Comparison of Sweet–Sour Taste Interactions between Cold Brewed Coffee and Water

• Published in: Beverages (Basel) Vol. 8; no. 2; p. 32
• Main Authors: Junge, Jonas Yde, Mielby, Line Ahm, Kidmose, Ulla
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 27-05-2022
• Subjects: Acids; Aqueous solutions; Beverages; binary taste interactions; Citric acid; Coffee; Comparative analysis; Complexity; consumer study; Consumers; Evaluation; Food; food matrix; mixture suppression; Questionnaires; sensory perception; Sour taste; Sourness; Sucrose; Sweet taste; Sweetness; Sweetness (Taste); Tartaric acid; Taste; taste mixtures; Denmark; Aarhus Denmark; Germany
• ISSN: 2306-5710; 2306-5710
• DOI: 10.3390/beverages8020032

Most beverages are complex matrices. Different taste compounds within these matrices interact, and thus affect the perception of the tastes. Sweetness and sourness have generally been known to suppress each other, but often such investigations have focused on aqueous solutions. Investigations into what happens when these known interactions are transferred to more complex solutions are scarce. In this study, we investigated the differences in taste interactions between an aqueous matrix and a cold-brewed coffee matrix. Two sub-studies were conducted. In one, six aqueous samples were evaluated by 152 naïve consumers; in the other six cold-brewed coffee samples were evaluated by 115 naïve consumers. In both studies participants tasted samples with no addition or with addition of either sucrose, citric acid, tartaric acid, or a mix of sucrose and either of the acids. Results showed that the sweetness of sucrose was suppressed by both citric acid and tartaric acid in both matrices. The sourness of both citric acid and tartaric acid was suppressed in the aqueous matrix, but only the sourness of tartaric was suppressed in the coffee matrix. Generally, the suppression was lower in the coffee matrix compared to the aqueous matrix. In conclusion, results from taste interaction studies conducted on aqueous matrices can to some extent, with caution, be interpolated to more complex matrices. Importantly, suppression effects might diminish with an increase in matrix complexity.