An optimized sandwich ELISA for quantitative detection of fowl adenovirus serotype 4 (FAdV-4) in chickens
Year: 2025
Type: article
Abstract: M, which recognized the knob and tail domain of fiber 1 by docking simulation, respectively. Next, sandwich ELISA for FAdV-4 was optimized, demonstrating excellent specificity, repeatability and reproducibility. The assay could detect as low as 0.532 ng/mL fiber 1 protein. For FAdV-4 diagnosis in clinical sera, the results of ELISA showed 97.44 % consistency with qPCR. Additionally, viral antigen levels in chick tissues determined by ELISA mirrored the viral loads by qPCR. The FAdV-4 kinetics in chicks quantified by ELISA and qPCR showed high consistency. In conclusion, we successfully developed a sensitive and specific ELISA for FAdV-4 diagnosis and quantification, offering a potential diagnostic tool in veterinary clinic.
Source: Poultry Science
Authors: Huimin Ma, Yuhang Zhou, Shipeng Wang, Xiangyu Xie, Ruiji Chen, Qi Zheng, Lisha Zha, Xinyue Chang
Institutions: Anhui Agricultural University, Hunan University
Language: English
Subfield: Animal Science and Zoology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,600
Awards: G1490849300, G3299269777
OpenAlex ID: W4417279003