JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 312
Type: Contributed
Date/Time: Tuesday, August 6, 2013 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract - #310007
Title: Statistical Sampling for Masking Saltiness and Enhancing Sweetness
Author(s): Shankang Qu*+ and Laura Nattress and Winsome Johnson and Robert Saunders
Companies: PepsiCo and PepsiCo and PepsiCo and PepsiCo
Keywords: Sensory ; Masker ; Experimental Design ; Panelist ; Ranking
Abstract:

A new drink formula, designed for athletes, contains a higher concentration of electrolytes than the regular drink product. Recent research demonstrates that a new carbohydrate blend may be more beneficial to athletes' endurance. Product development was tasked with optimizing the formula with the recommended blend. Additionally, optimization was required to reduce the salty taste that results from the higher electrolyte content. The primary objective was to assess the technical feasibility to decrease and mask salty taste intensity of the experimental formula. The secondary objective was to assess the technical feasibility to increase sweet taste intensity. A multi-stage designed experiment for more in-depth evaluations with three blinded controls within runs was carried out. The controls were control (100% salt concentration) and two benchmark samples: 75%/50% salt concentrations. The sample was 100% salt concentration plus masker. Sensory panelists were screened for their salty/sweet taste acuity and were trained to use the ranking test method. The optimal combination of the modulators reducing the intensity of salty taste while enhancing sweetness was successfully identified.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.