Next Article in Journal
Research on a Wireless-Based Acoustic Signal Acquisition Smart Sensor Platform for Structural Health Monitoring of the Piping System in a Power Plant
Previous Article in Journal
ATP Synthesis and Biosensing Coupled to the Electroenzymatic Activity of a Hydrogenase on an Electrode/Biomimetic Membrane Interface
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Abstract

Split Deoxyribozyme Sensors for Pathogen Detection †

Chemistry Department, University of Central Florida, Orlando, FL 32816, USA
*
Author to whom correspondence should be addressed.
Presented at the 5th International Symposium on Sensor Science (I3S 2017), Barcelona, Spain, 27–29 September 2017.
Proceedings 2017, 1(8), 844; https://doi.org/10.3390/proceedings1080844
Published: 30 November 2017
Deoxyribozymes (Dz), catalytic DNA molecules, are promising tools to design nucleic acid sensors. In comparison with conventional hybridization probes and assays relying on protein enzymes, Dz-based sensors offer an advantage in signal amplification without compromising the sensor stability. Here, we present split Dz (sDz) sensors, which consist of two Dz subunits, each containing a half of the Dz catalytic core, as well as target-complementary fragments. In the presence of a specific nucleic acid target, the catalytically active construct is formed by binding the two subunits to the abutting target fragments, and a signal (e.g., fluorescence or color change) is generated due to the Dz catalytic activity. The signal depends on the target concentration and is therefore able to monitor for target detection and quantification. This approach is also applicable for the design of integrated sensors that have an additional computing element to convert the target-recognition event into a signal based on the embedded logic function. We demonstrate the advantages of the sDz approach by applying the sensors for the detection of bacterial and viral pathogens including Mycobacterium tuberculosis and ZIKA virus.

Acknowledgments

Funding from the National Institutes of Health (NIH; 1R21AI123876-01A1) and the Florida Department of Health (7ZK33) is greatly appreciated.

Share and Cite

MDPI and ACS Style

Gerasimova, Y.; Connelly, R. Split Deoxyribozyme Sensors for Pathogen Detection. Proceedings 2017, 1, 844. https://doi.org/10.3390/proceedings1080844

AMA Style

Gerasimova Y, Connelly R. Split Deoxyribozyme Sensors for Pathogen Detection. Proceedings. 2017; 1(8):844. https://doi.org/10.3390/proceedings1080844

Chicago/Turabian Style

Gerasimova, Yulia, and Ryan Connelly. 2017. "Split Deoxyribozyme Sensors for Pathogen Detection" Proceedings 1, no. 8: 844. https://doi.org/10.3390/proceedings1080844

Article Metrics

Back to TopTop