Title: Biosensors And Markers For Early Detection Of Mastitis
Authors: Ergashev Bekzod
Volume: 9
Issue: 7
Pages: 29-31
Publication Date: 2025/07/28
Abstract:
Mastitis is one of the most common inflammatory diseases in dairy animals, particularly in cows. Early detection is crucial to maintaining milk productivity, reducing the use of antibiotics, and preventing economic losses. Traditional diagnostic methods, such as somatic cell count and observation of clinical signs, often detect the disease at a later stage. In recent years, the use of biosensor technologies and inflammation-related biomarkers has emerged as an effective tool for identifying mastitis at its earliest stages. This paper explores the diagnostic potential of biomarkers such as IL-6, TNF-?, serum amyloid A (SAA), and haptoglobin in milk, using biosensors for rapid and accurate detection. Experimental results demonstrate that the developed electrochemical biosensors were capable of detecting inflammatory markers in a short period with high sensitivity and specificity. A strong correlation between ELISA-measured marker levels and biosensor readings confirms the reliability of this approach. The study highlights the feasibility of integrating biosensors into dairy herd management systems to enable real-time monitoring and early warning mechanisms during milking processes. Implementing such biosensing platforms can contribute significantly to preserving animal health, enhancing milk quality, and advancing precision veterinary diagnostics. Ultimately, this approach aligns with sustainable agriculture practices by minimizing disease-related losses and optimizing resource use.