Nanoparticle-based photoacoustic analysis for highly sensitive lateral flow assays.
This paper demonstrates a photoacoustics-based lateral flow test that takes advantage of the strong interaction of light and gold nanoparticles to quantitatively detect a disease biomarker. For a commercially available lateral flow test strip, the photoacoustic analysis improved the detection limit by two orders of magnitude compared to colorimetric measurements.
Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA. menglu@iastate.edu.
Yunfei
Y
Zhao
Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA. menglu@iastate.edu.
Yin
Y
Huang
State Key Laboratory of Bioelectronics, Southeast University, Nanjing, Jiangsu 211189, P. R. China. xwzhao@iastate.edu.
Xiangwei
X
Zhao
MTEC Photoacoustics Inc., 3507 Oakland Street, Ames, IA 50014, USA.
John F
JF
McClelland
Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA. menglu@iastate.edu and Department of Mechanical Engineering, Iowa State University, Ames, Iowa 50011, USA.
Meng
M
Lu