Sensitive and rapid detection of tetrodotoxin based on gold nanoflower-and latex microsphere-labeled monoclonal antibodies

Yongming Huang; Aidi Xu; Yang Xu; Huijuan Wu; Menghan Sun; Lakshani Madushika; Rongzhi Wang; Jun Yuan; Shihua Wang; Sumei Ling

doi:10.3389/fbioe.2023.1196043

Sensitive and rapid detection of tetrodotoxin based on gold nanoflower-and latex microsphere-labeled monoclonal antibodies

Front Bioeng Biotechnol. 2023 May 16:11:1196043. doi: 10.3389/fbioe.2023.1196043. eCollection 2023.

Authors

Affiliation

¹ The Ministry of Education Key Laboratory of Biopesticide and Chemical Biology, Fujian Key Laboratory of Pathogenic Fungi and Mycotoxins, School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.

Abstract

Tetrodotoxin (TTX) could result in serious diseases due to its extremely high neurotoxicity. Thus, it is of great importance to measure TTX for food safety. In this study, an anti-TTX monoclonal antibody with good specificity and high affinity was used to develop the immunochromatographic test strips (ICTS). Gold nanoflower (AuNF) with multiple branches and latex microsphere (LM) with large particle size as signal reporters were employed for improving the sensitivity of test strips. Both AuNF and LM probes are stable, and the developed ICTS were specific to TTX, demonstrating no cross-reactivity with other marine toxins. The linear range of AuNF- and LM-based strips for TTX was 9.49-330.98 ng/mL and 5.40-443.19 ng/mL, respectively. The limit of detection (LOD) of AuNF- and LM-based strips was determined to be 9.49 ng/mL and 5.40 ng/mL, respectively. In summary, the developed ICTS based on AuNF and LM signal probes displayed enhancement of sensitivity and provided rapid and specific detection of TTX.

Keywords: detection; gold nanoflower; immunochromatography strip; latex microsphere; monoclonal antibody; tetrodotoxin.

Grants and funding

This work was supported by the Science and Technology Project in Fujian Province (2018YZ0002-1), National Natural Science Foundation of China (32272412), and Fujian Science and Technology Funding (2021N5009).