A comprehensive review of lateral flow assays in rapid livestock and poultrydisease diagnostics
Keywords:
User-friendly identification; livestock; poultry; animal; zoonotic diseases; sustainableAbstract
Lateral flow assays (LFAs) are a vital tool for rapid, simple, and low-cost disease detection in poultry and livestock. LFAs became a widely used approach in veterinary diagnostics for better animal health management. In this study, we thoroughly highlight the concepts, recent developments, and applications of LFAs in the expedited diagnosis of livestock and poultry diseases. LFAs are portable, require minimal sample preparation, and can be used for point-of-care testing, making them ideal for resource-limited field settings. In this article, we examined various types of LFAs, including multiplex platforms, nucleic acid assays, and antigen-antibody-based detection approaches. We also emphasized their significance in identifying infections that threaten animal welfare, caused by viruses, bacteria, and parasites. Recent advancements in LFA have significantly improved sensitivity and specificity, incorporating quantitative analysis, smartphone-compatible readout devices, and nanomaterials. This paper also addresses problems with false positives, the limited number of multiplexing situations it can handle at a time, and the need for enhanced stability across a wide range of environmental conditions. Furthermore, they investigated the possibility of LFAs satisfying the growing need for rapid disease diagnosis and surveillance, particularly in light of emerging zoonotic diseases. This review emphasizes the vital role of LFAs in improving diagnostics for livestock and poultry diseases by summarizing current trends and identifying research needs, thereby supporting global animal health and sustainable agricultural practices.
J. Adv. Vet. Anim. Res., 13(1): 248-307, March 2026
10
25
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Sajedul Hayat, Md Enamul Haque, Mohammad Sadekuzzaman, Susmita Karmakar, Md Ariful Islam, Muhammud Tofazzal Hossain, Md Alimul Islam

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).