Department of Physics, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Almada, Portugal.
School for International Training, World Learning Inc., Brattleboro, VT 05302, USA.
Sensors (Basel). 2022 Sep 3;22(17):6677. doi: 10.3390/s22176677.
A new theory suggests that flammable gases generated by heated vegetation, in particular the volatile organic compounds (VOC) common to Mediterranean plants, may, under certain topographic and wind conditions, accumulate in locations where, after the arrival of the ignition source, they rapidly burst into flames as explosions. Hence, there is a need for the development of a system that can monitor the development of these compounds. In this work, a sensor's array is proposed as a method for monitoring the amount of eucalyptol and α-pinene, the major VOC compounds of the Eucalyptus and Pine trees. The detection of the target compounds was assessed using the impedance spectroscopy response of thin films. Combinations of layers of polyelectrolytes, such as poly(allylamine hydrochloride) (PAH), polyethyleneimine (PEI), poly(sodium 4-sytrenesulfonate) (PSS) graphene oxide (GO), and non/functionalized multiwall nanotubes (MWCNT-COOH or MWCNT), namely, PAH/GO, PEI/PSS, PEI/GO, PAH/MWCNT, PAH/MWCNT-COOH, films, and TiO and ZnO sputtered films, were deposited onto ceramic supports coated with gold interdigitated electrodes. The results showed that concentrations of the target VOCs, within the range of 68 to 999 ppm, can be easily distinguished by analyzing the impedance spectra, particularly in the case of the ZnO- and PAH/GO-film-based sensors, which showed the best results in the detection of the target compounds. Through principal component analysis (PCA), the best set of features attained for the ZnO and PAH/GO based sensor devices revealed a linear trend of the PCA's first principal component with the concentration within the range 109 and 807 ppm. Thus, the values of sensitivity to eucalyptol and α-pinene concentrations, which were (2.2 ± 0.3) × 10 and (5.0 ± 0.7) × 10 per decade, respectively, as well as resolutions of 118 and 136 ppb, respectively, were identified.
一种新理论表明,在特定的地形和风向条件下,受热植被产生的易燃气体(特别是地中海植物中常见的挥发性有机化合物 (VOC))可能会在某些地点积聚。在点火源到达后,它们会迅速爆燃成爆炸。因此,需要开发一种能够监测这些化合物发展的系统。在这项工作中,提出了一个传感器阵列作为监测桉树脑和α-蒎烯(桉树和松树的主要 VOC 化合物)含量的方法。使用薄膜的阻抗光谱响应评估了目标化合物的检测。使用聚电解质(例如盐酸聚(烯丙胺)(PAH)、聚乙烯亚胺(PEI)、聚(4-苯乙烯磺酸钠)(PSS)氧化石墨烯(GO)和非/功能化多壁碳纳米管(MWCNT-COOH 或 MWCNT)的层组合,即 PAH/GO、PEI/PSS、PEI/GO、PAH/MWCNT、PAH/MWCNT-COOH、薄膜以及 TiO 和 ZnO 溅射薄膜,沉积在涂有金叉指电极的陶瓷载体上。结果表明,通过分析阻抗谱,可以轻松区分目标 VOC 浓度在 68 至 999 ppm 范围内的情况,特别是在基于 ZnO 和 PAH/GO 薄膜的传感器的情况下,它们在检测目标化合物方面表现出最佳结果。通过主成分分析(PCA),对于基于 ZnO 和 PAH/GO 的传感器器件获得的最佳特征集,PCA 的第一个主成分与浓度在 109 和 807 ppm 范围内呈线性趋势。因此,分别确定了对桉树脑和α-蒎烯浓度的灵敏度值(分别为 (2.2 ± 0.3) × 10 和 (5.0 ± 0.7) × 10 每十年)以及分辨率分别为 118 和 136 ppb。