4.5 Article

Fully Textile X-Ray Detectors Based on Fabric-Embedded Perovskite Crystals

期刊

ADVANCED MATERIALS INTERFACES
卷 9, 期 15, 页码 -

出版社

WILEY
DOI: 10.1002/admi.202101417

关键词

perovskite; textile sensors; wearable sensors; X-ray detectors

资金

  1. National Operation Program (PON) of the Ministry of Education, University and Research supported this work (Project PON-MIUR 2018 (Italy)) [ARS01_00996]
  2. Universita degli Studi di Bologna within the CRUI-CARE Agreement

向作者/读者索取更多资源

This research introduces the manufacturing process of fully textile perovskite-based X-ray detectors, which achieve high sensitivity values and low detection limits on fabrics, as well as validation of wearable applications and proof of principle for large-area scalability.
The interest and thrust for wearable ionizing radiation dosimeters are rapidly growing, stimulated by a large number of different applications impacting on humankind, spanning from medicine to civil security and space missions. Lead halide perovskites are considered one of the most promising classes of novel materials for X-ray detectors due to their superior electronic and detection performance coupled with compatibility with solution-based printing processes, allowing fabrication onto flexible substrates. It is reported on fully textile perovskite-based direct X-ray detectors, where the photoactive layer is constituted by a silk-satin fabric functionalized with methylammonium lead bromide perovskite crystals embedded in the textile. The reliability of the proposed fabrication process, based on simple and low-tech deposition techniques adaptable to industrial printing technologies for textiles, is assessed by realizing different detector's architectures that exhibit comparable detection performances. Sensitivity values up to (12.2 +/- 0.6) mu C Gy(-1) cm(-2) and a limit of detection down to 3 mu Gy s(-1) are achieved, and low bias operation (down to 1 V) is demonstrated, validating wearable applications. Further, fully textile pixelated matrix X-ray sensors are implemented and tested, providing the proof of principle for large-area scalability.

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