Enhancing lateral flow immunoassay performance for cardiac troponin I detection with pore-size tailored silica nanoparticles and smartphone-based “AdaptiScan” analysis
The accurate and rapid detection of cardiac troponin I (cTnI) at the point of care is crucial for the timely diagnosis of myocardial infarction (MI). This study introduces an advanced lateral flow immunoassay (LFIA) platform for cTnI detection. We employed small-sized, large-pore dendritic mesoporous silica nanoparticles (DMSN-2) to encapsulate quantum dots (QDs), achieving an enhanced QD loading capacity of 1.427 g QD/g silica, compared to 0.881 g QD/g silica for smaller pore counterparts (DMSN-1). This nano-LFIA was further integrated with "AdaptiScan", a smartphone-based detection system that uses adaptive detection algorithms to automatically extract and analyze fluorescence signals from LFIA strips. This integration of pore-size tailored DMSNs and "AdaptiScan" resulted in a limit of detection for cTnI of 42.6 ng/L, which meets clinical diagnostic requirements. The platform offers a sensitive, cost-effective, and portable solution for rapid detection of MI, potentially transforming point-of-care testing in resource-limited settings.
Authors
- Shilun Feng (ORCID: https://orcid.org/0000-0002-2560-2417)
- Chuanlai Xu (ORCID: https://orcid.org/0000-0002-5639-7102)
- Shaonian Ye (ORCID: https://orcid.org/0009-0007-9382-2722)
- Yan Wang (ORCID: https://orcid.org/0000-0002-3341-1469)
- Huilin Li (ORCID: https://orcid.org/0000-0002-8288-7068)
- Fang Gao (ORCID: https://orcid.org/0000-0002-5224-3843)
Institutions
- University of Shanghai for Science and Technology (CN)
- Second Military Medical University (CN)
- State Key Laboratory of Transducer Technology (CN)
- Shanghai Institute of Microsystem and Information Technology (CN)
- Shanghai Pudong New Area Gongli Hospital (CN)
- China Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/fbioe.2025.1568719
- Citations
- 4
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 2.70