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Updated: Sep 27, 2025
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Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules
Published on: June 1, 2011
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An Allosteric Transcription Factor DNA-Binding Electrochemical Biosensor for Progesterone
Karthika Sankar1, R Baer2, Chloé Grazon3,4,5,6
1Division of Materials Science and Engineering, Boston University, Boston, Massachusetts 02215, United States.
ACS Sensors
|April 12, 2022
Summary
This study presents a new electrochemical sensor for detecting progesterone using allosteric transcription factors. This biosensor shows promise for clinical applications in identifying small-molecule biomarkers.
Area of Science:
- Biomedical Engineering
- Electrochemistry
- Molecular Biology
Background:
- Steroid hormones, like progesterone, are crucial biomarkers for various physiological processes.
- Current methods for detecting steroid hormones can be complex and time-consuming.
- Allosteric transcription factors (aTFs) offer potential as specific biorecognition elements.
Purpose of the Study:
- To develop an electrochemical biosensor for detecting progesterone (PRG).
- To leverage the binding affinity of aTFs for sensing small-molecule biomarkers.
- To establish a sensitive and clinically relevant method for PRG detection.
Main Methods:
- Utilized an electrochemical strategy to transduce aTF binding events.
- Employed square wave voltammetry to monitor current changes.
- Designed a sensor incorporating a progesterone-specific aTF (SRTF1) and its cognate DNA.
Main Results:
- The sensor successfully detected PRG by monitoring the unbinding of SRTF1 from DNA.
- Demonstrated sufficient sensitivity for PRG detection in artificial urine samples.
- Validated the use of aTFs as effective biorecognition elements for electrochemical sensing.
Conclusions:
- Developed a novel electrochemical biosensor for progesterone detection.
- Showcased the potential of aTFs in creating point-of-care devices for small-molecule analysis.
- Highlighted the applicability of this approach for clinical diagnostics and biomarker monitoring.
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