SubjectsSubjects(version: 954)
Course, academic year 2015/2016
  
Special sensory analysis - D323028
Title: Speciální senzorická analýza
Guaranteed by: Department of Food Analysis and Nutrition (323)
Faculty: Faculty of Food and Biochemical Technology
Actual: from 2012 to 2015
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 0/0, other [HT]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Level:  
Note: course is intended for doctoral students only
you can enroll for the course in winter and in summer semester
Guarantor: Panovská Zdeňka doc. Dr. Ing.
Míková Kamila doc. Ing. CSc.
Examination dates   Schedule   
Annotation -
Special sensory analysis will deepen the knowledges of the basic course, but will focus more on practical use, evaluation and work panel, evaluating data and new findings.
Last update: Panovská Zdeňka (31.03.2014)
Aim of the course -

Student will be able to:

Design a sensory evaluation

Select the method

Prepare evaluation panel

Process evaluation results

Prepare a final report on the evaluation

Last update: Panovská Zdeňka (31.03.2014)
Literature -

teacherś presentation and book

1. Lawless, H.T. and Heymann, H. 1998. Sensory Evaluation of

Food: Principles and Practices, Chapman & Hall, NY

Last update: Panovská Zdeňka (31.03.2014)
Syllabus -

1. Defining a sensory problem

2. Perception of sensory modalities

3. Sensory evaluation in quality control

4. Overall difference testing

5. Discriminative testing

6. Attribute difference testing

7. Threshold determination

8. Training of assessors

9. Discriminative testing of dairy product

10.Discriminative testing of meat product

10.Discriminative testing of bakery product

11. Sensory evaluation of packaging materials

12. Consumer testing: Quantitative and Qualitative methods

13. Relating instrumental to sensory data

14. St1atistical analysis of data

Exam I (1 hr)

Lecture 4:

Lecture 5: Attribute difference testing

Lecture 6: Threshold determination

Lecture 7: Developing a sensory evaluation program

Exam II (1 hr)

Lecture 8: Descriptive analysis

Lecture 9: Con

EXAM III (1hr)

Lecture 10:

Lecture 11:

Lecture 13: Statistical Designs

Last update: Panovská Zdeňka (31.03.2014)
Registration requirements -

there are none

Last update: Panovská Zdeňka (31.03.2014)
Course completion requirements -

Oral exam and practical assessment

Last update: Panovská Zdeňka (31.03.2014)
Coursework assessment
Form Significance
Regular attendance 30
Report from individual projects 20
Oral examination 50

 
VŠCHT Praha