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Published on: February 16, 2018
Electrochemical Biosensor Based on Surface Imprinting for Zika Virus Detection in Serum
Chompoonuch Tancharoen1, Wannisa Sukjee1, Chutima Thepparit2
1Department of Chemistry, Faculty of Science , Kasetsart University , Bangkok 10900 , Thailand.
A novel electrochemical biosensor was developed for rapid Zika virus (ZIKV) detection. This new method, utilizing surface imprinted polymers and graphene oxide, offers sensitive ZIKV identification comparable to PCR.
Area of Science:
- Biotechnology
- Nanomaterials Science
- Infectious Disease Research
Background:
- Zika virus (ZIKV), a flavivirus, has gained significant attention due to its association with microcephaly in infants.
- Limited research existed on ZIKV until its link to severe congenital abnormalities.
- There is a pressing need for rapid and accurate diagnostic methods for ZIKV.
Purpose of the Study:
- To develop a novel electrochemical biosensor for the rapid detection of Zika virus.
- To utilize surface imprinted polymers and graphene oxide composites for enhanced sensor performance.
- To evaluate the biosensor's efficacy in detecting ZIKV in both buffer and serum samples.
Main Methods:
- Fabrication of an electrochemical biosensor using surface imprinted polymers and graphene oxide.
- Detection of ZIKV by monitoring changes in electrical signals.
- Utilizing standard electrochemical techniques for signal transduction.
- Testing the biosensor in buffer and serum matrices.
Main Results:
- The developed biosensor successfully detected ZIKV.
- The sensor demonstrated sensitivity by correlating electrical signal changes with ZIKV concentrations.
- The detection limit achieved was comparable to that of real-time quantitative reverse transcription PCR (RT-qPCR).
Conclusions:
- The novel electrochemical biosensor provides a promising tool for rapid ZIKV detection.
- The use of surface imprinted polymers and graphene oxide composites enhances sensor capabilities.
- This method offers a viable alternative for ZIKV diagnostics, especially in resource-limited settings.
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