Published April 2019 | Version v1
Journal article

Ultrasensitive detection of avian influenza A (H7N9) virus using surface-enhanced Raman scattering-based lateral flow immunoassay strips

  • 1. Department of Bioengineering, Guangdong Province Engineering Research Center for Antibody Drug and Immunoassay, Jinan University, Guangzhou, 510632 (China)
  • 2. Wuhan Keqian Biology Co., Ltd, Wuhan, 430000 (China)
  • 3. State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 (China)
  • 4. Institute of Food Safety and Nutrition, Jinan University, Guangzhou, 510632 (China)

Description

Highlights: • An antibody-based Raman lateral flow immunoassay strip was developed for the AIV H7N9. • AuAg4−ATP@AgNPs was synthesized firstly to develop ultrabright SERS probes. • SERE-LFIAS was three orders of magnitude more sensitive than the corresponding HA assays. -- Abstract: The development of biosensors that are portable, low-cost, and quantitative has long been sought for rapid, on-site, and timely detection of avian influenza virus (AIV). In this study, an antibody-based Raman lateral flow immunoassay strip was developed to detect AIV H7N9. This LFIA strip used a novel core-shell structure material, AuAg4−ATP@AgNPs, as a Raman probe. An antibody specific for AIV and goat anti-mouse IgG antibody were immobilized on a nitrocellulose membrane as the test and control lines, respectively. Accumulation of antibody-virus-antibody-Raman probe complex at the test line could be visualized by the naked eye, and the Raman signal could be quantified using a portable Raman instrument. The testing process for the SERS-based LFIA strips could be completed in 20 min, which avoided the time-cost of current methods for AIV analysis. In our SERS-based biosensor, we estimated the limit of detection (LOD) for H7N9 to be 0.0018 HAU. This value is approximately three orders of magnitude more sensitive than the corresponding HA assays. When testing real sample, the results of the strip test were in accordance with those from real-time PCR testing. In conclusion, the SERS-based LFIA strip proposed in this study shows tremendous potential to detect targets quickly and sensitively using an elegantly simple method.

Additional details

Identifiers

DOI
10.1016/j.aca.2018.11.056;
PII
S0003267018314144;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
1053
Journal Page Range
p. 139-147
ISSN
0003-2670
CODEN
ACACAM

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.