Characterize Firmness Changes of Nectarine and Peach Fruit Associated With Harvest Maturity and Storage Duration Using Parameters of Force–Displacement Curves

IF 2.8 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Journal of texture studies Pub Date : 2025-01-20 DOI:10.1111/jtxs.70003
Xuan Luo, Yiran Zhao, Shijie Tian, Yonghua Yu, Xiuqin Rao, Wendao Xu, Yibin Ying, Huirong Xu
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Abstract

Fruit firmness is a critical attribute for evaluating the quality of peaches and nectarines. The precise measurement of fruit firmness plays a key role in maturity assessment, determining harvest periods, and predicting shelf-life. Texture analyzers are increasingly employed for accurate fruit firmness measurement, offering advantages in reducing operator errors compared to the traditional Magness–Taylor test. However, the parameters defining firmness vary across the literatures. To optimize the parameter(s) for characterizing the firmness of peaches and nectarines, we evaluated 31 parameters derived from force–displacement curves using fruit with various maturity levels and storage durations. Our findings affirmed that the conventional Magness–Taylor measurement effectively delineated firmness changes associated with varying maturity levels, while its ability to capture firmness changes due to storage duration was constrained. On the contrary, parameters extracted from the steady phase (P2), which depict flesh properties after penetrating to a specified depth, exhibited strong performance across diverse maturity stages and storage durations. As effective firmness characterization parameters should differentiate various sample groups based on both maturity and storage duration criteria—pivotal factors influencing softening, the P2-derived parameters are thus deemed more appropriate for firmness characterization. Given the stability of the steady phase (P2) within the force–displacement curve and the high correlation among the P2-derived parameters, it is more recommended to use the end force value of P2, corresponding to the force value at 10 mm depth to represent the firmness of peaches and nectarines.

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利用力-位移曲线参数表征油桃果实硬度随采收成熟度和贮藏时间的变化。
果实硬度是评价水蜜桃和油桃品质的重要指标。水果硬度的精确测量在成熟度评估、采收期确定和保质期预测中起着关键作用。质地分析仪越来越多地用于精确的水果硬度测量,与传统的马格纳斯-泰勒测试相比,它在减少操作员误差方面具有优势。然而,定义硬度的参数在文献中有所不同。为了优化表征桃子和油桃硬度的参数,我们利用不同成熟度和储存时间的水果,评估了31个由力-位移曲线得出的参数。我们的研究结果证实,传统的马格纳斯-泰勒测量有效地描述了与不同成熟度水平相关的硬度变化,而其捕捉由于储存时间而引起的硬度变化的能力受到限制。相反,从稳定相(P2)中提取的参数,描述了穿透到特定深度后的果肉特性,在不同的成熟度阶段和储存时间中表现出很强的性能。由于有效的硬度表征参数应根据影响软化的关键因素成熟度和储存时间标准区分不同的样品组,因此认为p2导出的参数更适合于硬度表征。考虑到力-位移曲线内稳定相位(P2)的稳定性,以及P2导出参数之间的高度相关性,更推荐使用P2的末端力值,对应10mm深度处的力值来表示桃油桃的坚固性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of texture studies
Journal of texture studies 工程技术-食品科技
CiteScore
6.30
自引率
9.40%
发文量
78
审稿时长
>24 weeks
期刊介绍: The Journal of Texture Studies is a fully peer-reviewed international journal specialized in the physics, physiology, and psychology of food oral processing, with an emphasis on the food texture and structure, sensory perception and mouth-feel, food oral behaviour, food liking and preference. The journal was first published in 1969 and has been the primary source for disseminating advances in knowledge on all of the sciences that relate to food texture. In recent years, Journal of Texture Studies has expanded its coverage to a much broader range of texture research and continues to publish high quality original and innovative experimental-based (including numerical analysis and simulation) research concerned with all aspects of eating and food preference. Journal of Texture Studies welcomes research articles, research notes, reviews, discussion papers, and communications from contributors of all relevant disciplines. Some key coverage areas/topics include (but not limited to): • Physical, mechanical, and micro-structural principles of food texture • Oral physiology • Psychology and brain responses of eating and food sensory • Food texture design and modification for specific consumers • In vitro and in vivo studies of eating and swallowing • Novel technologies and methodologies for the assessment of sensory properties • Simulation and numerical analysis of eating and swallowing
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