High-Accuracy Serodiagnosis of African Swine Fever Using P72 and P30-Based Lateral Flow Assays: A Validation Study with Field Samples in Thailand
African Swine Fever (ASF) control is severely hampered by the reliance on slow, laboratory-bound diagnostics. While rapid, field-deployable lateral flow assays (LFAs) are urgently needed, the comparative performance of key single-antigen targets remains poorly characterized. This study aimed to develop and systematically evaluate the diagnostic performance of three in-house single-antigen LFAs targeting ASF virus P30, P54, and P72, using swine field samples from Thailand, including a panel of 143 quantitative polymerase chain reaction-negative swine serum samples. The performance of each LFA was compared against a commercial multi-antigen (P32/P62/P72) indirect ELISA, which served as the reference standard, classifying 64 samples as positive and 79 as negative. The P72-based LFA demonstrated perfect diagnostic performance (100% sensitivity, 100% specificity) and perfect agreement (κ = 1.0) with the enzyme-linked immunosorbent assay (ELISA). Similarly, the P30 LFA demonstrated high performance (100% sensitivity, 98.7% specificity) with 'Almost Perfect' agreement (κ = 0.9859). In contrast, the P54 LFA was unsuitable, achieving 100% sensitivity but unacceptably low specificity (88.6%) due to a high rate of false positives. Overall, the single-antigen P72 and P30 LFAs demonstrated excellent concordance with the multi-antigen ELISA, supporting their reliable for detecting antibodies against ASFV. Although these assays do not replace molecular methods for acute infection detection, they represent valuable complementary tools for serosurveillance.
Authors
- Supphathat Wutthiwitthayaphong (ORCID: https://orcid.org/0009-0006-2595-2384)
- Nitipon Srionrod
- Sakchai Ruenphet (ORCID: https://orcid.org/0000-0003-2345-119X)
- Teera Nipakornpun
Institutions
- Vidant Medical Center (US)
- Mahanakorn University of Technology (TH)
Publication Details
- Journal
- Veterinary Sciences
- Published
- 2025-12-19
- DOI
- https://doi.org/10.3390/vetsci13010004
- Primary Topic
- Animal Disease Management and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Mahanakorn University of Technology