Rational Design of Highly Porous SnO2 Nanotubes Functionalized with Biomimetic Nanocatalysts for Direct Observation of Simulated Diabetes

Rational Design of Highly Porous SnO2 Nanotubes Functionalized with Biomimetic Nanocatalysts for Direct Observation of Simulated Diabetes
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DOI:
10.1002/adfm.201600797
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发表时间:
2016-07-12
影响因子:
19
通讯作者:
Kim, Il-Doo
Kim, Il-Doo
中科院分区:
材料科学1区
文献类型:
--
作者:
Jang, Ji-Soo;Choi, Seon-Jin;Kim, Il-Doo

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一维金属氧化物纳米管(NT)结构由于其高的表面积和独特的物理化学性质,在化学传感器方面的应用引起了广泛的关注。此外,双峰孔,即,在NT的壳上形成的中孔和大孔可以进一步促进气体渗透到传感层中,从而大大改善传感性能。然而,由于合成方法的限制,具有双峰孔分布的薄壁碳纳米管很少被制备。在这里,Ostwald成熟驱动的静电纺丝结合牺牲模板路线使用聚苯乙烯(PS)胶体和生物启发的蛋白质首次提出生产双峰孔和负载催化剂的薄壁SnO 2纳米管。均匀的催化剂负载在多孔SnO 2 NTs上是通过包含催化剂的蛋白质笼实现的,并且PS胶体和蛋白质壳在电纺纤维的煅烧期间热分解,导致在NTs上产生双尺寸的孔。Pt催化剂修饰的多孔SnO 2 NTs(Pt-PS_SnO 2 NTs)显示出异常高的丙酮气体响应、对其他干扰气体的上级选择性以及对模拟糖尿病丙酮分子的非常低的检测限(10 ppb)。更重要的是,与开发的多孔SnO 2 NT组装的传感器阵列能够直接区分模拟糖尿病呼吸和健康人的正常呼吸。
1D metal-oxide nanotube (NT) structures have attracted considerable attention for applications in chemical sensors due to their high surface area and unique chemical and physical properties. Moreover, bimodal pores, i.e., meso-and macro-sized pores, which are formed on the shell of NTs, can further facilitate gas penetration into the sensing layers, leading to much improved sensing properties. However, thin-walled NTs with bimodal pore distribution have been rarely fabricated due to the limitations of synthetic methods. Here, Ostwald ripening-driven electrospinning combined with sacrificial templating route using polystyrene (PS) colloid and bioinspired protein is firstly proposed for producing both bi-modal pores and catalyst-loaded thin-walled SnO2 NTs. Homogeneous catalyst loading on porous SnO2 NTs is achieved by the protein cage that contains catalysts and PS colloids and protein shells are thermally decomposed during calcination of electro-spun fibers, resulting in the creation of dual-sized pores on NTs. Pt catalyst decorated porous SnO2 NTs (Pt-PS_SnO2 NTs) show exceptionally high acetone gas response, superior selectivity against other interfering gases, and very low limit of detection (10 ppb) to simulated diabetic acetone molecules. More importantly, sensor arrays assembled with developed porous SnO2 NTs enable the direct distinction between the simulated diabetic breath and normal breath from healthy people.