A Printed Polarization‐Sensitive Biochip for Rapid and Accurate Detection of Respiratory Infections
Abstract Respiratory infections are the major cause of death from infectious diseases worldwide, which impose a heavy burden on public healthcare. Many respiratory viruses induce indistinguishable clinical symptoms, making accurate detection and effective surveillance challenging. Here, a polarization‐sensitive multiplex biochip is presented utilizing self‐assembled anisotropic nanochains for simultaneous colorimetric detection of multiple pathogens in human nasal, throat, and serum samples. The biochip features a patterned wettability surface, wherein the hydrophobic pattern facilitates precise sample segmentation, blocking the detection interferences. The hydrophilic areas can be utilized not only to print functionalized nanochains for selective identifications of different respiratory viruses, but also to support target preconcentration through the coffee‐ring phenomenon, enhancing the efficiency of virus detection. Furthermore, strong light confinement is shown near the nanochain surface by tailoring incident polarization, which enlarges colorimetric response sensitivity to virus loading. Thus, the simultaneous quantification of various respiratory viruses, including severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), influenza A virus, influenza B virus, and adenovirus, is achieved with a detection limit of 10 PFU mL −1 . In clinical tests, influenza patients are successfully distinguished from other volunteers with an accuracy of 96.2%. This method eliminates the need for extrinsic labels or preamplification, which is expected to expand at‐home diagnostic tools for respiratory pathogens.
Authors
- Daixi Xie
- Zewei Lian (ORCID: https://orcid.org/0009-0007-1873-866X)
- Yali Sun (ORCID: https://orcid.org/0000-0002-8396-0730)
- Zeying Zhang (ORCID: https://orcid.org/0009-0009-3446-1546)
- Jinwei Xia (ORCID: https://orcid.org/0009-0005-3926-7532)
- Jimei Chi
- Meng Su (ORCID: https://orcid.org/0000-0001-8485-2590)
- Pavel A. Belov (ORCID: https://orcid.org/0000-0002-5107-2763)
- Zhiyu Tan (ORCID: https://orcid.org/0009-0001-0058-1429)
- Yaqi Yang (ORCID: https://orcid.org/0000-0001-9460-6860)
- Sisi Chen (ORCID: https://orcid.org/0000-0001-8519-6951)
- Jin Cheng (ORCID: https://orcid.org/0000-0002-6328-7876)
- Yang Xu (ORCID: https://orcid.org/0000-0002-5869-1890)
- Yun Yang (ORCID: https://orcid.org/0009-0009-0390-8456)
- Liang Huang (ORCID: https://orcid.org/0009-0002-3569-1107)
- Lijun Cheng (ORCID: https://orcid.org/0000-0002-4047-5292)
- Zixuan Zhang (ORCID: https://orcid.org/0000-0002-6932-5941)
- Yanlin Song (ORCID: https://orcid.org/0000-0002-0267-3917)
- Danni Zhao (ORCID: https://orcid.org/0009-0007-8929-5720)
Institutions
- ITMO University (RU)
- Chinese Academy of Sciences (CN)
- Wenzhou Medical University (CN)
- Chinese PLA General Hospital (CN)
- China Academy of Printing Technology (CN)
- Taizhou First People's Hospital (CN)
- Institute of Chemistry (CN)
- University of Chinese Academy of Sciences (CN)
- Huazhong University of Science and Technology (CN)
- AGH University of Krakow (PL)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1002/adfm.202505794
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Beijing Municipality
- National Key Research and Development Program of China
- Beijing National Laboratory for Molecular Sciences