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Microfluidic biosensor for cholera toxin detection in fecal samples.

Natinan Bunyakul1, Chamras Promptmas, Antje J Baeumner

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Summary

Minimal sample preparation, including centrifugation, enhances microfluidic immunosensors for cholera toxin detection in stool. This approach improves diagnostic accuracy for complex matrices, crucial for developing rapid diagnostic devices.

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Area of Science:

  • Biotechnology
  • Biosensor Development
  • Analytical Chemistry

Background:

  • Complex biological matrices pose challenges for diagnostic assays.
  • Minimal sample preparation is crucial for efficient diagnostic device development.
  • Previous biosensors for cholera toxin were limited to buffer solutions.

Purpose of the Study:

  • To investigate minimal sample preparation methods for stool samples.
  • To optimize a microfluidic immunosensor for cholera toxin detection.
  • To evaluate the impact of sample processing on biosensor performance in complex matrices.

Main Methods:

  • Development of polydimethylsiloxane-based microfluidic devices using soft lithography.
  • Immobilization of cholera toxin subunit B (CTB)-specific antibodies on superparamagnetic beads.
  • Utilized ganglioside GM1-containing liposomes for CTB recognition.
  • Optimized sample processing (filtration, centrifugation) using microtiter plate assays and microfluidic systems.

Main Results:

  • Centrifugation effectively reduced matrix effects in the fluorescence format, achieving a limit of detection (LOD) of 9.0 ng/mL.
  • Electrochemical detection showed a slightly reduced performance (LOD of 31.7 ng/mL) due to matrix effects.
  • Negligible cross-reactivity was observed with heat-labile *Escherichia coli* toxin in the electrochemical format.

Conclusions:

  • Minimal sample preparation, specifically centrifugation, significantly enhances the performance of microfluidic immunosensors for cholera toxin in stool.
  • The developed liposome-based microfluidic system demonstrates excellent analytical performance in complex matrices.
  • This approach is adaptable for detecting analytes in various sample types, paving the way for broader diagnostic applications.