Department of Environmental Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon, 22212, Republic of Korea.
Department of Environmental Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon, 22212, Republic of Korea.
J Environ Manage. 2019 Apr 15;236:75-80. doi: 10.1016/j.jenvman.2018.12.010. Epub 2019 Feb 1.
Particulate matter (PM) from cooking is considered one of the most harmful indoor air pollutants causing numerous adverse health effects, and it is essential to comprehend the characteristics of the particles generated from cooking to prevent these problems. In this study, we investigated PM from the pan-frying of salmon using number concentration and developed emission rates as a function of time for ultrafine particles (UFPs < 100 nm) and accumulation mode particles (AMPs 0.1-1 μm). The newly defined emission rates vary significantly with time and are very different from the conventionally determined rates that do not consider the variation of particle concentration with time. The emission rate of UFPs decreased over time after a sharp rise, whereas that of AMPs continued to increase, resulting in a change in the proportions of UFPs and AMPs in the total PM from 93 to 7% to 72 and 28%, respectively. Particle-particle interactions such as coagulation and coalescence were observed between primary particles via high resolution transmission electron microscopy (HR-TEM), which is a plausible reason for the decreasing emission rate of UFPs with time. The emission rate as a function of time can serve as a tool to estimate PM from cooking, as well as to monitor the change trends through phenomena such as agglomeration.
烹饪产生的颗粒物(PM)被认为是最有害的室内空气污染物之一,会对健康造成诸多不良影响,因此了解烹饪过程中产生的颗粒物的特性对于预防这些问题至关重要。在本研究中,我们通过数量浓度研究了煎三文鱼产生的 PM,建立了超细颗粒物(UFPs<100nm)和积聚模态颗粒物(AMPs 0.1-1μm)的时间相关排放率。新定义的排放率随时间变化显著,与不考虑颗粒物浓度随时间变化的传统排放率有很大不同。UFPs 的排放率在急剧上升后随时间逐渐下降,而 AMPs 的排放率持续增加,导致总 PM 中 UFPs 和 AMPs 的比例分别从 93%和 7%变化为 72%和 28%。通过高分辨率透射电子显微镜(HR-TEM)观察到初级颗粒物之间发生了粒子-粒子相互作用,如凝聚和聚结,这可能是 UFPs 排放率随时间降低的原因。时间相关的排放率可以作为估算烹饪 PM 的工具,并且可以通过团聚等现象来监测其变化趋势。