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A Selective and Sensitive Electrochemical Biosensor for early-stage Zika diagnostics

Technology Overview

The Zika-virus (ZIKV) infection is considered a deadly persistent epidemic and is of global concern due to the lack of effective drugs, vaccines, and diagnostic tools. ZIKV spreads in humans via the mosquitoes Aedes aegypti and Aedes albopictus. It has modified itself in humans and can be maintained through a mosquito-human-mosquito transmission cycle where non-human reservoirs are not mandatory for transmission. This process ends in a serious infection, resulting in life-threatening pathogenesis such as microcephaly and serious neurological disorders.

 

High costs, long diagnostic times, and stringent expertise requirements limit the utility of reverse transcriptase-polymerase chain reaction (RT-PCR) methods for rapid diagnostics. Hence, there is a market demand for efficient analytical devices to detect ZIKV infection.

 

This technology is for a portable, sensitive, selective, and cost-effective sensing systems to detect ZIKV at pM concentrations in biofluids. This technology is useful for early stage ZIKV diagnostics, selective screening, diseases progress monitoring, and therapy efficacy assessment. Overall this analytical system has potential to manage ZIKV diseases at site of epidemic.

Technology Features & Specifications

A disposable micro-array based electrochemical impedimetric sensing chip was prepared via immobilization of ZIKV specific envelop protein antibody (Zev-Abs). The results of EIS studies confirmed that sensing chip detected ZIKV-protein selectively and exhibited a detection range from 10 pM to 1 nM and a detection limit of 10 pM along with a high sensitivity of 12 kΩM−1

Potential Applications

The ZIKV immune-sensing chip can be integrated with a miniaturized potentiostat (MP)-interfaced with a smartphone for rapid ZIKV-infection detection required for early stage diagnostics at point-of-care application.

Customer Benefits

  • Very cost-effective and rapid diagnostics
  • Easy to operate and data analysis
  • Rapid diseases progress monitoring
  • Timely therapy decision

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