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Drug-detecting bioelectronic nose based on odor cue memory combined with a brain computer interface.

Keqiang Gao1, Mengxi Hu1, Jiyang Li1

  • 1School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.

Biosensors & Bioelectronics
|November 3, 2023
PubMed
Summary

This study introduces a novel bioelectronic nose for drug detection, utilizing trained rats with brain-computer interfaces to identify hidden substances. The system shows promise for enhanced drug enforcement capabilities.

Keywords:
Brain computer interfaceDrug detectionMethamphetamineOptogenetic regulation

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Area of Science:

  • Neuroscience
  • Bioengineering
  • Pharmacology

Background:

  • The evolving international drug trade presents challenges due to novel concealment methods.
  • Effective drug detection requires advanced technologies capable of identifying substances in diverse environments.

Purpose of the Study:

  • To develop a bioelectronic nose system for drug detection using rodent models.
  • To integrate brain-computer interface and optogenetic technologies for enhanced olfactory memory retrieval and drug identification.

Main Methods:

  • Rats were trained to associate drug odors with positive reinforcement (food rewards).
  • Multichannel microelectrodes were implanted in the hippocampus (DG region) to record neural activity (spikes and local field potentials).
  • Optogenetic techniques were used to modulate neuronal activity related to odor detection and memory recall.

Main Results:

  • Trained rats rapidly located hidden low-dose drugs.
  • Significant changes in neural signal energy and time-frequency spectrum coupling indicated successful drug detection.
  • Neuronal activity markers (c-fos) confirmed robust activation in the DG region upon odor detection.

Conclusions:

  • The developed bioelectronic nose, leveraging rodent olfactory memory and neural signal analysis, demonstrates high efficacy in detecting concealed drugs.
  • This technology holds significant potential for future anti-drug enforcement operations, enabling detection in complex terrains and scenarios.