乳腺炎
疾病
生物技术
鉴定(生物学)
生物
产奶量
计算生物学
医学
微生物学
内科学
动物科学
植物
作者
Caroline Viguier,Sushrut Arora,Niamh Gilmartin,Katherine Welbeck,Richard O’Kennedy
标识
DOI:10.1016/j.tibtech.2009.05.004
摘要
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-beta-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.
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