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Integrated Enzyme-Logic systems for Monitoring
and Treating Autonomously Injured Soldiers
Joseph Wang (UCSD) and Evgeny Katz (Clarkson University)
Project Objectives:
To develop next-generation ‘sense
and treat’ autonomous devices for
enhancing the survival rate among A)
injured soldiers in the battlefield.
B)
Technical Approach:
 Our
approach
involves
the
design,
optimization, and evaluation of novel
biochemical
cascades
composed
of
concatenated enzyme-based logic gates
capable of performing Boolean logic
operations on biomarker inputs.
 This system will be applied to the
autonomous processing of physiological
information and interfaced with electronic
transducers & signal-responsive drug-delivery
materials / actuators.
 By using multiple key injury biomarkers as
inputs for the enzyme gates, the biochemical
logic system provides high-fidelity diagnostics
when compared with single biomarker sensors.
400 μm
400 μm
Accomplishments/Impact/Transitions:
 Extend enzyme logic gate functionality towards relevant injuries in
undiluted human serum samples with high fidelity
 Developed enzymatic filters to enhance separation in readouts of
different input combinations.
First demonstration of the applicability of enzyme gates in a porcine model
of blunt liver injury
 First demonstration of minimally-invasive microneedle sensor arrays for
monitoring fluctuations in key metabolites within the transdermal fluid
 Developed wearable textile-based electronic transducers, μ-electronic
backbone to control logic gates
Developed signal-responsive materials and interfaces actuated by
enzyme-based injury related gates for targeted drug delivery and sustained
drug release formulation
 Impact – Development of autonomous body-worn devices
/systems for minimally-invasive biomarker sampling
 Transitioning towards ‘Pharmacy-on-Demand’ paradigm for
the controlled release of a therapeutic intervention in response
to signals generated by enzyme logic sensor