Metal–Organic Framework@Gold Nanoparticles Enables Point-of-Care Diagnostics To Have Comparable Analytical Performance to Chemiluminescent Immunoassays
Lateral flow immunoassay (LFIA) is a vital point-of-care testing (POCT) technique that is widely used for on-site detection and in vitro diagnosis. Many diseases, particularly cardiovascular diseases (CVDs), require the quantitative detection of multiple biomarkers across a broad dynamic range. Recurrent viral infections like COVID-19 elevate CVDs risk, necessitating early warning and prognostic monitoring, especially based on POCT of multiple blood biomarkers of D-dimer, NT-proBNP, and cTnI across a broad range from pg/mL to μg/mL. Traditional LFIAs lack ultrasensitivity and broad-range quantification. We design the surface chemistry-mediated template-free assembly of metal-aggregation-induced emission luminogens (AIEgen) framework@gold nanoparticles (MAF@AuNPs) for developing ultrasensitive and dynamic dual-quantitative LFIA (ddLFIA). The template-free self-assembled MAF@AuNPs have strong fluorescent and plasmonic properties, avoiding complicated synthesis, chemical modifications, and covalent conjugations, thus leading to highly convenient and versatile visual POCT. MAF@AuNPs ddLFIA achieves a normal detection at ng/mL using chromogenic AuNPs and ultrasensitive detection at pg/mL using fluorogenic MAFs, for which the fluorescence signal is 10<sup>2</sup>-10<sup>3</sup> times more sensitive than the color signal. MAFs and AuNPs are functionally complementary to form a dynamic, broad-range quantification system covering over 5 orders of magnitude, at the same time having a naked eye sensitivity near 1 pg/mL. The visual POCT using MAF@AuNPs ddLFIA aligns well with clinical chemiluminescent assays. MAF@AuNPs ddLFIA perfectly matches ultrasensitive and broad-range multiple biomarker detections for clinical CVDs diagnosis.
Authors
- Fengli Chai (ORCID: https://orcid.org/0000-0003-4220-1268)
- Saijie Wang (ORCID: https://orcid.org/0000-0001-9193-6098)
- SM Zhang
- Xingyu Jiang (ORCID: https://orcid.org/0009-0003-4109-8542)
- Yao Chen (ORCID: https://orcid.org/0000-0003-2708-8674)
- Dou Wang (ORCID: https://orcid.org/0000-0001-7836-9180)
- Jiuxin Qu
- Jiangjiang Zhang
Institutions
- Beijing Institute of Technology (CN)
- Southern University of Science and Technology (CN)
- Department of Physics, Mathematics and Informatics (BY)
- National Clinical Research (US)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1021/acs.analchem.5c04267
- Citations
- 3
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 63.83