Presentation Juniors Edt

Thank you for being here 4Th student

Sarun Phaosathienpan and Kallayanee Tengpongsathon

Faculty of Agro- Industry , KMITL

All most of this slides come from SPISE2012 http://conferences.hcmut.edu.vn/spise2012/

We love to say thank you for your kindness and nice slides

NEW DESCRIPTIVE METHODS IN FOOD SCIENCE Integrating Sensory Evaluation into Product Development

All most of this slides come from SPISE2012. We love to say thank you for your kindness and nice slides

Contents : Overview

Consumer test (Hedonic)

PCA

Flash Profile

CATA

NAPPING

From : Valentin & Phu , 2012a

Understanding consumer preferences for product


Why doing consumer tests?

Prevent problems by testing products in advance instead of after problems exist

Increase repeat sales, customer loyalty, prevent returns and claims, avoids bad publicity.

From : Valentin & Phu , 2012b

It measures preferences for products or magnitude of like/dislike for a product

Practical 1

A beverage company would like to develop healthy drinks such as orange juices.

The chief R&D officer asked his team to carry out a consumer test in order to develop a product that meets consumer preference

Understanding consumer preferences for orange juices


Practical 1 Understanding consumer preferences for orange juices

Step 1: Prepare the tasting

Step 2: Carry out the test

Pictures from SPISE2012 workshop Pictures from SPISE2012

workshop


Step 3: Key in the data

Pictures from SPISE2012 workshop

Pictures from SPISE2012 workshop


Results

Data from SPISE2012 workshop


3.3

2.2

3.2

2.6 2.4

6.1

4.9

6.2

5.4 5.0

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

Hedonic Scroe of orange juice

Results



LSD test

Results


BOSS, the products are different !!


So what!!?

T^T

Descriptive analysis (DA) From : Valentin & Phu , 2012b

Descriptive analysis is used to describe the sensory characteristics of a product, and to use these characteristics to quantify differences between products

What is descriptive analysis?

Sensory profiles

From: Valentine & Abdi, 2012

4-steps of process: 1. Panel selection

2. Development of a lexicon for appearance, odor,

Flavor, texture, mouth feel and after-taste

3. Training

4. Rating of the products

Classic descriptive analysis

Sensory profiles


What is sensory evaluation?

Sensory evaluation is a scientific technique that uses human senses to evaluate the quality of foods and materials.


Why using sensory evaluation in food science?

Quality control

R&D

Marketing Packaging Sensory evaluation


Sensory evaluation

Products can be evaluated on:

Texture (mouth feel)

Taste of flavor

Appearance or color

Smell or aroma

Hearing

(Review) : Preference mapping

Preference mapping concept

House 1

House 3

People is the same within his/her house

If n = 10 guys. How many houses should have?

House 2

Preference mapping concept

PC1

PC2

PC3

Attributes are correlation within PCi

Sweetness

Bitterness

Fresh Artificial

Vanilla flavor

Liking score

Fruity

Acidic

Sensory Attributes :

Sad

Preference mapping for Food Science

Sensory attributes :

Chemical attributes :

Preference mapping

Adapted from: Husson et al., 2010

PC1

PC2

PC1

PC2

Preference mapping Bi-plot between product positioning and Descriptors

Accurate

Precise

Repeatable

Advantage and inconvenient of conventional descriptive method

BUT Need a long training Time consuming Expensive

Need faster and cheaper Methods with no training


Food companies more demand new faster and cost effective method.

Some new and easy ways to describe, compare and evaluate products and assessors.

New descriptive methods in food science

CATA, Flash profiles, Napping

Verbal-based methods:

Flash Profile & CATA

From: Valentin & Abdi , 2012

Flash profile

Flash Profile (FP) is a sensory descriptive method derived from Free Choice Profiling where each panelist chooses and uses his/her own words to evaluate the whole product set comparatively

From: Valentin & Abdi,2012

Describe rapidly the sensory characteristic of a product set

Flash profile

Product : lager beer

Sapporo Casablanca

Page 24

Carlsberg Tsingtao


Flash profile


Flash profile


Multiple Factor Analysis (MFA) In R Program

FactoMineR Package

Flash profile


CATA or pick any approach

First used in marketing research for studying perception of different brand (Valentine et al., 2012)

Check-All-That-Apply

CATA

From: Valentin & Abdi 2012

Please taste the product in front of you and check, the list below, all the attribute that you consider appropriate to describe the product. You can select as many as attribute you can and you can take as much time as needed

How to perform CATA? Instruction

Code

From: Valentin & Abdi, 2012

To analyze the data 1. Build a data table for each assessor 2. Add the data table 3. Correspondence analysis - CA

How to analyze CATA? 1: selected attribute 0: non selected attribute

CA

Adapted From: Valentin & Abdi, 2012

To analyze CATA with FactoMineR package of R program

One of Similarity-based methods:

Projective mapping(aka Napping)

From: Chollet ,2012

One of the main issues with verbal-based method is heavily on an analytical perception of the products and ability to translate sensations into words. (Valentin et al., 2012)

Why Similarity-based methods?

Similarity-based methods

Sorting task Projective mapping

Projective mapping(aka Napping)

Projective mapping also known as Napping is a Variation over sorting task.

Position the products on the piece of paper so that two similar samples are close

together and two different sample are far one from the

other

From: Chollet, 2012

A Photo. from Fac. agro-Industry, KMITL

Projective mapping

Smell and taste these beers, then make groups according to their similarity.

You can make as many group as you want and group

together as many beers as you want.

Projective mapping

Sweet Fruity

Alcohol Taste of amber Sparkling Coffee odor

Malt Grilled Spicy Sweet

Bitter

Application of Napping

To analyze the data

1. Measure the x , y coordinates of each judge in a table

2. Multiple Factorial Analysis in SensoMineR Package

How to perform Projective Mapping

From: Chollet, 2012

From: Chollet, 2012

How to perform Projective Mapping

References Chollet, S. (2012) Similarity-based methods: Sorting task & Projective mappign (aka Napping). SPISE 2012 :

Taste & Think . 3rd International Symposium, Integrating Sensory Evaluation into Product Development. An Asian Perspective. University of technology, Ho Chi Minh City, Vietnam. July 24-26, 2012.

Husson, F., S. Le & P. Jrme,. (2011) Exploratory multivariate analysis by Example using R. CRC press. Husson, F. & S. Le. (2010) FactoMineR: Multivariate Exploratory data analysis and Data Mining with R. R.

package version 1.19. Available from: URL: http:// CRAN. R- project.org/package=FactoMineR R Development Core Team. 2010. R: A language and environment for statistical computing. R Foundation for

Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0.Available from URL: http://www.r-project.org

Valentin, D. & P. V. Phu,. (2012a) Consumer testing. SPISE 2012 : Taste & Think . 3rd International Symposium, Integrating Sensory Evaluation into Product Development. An Asian Perspective. University of technology, Ho Chi Minh City, Vietnam. July 24-26, 2012

Valentin, D. & P. V. Phu,. (2012b) Overview of sensory evaluation and its applications. SPISE 2012 : Taste & Think . 3rd International Symposium, Integrating Sensory Evaluation into Product Development. An Asian Perspective. University of technology, Ho Chi Minh City, Vietnam. July 24-26, 2012.

Valentin, D., S. Chollet, M. Leliver & H. Abdi,. (2012) Quick and dirty but still pretty good: a review of new descriptive method in food science. International Journal of Food Science and Technology.

Valentin, D. & H. Abdi, (2012) Verbal-based methods: Flash profile & CATA. SPISE 2012 : Taste & Think . 3rd International Symposium, Integrating Sensory Evaluation into Product Development. An Asian Perspective. University of technology, Ho Chi Minh City, Vietnam. July 24-26, 2012.

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