Janus Metal-AIEgen Framework@Hydrogel Patch for Ultrasensitive, Multivariate Responsive, and Intelligent Point-Of-Care Sensors

Point-of-care testing (POCT) techniques showcase convenience, low cost, and broad applications in public security and laboratory medicine. Hydrogel-based POCT has drawn great interest because of its improved stability and interference resistance. Here, we synthesize high quantum yield metal-AIEgen frameworks (MAFs) and explore stacking heterogeneous hydrogel thin film complexes to prepare a Janus <b>BP@GA</b> hydrogel patch for multianalyte and ultrasensitive intelligent POCT sensors. The aqueous swelling difference renders the Janus hydrogel patch with physical self-sorting behavior for image-based digital recognition. Combined with the fluorescence encoding capacity of MAFs, the Janus <b>BP@GA</b> hydrogel patch achieves fast digital sensing of multianalytes based on customized mobile app-actuated image recognition arithmetic, for example, the intelligent determination of four halide ions. Owing to excellent sensing performance, we develop the <b>BP</b> hydrogel patch coupling with a nonenzymic dual cascade amplification system (H<sub>2</sub>O<sub>2</sub>-I<sup>-</sup>) for ultrasensitive pathogen detection. The limit of detection is 3 CFU/mL for <i>Staphylococcus aureus</i>, staying at the same level compared with enzymic nucleic acid tests but over 100 times more sensitive than other chromogenic/fluorimetric sensors. Clinical bacterial strain tests showed 100% accuracy (<i>n</i> = 28). Fluorescent MAF@hydrogel patch-based ultrasensitive and intelligent digital sensing represents a powerful and convenient POCT platform for developing multiplex and ultrasensitive biochemical sensors from ions to cells.

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Publication Details

Journal
Analytical Chemistry
Published
2025-12-27
DOI
https://doi.org/10.1021/acs.analchem.5c05928
Citations
2
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
1.35
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article

Janus Metal-AIEgen Framework@Hydrogel Patch for Ultrasensitive, Multivariate Responsive, and Intelligent Point-Of-Care Sensors

Aiqin Luo, Axin Liang, Shujie Du, Niu Feng et al.
2 citations
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article

Janus Metal-AIEgen Framework@Hydrogel Patch for Ultrasensitive, Multivariate Responsive, and Intelligent Point-Of-Care Sensors

Aiqin Luo, Axin Liang, Shujie Du, Niu Feng, SM Zhang, Rongxin Fu, Dou Wang, Chen Hu, Yiping Chen, Nana Gao, Ying Li, Jiangjiang Zhang, Guanghui Zheng
article en
2 citations

Abstract

Point-of-care testing (POCT) techniques showcase convenience, low cost, and broad applications in public security and laboratory medicine. Hydrogel-based POCT has drawn great interest because of its improved stability and interference resistance. Here, we synthesize high quantum yield metal-AIEgen frameworks (MAFs) and explore stacking heterogeneous hydrogel thin film complexes to prepare a Janus <b>BP@GA</b> hydrogel patch for multianalyte and ultrasensitive intelligent POCT sensors. The aqueous swelling difference renders the Janus hydrogel patch with physical self-sorting behavior for image-based digital recognition. Combined with the fluorescence encoding capacity of MAFs, the Janus <b>BP@GA</b> hydrogel patch achieves fast digital sensing of multianalytes based on customized mobile app-actuated image recognition arithmetic, for example, the intelligent determination of four halide ions. Owing to excellent sensing performance, we develop the <b>BP</b> hydrogel patch coupling with a nonenzymic dual cascade amplification system (H<sub>2</sub>O<sub>2</sub>-I<sup>-</sup>) for ultrasensitive pathogen detection. The limit of detection is 3 CFU/mL for <i>Staphylococcus aureus</i>, staying at the same level compared with enzymic nucleic acid tests but over 100 times more sensitive than other chromogenic/fluorimetric sensors. Clinical bacterial strain tests showed 100% accuracy (<i>n</i> = 28). Fluorescent MAF@hydrogel patch-based ultrasensitive and intelligent digital sensing represents a powerful and convenient POCT platform for developing multiplex and ultrasensitive biochemical sensors from ions to cells.

Analytical ChemistryVol. 98(1)
Beijing Institute of Technology (CN), Capital University (US), Capital Medical University (CN), Huazhong Agricultural University (CN), Beijing Tian Tan Hospital (CN), Kingmed Diagnostics (CN), Institute of Food Science & Technology (GB), Pharmaceutical Formulations (United States) (US), Zhengzhou Institute of Machinery (CN), Dalian Polytechnic University (CN), Ministry of Industry and Information Technology (CN), Guangzhou Medical University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Biosensors and Analytical Detection
1.35
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