Synthesizing Conductive Metal–Organic Framework Nanosheets for High-Performing Chemiresistive Sensors

IF 8.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Chuanhui Huang, Shirong Huang, Wei Wang, Xing Huang, Arezoo Dianat, Rashid Iqbal, Geping Zhang, Naisa Chandrasekhar, Luis Antonio Panes-Ruiz, Yang Lu, Zhongquan Liao, Bergoi Ibarlucea, Chenchen Wang, Xinliang Feng, Gianaurelio Cuniberti, Renhao Dong
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Abstract

Two-dimensional conjugated metal–organic frameworks (2D c-MOFs) are emerging as unique electrode materials with great potential for electronic applications. However, traditional devices based on c-MOFs often utilize them directly in the powder or nanoparticle form, leading to weak adhesion to the device substrate and resulting in low stability and high noise levels in the final device. In this study, we present a novel approach utilizing thin c-MOFs synthesized via a general MOF nanosheet sacrifice approach, enhancing their aspect ratio and flexibility for high-performance electronic applications. The resultant benzene-based Cu-BHT nanosheets feature a thin thickness (around 5 nm) and a high aspect ratio (>100), affording Cu-BHT exceptional flexibility with a 10-fold decrease in Young’s modulus (0.98 GPa) and hardness (0.09 GPa) compared to bulk Cu-BHT nanoparticles (10.79 and 0.75 GPa, respectively). This heightened flexibility enables the Cu-BHT nanosheets to conform to the channels of the electrodes, ensuring robust adhesion to the electrode substrate and improving device stability. As a proof-of-concept, the chemiresistive nanosensor based on Cu-BHT nanosheets demonstrates an 8.0-fold decrease in the coefficient of variation of the response intensity and a 47.1-fold increase in the signal-to-noise ratio compared to sensors based on bulk Cu-BHT nanoparticles. Combined with the machine learning algorithms, the Cu-BHT nanosensor demonstrates outstanding performance in identifying and discriminating multiple volatile organic compounds at room temperature with an average accuracy of 97.9%, surpassing the thus-far-reported chemiresistive sensors.

Abstract Image

合成用于高性能化学电阻传感器的导电金属-有机框架纳米片
二维共轭金属有机框架(2D c-MOFs)是一种独特的电极材料,具有很大的电子应用潜力。然而,基于c- mof的传统器件通常直接以粉末或纳米颗粒形式使用它们,导致其与器件衬底的附着力较弱,最终器件的稳定性低,噪声水平高。在这项研究中,我们提出了一种利用普通MOF纳米片牺牲方法合成薄c-MOF的新方法,提高了其宽高比和灵活性,适用于高性能电子应用。由此产生的苯基Cu-BHT纳米片具有薄厚度(约5 nm)和高宽高比(>100)的特点,与大块Cu-BHT纳米颗粒(分别为10.79和0.75 GPa)相比,提供了Cu-BHT卓越的柔韧性,杨氏模量(0.98 GPa)和硬度(0.09 GPa)分别降低了10倍。这种高度的灵活性使Cu-BHT纳米片能够符合电极的通道,确保与电极衬底的牢固粘附并提高器件的稳定性。作为概念验证,与基于块状Cu-BHT纳米颗粒的传感器相比,基于Cu-BHT纳米片的化学电阻纳米传感器的响应强度变异系数降低了8.0倍,信噪比提高了47.1倍。结合机器学习算法,Cu-BHT纳米传感器在室温下识别和区分多种挥发性有机化合物方面表现出出色的性能,平均准确率为97.9%,超过了迄今为止报道的化学电阻传感器。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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