This presentation is related to the basic introduction of sensory evaluation and the different software programs used in sensory analysis.

1. Sensory Evaluation Statistical Tools Applied in
Sensory Evaluation

2. Sensory Evaluation

3. Definition
֍The science of sensory evaluation studies,
examines, and evaluates consumers' responses to
goods as they are experienced via their senses.
֍OR;
֍The approach used by scientists to evaluate the
sensory qualities of food using perceptions from the
five senses.

4. Text
Importance of Sensory Testing's
 The relevance of the food's sensory
qualities in acceptance or rejection of the
food has long been acknowledged, hence
sensory testing is highly advised for.
 The evaluation of a product's
marketability and the precise listing of its
features (e.g. profile testing).
 Analysis of storage stability (examination
of the best-before date, MHD).
 Product placement and comparison
 Addressing complaints (complaint
processing)
 Modifications to the product and the
development of novel products

5. Sensory Evaluation By Human Senses
℺ Food sensory testing involves the
use of the human senses in the
objective evaluation of food
products.
℺ Characteristics such as
appearance, texture, odor and
taste are analyzed by trained
testers to assess product quality or
derive opportunities for
improvement.

6. Statistical Tools in Sensory Evaluation
⁍ Statistics and sensory analysis provide
useful tools for determining a product's
attributes and consumer acceptability.
⁍ Products for statistical analysis are
specialised programmes made to enable
users to carry out intricate statistical
analysis.
⁍ These services often offer resources for
categorizing, interpreting, and presenting
particular data sets.

7. Statistical Tools
⁜ Since statistics may be used in so many different fields, it is not surprising that there are
few commercial statistical software created exclusively for sensory scientists.
⁜ The statistician plays a crucial role in the development of sensory analysis, both in terms
of ensuring that methods are applied correctly and in terms of researching, developing,
and assessing novel statistical methodology to guarantee the advancement of this science.
⁜ The more versatile and general statistical packages that have been developed are crucial
in this regard.
⁜ There are 8 common statistical tools employed for sensory evaluation purposes. Few of
them are of great importance which are discussed further in the topic.
⌂ These are; SENPAK, SENSTAT, PROCRUSTES-PC, MINITAB, GENSTAT, BMDP,
SPSS and SAS, MDS(X), UNSCRAMBLER.

8. 1. SENPAK
◊ Reading Scientific Services Ltd. markets SENPAK as a crucial component of their
TASTE data gathering system and has built it particularly for the processing of
traditional profile data.
◊ The data entry module supports keyboard, digitizer, and TASTE input. Data handling
is difficult at the moment because there is only one column of integers in the data
format.
◊ This module is currently being developed to be put on a lotus spreadsheet-type
format, which should considerably improve this component of the package.

9. 2. SENSTAT
※The early modules of SENSTAT and SENPAK are strikingly similar.
※Data entry. SENSTAT connects to the PSA data gathering system, which is offered
by OP&P.
※The output of ANOVA, PCA, and star diagrams is comparable to that of SENPAK.
※ The internal programme is reasonably simple to use for beginners, however sensory
scientists are more likely to use just the % variation values and the plot that follows.
※ SENSTAT is offered by Sensory Research Laboratories Ltd. for f550 and works
with Apple, OSBOURNE, and IBM compatibles as well as MIDAS.

10. 3. MINITAB
⁘ A universal statistical package called MINITAB is particularly user-friendly and
simple to use for handling or manipulating data for data analysis.
⁘ It can be used with an IBM microcomputer or a mainframe.
⁘ The majority of the fundamental instruments needed for routine tests are offered,
despite not being developed for the sensory scientist.
⁘ Plots and histograms, t-tests, variance analysis, regression analysis, and other
statistical aspects

11. 4. GENSTAT
ῠ For the statistician, GENSTAT offers an extremely potent general purpose statistical
programming language that may be used to create programmes for the most
sophisticated techniques used in sensory analysis.
ῠ It can only be operated on a mainframe.
 Conclusion: In sensory evaluation, individuals use their senses as opposed to
merely consuming food without appreciating the experience. There are various
benefits to developing one's senses, particularly in relation to a deeper appreciation
for the foods and drinks we consume. Moreover, these statistical tools plays crucial
role in statistical analysis of sensory data and evaluate data sets for grading
purposes.

12. References
1. Sensory evaluation_CH03.pdf by Sung Eun, Choi, Ph D, RD
consult the references given in book for more keep view.
2. Google Images.
3. Kemp, S. E., & IFST PFSG committee. (2008). Application of sensory evaluation in
food research. International journal of food science & technology, 43(9), 1507-1511.
4. Lawless, H. T., & Heymann, H. (2010). Sensory evaluation of food: principles and
practices (Vol. 2). New York: Springer.

13. References
5. Sharif, M. K., Butt, M. S., Sharif, H. R., & Nasir, M. (2017). Sensory evaluation and
consumer acceptability. Handbook of food science and technology, 361-386.
6. Ruiz-Capillas, C., & Herrero, A. M. (2021). Sensory analysis and consumer research in
new product development. Foods, 10(3), 582.
7. Rousseau, B. (2004). Sensory evaluation techniques. FOOD SCIENCE AND
TECHNOLOGY-NEW YORK-MARCEL DEKKER-, 138(1), 21.
8. Ares, G. (2015). Methodological challenges in sensory characterization. Current
Opinion in Food Science, 3, 1-5.