Department of Mechanics and Design, Kookmin University, Seoul 02707, South Korea.
School of Mechanical Engineering, Kookmin University, Seoul 02707, South Korea.
J Hazard Mater. 2020 Jun 15;392:122145. doi: 10.1016/j.jhazmat.2020.122145. Epub 2020 Feb 7.
Analysis of volatile organic compounds (VOCs) is essential for on-site environmental monitoring and toxic chemicals detection. However, quantitatively detecting VOC gases is difficult because of their low gas concentration (<100 ppb), and preconcentration is necessary to overcome the detection limitations of various gas sensors. Many studies on micro preconcentrators (μ-PC) have been reported, however, these devices suffer from high desorption temperatures and significant pressure drops, which degrade sensing ability and increase operating costs, respectively. Due to these disadvantages, such devices are not yet commercially available. In this study, a μ-PC was developed using metal organic framework embedded metal foam (MOFM) as an adsorbent. The preconcentration performance of the μ-PC was evaluated based on several key parameters, such as desorption temperature, adsorption time, and initial sample concentration. In addition, the MOFM and commercial adsorbents were each packed in the same μ-PC chip, respectively, to compare their preconcentration and pressure drop performances. The MOFM-adsorbent-packed μ-PC demonstrated the preconcentration factors were 2.6 and 4 times higher, and the pressure drops were 4 and 3 times lower than those of the commercial adsorbents under the same conditions owing to the high specific surface area and the efficient flow distribution of the MOFM adsorbent.
分析挥发性有机化合物 (VOCs) 对于现场环境监测和有毒化学物质检测至关重要。然而,由于其气体浓度低(<100 ppb),定量检测 VOC 气体具有一定难度,因此需要预浓缩来克服各种气体传感器的检测限制。已经有许多关于微预浓缩器 (μ-PC) 的研究,然而,这些设备存在解吸温度高和压降大的问题,分别降低了传感能力和增加了运行成本。由于这些缺点,此类设备尚未商业化。在本研究中,使用金属有机骨架嵌入金属泡沫 (MOFM) 作为吸附剂开发了一种 μ-PC。根据解吸温度、吸附时间和初始样品浓度等几个关键参数来评估 μ-PC 的预浓缩性能。此外,将 MOFM 和商业吸附剂分别装入相同的 μ-PC 芯片中,以比较它们的预浓缩和压降性能。由于 MOFM 吸附剂具有高比表面积和高效的流量分布,因此 MOFM-吸附剂填充的 μ-PC 在相同条件下的浓缩因子分别提高了 2.6 倍和 4 倍,压降分别降低了 4 倍和 3 倍。