浙江农业科学 ›› 2026, Vol. 67 ›› Issue (8): 1977-1981.DOI: 10.16178/j.issn.0528-9017.20250426

• 果树与蔬菜 • 上一篇    下一篇

基于质地剖面分析的不同果型辣椒质地鉴定评价

甄俊琦(), 李军利, 谭秀芳, 邹明, 刘翼成, 魏芳, 董琪, 陈曦   

  1. 新乡市农业科学院,河南 新乡 453000
  • 收稿日期:2025-06-16 出版日期:2026-08-11 发布日期:2026-08-20
  • 作者简介:甄俊琦,从事蔬菜栽培与育种相关研究工作。E-mail:vaeuni@163.com

Texture identification and evaluation of different fruit-shaped peppers based on texture profile analysis

ZHEN Junqi(), LI Junli, TAN Xiufang, ZOU Ming, LIU Yicheng, WEI Fang, DONG Qi, CHEN Xi   

  1. Xinxiang Academy of Agricultural Sciences,Xinxiang 453000,Henan
  • Received:2025-06-16 Online:2026-08-11 Published:2026-08-20

摘要:

为系统探究不同果型辣椒果实的质地差异,采用质地剖面分析(TPA)法,对市场常见的线椒、螺丝椒和羊角椒3种果型辣椒果实进行主要质地参数测定,并通过相关分析和主成分分析(PCA)揭示质地参数间的内在联系。结果表明,不同果型辣椒果实的质地参数存在显著(p<0.05)差异。新科26(羊角椒)在硬度、弹性和咀嚼性指标上均显著优于螺丝椒和线椒,胶黏性表现为羊角椒>螺丝椒>线椒,而3种果型在果实内聚性方面差异相对较小。相关分析表明,各质地参数间呈显著或极显著(p<0.01)正相关关系,其中咀嚼性与胶黏性、硬度和弹性等关键参数的相关系数均达或超过0.88,表现出高度协同变化趋势。PCA结果表明,前2个主成分对辣椒果实质地的累计方差贡献率达91.6%,其中咀嚼性和胶黏性的载荷量最大,可作为评价辣椒果实质地的核心指标。本研究结果为辣椒品种选育、品质综合评价及加工提供科学依据。

关键词: 辣椒, 质地多面分析, 相关分析, 主成分分析, 质地评价

Abstract:

To systematically explore the texture differences in pepper fruits with different fruit shapes,the texture profile analysis(TPA)method was used to measure the main texture parameters of three commonly marketed pepper types,namely linear peppers,screw peppers,and horn peppers. Correlation analysis and principal component analysis(PCA)were conducted to reveal the internal relationships among the texture parameters. The results showed significant (p<0.05)differences in texture parameters among pepper fruits with different fruit shapes. Xinke 26(horn pepper) significantlyoutperformed screw peppers and linear peppers in hardness,elasticity,and chewiness. The adhesiveness presented an order of horn peppers>screw peppers>linear peppers,while the differences in fruit cohesiveness among the three types were relatively small. Correlation analysis indicated significant or highly significant(p<0.01) positive correlations among the texture parameters. The correlation coefficients between chewiness and key parameters such as adhesiveness,hardness,and elasticity were all at or above 0.88,demonstrating a highly synergistic change trend. PCA showed that the first two principal components accounted for 91.6% of the cumulative variance contribution rate of pepper fruit texture,with chewiness and adhesiveness having the highest loadings,which can serve as core indicators for evaluating pepper fruit texture. This study provides a scientific basis for pepper variety breeding,quality comprehensive evaluation,and processing.

Key words: pepper, texture profile analysis, correlation analysis, principal component analysis, texture evaluation

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