ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Infectious Agents and Disease
Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1686382
This article is part of the Research TopicRapid and Efficient Analytical Technologies for Pathogen DetectionView all 21 articles
Development of a smartphone camera-based chemiluminescent lateral flow immunoassay for detecting African swine fever virus antibodies
Provisionally accepted- 1Institute for Animal Health, Henan Academy of Agricultural Sciences, Zhengzhou, China
- 2Longhu Laboratory of Advanced Immunology, Zhengzhou, China
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African swine fever (ASF) is a highly contagious viral disease threatening global swine industries. Rapid and accurate detection of ASF virus (ASFV) antibodies is crucial for disease surveillance and control. The gold lateral flow immunoassay (GLFIA) is cost-effective and has been successfully applied in rapid on-site detection of ASFV. However, its sensitivity is relatively low. To enhance the detection sensitivity and accuracy while retaining convenience, we developed a chemiluminescent lateral flow immunoassay (CLFIA) for detecting ASFV antibodies based on the p72 trimer protein, which can immediately read the chemiluminescent signal through the camera of a smartphone. Compared with GLFIA and commercial enzyme-linked immunosorbent assay (ELISA), its sensitivity was improved by at least two orders of magnitude and nine orders of magnitude respectively. Additionally, CLFIA shows no cross-reaction with antibodies from common swine disease viruses, and the detection results of 65 clinical samples have a 93.8% coincidence rate with those of commercial ELISA kits. This research successfully addressed the issue that traditional chemiluminescent detection relies on specialized instruments, providing a new technical approach for the highly sensitive and rapid detection of ASFV, and effectively promoting the development and application of CLFIA technology.
Keywords: African swine fevervirus (ASFV) antibodies, Chemiluminescent, Lateralflow immunoassay, smartphone camera, On-site testing
Received: 21 Aug 2025; Accepted: 21 Oct 2025.
Copyright: © 2025 Sun, Yang, Xing, Fan, Wang, Li, Guo, Qiao and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yaning Sun, happylsht@163.com
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