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Continuous Real-Time Detection of Serotonin Using an Aptamer-Based Electrochemical Biosensor.
Ahmad, Habib M N; Andrade, Arturo; Song, Edward.
Affiliation
  • Ahmad HMN; Department of Electrical & Computer Engineering, University of New Hampshire, Durham, NH 03824, USA.
  • Andrade A; Robert J. & Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA.
  • Song E; Department of Neuroscience, Brown University, Providence, RI 02912, USA.
Biosensors (Basel) ; 13(11)2023 Nov 13.
Article in En | MEDLINE | ID: mdl-37998158
Serotonin (5-HT) is a critical neurotransmitter involved in many neuronal functions, and 5-HT depletion has been linked to several mental diseases. The fast release and clearance of serotonin in the extracellular space, low analyte concentrations, and a multitude of interfering species make the detection of serotonin challenging. This work presents an electrochemical aptamer-based biosensing platform that can monitor 5-HT continuously with high sensitivity and selectivity. Our electrochemical sensor showed a response time of approximately 1 min to a step change in the serotonin concentration in continuous monitoring using a single-frequency EIS (electrochemical impedance spectroscopy) technique. The developed sensing platform was able to detect 5-HT in the range of 25-150 nM in the continuous sample fluid flow with a detection limit (LOD) of 5.6 nM. The electrochemical sensor showed promising selectivity against other species with similar chemical structures and redox potentials, including dopamine (DA), norepinephrine (NE), L-tryptophan (L-TP), 5-hydroxyindoleacetic acid (5-HIAA), and 5-hydroxytryptophan (5-HTP). The proposed sensing platform is able to achieve high selectivity in the nanomolar range continuously in real-time, demonstrating the potential for monitoring serotonin from neurons in organ-on-a-chip or brain-on-a-chip-based platforms.
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Full text: 1 Database: MEDLINE Main subject: Biosensing Techniques / Serotonin Language: En Journal: Biosensors (Basel) Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Biosensing Techniques / Serotonin Language: En Journal: Biosensors (Basel) Year: 2023 Type: Article Affiliation country: United States