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.
Authors
- Aiqin Luo (ORCID: https://orcid.org/0000-0001-6558-6696)
- Axin Liang (ORCID: https://orcid.org/0000-0001-5650-7693)
- Shujie Du (ORCID: https://orcid.org/0009-0006-4119-4851)
- Niu Feng
- SM Zhang
- Rongxin Fu
- Dou Wang (ORCID: https://orcid.org/0000-0001-7836-9180)
- Chen Hu (ORCID: https://orcid.org/0000-0002-7637-7387)
- Yiping Chen (ORCID: https://orcid.org/0009-0005-0492-7852)
- Nana Gao
- Ying Li
- Jiangjiang Zhang
- Guanghui Zheng
Institutions
- 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)
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