In order to identify the best alternatives for each of these products, we defined a precise scientific approach based on statistical tools and divided into three phases: Compilation of available sensory and physico-chemical data Processing of existing data Gathering of additional sensory data and selection of alternatives from our portfolio.

Based on our physico-chemical and sensory database, we first selected the most discriminating, pertinent criteria (spreadability, penetration, melting point, viscosity, etc.) for identifying alternatives.

To this end, an Analysis of Variance (ANOVA) was conducted to confirm the discriminating character of these parameters.

Secondly, the data were subjected to statistical processing for the purpose of screening the ingredients. The resulting proximity matrices made it possible to identify the esters from our range whose properties most closely correspond to those of the products to be substituted.

Lastly, in order to ensure the precision of our sensory data, each potential alternative was evaluated in direct comparison with the product to be substituted.

The statistical processing of the data allowed us to clearly identify the differences among the benchmarks and find the best alternatives made by STEARINERIE DUBOIS.