Naked-Eye Readable Microarray for Rapid Profiling of Antibodies against Multiple SARS-CoV-2 Variants

Nan, Jingjie; Chen, Yuan; Sun, Weihong; Yue, Ying; Che, Yuanyuan; Shan, Hongli; Xu, Wei; Liu, Bin; Zhu, Shoujun; Zhang, Junhu; Yang, Bai

doi:10.1021/acs.nanolett.3c03139

Nano Lett.

2023

DOI: 10.1021/acs.nanolett.3c03139

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Naked-Eye Readable Microarray for Rapid Profiling of Antibodies against Multiple SARS-CoV-2 Variants

Jingjie Nan,

Yuan Chen,

Weihong Sun

et al.

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2024

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“…After washing, the Au nanoparticle (AuNP) monolayer was transferred onto the substrate via a wet transfer method or a tape transfer method (Figure S1). The resulting sandwiched plasmonic nanostructure generated visible microarray patterns (Figure a). These images could be captured using several imaging devices, such as microscope, smartphone, and CCD camera.…”

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Neural Network Enables High Accuracy for Hepatitis B Surface Antigen Detection with a Plasmonic Platform

Sun,

Nan,

et al. 2024

Nano Lett.

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The detection of hepatitis B surface antigen (HBsAg) is critical in diagnosing hepatitis B virus (HBV) infection. However, existing clinical detection technologies inevitably cause certain inaccuracies, leading to delayed or unwarranted treatment. Here, we introduce a label-free plasmonic biosensing method based on the thickness-sensitive plasmonic coupling, combined with supervised deep learning (DL) using neural networks. The strategy of utilizing neural networks to process output data can reduce the limit of detection (LOD) of the sensor and significantly improve the accuracy (from 93.1%−97.4% to 99%−99.6%). Compared with widely used emerging clinical technologies, our platform achieves accurate decisions with higher sensitivity in a short assay time (∼30 min). The integration of DL models considerably simplifies the readout procedure, resulting in a substantial decrease in processing time. Our findings offer a promising avenue for developing high-precision molecular detection tools for point-of-care (POC) applications.

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confidence: 99%

Neural Network Enables High Accuracy for Hepatitis B Surface Antigen Detection with a Plasmonic Platform

Sun,

Nan,

et al. 2024

Nano Lett.

Self Cite

View full text Add to dashboard Cite

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Naked-Eye Readable Microarray for Rapid Profiling of Antibodies against Multiple SARS-CoV-2 Variants

Cited by 1 publication

References 31 publications

Neural Network Enables High Accuracy for Hepatitis B Surface Antigen Detection with a Plasmonic Platform

Neural Network Enables High Accuracy for Hepatitis B Surface Antigen Detection with a Plasmonic Platform

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