Robotics & Machine Learning Daily News2024,Issue(Mar.4) :57-58.

Technical University Reports Findings in Machine Learning (Quantitative determination of dopamine in the presence of interfering substances supported by machine learning tools)

Robotics & Machine Learning Daily News2024,Issue(Mar.4) :57-58.

Technical University Reports Findings in Machine Learning (Quantitative determination of dopamine in the presence of interfering substances supported by machine learning tools)

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Abstract

New research on Machine Learning is the subject of a report. According to news reporting out of Wildau, Germany, by NewsRx editors, research stated, “In the field of neuroscience as well as in the clinical setting, the neurotransmitter dopamine (DA) is an analyte which is important for research as well as medical purposes. There are plenty of methods available to measure dopamine quantitatively, with voltammetric ones such as differential pulse voltammetry (DPV) being among the most convenient and simple ones.” Our news journalists obtained a quote from the research from Technical University, “However, dopamine often occurs, either naturally or because of the requirements of involved enzymatic systems, alongside substances that can influence the signal it produces upon electrochemical conversion. An example for such substances is the magnesium ion, which itself is not electrochemically active in the potential range needed for DA oxidation, but influences the dopamine signal. We have characterized the properties of DPV signals subject to the interaction between DA and Mg and show that, although these properties are changing in a nonlinear fashion when both concentrations are varying, relatively simple linear mathematical models can be used to determine dopamine concentrations quantitatively in the presence of magnesium ions.”

Key words

Wildau/Germany/Europe/Biogenic Amines/Catecholamines/Cyborgs/Dopamine/Emerging Technologies/Machine Learning/Mathematics/Organic Chemicals

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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