High consumption increases sensitivity to after-flavor of canned coffee beverages

A Timely Application-Temporal methods, past, present, and future

Eating is a dynamic experience, and temporal sensory methods have been proposed to document how products change over the course of consumption or use (nonfood). A search of online databases yielded approximately 170 sources related to temporal evaluation of food products that were compiled and reviewed. This review summarizes the evolution of temporal methodologies (past), offers guidance in selecting appropriate methods (present), and provides insights into the future of temporal methodologies in the sensory space. Temporal methods have evolved to document a variety of characteristics in food products including how the intensity of a specific attribute changes over time (Time-Intensity), which specific attribute is dominant at each time during evaluation (Temporal Dominance of Sensations), which attributes are present at each time point during evaluation (Temporal Check-All-That-Apply), and many others (Temporal Order of Sensations, Attack-Evolution-Finish, and Temporal Ranking). In addition to documenting the evolution of temporal methods, this review considers the selection of an appropriate temporal method based on the objective and scope of research. When choosing a temporal method, researchers should also consider the selection of panelists to perform the temporal evaluation. Future temporal research should focus on validation of new temporal methods and explore how methods can be implemented and improved to add to the usefulness of temporal techniques for researchers.

Impact of consumption frequency on generations of sensory product profiles using CATA questions: Case studies with two drink categories

Check-All-That-Apply (CATA) is a very popular tool for rapid sensory profiling in consumer research. Yet, consumers' dietary habits, such as consumption frequency, has been neglected in regard to the impact, if any, on CATA question responses. The present work aimed to fill this gap, by focusing on the effect of different consumption frequencies with four studies (N = 686). Two categories of drink products were involved, chrysanthemum tea and instant coffee. For each category, two sets of products were prepared to constitute two levels of difference between samples (larger vs. smaller). Consumers were classified into high- and low-consumption groups according to their consumption frequencies of each focal product; the size of these subgroups ranged from 54 to 130. Overall, the two groups did not produce large discrepancies from each other when constructing sensory profiling of the tested samples with CATA questions as well as the stability of sample configurations. However, there were some nuances between them. In the evaluation of chrysanthemum tea samples, the higher-consumption group of consumers presented better discrimination than the lower-consumption group while this was reversed for coffee samples. This might be mainly attributed to the fact infrequent consumers were more sensitive to such negative attributes as "strong chrysanthemum smell for chrysanthemum samples, earthy for coffee samples". Further, despite the higher stability obtained with larger sizes of difference between samples in Studies 3 and 4, in general, the effect of size of differences within sample sets was not significant between different consumption groups. To more effectively contribute to refinement of methodological guidelines for CATA questions, more validation work is needed.

Multi-Sip Time⁻Intensity Evaluation of Retronasal Aroma after Swallowing Oolong Tea Beverage

In most cases, a meal cannot be finished with a single bite and sip. During eating and drinking, consumers receive dynamic food perceptions from sensory attributes in foods. Thus, we performed multi-sip time–intensity (TI) evaluation of sensory attribute. In each of ten trials, the participant evaluated continuously the intensity of retronasal aroma for 60 s after swallowing oolong tea. We compared the TI parameters (I_max: maximum intensity, T_max: time point at which intensity reached the maximum value, AUC: area under the TI curve, D_plateau: duration between the first and last time points with values exceeding 90% of the maximum intensity, R_inc: rate of intensity increase between the first time points with values exceeding 5% and 90% of the maximum intensity, and R_dec: rate of intensity decrease between the last time points with values exceeding 5% and 90% of the maximum intensity) and TI curves among the ten trials, and approximated each TI curve with an exponential model. Some TI parameters (I_max, T_max, AUC, and R_inc) differed significantly between the first and subsequent trials. The TI curve was significantly lower in the first trial than in the subsequent trials, and TI curve during the time from starting the evaluation to reaching maximum intensity was significantly lower in the second trial than in the subsequent trials. The time constant of the fitted exponential function revealed that the decay of retronasal aroma intensity was slightly faster in the second through fourth trials than in the first and the fifth through tenth trials. These results indicate that olfaction might be more perceptive while consumers sip a cup of the beverage.