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Evaluation of bottled nutritive drinks using a taste sensor
Masumi Kataoka1, Yohko Miyanaga, Eriko Tsuji
1School of Pharmaceutical Sciences, Mukogawa Women's University, 11-68 Koshien 9-Bancho, Nishinomiya 663-8179, Japan.
International Journal of Pharmaceutics
|July 6, 2004
Summary
This study evaluated bottled nutritive drinks using human taste tests and a taste sensor. A taste sensor effectively predicted key palatability factors like sourness, bitterness, and pungency in drinks.
Area of Science:
- Food Science
- Sensory Analysis
- Consumer Product Evaluation
Background:
- Assessing the palatability of bottled nutritive drinks is crucial for market success.
- Human gustatory sensation tests provide detailed sensory data but can be subjective and resource-intensive.
- Objective methods for evaluating drink palatability are needed to complement human sensory panels.
Purpose of the Study:
- To evaluate the taste profiles of 20 commercially available bottled nutritive drinks in Japan.
- To compare human gustatory sensation test results with data obtained from a multi-channel taste sensor.
- To identify critical factors influencing the overall palatability of these drinks.
Main Methods:
- Human volunteers scored drinks on basic tastes, overall palatability, and nine palatability components.
- A multi-channel taste sensor was used to measure taste intensities.
- Statistical analysis (correlation) was performed to link sensory scores and sensor data.
Main Results:
- Overall palatability positively correlated with 'sourness', 'fruitiness', 'refreshing', and 'good aftertaste'.
- Palatability negatively correlated with 'bitterness', 'medicinal plant taste', 'seeming beneficial', and 'pungency'.
- The taste sensor accurately predicted human-assessed sourness, bitterness, and pungency (r=0.85, 0.71, 0.84).
Conclusions:
- Sourness, fruitiness, refreshing sensation, and good aftertaste are key drivers of palatability in nutritive drinks.
- Taste sensor technology shows potential as a reliable tool for objective palatability evaluation of bottled nutritive drinks.
- Integrating taste sensor data can aid in optimizing drink formulations for consumer preference.