Akamatsu Toshio Itoh Takafumi, Tsuruta Akihiro, Shin Woosuck
National Institute of Advanced Industrial Science and Technology (AIST), Shimo-shidami, Moriyama-ku, Nagoya 463-8560, Japan.
Sensors (Basel). 2017 Jul 19;17(7):1662. doi: 10.3390/s17071662.
We investigated selective detection of the target volatile organic compounds (VOCs) nonanal, -decane, and acetoin for lung cancer-related VOCs, and acetone and methyl -butyl ketone for diabetes-related VOCs, in humid air with simulated VOC contamination (total concentration: 300 μg/m³). We used six "grain boundary-response type" sensors, including four commercially available sensors (TGS 2600, 2610, 2610, and 2620) and two Pt, Pd, and Au-loaded SnO₂ sensors (Pt, Pd, Au/SnO₂), and two "bulk-response type" sensors, including Zr-doped CeO₂ (CeZr10), i.e., eight sensors in total. We then analyzed their sensor signals using principal component analysis (PCA). Although the six "grain boundary-response type" sensors were found to be insufficient for selective detection of the target gases in humid air, the addition of two "bulk-response type" sensors improved the selectivity, even with simulated VOC contamination. To further improve the discrimination, we selected appropriate sensors from the eight sensors based on the PCA results. The selectivity to each target gas was maintained and was not affected by contamination.
我们研究了在模拟挥发性有机化合物（VOC）污染的潮湿空气中（总浓度：300μg/m³），对肺癌相关VOC壬醛、癸烷和3-羟基丁酮，以及糖尿病相关VOC丙酮和甲基丁基酮的目标挥发性有机化合物进行选择性检测。我们使用了六个“晶界响应型”传感器，包括四个市售传感器（TGS 2600、2610、2610和2620）以及两个负载铂、钯和金的二氧化锡传感器（Pt、Pd、Au/SnO₂），还有两个“体响应型”传感器，包括锆掺杂的二氧化铈（CeZr10），总共八个传感器。然后我们使用主成分分析（PCA）来分析它们的传感器信号。尽管发现六个“晶界响应型”传感器不足以在潮湿空气中对目标气体进行选择性检测，但添加两个“体响应型”传感器提高了选择性，即使在存在模拟VOC污染的情况下也是如此。为了进一步提高辨别能力，我们根据PCA结果从八个传感器中选择了合适的传感器。对每种目标气体的选择性得以保持，且不受污染影响。
