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Highly Efficient Electronic Sensitization of Non-oxidized Graphene Flakes on Controlled Pore-loaded WO3 Nanofibers for Selective Detection of H2S Molecules

机译:受控孔加载WO3纳米纤维上非氧化石墨烯薄片的高效电子敏化用于选择性检测H2S分子

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摘要

Tailoring of semiconducting metal oxide nanostructures, which possess controlled pore size and concentration, is of great value to accurately detect various volatile organic compounds in exhaled breath, which act as potential biomarkers for many health conditions. In this work, we have developed a very simple and robust route for controlling both the size and distribution of spherical pores in electrospun WO3 nanofibers (NFs) via a sacrificial templating route using polystyrene colloids with different diameters (200 nm and 500 nm). A tentacle-like structure with randomly distributed pores on the surface of electrospun WO3 NFs were achieved, which exhibited improved surface area as well as porosity. Porous WO3 NFs with enhanced surface area exhibited high gas response (Rair/Rgas = 43.1 at 5 ppm) towards small and light H2S molecules. In contrast, porous WO3 NFs with maximized pore diameter showed a high response (Rair/Rgas = 2.8 at 5 ppm) towards large and heavy acetone molecules. Further enhanced sensing performance (Rair/Rgas = 65.6 at 5 ppm H2S) was achieved by functionalizing porous WO3 NFs with 0.1 wt% non-oxidized graphene (NOGR) flakes by forming a Schottky barrier (ΔΦ = 0.11) at the junction between the WO3 NFs (Φ = 4.56 eV) and NOGR flakes (Φ = 4.67 eV), which showed high potential for the diagnosis of halitosis.
机译:定制具有受控的孔径和浓度的半导体金属氧化物纳米结构,对于准确检测呼出气中的各种挥发性有机化合物具有重要价值,而这些有机化合物可作为许多健康状况的潜在生物标记。在这项工作中,我们已经开发了一种非常简单而可靠的途径,通过使用不同直径(200 nm和500 nm)的聚苯乙烯胶体的牺牲模板化方法来控制电纺WO3纳米纤维(NFs)中球形孔的大小和分布。获得了一种在电纺WO3 NFs表面具有随机分布孔的触手状结构,其表面积和孔隙率均得到改善。表面积增大的多孔WO3 NFs对较小和较轻的H2S分子具有较高的气体响应(Rair / Rgas = 43.1 at 5 ppm)。相反,具有最大孔径的多孔WO3 NF对大而重的丙酮分子显示出高响应(Rair / Rgas = 2.8 at 5µppm)。通过在WO3之间的连接处形成肖特基势垒(ΔΦ= 0.11),用0.1%wt%的非氧化石墨烯(NOGR)薄片对多孔WO3 NFs进行官能化处理,可以进一步提高感测性能(在5airppm H2S下,Rair / Rgas = 65.6)。 NFs(Φ= 4.56 eV)和NOGR薄片(Φ= 4.67 eV),在口臭的诊断中显示出很高的潜力。

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