In food product design, it is important to know to what extent
product composition can be modified without being noticed by
consumers. This is of critical importance in the formulation of
reduced-fat products with sensory properties that match those of
their full-fat counterparts. Indeed, it is still a major challenge for
the food industry to design low-fat foods that are liked and therefore,
can contribute to the reduced consumption of saturated fat
and the associated risk of chronic diseases, such as obesity, metabolic
syndrome and diabetes. In this respect, knowledges on the
detection and difference thresholds for fat can provide a useful
decision basis for food manufacturers