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Amperometric Self-Referencing Ceramic Based Microelectrode Arrays for D-Serine Detection.

Diana Campos-Beltrán1, Åsa Konradsson-Geuken2,3, Jorge E Quintero4,5

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Summary

This study introduces a new method for measuring D-serine, a key molecule in brain function and memory. The developed biosensor allows for sensitive and selective in vivo detection of D-serine, aiding research into neurological disorders.

Keywords:
D-serineamperometrybiosensormicroelectrode arrayself-referencing

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Area of Science:

  • Neuroscience
  • Biochemistry
  • Biosensor Technology

Background:

  • D-serine is the primary D-amino acid in the mammalian central nervous system.
  • It acts as a crucial co-agonist for synaptic NMDA receptors, influencing synaptic plasticity, learning, and memory.
  • Aberrant D-serine levels are implicated in neuropsychiatric conditions like schizophrenia, highlighting the need for in vivo monitoring.

Purpose of the Study:

  • To develop a sensitive and selective method for in vivo amperometric detection of D-serine.
  • To enable real-time monitoring of D-serine concentrations in dynamic neuron-glia network activity.
  • To provide a tool for investigating the role of D-serine in neurological functions and disorders.

Main Methods:

  • Utilized self-referencing ceramic-based microelectrode arrays (MEAs).
  • Coated MEAs with D-amino acid oxidase from *Rhodotorula gracilis* (RgDAAO) for selective D-serine detection.
  • Performed in vitro amperometric recordings to characterize sensor performance.

Main Results:

  • Achieved a mean sensitivity of 8.61 ± 0.83 pA/µM for D-serine.
  • Established a limit of detection (LOD) of 0.17 ± 0.01 µM.
  • Demonstrated high selectivity for D-serine over ascorbic acid (selectivity ratio ≥ 80:1).

Conclusions:

  • The developed RgDAAO-coated MEAs offer a robust platform for in vivo D-serine detection.
  • This technology facilitates the study of D-serine's role in brain function and its potential as a biomarker for neuropsychiatric disorders.
  • The sensor's performance characteristics support its application in freely moving studies for dynamic neural activity monitoring.