Cargando…
Data of texture profile analysis performed by different input settings on stored ‘Nui’ and ‘Rahi’ blueberries
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%)...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405910/ https://www.ncbi.nlm.nih.gov/pubmed/34485643 http://dx.doi.org/10.1016/j.dib.2021.107313 |
_version_ | 1783746413624033280 |
---|---|
author | Rivera, Sebastian Kerckhoffs, Huub Sofkova-Bobcheva, Svetla Hutchins, Dan East, Andrew |
author_facet | Rivera, Sebastian Kerckhoffs, Huub Sofkova-Bobcheva, Svetla Hutchins, Dan East, Andrew |
author_sort | Rivera, Sebastian |
collection | PubMed |
description | 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(−1)), apparent modulus of elasticity (E, 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 (P = 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]. |
format | Online Article Text |
id | pubmed-8405910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84059102021-09-02 Data of texture profile analysis performed by different input settings on stored ‘Nui’ and ‘Rahi’ blueberries Rivera, Sebastian Kerckhoffs, Huub Sofkova-Bobcheva, Svetla Hutchins, Dan East, Andrew Data Brief Data Article 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(−1)), apparent modulus of elasticity (E, 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 (P = 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]. Elsevier 2021-08-20 /pmc/articles/PMC8405910/ /pubmed/34485643 http://dx.doi.org/10.1016/j.dib.2021.107313 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Rivera, Sebastian Kerckhoffs, Huub Sofkova-Bobcheva, Svetla Hutchins, Dan East, Andrew Data of texture profile analysis performed by different input settings on stored ‘Nui’ and ‘Rahi’ blueberries |
title | Data of texture profile analysis performed by different input settings on stored ‘Nui’ and ‘Rahi’ blueberries |
title_full | Data of texture profile analysis performed by different input settings on stored ‘Nui’ and ‘Rahi’ blueberries |
title_fullStr | Data of texture profile analysis performed by different input settings on stored ‘Nui’ and ‘Rahi’ blueberries |
title_full_unstemmed | Data of texture profile analysis performed by different input settings on stored ‘Nui’ and ‘Rahi’ blueberries |
title_short | Data of texture profile analysis performed by different input settings on stored ‘Nui’ and ‘Rahi’ blueberries |
title_sort | data of texture profile analysis performed by different input settings on stored ‘nui’ and ‘rahi’ blueberries |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405910/ https://www.ncbi.nlm.nih.gov/pubmed/34485643 http://dx.doi.org/10.1016/j.dib.2021.107313 |
work_keys_str_mv | AT riverasebastian dataoftextureprofileanalysisperformedbydifferentinputsettingsonstorednuiandrahiblueberries AT kerckhoffshuub dataoftextureprofileanalysisperformedbydifferentinputsettingsonstorednuiandrahiblueberries AT sofkovabobchevasvetla dataoftextureprofileanalysisperformedbydifferentinputsettingsonstorednuiandrahiblueberries AT hutchinsdan dataoftextureprofileanalysisperformedbydifferentinputsettingsonstorednuiandrahiblueberries AT eastandrew dataoftextureprofileanalysisperformedbydifferentinputsettingsonstorednuiandrahiblueberries |