Laboratory exercises for sensory evaluation
From the co-author of Sensory Evaluation of Foods, Principles and Practices, this lab manual is a fitting accompaniment to that text in an undergraduate or graduate course in sensory evaluation of foods. The manual includes introductory information, such as report formats (both academic and industr...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2013. |
| Serie: | Food Science Text Series
|
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Laboratory exercises for sensory evaluation, Harry T. Lawless, New York, Springer, 2013, 1 vol. (xv-151 p.), 978-1-4614-5682-7 |
Sommario:
- Section A. Introductory Material and General Instructions 1. Introduction for Students 2. Introduction for Instructors and Teaching Assistants Section B. Eleven Laboratory Exercises in Sensory Evaluation 3. Screening panelists using simple sensory tests.- 4. Comparison of discrimination test methods.- 5. Forced choice thresholds using an ascending method of limits.- 6. Signal Detection Theory and the Effect of Criterion on Response.- 7. Sweetness of fructose and sucrose determined by different scaling methods.- 8. Time-intensity scaling.- 9. Flavor Profile Method.- 10. Introduction to Descriptive Analysis.- 11. Use of Reference Standard in Panel Training.- 12. Acceptance and Preference Testing.- 13. Optimization by ad libitum Mixing and the Just-About-Right Scale.- Section C: Brief Exercises and Group Projects.- 14. Group Exercise in Descriptive Analysis.- 15. Brief exercises Section D. Statistical Problem Sets for Sensory Evaluation Chapter 16: Sample Problem Sets for Statistics.- Exercise 1. Means, standard deviations, standard errors.- Exercise 2. Binomial-based statistics for discrimination tests Exercise 3: The t-tests.- Exercise 4. Simple Correlation.- Exercise 5. One and two-way ANOVA.- Exercise 6. Planned comparisons of means following ANOVA.- Exercise 7. Rank order tests Appendix. Sample data sets and open tables for calculations