Machine learning and chemometrics for electrochemical sensors: moving forward to the future of analytical chemistry

P Puthongkham, S Wirojsaengthong, A Suea-Ngam - Analyst, 2021 - pubs.rsc.org
Electrochemical sensors and biosensors have been successfully used in a wide range of
applications, but systematic optimization and nonlinear relationships have been …

[HTML][HTML] Chemometrics meets electrochemical sensors for intelligent in vivo bioanalysis

D Desagani, H Ben-Yoav - TrAC Trends in Analytical Chemistry, 2023 - Elsevier
The field of in-vivo electrochemical sensors is envisioned to greatly transform point-of-care
diagnostic devices and bio-chip sensing technology. However, these sensors' sensitivity and …

Deep learning for voltammetric sensing in a living animal brain

Y Xue, W Ji, Y Jiang, P Yu, L Mao - … Chemie International Edition, 2021 - Wiley Online Library
Numerous neurochemicals have been implicated in the modulation of brain function, making
them appealing analytes for sensors and diagnostics. However, it is a grand challenge to …

[HTML][HTML] Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression

CS Movassaghi, KA Perrotta, H Yang, R Iyer… - Analytical and …, 2021 - Springer
Many voltammetry methods have been developed to monitor brain extracellular dopamine
levels. Fewer approaches have been successful in detecting serotonin in vivo. No …

Identifying phasic dopamine releases using darknet-19 convolutional neural network

QA Al-Haija, M Smadi… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Understanding the role of neurotransmitter dopamine in brain function under normal or
pathological states is one of the most active areas of research in neurosciences. Failures in …

[HTML][HTML] Resolution of tonic concentrations of highly similar neurotransmitters using voltammetry and deep learning

A Goyal, J Yuen, S Sinicrope, B Winter, L Randall… - Molecular …, 2024 - nature.com
With advances in our understanding regarding the neurochemical underpinnings of
neurological and psychiatric diseases, there is an increased demand for advanced …

Novel, user-friendly experimental and analysis strategies for fast voltammetry: next generation FSCAV with artificial neural networks

S Mena, M Visentin, CE Witt, LE Honan… - ACS Measurement …, 2022 - ACS Publications
Fast-scan adsorption-controlled voltammetry (FSCAV) was recently derived from fast-scan
cyclic voltammetry to estimate the absolute concentrations of neurotransmitters by using the …

A Machine Learning Approach for Simultaneous Electrochemical Detection of Dopamine and Serotonin in an Optimized Carbon Thread-based Miniaturized Device

S Kumar, AK Bhagat, M Bhaiyya, K Amreen… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
To further optimize output from electrochemical sensing technology and minimize human
intervention, machine learning (ML) models are capable of imparting data-driven …

An FSCV deep neural network: development, pruning, and acceleration on an FPGA

Z Zhang, Y Oh, SD Adams, KE Bennet… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Fast-scan cyclic voltammetry (FSCV) is an electrochemical technique for measuring rapid
changes in the extracellular concentration of neurotransmitters within the brain. Due to its …

[HTML][HTML] Automatic chronic degenerative diseases identification using enteric nervous system images

GZ Felipe, JN Zanoni, CC Sehaber-Sierakowski… - Neural Computing and …, 2021 - Springer
Studies recently accomplished on the Enteric Nervous System have shown that chronic
degenerative diseases affect the Enteric Glial Cells (EGC) and, thus, the development of …