Real-time bioaerosol detecting via combination of cyclone based collecting system and SiNW biosensor

Gunhoo Woo, Do Hoon Lee, B. Lee, Taesung Kim
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Abstract

The recent outbreak of coronavirus has raised people’s awareness of respiratory diseases by creating unprecedentedly high infection rates and deaths. Accordingly, the importance of indoor air quality management and the need for regulations have emerged, and various indoor air quality management activities such as ventilation and mask wearing have been carried out. However, unlike these efforts, real-time analysis of internal airborne bioaerosols still needs a lot of improvement. The naturally very low concentration of bioaerosols makes them unsuitable for existing biosensor research in development, which requires highly concentrated liquid samples. Therefore, it is necessary to collect high concentration of bioaerosol with liquid form in real time. In this study, by utilizing cyclone sampler, continuous sampling obtaining highly concentrated bioaerosol sample can be achieved rather than the existing discontinuous impactor method, and a study was conducted to implement real-time analysis based on silicon nanowire biosensor. Structural optimization was performed based on computational fluid dynamics analysis of the air flow inside the bioaerosol sampler, and the performance was investigated using Aspergillus niger fungus and standard particles, which show a low cut-off size of 0.5 um. Finally, possibility of real-time analysis was confirmed through continuous collection test. The proposed technology is expected to make a significant contribution to the systematic management of indoor air quality management and the prevention of respiratory diseases through linkage with internet of things technology.
基于旋风收集系统和SiNW生物传感器的实时生物气溶胶检测
最近新冠肺炎疫情的爆发,导致了前所未有的高感染率和死亡率,提高了人们对呼吸道疾病的认识。因此,室内空气质量管理的重要性和法规的必要性已经显现,并开展了各种室内空气质量管理活动,如通风和戴口罩。然而,与这些努力不同的是,对内部空气传播的生物气溶胶的实时分析仍然需要很多改进。生物气溶胶的天然浓度非常低,这使得它们不适合目前正在开发的生物传感器研究,因为生物传感器需要高浓度的液体样品。因此,对高浓度液态生物气溶胶进行实时采集是十分必要的。本研究利用旋风采样器代替现有的间断冲击器方法,实现了对高浓度生物气溶胶样品的连续采样,并对基于硅纳米线生物传感器的实时分析进行了研究。基于计算流体动力学分析对生物气溶胶采样器内部气流进行了结构优化,并采用黑曲霉真菌和标准颗粒对采样器的性能进行了研究,其截止尺寸为0.5 um。最后通过连续采集试验,确认实时分析的可能性。该技术有望通过与物联网技术的联动,为室内空气质量管理的系统管理和呼吸系统疾病的预防做出重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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