Scientific Production Faculty

Drivers of liking to predict consumers? acceptance of local coffee from indigenous Mexican regions



Jaimez Ordaz, Judith

2022

Yvonne Roman-Maldonado, Ana L. Gutiérrez-Salomón, Judith Jaimez-Ordaz, Sergio E. García-Barrón & Jahir A. Barajas-Ramírez. Drivers of liking to predict consumers? acceptance of local coffee from indigenous Mexican regions. Eur Food Res Technol. 2022, 248, 467?475. https://doi.org/10.1007/s00217-021-03892-x


Abstract


The objective of this study was to identify drivers of liking for local coffees cultivated in three indigenous regions from Hidalgo, Mexico. A conventional descriptive analysis was conducted to identify the sensory characteristics; 2-AFC discriminative test was performed to determine differences in acidity and bitter among coffee beverages. In addition, overall liking of four coffees was evaluated by 145 coffee consumers using a 9-point hedonic scale. Coffees from Sierra Gorda and Sierra Alta regions presented higher acidity than coffees from Sierra Otomí-Tepehua and coffees from Sierra Alta region were the most bitter (d??=?2.45, p?



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