Scientific Achievement
Developed an efficient low-cost method to detect protease (enzyme) activity in milk that is 25 times better than commercial protease fluorescent detection.
Significance and Impact
The ability to predict protease activity in milk is essential for its safe use. The simple casein-coated acoustic sensor developed in our work allows very rapid and cost-effective sub-nanomolar detection and classification of protease activity in milk.
Research Details
– The plasmin is a bovine milk protease and its activity controls milk texture and flavor.
– Conventional methods to detect plasmin are time consuming and expensive.
– Integration of machine learning to analyze casein –enzyme reaction enabled a high sensitivity low cost technique for plasmin detection.
M. Tatarko, E. S. Muckley, V. Subjakova, M. Goswami, B. G. Sumpter, T. Hianik, and I. N. Ivanov, "Machine learning enabled acoustic detection of sub-nanomolar concentration of trypsin and plasmin in solution," Sensors & Actuators: B. Chem. 272, 282 (2018). DOI: 10.1016/j.snb.2018.05.100
