Abstract
Dengue fever is the most prevalent vector-borne disease in the world, with nearly 100 million people infected every year. Early diagnosis and identification of the pathogen are crucial steps for the treatment and for prevention of the disease, mainly in areas where the co-circulation of different serotypes is common, increasing the outcome of dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). Due to the lack of fast and inexpensive methods available for the identification of dengue serotypes, herein we report the development of an electrochemical DNA biosensor for the detection of sequences of dengue virus serotype 3 (DENV-3). DENV-3 probe was designed using bioinformatics software and differential pulse voltammetry (DPV) was used for electrochemical analysis. The results showed that a 22-m sequence was the best DNA probe for the identification of DENV-3. The optimum concentration of the DNA probe immobilized onto the electrode surface is 500 nM and a low detection limit of the system (3.09 nM). Moreover, this system allows selective detection of DENV-3 sequences in buffer and human serum solutions. Therefore, the application of DNA biosensors for diagnostics at the molecular level may contribute to future advances in the implementation of specific, effective and rapid detection methods for the diagnosis dengue viruses.
Highlights
A Sensitive and Selective Label-Free Electrochemical DNANatália Oliveira 1,*, Elaine Souza 2, Danielly Ferreira 1, Deborah Zanforlin 1, Wessulla Bezerra 1, Maria Amélia Borba 1, Mariana Arruda 1, Kennya Lopes 3, Gustavo Nascimento 1, Danyelly Martins 1,4, Marli Cordeiro 4 and José Lima-Filho 1,4
Dengue fever is the most prevalent vector-borne disease in the world
This can be achieved using bioinformatics analysis based on whole genome sequencing, in a way to predict the most specific region that is able to produce a steady double-strand DNA with the pathogen [37,38]
Summary
Natália Oliveira 1,*, Elaine Souza 2, Danielly Ferreira 1, Deborah Zanforlin 1, Wessulla Bezerra 1, Maria Amélia Borba 1, Mariana Arruda 1, Kennya Lopes 3, Gustavo Nascimento 1, Danyelly Martins 1,4, Marli Cordeiro 4 and José Lima-Filho 1,4.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.