Quantum Electrochemical Spectroscopy (QES): A Threat-Agnostic, AI-Enabled Platform for Rapid Chemical and Biological Threat Detection

M. Krepps, S. Selzer, and E. Quevy
Probius, California, United States

Keywords: diagnostics, CB detection, threat-agnostic, AI-enabled, CB surveillance

Emerging chemical and biological threats increasingly outpace conventional detection technologies that rely on prior knowledge of specific pathogens or molecular targets. Probius has developed Quantum Electrochemical Spectroscopy (QES), a compact, reagent-free bioanalytical platform capable of generating comprehensive molecular fingerprints from biological and environmental samples using only a few µL of specimen and delivering results in less than 30 minutes. Unlike conventional diagnostics, QES interrogates the complete molecular composition of a sample rather than individual analytes. AI/ML models ("digital lenses") are trained in software to identify specific pathogens, host responses, or other biological signatures without requiring modifications to the underlying hardware. This enables rapid adaptation to novel or engineered CB threats while maintaining a single reagent-free, fieldable instrument. QES has demonstrated detection of multiple pathogens and neurotoxins across diverse sample matrices, including differentiation of an anthrax surrogate from a closely related Bacillus species in aerosol filter eluates and identification of bacterial pathogens in blood and environmental samples. This poster will present the QES operating principle and logistics, representative performance data, current validation efforts with national laboratory and academic partners, and the platform's potential role as a scalable dual-use capability for defense, homeland security, public health, and emergency response.