基于惩罚分析与偏好图技术的辣条消费接受性分析
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(1.上海大学生命科学学院 上海 200444;2.中国标准化研究院农业食品标准化研究所 北京 102200;3.三只松鼠股份有限公司 安徽芜湖 241000)

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Analysis of Consumption Acceptance for Spicy Strip Using Penalty Analysis and Preference Map Technology
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(1.School of Life Sciences, Shanghai University, Shanghai 200444;2.Institute of Agricultural Food Standardization, China National Institute of Standardization, Beijing 102200;3.Three Squirrels Co., Ltd., Wuhu 241000, Anhui)

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    摘要:

    随着国内休闲食品市场的不断扩大,了解影响消费者喜好的关键因素,并指导产品改进显得至关重要。以不同品牌辣条为研究对象,开展针对感官评价小组和消费者的关键感官属性评价。采用惩罚(Penalty)分析初探各产品需改进的感官属性及改进方向,通过方差分析、相关性分析关联研究各口味特征,利用偏好图技术深度处理与表征定量描述分析(QDA)和消费者喜好的映射结果,并验证惩罚分析结果的可靠性。结果表明,6个品牌的辣条样品感官属性与喜好均差异明显,惩罚分析提出影响消费者喜好的关键感官属性,初步确定辣条样品感官属性的改进策略。通过偏好图分析技术发现消费者对于样品DLB、DDR、ZCL和WLQ的偏好率为50%~80%,推测这些样品中的甜味、筋道、油汁感为潜在影响消费者喜好的感官属性。消费者对于样品GSW与HMH的偏好率为20%~30%,推测这2种辣条的咸味、辣味、麻味和香精香料味为潜在影响消费者喜好的感官属性。通过比较QDA、惩罚分析和偏好图,结果发现整体结论一致。综合三者结论确定最终的优化改进策略。本研究建立的辣条感官属性改进模型为辣条的口味特征改进及新产品的研发提供了参考依据。

    Abstract:

    With the continuous expansion of the domestic snack food market, it is crucial to understand the key factors affecting consumer preferences and guide product improvement. This article focused on spicy strips with different brands, which carried out the evaluation of key sensory attributes for sensory evaluation groups and consumers. Penalty analysis preliminarily explored the sensory attributes and improvement directions of each product, and studied the taste characteristics through ANOVA and correlation analysis. The preference mapping was deeply processed and characterized the results of QDA and consumer preference. And it also verified the reliability of the Penalty analysis. The results showed that the sensory attributes and preferences of the six brands of spicy strips were both significantly different. Penalty analysis proposed key sensory attributes that influence consumers' preferences and identified improvement strategies for sensory attributes of 6 spicy strip samples preliminary. It was found that the preference rate of consumers for samples DLB, DDR, ZCL and WLQ was 50%-80% through preference map technology, and it was speculated that sweetness, chewiness and oily juice were the sensory attributes that could potentially affected consumers' preferences. The preference rate of consumers for GSW and HMH was 20%-30%, speculating that salty, spicy, numb, and essence spicery were the sensory attributes that potentially affected consumer preferences. By comparing the results of QDA, Penalty analysis and preference graph, it was found that the overall conclusion was consistent, and the final optimization and improvement strategy was determined by combining the three conclusions. The sensory attribute improvement model of spicy strips established in this article can provide a reference for the improvement of taste characteristics of spicy strips and the development of new products.

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岳营峰,史波林,赵镭,高海燕,钟葵,汪厚银,王思思,顾千辉.基于惩罚分析与偏好图技术的辣条消费接受性分析[J].中国食品学报,2023,23(12):438-448

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  • 收稿日期:2022-12-19
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  • 在线发布日期: 2024-01-23
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