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对储存的“努伊”和“拉希”蓝莓采用不同输入设置进行质地剖面分析的数据。

Data of texture profile analysis performed by different input settings on stored 'Nui' and 'Rahi' blueberries.

作者信息

Rivera Sebastian, Kerckhoffs Huub, Sofkova-Bobcheva Svetla, Hutchins Dan, East Andrew

机构信息

School of Agriculture and Environment, Massey University, Palmerston North, New Zealand.

Start-A-Fresh, Mount Manganui, New Zealand.

出版信息

Data Brief. 2021 Aug 20;38:107313. doi: 10.1016/j.dib.2021.107313. eCollection 2021 Oct.

Abstract

Texture Profile Analysis is a well-established method for assessing mechanical properties of horticultural food products and consists of two compression cycles on a repeated motion to a given strain using a flat surface probe (i.e., compression plate). Input settings of target deformation (strain%) and duration (s) between compression cycles utilized for Texture Profile Analysis could influence output mechanical properties. The article provides data related to the ability of different Texture Profile Analysis operational settings to enable the separation of blueberries with variable mechanical properties. To create variable mechanical parameters of 'Nui' and 'Rahi' blueberries, fruit was stored in four relative humidity for 21 d at 4°C. For each storage humidity, mechanical properties of hardness (BH, N), hardness slope (BHS, kN m), apparent modulus of elasticity (, MPa), and resilience (BR, -) were determined by utilizing two strain (15% or 30% of berry equatorial height). Meanwhile, mechanical parameters of cohesiveness (BCo, -), and springiness (BSp, -) were obtained by utilizing the combination of two strain (15% or 30%) and two duration between cycles (2 s and 10 s) as TPA operational settings. The statistical evaluation was conducted by one-way ANOVA, and the means of each storage humidity were separated according to the Tukey-HSD test ( = 0.05). The data presented in this article was used to select the Texture Profile Analysis operational settings utilized in the article entitled "Influence of water loss on mechanical properties of stored blueberries" Rivera et al. [1].

摘要

质地剖面分析是一种成熟的评估园艺食品机械性能的方法,它使用平面探头(即压板)对给定应变进行重复运动的两个压缩循环。用于质地剖面分析的目标变形(应变%)和压缩循环之间的持续时间(秒)的输入设置可能会影响输出的机械性能。本文提供了与不同质地剖面分析操作设置区分具有不同机械性能的蓝莓的能力相关的数据。为了创建“努伊”和“拉希”蓝莓的可变机械参数,将果实置于四种相对湿度下,在4°C储存21天。对于每种储存湿度,利用两种应变(浆果赤道高度的15%或30%)测定硬度(BH,N)、硬度斜率(BHS,kN/m)、表观弹性模量(,MPa)和弹性恢复率(BR,-)的机械性能。同时,利用两种应变(15%或30%)和循环之间的两种持续时间(2秒和10秒)的组合作为质地剖面分析操作设置,获得内聚性(BCo,-)和弹性(BSp,-)的机械参数。通过单因素方差分析进行统计评估,并根据Tukey-HSD检验(=0.05)分离每种储存湿度的平均值。本文中呈现的数据用于选择题为《水分流失对储存蓝莓机械性能的影响》的文章(Rivera等人[1])中使用的质地剖面分析操作设置。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a7a/8405910/da20810effcb/gr1.jpg

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