Conventional sensory profiling

In this survey we focused on six methods conventional sensory profiling. Free Choice Profiling, Hash Profiling, CATA, Repertory Grid and Free Sorting. The questionnaire was built in three dimensions in order to assess, for each method, the level of use and of knowledge, the expected output when a method is used (in terms of quality, innovation, etc.), and the main strengths and weaknesses that were perceived in each case. 

The most striking result from this study is perhaps the fact that it took less than 3h to complete the whole process, from sample preparation to data analysis. Results are consistent and compared fairly well to a conventional sensory profile (quantitative descriptive analysis (QDA )-like) conducted with another group of students (data not... 

With FMS (as with projective mapping), assessors are allowed to separate samples on the bases of hunches or feelings not easily expressed. Focus is kept on the sample rather than a predefined set of attributes, and assessors are not asked to describe then-actions until after the sorting. Compared to conventional sensory profiling where a vocabulary needs to be established before sample evaluation, the FMS approach is said to be more holistic and individual. This is an advantage when applied to conceptual tasks (Fig. 8.3.), as distinct from the more constructual tasks that focus on specific sample attributes. 

From our point of view. Flash Profile cannot replace conventional descriptive analysis methodologies. As it does not allow a precise quantification of the intensity of sensory attributes, it does not seem suitable for tracking in time the evolution of the sensory properties of products. However, Flash Profile can be seen as a powerful complement or alternative to conventional sensory profiling techniques at the earlier stages of product development, for sensory benchmarking or rapid characterization of a product set. Its rapidity also offers an incontestable advantage over conventional methods in a business environment. 

Another strength compared to conventional profiling methods is the possible adaptation of rapid sensory profiling techniques so that they can be used with consumers. Sensory and consumer scientists, as well as market researchers, have quickly realized the advantage of these methods. Accordingly, most of these methods allow for better taking into account inter-individual differences in human perceptions. 

When DA applies to quality control goals, it is frequent to witness sensory panels that are constituted of plant workers. In most cases, the techniques that are implemented are variations of conventional profiling techniques. However, these techniques do not allow fully taking into account the expertise that the plant operators may have developed. Unfortunately, the possibility to rely on such expertise to improve quality control has been barely considered so far (loannou et al, 2002). 

Besides, respondents have reported that the statistical techniques that would be needed to analyse new types of data are not always available in standard sensory acquisition software (although this situation is changing rapidly). As a consequence, practitioners need to use some statistical software, sometimes with the assistance of well-trained people. Even when routines are available, the data analysis is often seen as more complex than for conventional profiling and thus prevents the use of rapid methods. 

Besides, the sensory descriptions provided by these methods are usually not as accurate as those obtained by conventional profiling, though this criterion may not always apply (e.g. in the case of Free Sorting with consumers). This lower accuracy is notably linked to the more difficult interpretation when using free vocabulary. A direct consequence of this is the need for more advanced data analysis techniques. Eventually, the translation of sensory properties into technical product variables may be more difficult. 

Dairou, V., Sieffermann, J. M., Priez, A. and Danzart, M. (2003). Sensory evaluation of car brake systems. The use of flash Profile as a preliminary study before a conventional profile. SAE World Congress, Detroit, MI. 

Delarue, J. and Sieffermann, J.M. (2004). Sensory mapping using flash profile. Comparison with a conventional descriptive method for the evaluation of the flavor of fruit dairy products. Food Qual. Prefer., 15, 383-392. 

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