Lee Seongwoo, Park Sanghwan, Lim Seongyeop, Lee Cheongha, Lee Chang Young
Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
Nanomaterials (Basel). 2023 Jul 28;13(15):2199. doi: 10.3390/nano13152199.
Toxic industrial chemicals (TICs), when accidentally released into the workplace or environment, often form a gaseous mixture that complicates detection and mitigation measures. However, most of the existing gas sensors are unsuitable for detecting such mixtures. In this study, we demonstrated the detection and identification of gaseous mixtures of TICs using a chemiresistor array of single-walled carbon nanotubes (SWCNTs). The array consists of three SWCNT chemiresistors coated with different molecular/ionic species, achieving a limit of detection (LOD) of 2.2 ppb for ammonia (NH), 820 ppb for sulfur dioxide (SO), and 2.4 ppm for ethylene oxide (EtO). By fitting the concentration-dependent sensor responses to an adsorption isotherm, we extracted parameters that characterize each analyte-coating combination, including the proportionality and equilibrium constants for adsorption. Principal component analysis confirmed that the sensor array detected and identified mixtures of two TIC gases: NH/SO, NH/EtO, and SO/EtO. Exposing the sensor array to three TIC mixtures with various EtO/SO ratios at a fixed NH concentration showed an excellent correlation between the sensor response and the mixture composition. Additionally, we proposed concentration ranges within which the sensor array can effectively detect the gaseous mixtures. Being highly sensitive and capable of analyzing both individual and mixed TICs, our gas sensor array has great potential for monitoring the safety and environmental effects of industrial chemical processes.
有毒工业化学品(TICs)意外释放到工作场所或环境中时,常常会形成气体混合物,这使得检测和缓解措施变得复杂。然而,现有的大多数气体传感器都不适用于检测此类混合物。在本研究中,我们展示了使用单壁碳纳米管(SWCNTs)化学电阻阵列对TICs气体混合物进行检测和识别。该阵列由三个涂覆有不同分子/离子物种的SWCNT化学电阻组成,对氨气(NH₃)的检测限(LOD)为2.2 ppb,对二氧化硫(SO₂)为820 ppb,对环氧乙烷(EtO)为2.4 ppm。通过将浓度依赖性传感器响应拟合到吸附等温线,我们提取了表征每种分析物 - 涂层组合的参数,包括吸附的比例常数和平衡常数。主成分分析证实该传感器阵列能够检测和识别两种TIC气体的混合物:NH₃/SO₂、NH₃/EtO和SO₂/EtO。在固定NH₃浓度下,将传感器阵列暴露于具有不同EtO/SO₂比例的三种TIC混合物中,结果表明传感器响应与混合物组成之间具有良好的相关性。此外,我们提出了传感器阵列能够有效检测气体混合物的浓度范围。我们的气体传感器阵列具有高灵敏度,能够分析单个和混合的TICs,在监测工业化学过程的安全性和环境影响方面具有巨大潜力。