Zika virus (ZIKV) is considered an emerging infectious disease of high clinical and epidemiological relevance. The epidemiological emergency generated by the virus in Latin America and Southeast Asia in 2014 evidenced the urgent need for rapid and acute diagnostic tools. The current laboratory diagnosis of ZIKV is based on molecular and serological methods. However, molecular tools need expensive and sophisticated equipment and trained personnel; and serological detection may suffer from cross-reactivity. In this context, genosensors offer an attractive alternative for field-ready, early and accurate diagnosis of ZIKV. This work reports on the development of genosensors for the differential detection of ZIKV and its discrimination from dengue (DENV) and chikungunya (CHIKV) homologous arboviruses. We designed specific capture and signal probes by bioinformatics, and prove their specificity to amplify the target genetic material by the polymerase chain reaction (PCR). The designed biotinylated capture and digoxigenin (Dig)-labeled signal probes hybridized the target in a sandwich-type format. An anti-Dig antibody labeled with the horseradish peroxidase (HRP) enzyme allowed for both optical and electrochemical detection. The genosensors detected the ZIKV genetic material in spiked serum, urine, and saliva samples and cDNA from infected patients, discriminating them from the DENV and ZIKV genetic material. The proposed system offers a step forward to the differential diagnosis of the ZIKV, closer to the patient, very promising for diagnosis and surveillance of this rapidly emerging disease.Copyright © 2019 Elsevier B.V. All rights reserved.
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