Oral Contributed Presentation
SPR
Manisha Sheokand
Graduate Student
University of Cincinnati
Cincinnati, Ohio, United States
Der vang (she/her/hers)
Graduate Student
University of Cincinnati
cincinnati, Ohio, United States
Jonathan Jonathan
Procter & Gamble
Cincinnati, Ohio, United States
Emily Duderstadt
Procter & Gamble
Mason, Ohio, United States
Frances Joan Alvarez
Procter & Gamble
cincinnati, Ohio, United States
Justin Caserta
Procter & Gamble
Mason, Ohio, United States
Tom Cambron
Director Principle Scientist Corporate Functions
Procter & Gamble
Mason, Ohio, United States
Pietro Strobbia, PhD
Assistant Professor
University of Cincinnati
Cincinnati, Ohio, United States
The escalating threat of antibiotic and antibacterial resistance poses a serious risk to public health worldwide, emphasizing the need for new antibacterial strategies and compounds. To this end, the rapid and accurate identification of antibacterial mechanisms of action (MoA) is paramount. In this work, we present an approach that integrates surface-enhanced Raman spectroscopy (SERS) with partial least-squares (PLS) analysis to characterize the biochemical responses of Escherichia coli to various antibacterial agents. We examinine treatments that disrupt oxidative stress pathways, metabolic activity, and membrane integrity, using PLS+SERS, achieving high predictive performance (R² > 0.98). This effort revealed distinct spectral features corresponding to each MoA. This strategy offers a faster, cost-efficient alternative to conventional techniques such as genome sequencing and mass spectrometry, with the potential to streamline and accelerate early-stage antibiotic development.