Rapid Detection of Staphylococcus aureus from Gym Environments for Health Risk Monitoring Using Printed Nanochains-Based Biosensors
Gyms are indoor environments in which many people perform physical exercise and could potentially increase the risks of bacterial contamination and dissemination. <i>Staphylococcus aureus</i> (<i>S. aureus</i>) is one of the most prevalent bacteria in community-acquired infections; thus, the rapid detection and continuous monitoring of <i>S. aureus</i> are crucial for evaluating the hygienic status of gym environments. This work describes the fabrication of a nanochain-based biosensor for <i>S. aureus</i> detection using carboxyl-modified polystyrene (PS) nanoparticles functionalized with a specific antibody. When target bacteria bind to the nanochains, they yield distinct color changes which support the directly visualizable analysis of optical images, recorded using optical microscopy or even a smart mobile phone. In addition to high portability, this biosensor is also capable of the quantification and continuous monitoring of the bacterial load in a gym environment over a broad linear range (10<sup>0</sup> CFU/mL~10<sup>5</sup> CFU/mL), with a detection limit of 1 CFU/mL. In summary, this study validated the applicability of the biosensors for the rapid detection and real-time monitoring of gym environmental pathogens.
Authors
- Shidong Hu (ORCID: https://orcid.org/0000-0002-3820-2260)
- Yonggan Xue
- Maolin Xu (ORCID: https://orcid.org/0009-0003-1252-3212)
- Zhicheng Zheng
- Zeying Zhang (ORCID: https://orcid.org/0009-0009-3446-1546)
- Meng Su (ORCID: https://orcid.org/0000-0001-8485-2590)
- Xiaohui Du (ORCID: https://orcid.org/0000-0002-8713-1358)
- Yujing Zhang (ORCID: https://orcid.org/0000-0002-8534-8596)
- Jin Cheng (ORCID: https://orcid.org/0000-0002-6328-7876)
- Yaxin Li (ORCID: https://orcid.org/0009-0008-3163-0167)
- Liang Huang (ORCID: https://orcid.org/0009-0002-3569-1107)
Institutions
- Henan University (CN)
- Capital Medical University (CN)
- Chinese PLA General Hospital (CN)
- China Academy of Printing Technology (CN)
- Beijing National Laboratory for Molecular Sciences (CN)
- Beijing Sport University (CN)
Publication Details
- Journal
- Biosensors
- Published
- 2025-12-01
- DOI
- https://doi.org/10.3390/bios15120791
- Citations
- 2
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.35