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Virus Biomarkers: Rapid Visual Screening and Programmable Subtype Classification of Ebola Virus Biomarkers (Adv. Healthcare Mater. 2/2017)
Author(s) -
Balcioglu Mustafa,
Rana Muhit,
Hizir Mustafa Salih,
Robertson Neil M.,
Haque Kashfia,
Yigit Mehmet V.
Publication year - 2017
Publication title -
advanced healthcare materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.288
H-Index - 90
eISSN - 2192-2659
pISSN - 2192-2640
DOI - 10.1002/adhm.201770007
Subject(s) - ebola virus , ebolavirus , virology , nanoprobe , virus , transmission (telecommunications) , medicine , biology , computational biology , nanotechnology , computer science , materials science , telecommunications , nanoparticle
Since early diagnosis of Ebola virus disease (EVD) may halt the transmission and increase the probability of survival, it is vital to develop costeffective, highly sensitive and selective biosensing platforms that allow for both the detection and phenotyping of Ebolavirus subtypes. In article 1600739, Mehmet V. Yigit and co‐workers report a highly programmable and sensitive approach that enables the visual detection and classification of four Ebolavirus subtypes in human urine in sixteen different combinations using a single gold nanoprobe.