Mastitis detection: current trends and future perspectives

Caroline Viguier, Sushrut Arora, Niamh Gilmartin, Katherine Welbeck, Richard O'Kennedy

Research output: Contribution to journalReview articlepeer-review

Abstract

Bovine mastitis, the most significant disease of dairy herds, has huge effects on farm economics due to reduction in milk production and treatment costs. Traditionally, methods of detection have included estimation of somatic cell counts, an indication of inflammation, measurement of biomarkers associated with the onset of the disease (e.g. the enzymes N-acetyl-β-D-glucosaminidase and lactate dehydrogenase) and identification of the causative microorganisms, which often involves culturing methods. These methods have their limitations and there is a need for new rapid, sensitive and reliable assays. Recently, significant advances in the identification of nucleic acid markers and other novel biomarkers and the development of sensor-based platforms have taken place. These novel strategies have shown promise, and their advantages over the conventional tests are discussed.

Original languageEnglish
Pages (from-to)486-493
Number of pages8
JournalTrends in Biotechnology
Volume27
Issue number8
DOIs
Publication statusPublished - Aug 2009

Fingerprint

Dive into the research topics of 'Mastitis detection: current trends and future perspectives'. Together they form a unique fingerprint.

Cite this