即时
仿形(计算机编程)
感觉系统
感官分析
椭圆
计算机科学
人工智能
数学
食品科学
心理学
统计
化学
认知心理学
几何学
操作系统
作者
Shiqin Wang,Keng Hong Ng,Kwan Hiu Yee,Yihang Tang,Rui Meng,Wenmeng He
标识
DOI:10.1016/j.foodqual.2023.104858
摘要
Sensory profiling is a primary technique used to characterize products in the food industry. Consumer-based rapid descriptive methods such as Check-All-That-Apply (CATA) and Pivot Profile (PP) are widely preferred over classical methods. In this investigation, the relatively new combined Pivot-CATA sensory method using PP and CATA questions was applied and validated using instant black coffee samples. Three groups of untrained assessors performed PP, CATA, and Pivot-CATA tests on instant coffee samples independently. Data from three sensory methods was collected, analyzed, and compared by applying correspondence analysis, sensory maps, confidence ellipses, and practical applications. Results showed that Pivot-CATA presented similar sensory spaces and maps to PP (RV = 0.890) and CATA (RV = 0.919). Confidence ellipses of Pivot-CATA were the least overlapping and the smallest. Practical advantages of Pivot-CATA include a shorter data collection time, questionnaires that were easier to follow as compared to PP, and more detailed sensory profiles for similar products in contrast with CATA. Thus, Pivot-CATA has proven to be a promising method for future research, by combining the advantages of both the PP and CATA methods in characterizing the sensory properties of products. This research also guides future validations and applications of Pivot-CATA in different food product categories, thus contributing to these products’ quality control and development in the food industry.
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