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Optimisation of dried cat food using a human taste panel: methodology and characterisation of flavour

机译:使用人类味觉小组优化猫干食品的方法和风味表征

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摘要

The domestic cat (Felis catus) is sensitive to flavour differences in diet and very discriminating in food selection, yet is clearly unable to verbalise likes and dislikes, creating challenges for pet food manufacturers and animal nutritionists seeking to optimise products. This study sought to develop a methodology for using a human taste panel to assess dried cat food and to develop base-line flavour profiles for a range of commercial dried cat food products (DCF). Methods based on techniques employed with human food were applied for the development of a lexicon of 20 flavour and four texture terms to describe DCF. Commercial samples (four) were profiled by a trained sensory panel (n = 6). These DCF differed in intensity scores for 13 flavour andall texture attributes. Principal Component Analysis discriminated well between most products. Generalised Procrustes Analysis of panel data indicated good overall performance and consensus by the assessors. We conclude that DCF possess a high degree ofcomplexity, and can be successfully profiled by a human sensory panel.
机译:家猫(Felis catus)对饮食中的风味差异很敏感,并且在食物选择上非常有区别,但显然无法用语言表达好恶,这对宠物食品制造商和寻求优化产品的动物营养学家构成了挑战。这项研究试图开发一种使用人类口味小组评估干猫粮的方法,并开发出一系列商业干猫粮产品(DCF)的基线风味特征。基于人类食品技术的方法被用于开发20种风味和4种质地术语的词典来描述DCF。商业样品(四个)由训练有素的感官小组进行分析(n = 6)。这些DCF在13种风味和所有质地属性的强度得分上有所不同。主成分分析可以很好地区分大多数产品。广义前兆面板数据的分析表明,评估人员的总体表现良好且一致。我们得出的结论是,DCF具有高度的复杂性,并且可以由人的感官小组成功地进行剖析。

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