Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, 50200, Thailand.
Department of Mechatronics Engineering, College of Integrated Science and Technology, Rajamangala University of Technology Lanna, Chiang Mai, 50220, Thailand.
Sci Rep. 2023 Apr 13;13(1):6041. doi: 10.1038/s41598-023-33258-0.
Mastitis is a disease that directly affects the quantity and quality of milk produced by dairy cows, which can have a negative impact on the income generated from selling the milk. Severe inflammation caused by this mammary disease can result in up to 1 × 10 white blood cells per milliliter of cow milk. Currently, the California mastitis test is a popular chemical inspection test, but its error rate of over 40% is a significant factor in the ongoing spread of mastitis. In this study, a new microfluidic device was designed and fabricated to identify normal, sub-clinical, and clinical mastitis. This portable device allows for precise and analysis of results within a second. The device was designed to screen somatic cells and a staining process was added to identify somatic cells using single-cell process analysis. The fluorescence principle was used to identify the infection status of the milk, which was analyzed using a mini-spectrometer. The accuracy of the device was tested, and it was found to determine the infection status with 95% accuracy, compared to the accuracy obtained using the Fossomatic machine. By introducing this new microfluidic device, it is believed that the spread of mastitis in dairy cows can be significantly reduced, leading to higher quality and more profitable milk production.
乳腺炎是一种直接影响奶牛产奶量和质量的疾病，这可能会对销售牛奶所产生的收入产生负面影响。这种乳腺疾病引起的严重炎症可导致每毫升牛奶中白细胞多达 1×10。目前，加利福尼亚乳腺炎测试是一种流行的化学检查测试，但它的错误率超过 40%是乳腺炎持续传播的一个重要因素。在这项研究中，设计并制造了一种新的微流控装置来识别正常、亚临床和临床乳腺炎。这种便携式设备可在一秒内进行精确和分析。该设备旨在筛选体细胞，并添加染色过程，使用单细胞过程分析来识别体细胞。使用荧光原理来识别牛奶的感染状态，使用微型光谱仪进行分析。该设备的准确性已经过测试，结果发现，与 Fossomatic 机器获得的准确性相比，该设备的感染状态的准确率达到了 95%。通过引入这种新的微流控装置，相信可以显著减少奶牛乳腺炎的传播，从而生产出更高质量、更有利可图的牛奶。
