Citation: LI Zhao-Fa, ZENG Jing-Yi, MAO Yu-Rui, FAN Ke-Xin, JIANG Min. Development of a Simple and Ultra-Sensitive Method for Rapid Detection of H1N1 Influenza A Virus[J]. Chinese Journal of Analytical Chemistry, ;2022, 50(10): 1482-1490. doi: 10.19756/j.issn.0253-3820.221119 shu

Development of a Simple and Ultra-Sensitive Method for Rapid Detection of H1N1 Influenza A Virus

LI Zhao-Fa ^1,2,, ,
ZENG Jing-Yi ² ,
MAO Yu-Rui ² ,
FAN Ke-Xin ¹ ,
JIANG Min ¹

1.
School of Medicine, Huaqiao University, Quanzhou 362021, China;
2.
School of Biomedical Sciences, Huaqiao University, Quanzhou 362021, China

Corresponding author: LI Zhao-Fa, lizhaofa@hqu.edu.cn
Received Date: 10 March 2022
Revised Date: 6 July 2022

Fund Project: Supported by the Guidance Project of Fujian Province of China (No.2021Y0027) and the Project of Fujian Postgraduate Supervisor Team.

A rapid, simple and ultra-sensitive detection method for H1N1 influenza A virus (IAV) was developed based on aptamers and rolling circle amplification technique. Ten candidate aptamers of H1N1 IAV were screened by magnetic bead-systematic evolution of ligands by exponential enrichment (SELEX) technique, cloned, sequenced and combined repeat sequence. The binding force, specificity and affinity of aptamers were characterized by dot blot hybridization and enzyme linked immunosorbent assay (ELISA), and two linear aptamers Apt2 and Apt6 with good specificity and high affinity were obtained. H1N1 A influenza virus was captured and enriched by linear Apt2 modified on the surface of magnetic nanospheres. Then H1N1 IAV was combined with the circular aptamer CApt6, which was used as a template for rolling circle amplification (RCA). The detection results were displayed by gold nanoparticles visualization method. The results showed that the detection limit of H1N1 virus was 100.0 copies/μL. This work provided a new idea for development of ultra-sensitive and rapid method for detection of virus.
- H1N1 influenza A virus,
- Aptamer,
- Rolling circle amplification,
- Gold nanoparticles,
- Visual detection
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