Abstract Production of reduced fat cheeses often requires modification of the manufacturing procedure using fat substitutes such as inulin, in order to achieve acceptable sensory properties. Nowadays the use of optical sensors in cheese making justify developing prediction algorithms for coagulation and syneresis parameters in milk gels with inulin with the goal of improve cheese yield, quality and homogeneity. A randomized factorial design was used to test the effect of inulin concentration (0%, 3%, and 6% w/w), temperature (27, 32, and 37 C), and fat (<0.2%, and 1.5% w/w) on light backscatter parameters typically used for predicting significant coagulation and syneresis indexes. The coagulation process was monitored using near infrared spectrometry, small amplitude oscillatory rheometry and visual coagulation indexes. The extent and kinetics of syneresis was evaluated by volumetric methods. Prediction models with one, two and three-parameter were determined for the whey drainage kinetic rate constant (k), curd yield (cy), clotting time (tclot), visual cutting time (tcut), as well as the rheologically-determined gelation (tG′1) and cutting times (tG′30). The results demonstrated that it is possible to obtain models for the prediction of coagulation and syneresis parameters in milk gels when inulin is added as a fat substitute using a fiber optic light backscatter sensor.
|Original language||American English|
|Number of pages||7|
|Journal||Journal of Food Engineering|
|Publication status||Published - Jul 2015|
- Cutting time
- NIR light backscatter