A Compartmentalization-Free Digital Immunoassay Based on Plasmonic-Fluorescence Nanoparticles

Ultrasensitive protein detection is crucial for early disease diagnosis, precision medicine, and life science research. Digital immunoassays, especially compartmentalization-free formats, hold significant promise in this field due to their operational simplicity and independence from large-scale instrumentation. However, the performance of such compartmentalization-free digital immunoassays critically depends on the effective single-molecule labels. In this study, we developed a novel compartmentalization-free digital immunoassay utilizing plasmonic-fluorescent nanoparticles (SA-Cy3@BSA-Bio@Au NPs) as labels for individual immunocomplexes. These nanoparticles were synthesized by first modifying gold nanoparticles (Au NPs) with biotinylated bovine serum albumin (BSA-Bio) using a freeze-driven conjugation method, followed by the attachment of streptavidin-conjugated Cy3 (SA-Cy3). The synthesized SA-Cy3@BSA-Bio@Au NPs possess a small size yet exhibit exceptional single-particle brightness and dispersibility. Leveraging these properties, we established a compartmentalization-free digital immunoassay platform and evaluated its performance using interleukin-6 (IL-6) as a model analyte. The developed assay achieved a remarkable detection limit of 95 fg/mL, comparable to existing digital immunoassays. Furthermore, owing to the relatively small dimensions of SA-Cy3@BSA-Bio@Au NPs, this method significantly reduces the assay time to 75 min. The potential practical utility was verified through spiked and recovery experiments using human serum samples. This work provides a new design strategy for labels in digital immunoassays, facilitating sensitive and rapid detection.

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Publication Details

Journal
Analytical Chemistry
Published
2025-11-20
DOI
https://doi.org/10.1021/acs.analchem.5c04237
Primary Topic
Biosensors and Analytical Detection
Type
article
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article

A Compartmentalization-Free Digital Immunoassay Based on Plasmonic-Fluorescence Nanoparticles

Xiaoyun Shan, Zhike He, Fuxiang Zhou, Yimiao He et al.
Analytical Chemistry
Biosensors and Analytical Detection
article

A Compartmentalization-Free Digital Immunoassay Based on Plasmonic-Fluorescence Nanoparticles

Xiaoyun Shan, Zhike He, Fuxiang Zhou, Yimiao He, Ziwen Tang, Feng Gong, Xinghu Ji
article en

Abstract

Ultrasensitive protein detection is crucial for early disease diagnosis, precision medicine, and life science research. Digital immunoassays, especially compartmentalization-free formats, hold significant promise in this field due to their operational simplicity and independence from large-scale instrumentation. However, the performance of such compartmentalization-free digital immunoassays critically depends on the effective single-molecule labels. In this study, we developed a novel compartmentalization-free digital immunoassay utilizing plasmonic-fluorescent nanoparticles (SA-Cy3@BSA-Bio@Au NPs) as labels for individual immunocomplexes. These nanoparticles were synthesized by first modifying gold nanoparticles (Au NPs) with biotinylated bovine serum albumin (BSA-Bio) using a freeze-driven conjugation method, followed by the attachment of streptavidin-conjugated Cy3 (SA-Cy3). The synthesized SA-Cy3@BSA-Bio@Au NPs possess a small size yet exhibit exceptional single-particle brightness and dispersibility. Leveraging these properties, we established a compartmentalization-free digital immunoassay platform and evaluated its performance using interleukin-6 (IL-6) as a model analyte. The developed assay achieved a remarkable detection limit of 95 fg/mL, comparable to existing digital immunoassays. Furthermore, owing to the relatively small dimensions of SA-Cy3@BSA-Bio@Au NPs, this method significantly reduces the assay time to 75 min. The potential practical utility was verified through spiked and recovery experiments using human serum samples. This work provides a new design strategy for labels in digital immunoassays, facilitating sensitive and rapid detection.

Analytical ChemistryVol. 97(48)
North Sichuan Medical University (CN), Wuhan University (CN), Zhongnan Hospital of Wuhan University (CN), Hubei Cancer Hospital (CN)
Openalex Percentile: Top 65%
Biosensors and Analytical Detection
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