用于现场即时寨卡病毒诊断的生物传感器的未来发展。

Nicolini Ariana M, McCracken Katherine E, Yoon Jeong-Yeol

Biomedical Engineering Graduate Interdisciplinary Program and Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721 USA.

Department of Agricultural and Biosystems Engineering, The University of Arizona, Tucson, AZ 85721 USA.

J Biol Eng. 2017 Jan 23;11:7. doi: 10.1186/s13036-016-0046-z. eCollection 2017.

Since early reports of the recent Zika virus outbreak in May 2015, much has been learned and discussed regarding Zika virus infection and transmission. However, many opportunities still remain for translating these findings into field-ready sensors and diagnostics. In this brief review, we discuss current diagnostic methods, consider the prospects of translating other flavivirus biosensors directly to Zika virus sensing, and look toward the future developments needed for high-sensitivity and high-specificity biosensors to come.

自2015年5月近期寨卡病毒疫情的早期报告以来，关于寨卡病毒感染与传播，人们已了解并讨论了很多。然而，将这些研究成果转化为适用于现场的传感器和诊断方法仍有很多机会。在这篇简短的综述中，我们讨论了当前的诊断方法，考虑了将其他黄病毒生物传感器直接转化用于寨卡病毒检测的前景，并展望了未来高灵敏度和高特异性生物传感器所需的发展方向。