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

Aiming at the poor selectivity of electrically conductive metal-organic framework (EC-MOF) chemoresistive materials, this study develops a breakthrough room temperature ammonia (NH3) 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 (R0/Rg = 14.7 towards 1 ppm NH3), 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 NH3 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 NH3 signals of four patients with HE from those of healthy individuals, demonstrating the potential for non-invasive diagnostics.

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Publication Details

Journal
npj Flexible Electronics
Published
2025-07-12
DOI
https://doi.org/10.1038/s41528-025-00445-0
Citations
14
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
10.23

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article

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

Song Yang, Junxuan Liang, Kai Liu, Ziqi Zhang et al.
14 citations
npj Flexible Electronics
Gas Sensing Nanomaterials and Sensors
10.23
article

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

Song Yang, Junxuan Liang, Kai Liu, Ziqi Zhang, Yifan Xu, Kewei Zhang, Zhihui Zhao, Xiaozhu Tian, Jun Wang
article en
14 citations

Abstract

Aiming at the poor selectivity of electrically conductive metal-organic framework (EC-MOF) chemoresistive materials, this study develops a breakthrough room temperature ammonia (NH3) 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 (R0/Rg = 14.7 towards 1 ppm NH3), 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 NH3 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 NH3 signals of four patients with HE from those of healthy individuals, demonstrating the potential for non-invasive diagnostics.

npj Flexible ElectronicsVol. 9(1)
Qingdao University (CN), Qinghai No.3 People's Hospital (CN), Beijing Ditan Hospital (CN), Qinghai Provincial Peoples Hospital (CN)
Natural Science Foundation of Qingdao
Openalex Percentile: Top 2%
Gas Sensing Nanomaterials and Sensors
10.23
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Stacking growth of ionically conductive MOF on biofabrics enables reliable NH3 sensor for hepatic encephalopathy diagnosis — Song Yang, Junxuan Liang, et al. · npj Flexible Electronics (2025) | TGRS Research Map | TGRS