Towards real-time additive-free dopamine detection at $10^{-8}$ mM with hardware accelerated platform integrated on camera
Ning Li, Qizhou Wang, Zhao He, Arturo Burguete-Lopez, Fei Xiang, Andrea Fratalocchi

TL;DR
This paper presents a novel, ultra-sensitive, real-time dopamine detection platform integrated into a camera, significantly surpassing existing methods in sensitivity and enabling portable, continuous monitoring for neurological research and medical diagnostics.
Contribution
The work introduces an innovative optical platform with engineered membranes and accelerators integrated into commercial cameras, achieving over two orders of magnitude improvement in dopamine detection sensitivity.
Findings
Detects dopamine below 10^{-8} mM in real-time
Improves detection resolution by over 100 times
Offers portable, continuous monitoring at video rates
Abstract
Tracing physiological neurotransmitters such as dopamine (DA) with detection limits down to mM is a critical goal in neuroscience for studying brain functions and progressing the understanding of cerebral disease. Addressing this problem requires enhancing the current state-of-the-art additive-free electrochemical workstation methods by over two orders of magnitude. In this work, we implement an ultra-sensitive, additive-free platform exploiting suitably engineered light-scattering membranes and optical accelerators integrated into commercial vision cameras, reporting real-time detection of DA in uric and ascorbic acid below the concentration of mM. These performances improve the current best technology by over two orders of magnitude in resolution while providing continuous, real-time detection at video rates. This technology also upgrades…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces
