Your browser doesn't support javascript.
loading
Identifying sensory drivers of liking for plant-based milk coffees: Implications for product development and application.
Chung, Yi-Lin; Kuo, Wan-Yuan; Liou, Bo-Kang; Chen, Po-Chuan; Tseng, Yu-Chuan; Huang, Rui-Yu; Tsai, Mei-Chu.
Afiliación
  • Chung YL; Product and Process Research Center, Food Industry Research and Development Institute, Hsinchu City, Taiwan.
  • Kuo WY; Health & Human Development, Montana State University, Bozeman, Montana, USA.
  • Liou BK; Department of Food Science and Technology, Central Taiwan University of Science and Technology, Taichung City, Taiwan.
  • Chen PC; Product and Process Research Center, Food Industry Research and Development Institute, Hsinchu City, Taiwan.
  • Tseng YC; Product and Process Research Center, Food Industry Research and Development Institute, Hsinchu City, Taiwan.
  • Huang RY; Product and Process Research Center, Food Industry Research and Development Institute, Hsinchu City, Taiwan.
  • Tsai MC; Product and Process Research Center, Food Industry Research and Development Institute, Hsinchu City, Taiwan.
J Food Sci ; 87(12): 5418-5429, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36377629
The global plant-based product market is growing rapidly, and plant-based milks show promising potential in the coffee beverage sector. This study aimed to identify sensory drivers of liking of plant-based milk coffees for guiding the development of plant-based products with competitive advantages over dairy milk coffees. Twelve coffee samples were prepared with plant-based (oat, soy, almond, and coconut) and dairy (cow) milk. Quantitative descriptive analysis was used to generate sensory attribute terms for the 12 samples. Check-all-that-apply (CATA) questions were given to consumers to evaluate the sensory profiles and consumer acceptance of the 12 samples. Correspondence analysis and cluster analysis of the CATA results from 80 consumers showed that the oat and soy milk coffee samples were closer to what the consumers perceived as "typical" milk products, while the coconut and almond milk coffee samples were closer to the "flavored" milk products. Partial least squares regression results revealed that the attributes smooth, milky, and thick were important drivers of liking for the milk coffee samples. On the contrary, rancid oil, greasy, astringent, and rice bran were the major sensory attributes lowering the panelists' acceptance of the milk coffee samples. The majority of consumers (53.5%) were "dairy milk lovers," who specifically liked the dairy milk coffee sample and had low acceptance for the plant-based milk coffee samples. There was also a group of consumers (46.2%) classified as "plant-based milk coffee lovers." They enjoyed coffees prepared with a wide range of milks (both dairy and nondairy milks) and represent high-potential consumers for plant-based milk coffee products. PRACTICAL APPLICATION: The positive and negative drivers of liking for plant-based milk coffee samples were identified. A competitive landscape analysis method for assessing the acceptability and sensory attributes of 12 milk coffee samples (11 commercial plant-based milks and 1 dairy milk product) in the current Asian market was established. The sensory terms developed in this study can also be applied to evaluate sensory profiles of other plant-based and dairy milk coffee samples.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Café / Preferencias Alimentarias Idioma: En Revista: J Food Sci Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Café / Preferencias Alimentarias Idioma: En Revista: J Food Sci Año: 2022 Tipo del documento: Article País de afiliación: Taiwán