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Electrochemical aptamer-based sensor for cerebrospinal fluid detection.

Xinlei Chen1, Mehmet Senel2,3, Junye Li1

  • 1Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA. mckhinester@gmail.com.

Analytical Methods : Advancing Methods and Applications
|November 24, 2025
PubMed
Summary
This summary is machine-generated.

We developed a novel electrochemical aptamer-based biosensor for rapid, sensitive detection of cerebrospinal fluid (CSF) leaks. This point-of-care tool offers a faster alternative to current diagnostic methods, improving patient outcomes.

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Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Cerebrospinal fluid (CSF) leakage poses significant health risks, including meningitis.
  • Current diagnostic methods are slow, require specialized equipment, and can produce false negatives.
  • There is a critical need for rapid, sensitive, and point-of-care diagnostic tools for CSF leaks.

Purpose of the Study:

  • To develop a novel electrochemical aptamer-based (E-AB) biosensor for rapid CSF leak detection.
  • To overcome limitations of existing diagnostic techniques for CSF leaks.
  • To establish a versatile platform for future neurological and emergency medicine biosensing applications.

Main Methods:

  • Utilized a conformation-switching aptamer system with a "switch-off" mechanism.
  • Employed electrochemical transduction for reagent-free, real-time detection.
  • Optimized the sensor using square wave voltammetry (SWV) for specificity and signal suppression.

Main Results:

  • Achieved a response time as short as 20 minutes.
  • Demonstrated high specificity and signal suppression in CSF samples.
  • Successfully differentiated between CSF and serum, minimizing interference from blood contamination.

Conclusions:

  • The E-AB biosensor offers a rapid, sensitive, and point-of-care solution for CSF leak detection.
  • This technology streamlines the diagnostic workflow and has potential for clinical viability.
  • The developed platform provides a versatile framework for future biosensing applications in neurology and emergency medicine.