TY - JOUR
T1 - 3D membrane-like tag mediated SERS encoding-lateral flow immunoassay for ultrasensitive and multiplex diagnosis of pathogens
AU - Shen, Wanzhu
AU - Li, Jiaxuan
AU - Zheng, Shuai
AU - Wang, Shu
AU - Wang, Chaoguang
AU - Yin, Jun
AU - Wang, Chongwen
N1 - Publisher Copyright:
© 2025
PY - 2025/6/15
Y1 - 2025/6/15
N2 - Rapidly and accurately detecting multiple bacteria through existing on-site detection methods remains a challenge. Here, we first propose a lateral flow immunoassay (LFA) based on three-dimensional (3D) multi-hotspot membrane-like (ML) tag, which enables ultrasensitive, simultaneous, and quantitative detection of multiple pathogens through surface-enhanced Raman scattering (SERS) encoding. The 3D ML SERS tag (named MoDAu@Ag) achieves superior colorimetric/SERS activities and a large reactive interface by loading two layers of Au@Ag nanoparticles onto 2D MoS2 nanosheets and precisely regulating the nanogaps through self-assembly with polyethyleneimine (PEI). The functionalization of MoDAu@Ag tags is achieved by filling three Raman molecules into PEI-nanogaps and directly modifying antibodies through electrostatic adsorption, overcoming the decline in material stability caused by traditional chemical synthesis methods. By implementing a testing line containing mixed antibodies, the MoDAu@Ag-based SERS-LFA enables rapid qualitative (colorimetric) and quantitative (SERS) detection of different pathogens through visual color signal evaluation and characteristic Raman signal measurement within a single detection area. The developed SERS-encoding LFA can simultaneously and accurately detect Pseudomonas aeruginosa, Salmonella typhimurium, and Escherichia coli O157:H7, with a remarkably low detection limits of 30–40 cells/mL and maintaining a quantitative linear relationship across four orders of magnitude. Furthermore, the robust practicality of our methodology is validated through comprehensive testing of diverse real-world samples, demonstrating its great potential for real-time, on-site pathogen detection applications.
AB - Rapidly and accurately detecting multiple bacteria through existing on-site detection methods remains a challenge. Here, we first propose a lateral flow immunoassay (LFA) based on three-dimensional (3D) multi-hotspot membrane-like (ML) tag, which enables ultrasensitive, simultaneous, and quantitative detection of multiple pathogens through surface-enhanced Raman scattering (SERS) encoding. The 3D ML SERS tag (named MoDAu@Ag) achieves superior colorimetric/SERS activities and a large reactive interface by loading two layers of Au@Ag nanoparticles onto 2D MoS2 nanosheets and precisely regulating the nanogaps through self-assembly with polyethyleneimine (PEI). The functionalization of MoDAu@Ag tags is achieved by filling three Raman molecules into PEI-nanogaps and directly modifying antibodies through electrostatic adsorption, overcoming the decline in material stability caused by traditional chemical synthesis methods. By implementing a testing line containing mixed antibodies, the MoDAu@Ag-based SERS-LFA enables rapid qualitative (colorimetric) and quantitative (SERS) detection of different pathogens through visual color signal evaluation and characteristic Raman signal measurement within a single detection area. The developed SERS-encoding LFA can simultaneously and accurately detect Pseudomonas aeruginosa, Salmonella typhimurium, and Escherichia coli O157:H7, with a remarkably low detection limits of 30–40 cells/mL and maintaining a quantitative linear relationship across four orders of magnitude. Furthermore, the robust practicality of our methodology is validated through comprehensive testing of diverse real-world samples, demonstrating its great potential for real-time, on-site pathogen detection applications.
KW - 3D membrane-like tag
KW - Bacteria
KW - Lateral flow immunoassay
KW - Multiplex detection
KW - SERS encoding
UR - http://www.scopus.com/inward/record.url?scp=105004208516&partnerID=8YFLogxK
U2 - 10.1016/j.cej.2025.163223
DO - 10.1016/j.cej.2025.163223
M3 - Article
AN - SCOPUS:105004208516
SN - 1385-8947
VL - 514
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 163223
ER -