4.8 Article

Ultrasensitive and multiplex detection of four pathogenic bacteria on a bi-channel lateral flow immunoassay strip with three-dimensional membrane-like SERS nanostickers

Journal

BIOSENSORS & BIOELECTRONICS
Volume 214, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114525

Keywords

Lateral flow immunoassay; Bacteria; Flexible nanosticker; Membrane-like SERS tag; Multiplex detection

Funding

  1. National Natural Science Founda- tion of China [81830101, 81871734, 82072380]
  2. Natural Science Foundation of Anhui Province [1908085QB85]
  3. Research foundation for advanced talents of Guangdong Provincial People?s Hospital [KJ012021097]

Ask authors/readers for more resources

Researchers have developed a bi-channel surface-enhanced Raman scattering (SERS)-based lateral flow immunoassay (LFA) technique using nanostickers for sensitive and multiplexed detection of bacteria. The results showed that the nanostickers could rapidly detect multiple pathogens with high sensitivity and multiplex analysis capability.
A lateral flow immunoassay (LFA) technique for sensitive and multiplexed on-site detection of bacteria remains a challenge. Here, we develop a bi-channel surface-enhanced Raman scattering (SERS)-based LFA by using three-dimensional membrane-like SERS tags as nanostickers (named GO@Au/Ag) for direct and ultrasensitive analysis of multiple pathogens in a single test. The grafting of numerous Ag satellites onto nanosticker significantly increased the relative surface area for bacteria binding and generated efficient SERS hotspots over large area to improve the sensing sensitivity. Antibody-labeled GO@Au/Ag nanostickers can rapidly stick onto the target bacteria and generate superior SERS signals and fluidity on the paper strip, thus conquering the adverse effect of bacteria size and improving the multiplex analysis ability of LFA. The integration of two different Raman reporter molecules into nanostickers allows simultaneous detection of four pathogens on two test lines, which significantly simplifies the reading process of SERS signals. The proposed biosensor can quantitatively detect four different bacteria in real clinical samples with low detection limit (9 cells mL(-1) level), short assay time (20 min), high accuracy and excellent stability, indicating its great application potential for on-site detection of pathogens.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available