A dataset on concurrent and immediate retrospective measures of sensory perception and preferences of dark chocolates.

This article describes data related to the research paper entitled "Concurrent vs. retrospective temporal data collection: Attack-evolution-finish as a simplification of Temporal Dominance of Sensations?" [1]. Temporal sensory perception data of five dark chocolates that vary in cocoa content were collected from 129 consumers who evaluated the samples in two sessions, using a different sensory evaluation method in each session. A within-subject design was set-up to compare the two data collection methods: consumers in Panel 1 (36 men and 32 women aged 19 to 63 years old) started with the Temporal Dominance of Sensations (TDS) method, and consumers in Panel 2 (35 men and 26 women aged 19 to 61 years old) started with the Attack-Evolution-Finish dominance (AEF-D) method. For each chocolate, consumers had to report the sensations they perceived either concurrently (TDS) or retrospectively (AEF-D) to the tasting. After the descriptive task, consumers were asked to rate their liking for chocolates on a 9-point discrete scale. Finally, consumers had to answer questions related to the difficulty of the descriptive task. The dataset includes information on consumers' gender, age and frequency of consumption of dark chocolates. The dataset can be reused by sensometricians to compare methods or develop new statistical models for data analysis. It can also be reused to compare at the individual level declarative sensory measures collected either concurrently or retrospectively to tasting. Thus, the impact of cognition (due to memorization, stress or complexity of measurements) on sensory description and liking can be investigated. More specifically, this dataset can be help understand how the dynamics of perception of texture, mouthfeel and flavour attributes are integrated when using static measures.

Impact of adding xylooligosaccharides encapsulated in butter: Microstructural, optical, rheological and sensory aspects.

This study investigated the microstructure, rheological properties, and sensory characteristics of butters produced with free and encapsulated xylooligosaccharides (XOS). Four formulations of butter were processed: BCONT: 0 % w/w XOS (control); BXOS: 20% w/w free XOS; BXOS-ALG: 20% w/w XOS microencapsulated with alginate (XOS-alginate ratio of 3:1 w/w); and BXOS-GEL: 20% w/w XOS microencapsulated with alginate-gelatin (XOS-alginate-gelatin ratio of 3:1:1.5 w/w). The microparticles showed a bimodal distribution, low size and low span values, demonstrating physical stability to be included in emulsions. The XOS-ALG presented surface weighted mean diameter (D3.2) of 90.24 µm, volume-weighted mean diameter (D4.3) of 131.8 µm, and Span of 2.14. In contrast, the XOS-GEL presented D3.2 of 82.80 µm, D4.3 of 141.0 µm, and a Span of 2.46. Products with XOS were characterized by higher creaminess, sweet taste, and lower salty taste than the control. However, the addition form significantly impacted the other evaluated parameters. The utilization of XOS in a free form (BXOS) resulted in smaller droplet sizes (1.26 µm) than encapsulated XOS and control (XOS-ALG = 1.32 µm / XOS-GEL = 1.58 µm, / BCONT = 1.59 µm), and changes in the rheological parameters (higher values of shear stress, viscosity, consistency index, rigidity (J0), and Newtonian viscosity (ηN) and lower elasticity (τ)). Furthermore, it changed the color parameters (more yellow and dark color, lower L* and higher b* values). On the other hand, the utilization of micropaticles of XOS (BXOS-ALG and BXOS-GEL) kept shear stress, viscosity, consistency index, rigidity (J0), and elasticity (τ) more similar to control. The products had a less intense yellow color (lower b* values) and was perceived with more consistency and butter taste. However, the presence of particles was perceived by consumers. The results suggest that consumers were more attentive to reporting flavor-related attributes than texture. In conclusion, adding microparticles of XOS could improve butter's rheological and sensory properties. In conclusion, adding microparticles of XOS could improve butter's rheological and sensory properties.

Free comment as a valuable approach to characterize and identify the drivers of liking of high-protein flavored milk drink submitted to ohmic heating.

Flavored milk drink is a popular dairy product traditionally processed by pasteurization, which is a safe and robust process. Still, it can imply a greater energy expenditure and a more significant sensorial alteration. Ohmic heating (OH) has been proposed as an alternative to dairy processing, including flavored milk drink. However, its impact on sensory characteristics needs to be evidenced. This study used Free Comment, an underexplored methodology in sensory studies, to characterize five samples of high-protein vanilla-flavored milk drink: PAST (conventional pasteurization 72 °C/15 s); OH6 (ohmic heating at 5.22 V/cm); OH8 (ohmic heating at 6.96 V/cm); OH10 (ohmic heating at 8.70 V/cm), and OH12 (ohmic heating at 10.43 V/cm). Free Comment raised similar descriptors to those found in studies that used more consolidated descriptive methods. The employed statistical approach allowed observation that pasteurization and OH treatment have different effects on the sensory profile of products, and the electrical field strength of OH also has a significant impact. PAST was slightly to moderately negatively associated with "acid taste," "fresh milk taste," "smoothness," "sweet taste," "vanilla flavor," "vanilla aroma," "viscous," and "white color." On the other hand, OH processing with more intense electric fields (OH10 and OH12) produced flavored milk drinks strongly associated with the "in natura" milk descriptors ("fresh milk aroma" and "fresh milk taste"). Furthermore, the products were characterized by the descriptors "homogeneous," "sweet aroma," "sweet taste," "vanilla aroma," "white color," "vanilla taste," and "smoothness." In parallel, less intense electric fields (OH6 and OH8) produced samples more associated with a bitter taste, viscosity, and lumps presence. Sweet taste and fresh milk taste were the drivers of liking. In conclusion, OH with more intense electric fields (OH10 and OH12) was promising in flavored milk drink processing. Furthermore, the free comment was a valuable approach to characterize and identify the drivers of liking of high-protein flavored milk drink submitted to OH.

A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods.

This article describes a dataset providing temporal sensory perception data of four dark chocolates, four guacamoles, four crisps and four ice teas collected from 436 consumers divided in six groups. Each group of consumers has tested all products using only one sensory evaluation method among: Temporal Dominance of Sensations (TDS, n=70), Temporal Check-All-That-Apply (TCATA, n=73), Attack-Evolution-Finish (AEF) dominance (n=74), AEF applicability (n=75), Free-Comment Attack-Evolution-Finish (FC-AEF) dominance (n=72) and FC-AEF applicability (n=72). Each consumer evaluated all the products: guacamoles and ice tea were evaluated in the lab in one session; chocolates and crisps were evaluated at home in two separate sessions. Within each product category, one sample has been replicated. The consumers started with product descriptions, then they gave a hedonic score, and after having tasted all the products related to a same category, they answered questions about product complexity and difficulty of the task. Consumer information included in the dataset is sex, age and frequency of consumption of each product category. This dataset is unique as it addresses several temporal methods applied on four product categories with different textures and levels of complexity. Thus, it could be very useful for the sensometric community to compare the different methods and their parameters: dominance vs. applicability, periods vs. continuous time, simultaneous vs. retrospective measures, list of terms vs. Free-Comment.