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Research Article

Metal–organic framework wafer enabled fast response radiation detection with ultra-low dark current

Meng XuJianxi Liu ( )Wei WuYang ChenDonghao MaSixin ChenWanqi JieMenghua Zhu( )Yadong Xu( )
State Key Laboratory of Solidification Processing, MIIT Key Laboratory of Radiation Detection Materials and Devices, & School of Materials Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, China
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Abstract

Semiconductive metal–organic frameworks (MOFs) have attracted great interest for the electronic applications. However, dark currents of present hybrid organic–inorganic materials are 1000–10,000 times higher than those of commercial inorganic detectors, leading to poor charge transportation. Here, we demonstrate a ZIF-8 (Zn(mim)2, mim = 2-methylimidazolate) wafer with ultra-low dark current of 1.27 pA·mm−2 under high electric fields of 322 V·mm−1. The isostatic pressing preparation process provides ZIF-8 wafers with good transmittance. Besides, the presence of redox-active metals and small spatial separation between components promotes the charge hopping. The ZIF-8-based semiconductor detector shows promising X-ray detection sensitivity of 70.82 μC·Gy−1·cm−2 with low doses exposures, contributing to superior X-ray imaging capability with a relatively high spatial resolution of 1.2 lp·mm−1. Simultaneously, good peak discrimination with the energy resolution of ~ 43.78% is disclosed when the detector is illuminated by uncollimated 241Am@5.48 MeV α-particles. These results provide a broad prospect of MOFs for future radiation detection applications.

Graphical Abstract

Metal–organic framework detectors show excellent capabilities in α-particle detection as well as X-ray imaging.

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Nano Research
Pages 2988-2993

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Cite this article:
Xu M, Liu J, Wu W, et al. Metal–organic framework wafer enabled fast response radiation detection with ultra-low dark current. Nano Research, 2024, 17(4): 2988-2993. https://doi.org/10.1007/s12274-023-6217-6
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Received: 08 August 2023
Revised: 18 September 2023
Accepted: 18 September 2023
Published: 20 October 2023
© Tsinghua University Press 2023