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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lawless, Harry T. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Food Science Text Series,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.