Plasmonic metasurface microfluidic accelerates redox reactions for rapid phenotypic antibiotic susceptibility testing

Electron-accepting chain reactions play crucial roles in diagnostics for bacterial infections, from nucleic acid amplification for bacterial identification to metabolic assays for phenotypic antibiotic susceptibility testing. When coupled with redox mediators, these reactions can be interrogated using an electroanalytical method. We demonstrate kinetic acceleration of loop-mediated isothermal amplification-based identification and resazurin-based phenotypic antibiotic susceptibility profiling through enhanced electromagnetic fields and modulated hot electron injection at the multilayered plasmonic metasurface-fluidic interface. We systematically investigate rounded versus sharp-apex plasmonic architectures, quantifying near-field magnitude and decay to identify geometries that maximize kinetic amplification under electrochemical readout. This approach is further combined with machine learning-assisted Gaussian fitting to improve data quantification and interpretation. Across diverse bacterial species, we achieved rapid identification with no cross-reactivity and phenotypic antibiotic susceptibility testing without overnight culture. In a prospective pilot clinical study of urine specimens directly from patients with suspected urinary tract infections, we observe high accuracy and strong essential and categorical agreement with standard clinical microbiology assays for bacterial identification and antibiotic susceptibility testing.

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Publication Details

Journal
Science Advances
Published
2026-10-14
DOI
https://doi.org/10.1126/sciadv.aec7686
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Plasmonic metasurface microfluidic accelerates redox reactions for rapid phenotypic antibiotic susceptibility testing

Dao M. Nguyen, Roozbeh Siavash Moakhar, Tamer AbdElFatah, Sara Mahshid et al.
Science Advances
Biosensors and Analytical Detection
article

Plasmonic metasurface microfluidic accelerates redox reactions for rapid phenotypic antibiotic susceptibility testing

Dao M. Nguyen, Roozbeh Siavash Moakhar, Tamer AbdElFatah, Sara Mahshid, Mahsa Jalali, Sripadh Guptha Yedire, Carolina del Real Mata, Hamed Shieh, Seyed Vahid Hamidi, Geoffrey A. McKay, Rachel Corsini, Ziwei He, Sahar Sadat Mahshid, Cédric P. Yansouni, Grace Reszetnik, Max Petkun
article en

Abstract

Electron-accepting chain reactions play crucial roles in diagnostics for bacterial infections, from nucleic acid amplification for bacterial identification to metabolic assays for phenotypic antibiotic susceptibility testing. When coupled with redox mediators, these reactions can be interrogated using an electroanalytical method. We demonstrate kinetic acceleration of loop-mediated isothermal amplification-based identification and resazurin-based phenotypic antibiotic susceptibility profiling through enhanced electromagnetic fields and modulated hot electron injection at the multilayered plasmonic metasurface-fluidic interface. We systematically investigate rounded versus sharp-apex plasmonic architectures, quantifying near-field magnitude and decay to identify geometries that maximize kinetic amplification under electrochemical readout. This approach is further combined with machine learning-assisted Gaussian fitting to improve data quantification and interpretation. Across diverse bacterial species, we achieved rapid identification with no cross-reactivity and phenotypic antibiotic susceptibility testing without overnight culture. In a prospective pilot clinical study of urine specimens directly from patients with suspected urinary tract infections, we observe high accuracy and strong essential and categorical agreement with standard clinical microbiology assays for bacterial identification and antibiotic susceptibility testing.

Science AdvancesVol. 12(42)
Montreal General Hospital (CA), McGill University Health Centre (CA), Research Institute of the McGill University Health Centre (CA), McGill University (CA)
Fonds de Recherche du Québec - Santé
Good health and well-being
Openalex Percentile: Top 24%
Biosensors and Analytical Detection
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