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

Authors

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

Published in

Science advances. Volume 12. Issue 42. Pages eaec7686. Oct 16, 2026. Epub Oct 14, 2026.

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.

PMID:
42873870
Bibliographic data and abstract were imported from PubMed on 15 Oct 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.