de França Souza Pedro Augusto, Neto José Lozano Araújo, Cardoso Arnaldo Alves
Department of Analytical Chemistry, São Paulo State University, UNESP, Araraquara, SP CEP 14800-970 Brazil.
Water Air Soil Pollut. 2021;232(2):72. doi: 10.1007/s11270-021-05031-4. Epub 2021 Feb 12.
The lockdown to prevent the coronavirus spread resulted in an immediate reduction in gas concentration worldwide. This fact shows the importance of nitrogen dioxide as a pollutant gas directly associated with human activities. For indoor exposure, NO has been associated with effects on the respiratory system. In outdoor environments, ozone reaches a maximum after NO peaks, and acid rain arises with NO oxidation to forms nitric acid. Therefore, monitoring the NO concentration in atmospheric air can help prevent respiratory diseases and lower the concentration of other atmospheric pollutants. The experiment proposed in this article uses a low-cost passive sampler for the NO collection. An innovative and straightforward technique to determine the gas concentration through a gel-dyed formation and based on digital image analysis RGB colors channel are split by the software ImageJ. Results of digital image analysis and spectrophotometry were statistically agreed at a 95% confidence level. The advantages of the technique include low cost, the ready availability of components, ease of use, and sensitivity. The achievable resolution of nitrogen dioxide concentrations is 9 ppb for 24-h sampling.
The online version contains supplementary material available at 10.1007/s11270-021-05031-4.
为防止新冠病毒传播而实施的封锁措施导致全球气体浓度立即下降。这一事实表明二氧化氮作为一种与人类活动直接相关的污染气体的重要性。对于室内暴露，一氧化氮已被证实与对呼吸系统的影响有关。在室外环境中，一氧化氮达到峰值后臭氧浓度达到最高，一氧化氮氧化形成硝酸会导致酸雨。因此，监测大气中的一氧化氮浓度有助于预防呼吸道疾病并降低其他大气污染物的浓度。本文提出的实验使用低成本被动采样器来收集一氧化氮。一种创新且简单的技术，通过凝胶染色形成并基于数字图像分析，利用软件ImageJ将RGB颜色通道分离来测定气体浓度。数字图像分析和分光光度法的结果在95%置信水平上具有统计学一致性。该技术的优点包括成本低、组件易于获取、使用方便以及灵敏度高。对于24小时采样，二氧化氮浓度的可实现分辨率为9 ppb。
在线版本包含可在10.1007/s11270-021-05031-4获取的补充材料。
