Viruses pose serious infectious disease threats to humans
and animals.
To significantly decrease the mortality and morbidity caused by virus
infections, there is an urgent need of sensitive and rapid point-of-care
platforms for virus detection, especially in low-resource settings.
Herein, we developed a smartphone-based point-of-care platform for
highly sensitive and selective detection of the avian influenza virus
based on nanomaterial-enabled colorimetric detection. The 3D nanostructures,
which serve as a scaffold for antibody conjugation to capture the
avian influenza virus, are made on PDMS herringbone structures with
a ZnO nanorod template. After virus capture, the on-chip gold nanoparticle-based
colorimetric reaction allows virus detection by naked eyes with a
detection limit of 2.7 × 104 EID50/mL,
which is one order of magnitude better than that of conventional fluorescence-based
ELISA. Furthermore, a smartphone imaging system with data processing
capability further improves the detection limit, reaching down to
8 × 103 EID50/mL. The entire virus capture
and detection process can be completed in 1.5 h. We envision that
this point-of-care microfluidic system integrated with smartphone
imaging and colorimetric detection would provide a fast, cheap, sensitive,
and user-friendly platform for virus detection in low-resource settings.