Motion-Based
Immunological Detection of Zika Virus
Using Pt-Nanomotors and a Cellphone
Posted on 2018-05-16 - 13:51
Zika virus (ZIKV) infection is an
emerging pandemic threat to humans
that can be fatal in newborns. Advances in digital health systems
and nanoparticles can facilitate the development of sensitive and
portable detection technologies for timely management of emerging
viral infections. Here we report a nanomotor-based bead-motion cellphone
(NBC) system for the immunological detection of ZIKV. The presence
of virus in a testing sample results in the accumulation of platinum
(Pt)-nanomotors on the surface of beads, causing their motion in H2O2 solution. Then the virus concentration is detected
in correlation with the change in beads motion. The developed NBC
system was capable of detecting ZIKV in samples with virus concentrations
as low as 1 particle/μL. The NBC system allowed a highly specific
detection of ZIKV in the presence of the closely related dengue virus
and other neurotropic viruses, such as herpes simplex virus type 1
and human cytomegalovirus. The NBC platform technology has the potential
to be used in the development of point-of-care diagnostics for pathogen
detection and disease management in developed and developing countries.
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3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
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AAPG Bulletin
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Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
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Academy of Management Proceedings
Academy of Management Review
Draz, Mohamed
Shehata; Lakshminaraasimulu, Nivethitha Kota; Krishnakumar, Sanchana; Battalapalli, Dheerendranath; Vasan, Anish; Kanakasabapathy, Manoj Kumar; et al. (2018). Motion-Based
Immunological Detection of Zika Virus
Using Pt-Nanomotors and a Cellphone. ACS Publications. Collection. https://doi.org/10.1021/acsnano.8b01515
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AUTHORS (14)
MD
Mohamed
Shehata Draz
NL
Nivethitha Kota Lakshminaraasimulu
SK
Sanchana Krishnakumar
DB
Dheerendranath Battalapalli
AV
Anish Vasan
MK
Manoj Kumar Kanakasabapathy
AS
Aparna Sreeram
SK
Shantanu Kallakuri
PT
Prudhvi Thirumalaraju
YL
Yudong Li
SH
Stephane Hua
XG
Xu G. Yu
DK
Daniel R. Kuritzkes
HS
Hadi Shafiee