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Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
Published on: February 16, 2018
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Label-Free Capacitive Biosensor for Detection of Cryptosporidium
George Luka1, Ehsan Samiei2, Soroush Dehghani3
1School of Engineering, University of British Columbia, 333 University Way, Kelowna, BC V1V1V7, Canada. george.luka@alumni.ubc.ca.
Sensors (Basel, Switzerland)
|January 13, 2019
Summary
A new label-free capacitive biosensor detects Cryptosporidium oocysts in water. This biosensor uses specific antibodies to identify the pathogen, offering a sensitive method for environmental monitoring and outbreak prevention.
Area of Science:
- Environmental Science
- Biotechnology
- Analytical Chemistry
Background:
- Cryptosporidium is a major cause of diarrheal disease globally.
- Early detection of Cryptosporidium oocysts is crucial for preventing outbreaks.
- Existing detection methods can be time-consuming or require specialized equipment.
Purpose of the Study:
- To develop and validate a novel label-free capacitive biosensor for Cryptosporidium oocyst detection.
- To assess the biosensor's performance in detecting Cryptosporidium in environmental water samples.
- To establish the biosensor's potential for broader biomarker detection.
Main Methods:
- Covalent immobilization of anti-Cryptosporidium monoclonal antibodies (IgG3) onto interdigitated gold electrodes.
- Utilizing bovine serum albumin for blocking non-specific adsorption.
- Measuring changes in capacitive/dielectric properties for label-free detection.
- Confirmation of oocyst capture using FITC immunofluorescence assay.
Main Results:
- The biosensor accurately distinguished varying concentrations of Cryptosporidium oocysts.
- A linear detection range of 15 to 153 cells/mm² was achieved.
- A detection limit of 40 cells/mm² was determined.
- Biosensor response was concentration-dependent under optimized conditions.
Conclusions:
- The developed label-free capacitive biosensor is a promising tool for detecting Cryptosporidium in environmental water.
- The technology demonstrates high sensitivity and specificity for Cryptosporidium oocysts.
- The biosensor platform has potential for adaptation to detect other environmental and biomedical biomarkers.
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