Selecting crackling product based on sensory analysis by different statistical data approaches

Abstract

Cracklings, which is a well-known product in Mexico, are obtained by frying the pork skin. Up to know no attempt to formulate chicken cracklings has been done. Therefore, in order to take advantage of chicken byproducts, during this experiment two different chicken cracklings prototypes were developed and compared with the pork ones. When a food prototype is ready, sensory analysis, which is related on how a food product is appreciated by the human senses must be performed. Which makes the consumers’ acceptance a key for achieving an economical success in the food industry. In this paper four different products are analyzed: pork or chicken crackling, with or without sauce. For this analysis the acceptance of these products was tested by each consumer based on their perception (hedonic scales) with values ranging 1 to 10. In order to understand the distribution of the consumers’ grading, a dimensionality reduction technique based on evolutive algorithms that plot the consumers’ in a 2D-plane based on their grades distances was proposed and compared with PCA. To reinforce this understanding, the distance matrix and the dendogram of hierarchical clustering were used. A Liking Product Landscape is proposed, where the distribution of the product grades and of the consumers are shown in the same graph. The most accepted products are the ones with sauce, in particular the pork crackling product was the most accepted one. © 2017 IEEE