Dendritic Mesoporous SiO<sub>2</sub>-Based SERS-Nanozyme-Mediated Immunochromatographic Detection of Foodborne Viruses with Enhanced Sensitivity across Multiple Scenarios

Detecting low-concentration foodborne viruses in complex samples has long posed a great challenge. Here, we propose a colorimetric enhancement-surface-enhanced Raman scattering (SERS) quantitative dual-mode immunochromatographic assay (ICA), characterized by high flexibility, sensitivity, and stability, which can rapidly and accurately detect viruses in various environments, including field, home, and clinical laboratory settings. A multifunctional SERS nanozyme tag (DSAIA) is customized using dendritic mesoporous SiO<sub>2</sub> as the core, which is densely loaded with AuIr catalytic particles and coated with a layer of highly active 35 nm Au nanoparticles on the exterior, thereby simultaneously achieving monodispersity, strong peroxidase activity, and a high density of efficient SERS hotspots. By incorporating antibody-modified DSAIA into the ICA platform, the established technology facilitates rapid dual-mode detection of two significant foodborne viruses, norovirus (NoV) and adenovirus (AdV). In the nanozyme catalytic mode (visual recognition), the detection limits for NoV and AdV reached 0.001 ng/mL and 10<sup>2</sup> PFU/mL, respectively; in the SERS mode (instrumental analysis), the technology enables precise quantitative analysis and further lowers the detection limits to 0.00014 ng/mL (NoV) and 11 PFU/mL (AdV). Furthermore, by testing 92 clinical stool samples, the practicality of the proposed assay was confirmed, underscoring its immense potential for real-time virus detection.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-09-04
DOI
https://doi.org/10.1021/acs.analchem.5c03047
Citations
5
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
4.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dendritic Mesoporous SiO2-Based SERS-Nanozyme-Mediated Immunochromatographic Detection of Foodborne Viruses with Enhanced Sensitivity across Multiple Scenarios

Guanghua Li, Ting Wu, Qing Yu, Zeyong Xu et al.
5 citations
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
4.03
article

Dendritic Mesoporous SiO2-Based SERS-Nanozyme-Mediated Immunochromatographic Detection of Foodborne Viruses with Enhanced Sensitivity across Multiple Scenarios

Guanghua Li, Ting Wu, Qing Yu, Zeyong Xu, Bingjie Wang, Chongwen Wang, Zhengkang Li, Bing Gu, Jiaxuan Li
article en
5 citations

Abstract

Detecting low-concentration foodborne viruses in complex samples has long posed a great challenge. Here, we propose a colorimetric enhancement-surface-enhanced Raman scattering (SERS) quantitative dual-mode immunochromatographic assay (ICA), characterized by high flexibility, sensitivity, and stability, which can rapidly and accurately detect viruses in various environments, including field, home, and clinical laboratory settings. A multifunctional SERS nanozyme tag (DSAIA) is customized using dendritic mesoporous SiO<sub>2</sub> as the core, which is densely loaded with AuIr catalytic particles and coated with a layer of highly active 35 nm Au nanoparticles on the exterior, thereby simultaneously achieving monodispersity, strong peroxidase activity, and a high density of efficient SERS hotspots. By incorporating antibody-modified DSAIA into the ICA platform, the established technology facilitates rapid dual-mode detection of two significant foodborne viruses, norovirus (NoV) and adenovirus (AdV). In the nanozyme catalytic mode (visual recognition), the detection limits for NoV and AdV reached 0.001 ng/mL and 10<sup>2</sup> PFU/mL, respectively; in the SERS mode (instrumental analysis), the technology enables precise quantitative analysis and further lowers the detection limits to 0.00014 ng/mL (NoV) and 11 PFU/mL (AdV). Furthermore, by testing 92 clinical stool samples, the practicality of the proposed assay was confirmed, underscoring its immense potential for real-time virus detection.

Analytical ChemistryVol. 97(37)
Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), Indiana University School of Medicine, Southern Medical University (CN), South China University of Technology (CN)
National Natural Science Foundation of China, National Science and Technology Major Project, Natural Science Foundation of Guangdong Province for Distinguished Young Scholars
Openalex Percentile: Top 6%
Advanced biosensing and bioanalysis techniques
4.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.