Relationship between consumer acceptance, sensory characteristics, and physicochemical characteristics of "Fuji" apples from different origins
This study examines the acceptance of young Chinese consumers for different "Fuji" apples, focusing on their sensory characteristics and physicochemical foundations. The sensory attributes of the samples were evaluated using a combination of static descriptive analysis (DA) and temporal check-all-that-apply fading (TCATA-fading) methods. Furthermore, the volatile compounds, soluble sugars, organic acids, and textural parameters of the samples were analyzed. The findings revealed that participants favored apples that were perceived as "sweet," "crunchy," "juicy," and "aromatic." The results from the DA indicated that certain sensory attributes, such as "sweet," "vanilla," "honey," and "pear" positively influenced acceptance, while attributes like "sour," "hard," and "grass" had a negative impact. The findings from both the DA and TCATA-fading methods were consistent with each other. In terms of dynamic evaluation, sweetness, and sourness were the initial perceptions, followed by a range of other flavors. Notably, our data suggested that sweetness perception could be enhanced by attributes such as "honey" and "banana." Additionally, the sugar-acid ratio and specific volatile compounds, including hexanal, (E)-2-hexenal, β-damascenone, butyl acetate, and propyl 2-methylbutyrate, were found to influence the perception of sweetness in apples. PRACTICAL APPLICATION: This study helps to understand the effect of different origins on the acceptance of "Fuji" apples and to know the sensory and material basis for the emergence of such differences. It is beneficial for growers and marketers to improve 'Fuji' apples.
Authors
- Chunguang Wang (ORCID: https://orcid.org/0000-0001-5569-321X)
- Lixia Zhu (ORCID: https://orcid.org/0000-0002-8074-2199)
- Shuying Wang (ORCID: https://orcid.org/0000-0002-6631-7540)
- Yiming Jia (ORCID: https://orcid.org/0000-0002-3624-7879)
- Baoqing Zhu (ORCID: https://orcid.org/0000-0002-7815-8655)
- Yuxuan Zhu (ORCID: https://orcid.org/0000-0002-9903-8695)
- Jun‐Long Li (ORCID: https://orcid.org/0000-0002-4700-0142)
- Yuchao Liu (ORCID: https://orcid.org/0000-0002-1645-1813)
Institutions
- Tarim University (CN)
- Beijing Forestry University (CN)
Publication Details
- Journal
- Journal of Food Science
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1111/1750-3841.17296
- Citations
- 4
- Primary Topic
- Sensory Analysis and Statistical Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- National Natural Science Foundation of China
- Xinjiang Production and Construction Corps