Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Stacking growth of ionically conductive MOF on biofabrics enables reliable NH3 sensor for hepatic encephalopathy diagnosis

作者:Kai Liu, Yifan Xu, Xiaozhu Tian, Junxuan Liang, Zhihui Zhao, Jun Wang, Ziqi Zhang, Kewei Zhang, Song Yang · 发表于:npj Flexible Electronics · 年份:2025 · DOI:10.1038/s41528-025-00445-0 · 被引用次数:24 · 研究领域:Gas Sensing Nanomaterials and Sensors、Advanced Chemical Sensor Technologies、Metal-Organic Frameworks: Synthesis and Applications

Aiming at the poor selectivity of electrically conductive metal-organic framework (EC-MOF) chemoresistive materials, this study develops a breakthrough room temperature ammonia (NH 3 ) sensor by stacking ionically conductive MOF (IC-MOF) on an environmentally friendly biofabric. The synergism between ionic conductivity, tailored metal-nitrogen interaction, and fabric porosity enables the sensor with high response ( R 0 / R g = 14.7 towards 1 ppm NH 3 ), low detection limit (36 ppb), and remarkable selectivity (coefficient >5.12 against common organic interferents). Notably, the optimized sensor yields a sixfold enhancement in response as compared with traditional EC-MOF powders. A linear regression model validated by fivefold cross-validation achieves 98.4% accuracy in NH 3 concentration prediction, while the kNN classifier shows 96% accuracy in gas identification (tested on 192 samples). Preliminary clinical tests show that the sensor can clearly differentiate the exhaled NH 3 signals of four patients with HE from those of healthy individuals, demonstrating the potential for non-invasive diagnostics.