Journal article
Enhancing the signal of lateral flow immunoassays by using different developing methods
Sensors and Materials, Vol.27(7), pp.549-561
2015
Abstract
Lateral flow immunoassay devices are potential biosensors for point-of-care diagnostics. However, these devices are limited by low analytical sensitivity when coupled with a visual colorimetric signal. Here, we analyzed key parameters related to nucleic acid lateral flow performance and related this to the analytical theory behind lateral flow functionality. In particular, we predicted a set of different physical running methods to optimize the assay signal intensity by ensuring higher binding of the signal molecules to the DNA. We found that a double-run method improved the assay signal intensity on average by approximately 50%, and a fully absorbed conjugate pad method came close to the double-run signal efficacy at high DNA concentrations. Our results demonstrate that even when the signal molecule is supplied in excess, a significant proportion of analytes bind to the detection antibody in a colorless complex. The lowest detection limits achieved were 0.1 picomole for detection using an anti-Cy5 antibody and 0.01 picomole for the detection using an anti-Texas Red antibody. Our double-run method improvement is generic, does not require additional reagents and equipment, reduces assay costs compared to the fully absorbed method, and is applicable to other lateral flow immunoassays.
Details
- Title
- Enhancing the signal of lateral flow immunoassays by using different developing methods
- Authors
- Jia Li (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringDavid J McMillan (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringJoanne Macdonald (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
- Publication details
- Sensors and Materials, Vol.27(7), pp.549-561
- Publisher
- M Y U - Scientific Publishing Division
- Date published
- 2015
- DOI
- 10.18494/SAM.2015.1090
- ISSN
- 0914-4935
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99449559602621
- Output Type
- Journal article
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