Towards real-time additive-free dopamine detection at 10−8 mM with hardware accelerated platform integrated on camera

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Authors: Ning Li, Qizhou Wang, He Zhao, Arturo Burguete‐Lopez, Fei Xiang, Andrea Fratalocchi
Cited by: 0
References: 91

Abstract

Tracing physiological neurotransmitters such as dopamine (DA) with detection limits down to 1×10−8 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 10−8 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 the bulk form factor of an electrochemical workstation with an imaging camera’s compact and portable footprint. The optical accelerator implemented in this work is universal and trainable to detect a wide range of biological analytes. This technology’s wide adoption could help enable early disease detection and personalized treatment adjustments while improving the management of neurological, mental, and immune-related conditions. This work implements a universal, real-time, integrated platform for tracing analytes at ultrasensitive limits, reporting dopamine detection at concentration below 10-8 mM, improving the current best technology by two orders magnitude.

Fields of Study & Subjects

EEG and Brain-Computer Interfaces

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
4 June 2026
Language
EN