Institute of Chemistry, University of Tartu, Ravila 14a, Tartu 50411, Estonia.
Institute of Chemistry, University of Tartu, Ravila 14a, Tartu 50411, Estonia.
Talanta. 2018 Feb 1;178:949-954. doi: 10.1016/j.talanta.2017.10.043. Epub 2017 Oct 22.
Mastitis, an inflammation of the mammary gland and udder tissue, is the major endemic disease of dairy cattle. In addition to causing health problems to the animals, mastitis leads to the reduction of milk production and quality, representing a significant economic burden for farmers. To enable timely treatment of infected animals with pathogen-specific antibiotics, the development of automated analytical methods for rapid on-site identification and quantification of mastitis-causing pathogens in milk is particularly important. An immunosensing system for multiplex detection of the two most common mastitis-causing pathogens Staphylococcus aureus and Escherichia coli is proposed in the present study. This immunosensor combines Bead Injection Analysis (BIA), attachment of pathogens onto renewable micro-column, biorecognition of bound pathogens by specific antibodies, conjugated with different fluorescence markers and the measurement of fluorescence signals. The analysis takes 20min and exhibits detection limits of < 50 CFU mL for E. coli and 100 CFU mL for S. aureus in milk. The applicability of the immunosensor was demonstrated by analyzing milk samples from cows, who were suffering from acute clinical mastitis.
乳腺炎，即乳腺和乳房组织的炎症，是奶牛的主要地方病。除了给动物带来健康问题外，乳腺炎还会导致产奶量和质量下降，给农民带来巨大的经济负担。为了能够及时对感染的动物使用针对病原体的抗生素，开发自动化分析方法，以便快速现场鉴定和定量牛奶中的乳腺炎病原体，这一点尤为重要。本研究提出了一种用于同时检测两种最常见乳腺炎病原体金黄色葡萄球菌和大肠杆菌的免疫传感系统。该免疫传感器结合了珠注射分析（BIA）、病原体附着在可再生微柱上、特异性抗体对结合的病原体的生物识别、与不同荧光标记物偶联以及荧光信号的测量。该分析耗时 20 分钟，在牛奶中的检测限分别为 < 50 CFU/mL 的大肠杆菌和 100 CFU/mL 的金黄色葡萄球菌。该免疫传感器的适用性通过分析患有急性临床乳腺炎的奶牛的牛奶样本得到了证明。
