Summary: A new test that measures dopamine levels in biological fluids could help detect depression, Parkinson’s disease and other disorders marked by abnormal dopamine levels.
Altered levels of dopamine, a neurotransmitter, are apparent in various conditions, such as Parkinson’s disease and depression.
In research published in ChemistrySelectresearchers describe a rapid, sensitive and simple test for determining dopamine levels in biological fluids.
The method could help clinicians detect abnormal blood levels of dopamine in patients, potentially allowing earlier detection of the disease.
The method relies on so-called carbon quantum dots, a type of carbon nanomaterial with photoluminescent properties, and an ionic liquid, which is made up of several mineral anions and organic cations that exist in liquid form at room temperature.
“The proposed electrochemical sensor could be an exceptional advance in the detection of dopamine and pave the way for the molecular diagnosis of neurological diseases,” write the authors.
About This Dopamine Research News
Author: Sara Henning Stout
Contact: Sara Henning-Stout-Wiley
Picture: Image is in public domain
Original research: Free access.
“An electrochemical sensor based on carbon quantum dots and ionic liquids for the selective detection of dopamine” by Zahra Nazari et al. ChemicalSelect
An electrochemical sensor based on carbon quantum dots and ionic liquids for the selective detection of dopamine
Dopamine (DA) as a neurotransmitter plays a central role in the central nervous system. Due to altered levels of DA in various neuroscientific diseases, the development of a rapid, sensitive, and simple analytical approach to determine DA in biological fluids could be highly applicable.
In this research, a novel electrochemical sensor based on a carbon paste electrode (CPE) modified with ionic liquid (IL) and carbon quantum dots (CQD) to measure DA with uric acid and ascorbic acid was developed. ILs and CQDs have been synthesized and characterized for their specific properties such as composition, emission, size distribution and morphological structure.
Then, the modified CPE and the different concentration of DA were determined by cyclic voltammetry. The modified electrode showed great electrocatalytic activity for DA oxidation.
Under optimal conditions, the calibration chart for DA was linear in the range of 0.1–50 μM in phosphate buffer (pH = 7.4) and the detection limit was 0.046 μM. The electrode has been used successfully in the determination of DA in real samples and has generated acceptable outputs.
The proposed electrochemical sensor could constitute an exceptional advance in the detection of AD and pave the way for the molecular diagnosis of neurological diseases.