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具有嵌入式金属纳米催化剂的可打印3D碳纳米纤维网络

Printable 3D Carbon Nanofiber Networks with Embedded Metal Nanocatalysts.

作者信息

Simsek Marcel, Hoecherl Kilian, Schlosser Marc, Baeumner Antje J, Wongkaew Nongnoot

机构信息

Institute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, Universitaetsstraße 31, 93053 Regensburg, Germany.

Institute of Inorganic Chemistry, University of Regensburg, Universitaetsstraße 31, 93053 Regensburg, Germany.

出版信息

ACS Appl Mater Interfaces. 2020 Sep 2;12(35):39533-39540. doi: 10.1021/acsami.0c08926. Epub 2020 Aug 19.

DOI:10.1021/acsami.0c08926
PMID:32805926
Abstract

Carbon nanofiber (CNF) nanocatalyst hybrids hold great promise in fields such as energy storage, synthetic chemistry, and sensors. Current strategies to generate such hybrids are laborious and utterly incompatible with miniaturization and large-scale production. Instead, this work demonstrates that Ni nanoparticles embedded in three-dimensional (3D) CNFs of any shape and design can be easily prepared using electrospinning, followed by laser carbonization under ambient conditions. Specifically, a solution of nickel acetylacetonate /polyimide is electrospun and subsequently a design is printed via CO laser (Ni-laser-induced carbon nanofiber (LCNFs)). This creates uniformly distributed small Ni nanoparticles (∼8 nm) very tightly adhered to the CNF network. Morphological and performance characteristics can be directly influenced by metal content and lasing power and hence adapted for the desired application. Here, Ni-LCNFs are optimized for nonenzymatic electrochemical sensing of glucose with great sensitivity of 2092 μA mM cm and a detection limit down to 0.3 μM. Its selectivity for glucose vs interfering species (ascorbic and uric acid) is essentially governed by the Ni content. Most importantly, this strategy can be adapted to a whole range of metal precursors and hence provide opportunities for such 3D CNF-nanocatalyst hybrids in point-of-care applications where high-performance but also sustainable and low-cost fabrications are of utmost importance.

摘要

碳纳米纤维(CNF)纳米催化剂杂化物在储能、合成化学和传感器等领域具有巨大潜力。目前制备此类杂化物的策略既费力又与小型化和大规模生产完全不兼容。相反,这项工作表明,嵌入任何形状和设计的三维(3D)CNF中的镍纳米颗粒可以通过静电纺丝轻松制备,随后在环境条件下进行激光碳化。具体而言,将乙酰丙酮镍/聚酰亚胺溶液进行静电纺丝,随后通过CO激光打印设计图案(镍激光诱导碳纳米纤维(LCNFs))。这会产生均匀分布的小镍纳米颗粒(约8纳米),紧密附着在CNF网络上。形态和性能特征可直接受金属含量和激光功率的影响,从而适用于所需应用。在此,Ni-LCNFs针对葡萄糖的非酶电化学传感进行了优化,灵敏度高达2092 μA mM cm,检测限低至0.3 μM。其对葡萄糖相对于干扰物质(抗坏血酸和尿酸)的选择性基本上由镍含量决定。最重要的是,该策略可适用于一系列金属前驱体,因此为这种3D CNF-纳米催化剂杂化物在即时护理应用中提供了机会,在这些应用中,高性能以及可持续和低成本制造至关重要。

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