Accurate supervision of animal health and livestock management have a high impact on the productivity of meat and dairy industry. Thus, the development of Point-of-care (POC) diagnostic devices is highly demanded to bring the accuracy of molecular diagnosis into the farm. Lateral flow assay (LFA) is a popular POC test thanks to its user-friendly, time- and cost-effective design. Gold nanoparticles (AuNPs) have been widely used as LFA labels by virtue of their plasmonic properties, which allow for naked-eye assessment of the test result. Herein, we developed two independent lateral flow immunoassays to enhance the ability of farmers and veterinaries to monitor two relevant veterinary parameters in cattle farming. The first test is a competitive immunoassay, to detect the level of progesterone. In the exact time window of bovine estrous, which is the optimal time for a successful insemination, the level of progesterone in blood is lower than 2 ng/mL. On the other side, bovine mastitis is the inflammation of the udder due to infection or trauma. It is a disease with one of the highest economic impacts on the dairy industry. Hence, the second device classifies udder health in three levels: healthy, subclinical mastitis, and clinical mastitis. The test is based on a multiplexing strategy, targeting two biomarkers present in milk: haptoglobin and bovine immunoglobulin G. Haptoglobin is an acute phase-protein, and its concentration in milk increases hours after infection, which makes it suitable as early biomarker. Immunoglobulin G is a convenient late biomarker, because its concentration increases during the secondary inflammatory stage of the disease. Both in the devices were validated with their respective biological matrices. Finally, to assess the two devices’ performances, an extensive on-farm validation is underway with real cow’s blood and milk samples.

Lateral flow assays for on-farm bovine veterinary monitoring

Helena Torne Morato;Pier Paolo Pompa
2023-01-01

Abstract

Accurate supervision of animal health and livestock management have a high impact on the productivity of meat and dairy industry. Thus, the development of Point-of-care (POC) diagnostic devices is highly demanded to bring the accuracy of molecular diagnosis into the farm. Lateral flow assay (LFA) is a popular POC test thanks to its user-friendly, time- and cost-effective design. Gold nanoparticles (AuNPs) have been widely used as LFA labels by virtue of their plasmonic properties, which allow for naked-eye assessment of the test result. Herein, we developed two independent lateral flow immunoassays to enhance the ability of farmers and veterinaries to monitor two relevant veterinary parameters in cattle farming. The first test is a competitive immunoassay, to detect the level of progesterone. In the exact time window of bovine estrous, which is the optimal time for a successful insemination, the level of progesterone in blood is lower than 2 ng/mL. On the other side, bovine mastitis is the inflammation of the udder due to infection or trauma. It is a disease with one of the highest economic impacts on the dairy industry. Hence, the second device classifies udder health in three levels: healthy, subclinical mastitis, and clinical mastitis. The test is based on a multiplexing strategy, targeting two biomarkers present in milk: haptoglobin and bovine immunoglobulin G. Haptoglobin is an acute phase-protein, and its concentration in milk increases hours after infection, which makes it suitable as early biomarker. Immunoglobulin G is a convenient late biomarker, because its concentration increases during the secondary inflammatory stage of the disease. Both in the devices were validated with their respective biological matrices. Finally, to assess the two devices’ performances, an extensive on-farm validation is underway with real cow’s blood and milk samples.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1150519
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact