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Published on: February 23, 2020
Artificial-enzyme gel membrane-based biosurveillance sensor with high reproducibility and long-term storage stability
Shinya Ikeno1, Tetsuya Yoshida, Tetsuya Haruyama
1Department of Biological functions and Engineering, Kyushu Institute of Technology, Kitakyushu Science and Research Park, Fukuoka, 808-0196, Japan.
The Analyst
|January 29, 2009
Summary
A novel artificial-enzyme sensor detects biologically relevant phosphoric substances by targeting their shared diphosphoric acid anhydride structure. This biosurveillance tool shows promise for identifying biocontaminants like bacteria, spores, and viruses.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Sensor Technology
Background:
- Biosurveillance requires sensitive and selective detection methods for biological threats.
- Current methods may lack the ability to detect a broad range of contaminants efficiently.
- Exploiting structural commonalities offers a novel approach to biosurveillance.
Purpose of the Study:
- To develop a novel biosensor for primary biosurveillance.
- To exploit structural commonality in biologically relevant phosphoric substances for detection.
- To create a sensor capable of detecting a wide range of biocontaminants.
Main Methods:
- Fabrication of an artificial-enzyme membrane for sensor development.
- Utilizing structure-selective catalytic hydrolysis of diphosphoric acid anhydride structures.
- Coupling catalytic hydrolysis with amperometric detection at -250 mV vs. Ag/AgCl.
- Synthesizing and testing the artificial-enzyme membrane for sensor applications.
Main Results:
- The artificial-enzyme membrane successfully catalyzed the hydrolysis of diphosphoric acid anhydride structures.
- The sensor demonstrated structure-selective detection of various biological phosphoric substances.
- Detection was achieved in the micromolar (µM) to millimolar (mM) concentration range with good stability and reproducibility.
- The sensor successfully detected heat-lysed Escherichia coli, with response correlating to bacterial numbers.
Conclusions:
- Artificial-enzyme-based detection is a viable and novel strategy for practical front-line biosurveillance.
- The sensor's ability to detect molecular commonality enables comprehensive surveillance of biocontaminants.
- This approach can be applied to the detection of microorganisms, spores, and viruses.

