Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST) , 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Applied Science Research Institute, Korea Advanced Institute of Science and Technology , 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
ACS Appl Mater Interfaces. 2017 May 31;9(21):18069-18077. doi: 10.1021/acsami.7b04657. Epub 2017 May 18.
Metal-organic framework (MOF)-derived synergistic catalysts were easily functionalized on hollow SnO nanotubes (NTs) via electrospinning and subsequent calcination. Nanoscale Pd NPs (∼2 nm) loaded Zn-based zeolite imidazole framework (Pd@ZIF-8, ∼80 nm) was used as a new catalyst-loading platform for the effective functionalization of a PdO@ZnO complex catalyst onto the thin wall of one-dimensional metal oxide NTs. The well-dispersed nanoscale PdO catalysts (3-4 nm) and multiheterojunctions (PdO/ZnO and ZnO/SnO) on hollow structures are essential for the development of high-performance gas sensors. As a result, the PdO@ZnO dual catalysts-loaded hollow SnO NTs (PdO@ZnO-SnO NTs) exhibited high acetone response (R/R = 5.06 at 400 °C @ 1 ppm), superior acetone selectivity against other interfering gases, and fast response (20 s) and recovery (64 s) time under highly humid atmosphere (95% RH). In this work, the advantages of hollow SnO NT structures with high surface area and open porosity were clearly demonstrated by the comparison to SnO nanofibers (NFs). Moreover, the sensor arrays composed of SnO NFs, SnO NTs, PdO@ZnO-SnO NFs, and PdO@ZnO-SnO NTs successfully identified the patterns of the exhaled breath of normal people and simulated diabetics by using a principal component analysis.
通过静电纺丝和随后的煅烧,很容易在中空 SnO 纳米管 (NTs) 上对金属有机框架 (MOF) 衍生的协同催化剂进行功能化。负载有纳米级 Pd NPs(∼2nm)的基于 Zn 的沸石咪唑酯骨架 (Pd@ZIF-8,∼80nm) 被用作一种新的催化剂负载平台,用于将 PdO@ZnO 复合催化剂有效功能化到一维金属氧化物 NTs 的薄壁上。在空心结构上高度分散的纳米级 PdO 催化剂 (3-4nm) 和多异质结 (PdO/ZnO 和 ZnO/SnO) 对于开发高性能气体传感器至关重要。结果,负载有 PdO@ZnO 双催化剂的中空 SnO NTs(PdO@ZnO-SnO NTs)表现出对丙酮的高响应(400°C 时 1ppm 下的 R/R = 5.06),对其他干扰气体具有优异的选择性,并且在高湿度环境(95%RH)下具有快速的响应(20s)和恢复(64s)时间。在这项工作中,通过与 SnO 纳米纤维 (NFs) 的比较,明显证明了具有高表面积和开放多孔性的中空 SnO NT 结构的优势。此外,由 SnO NFs、SnO NTs、PdO@ZnO-SnO NFs 和 PdO@ZnO-SnO NTs 组成的传感器阵列通过主成分分析成功地识别了正常人呼气和模拟糖尿病患者的呼气模式。