Unlabelled: The drivers of liking of lemon-lime carbonated beverages were investigated with regular and diet beverage consumers. Ten beverages were selected from a category survey of commercial beverages using a D-optimal procedure. Beverages were subjected to consumer testing (n = 101 regular beverage consumers, n = 100 diet beverage consumers). Segmentation of consumers was performed on overall liking scores followed by external preference mapping of selected samples. Diet beverage consumers liked 2 diet beverages more than regular beverage consumers. There were no differences in the overall liking scores between diet and regular beverage consumers for other products except for a sparkling beverage sweetened with juice which was more liked by regular beverage consumers. Three subtle but distinct consumer preference clusters were identified. Two segments had evenly distributed diet and regular beverage consumers but one segment had a greater percentage of regular beverage consumers (P < 0.05). The 3 preference segments were named: cluster 1 (C1) sweet taste and carbonation mouthfeel lovers, cluster 2 (C2) carbonation mouthfeel lovers, sweet and bitter taste acceptors, and cluster 3 (C3) bitter taste avoiders, mouthfeel and sweet taste lovers. User status (diet or regular beverage consumers) did not have a large impact on carbonated beverage liking. Instead, mouthfeel attributes were major drivers of liking when these beverages were tested in a blind tasting.
Practical Application: Preference mapping of lemon-lime carbonated beverage with diet and regular beverage consumers allowed the determination of drivers of liking of both populations. The understanding of how mouthfeel attributes, aromatics, and basic tastes impact liking or disliking of products was achieved. Preference drivers established in this study provide product developers of carbonated lemon-lime beverages with additional information to develop beverages that may be suitable for different groups of consumers.
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http://dx.doi.org/10.1111/1750-3841.12028 | DOI Listing |
Redox Biol
January 2025
Key Laboratory of Liver and Kidney Diseases (Ministry of Education), Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China; Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China; Central Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China. Electronic address:
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January 2025
Department of Clinical Sciences, Swedish University of Agricultural Sciences, Box 7024, 750 07, Uppsala, Sweden.
A cross-sectional study on 156 smallholder dairy farms in Rwanda was carried out to assess the association between farm management practices and milk yield and quality. A pre-tested questionnaire was used to collect data on cow characteristics and farm management practices. Milk yield was recorded at household level, milk composition was monitored using a Lactoscan device (Milk Analyzer).
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January 2025
Center of Research in Food Environment and Prevention of Obesity and Non-Communicable Diseases (CIAPEC), Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile.
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Department of Trauma Surgery and Orthopedics, Goethe University, University Hospital, Frankfurt, Germany.
Objective: Global per capita alcohol consumption is increasing, posing significant socioeconomic and medical challenges also due to alcohol-related traumatic injuries but also its biological effects. Trauma as a leading cause of death in young adults, is often associated with an increased risk of complications, such as sepsis and multiple organ failure, due to immunological imbalances. Regulatory T cells play a crucial role in maintaining immune homeostasis by regulating the inflammatory response.
View Article and Find Full Text PDFPsychol Addict Behav
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Edson College of Nursing and Health Innovation, Arizona State University.
Objective: Sexual assault perpetration is widespread among young men. According to the Confluence Model, hostile masculinity and impersonal sex are trait-level factors associated with sexual assault perpetration likelihood. Additionally, state-level factors, including alcohol intoxication, current emotions, and ability to modulate one's emotions, have been tied to sexual assault perpetration via the I3 Model.
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