensor's response to O is indistinguishable from its response to NO. Recently, a method for quantifying O concentrations became commercially available (Alphasense Ltd., Essex, UK): collocating a pair of sensors, a typical oxidative gas sensor that responds to both O and NO (model OX-B431) and a second similar sensor that filters O and responds only to NO (model NO2-B43F). By pairing the two sensors, O concentrations can be calculated. We calibrated samples of three NO2-B43F sensors and three OX-B431 sensors with NO and O exclusively and conducted mixture experiments over a range of 0-1.0 ppm NO and 0-125 ppb O to evaluate the ability of the paired sensors to quantify NO and O concentrations in mixture. Although the slopes of the response among our samples of three sensors of each type varied by as much as 37%, the individual response of the NO2-B43F sensors to NO and OX-B431 sensors to NO and O were highly linear over the concentrations studied (R ≥ 0.99). The NO2-B43F sensors responded minimally to O gas with statistically non-significant slopes of response. In mixtures of NO and O, quantification of NO was generally accurate with overestimates up to 29%, compared to O, which was generally underestimated by as much as 187%. We observed changes in sensor baseline over 4 days of experiments equivalent to 34 ppb O, prompting an alternate method of calculating concentrations by baseline-correcting sensor signal. The baseline-correction method resulted in underestimates of NO up to 44% and decreases in the underestimation of O up to 107% for O. Both methods for calculating gas concentrations progressively underestimated O concentrations as the ratio of NO signal to O signal increased. Our results suggest that paired NO2-B43F and OX-B431 sensors permit quantification of NO and O in mixture, but that O concentration estimates are less accurate and precise than those for NO.
典型的低成本电化学臭氧(O)传感器也对二氧化氮(NO)高度敏感。因此,单个传感器对 O 的响应与对 NO 的响应无法区分。最近,一种用于定量 O 浓度的方法已在商业上可用(英国埃塞克斯的 Alphasense Ltd.):并列放置一对传感器,一个对 O 和 NO 都有反应的典型氧化气体传感器(型号 OX-B431)和第二个类似的传感器,该传感器过滤 O 并仅对 NO 有反应(型号 NO2-B43F)。通过配对这两个传感器,可以计算 O 浓度。我们用 NO 和 O 对三个 NO2-B43F 传感器和三个 OX-B431 传感器进行了校准,并在 0-1.0 ppm 的 NO 和 0-125 ppb 的 O 范围内进行了混合实验,以评估配对传感器在混合物中定量 NO 和 O 浓度的能力。尽管我们的三种传感器样本的响应斜率之间的差异高达 37%,但每个类型的三个传感器的个体响应对 NO 和 O 的响应在研究的浓度范围内都是高度线性的(R≥0.99)。NO2-B43F 传感器对 O 气体的响应极小,响应斜率在统计学上无显著差异。在 NO 和 O 的混合物中,与 O 相比,NO 的定量通常是准确的,最大误差为 29%,而 O 的定量通常被低估了 187%。我们观察到在 4 天的实验中,传感器基线变化相当于 34 ppb O,这促使我们采用了一种通过基线校正传感器信号来计算浓度的替代方法。基线校正方法导致对 NO 的低估最大可达 44%,对 O 的低估最大可达 107%。这两种计算气体浓度的方法都随着 NO 信号与 O 信号的比值增加而逐渐低估 O 浓度。我们的结果表明,配对的 NO2-B43F 和 OX-B431 传感器可以在混合物中定量 NO 和 O,但 O 浓度的估计不如 NO 准确和精确。