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The influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese

In response to consumer demands, plant protein ingredients are increasingly being used in the formulation of plant-based alternatives to cheese. The aim of this study was to determine the influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese. Moreover,...

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Detalles Bibliográficos
Autores principales: Grasso, N., Bot, F., Roos, Y.H., Crowley, S.V., Arendt, E.K., O'Mahony, J.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619148/
https://www.ncbi.nlm.nih.gov/pubmed/36324865
http://dx.doi.org/10.1016/j.crfs.2022.09.028
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author Grasso, N.
Bot, F.
Roos, Y.H.
Crowley, S.V.
Arendt, E.K.
O'Mahony, J.A.
author_facet Grasso, N.
Bot, F.
Roos, Y.H.
Crowley, S.V.
Arendt, E.K.
O'Mahony, J.A.
author_sort Grasso, N.
collection PubMed
description In response to consumer demands, plant protein ingredients are increasingly being used in the formulation of plant-based alternatives to cheese. The aim of this study was to determine the influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese. Moreover, the age-induced changes in such attributes were assessed, with samples analysed after 1 month of storage. After characterisation of the ingredients, the chickpea-based formulations were prepared by blending chickpea flour and protein concentrate in different proportions to obtain four samples of increasing protein content (i.e., 8.68–21.5%). Formulations were developed at pH ∼4.5, and a moisture content of 50%, with shea butter used to obtain 15% fat content. The differential scanning calorimetry thermograms of the samples showed a main peak around 30 °C, corresponding to transition of the shea butter, and a smaller peak around 70 °C related to starch gelatinisation. Analysis of microstructure showed formation of a protein matrix with more extensive protein structure at high protein concentration. Furthermore, none of the chickpea-based samples melted under the testing conditions and all samples showed increasing values for adhesiveness, springiness and cohesiveness with increasing protein content. However, hardness was the highest for the sample with the lowest protein content, likely due to starch retrogradation. After storage, hardness increased further for all samples. This work improves our understanding of the role of chickpea protein in developing plant-based alternatives to cheese and the challenges therein.
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spelling pubmed-96191482022-11-01 The influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese Grasso, N. Bot, F. Roos, Y.H. Crowley, S.V. Arendt, E.K. O'Mahony, J.A. Curr Res Food Sci Articles from the special issue: Plant-Based Foods, edited by Xing Chen, Patrick Ruhs and Costas Nikiforid In response to consumer demands, plant protein ingredients are increasingly being used in the formulation of plant-based alternatives to cheese. The aim of this study was to determine the influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese. Moreover, the age-induced changes in such attributes were assessed, with samples analysed after 1 month of storage. After characterisation of the ingredients, the chickpea-based formulations were prepared by blending chickpea flour and protein concentrate in different proportions to obtain four samples of increasing protein content (i.e., 8.68–21.5%). Formulations were developed at pH ∼4.5, and a moisture content of 50%, with shea butter used to obtain 15% fat content. The differential scanning calorimetry thermograms of the samples showed a main peak around 30 °C, corresponding to transition of the shea butter, and a smaller peak around 70 °C related to starch gelatinisation. Analysis of microstructure showed formation of a protein matrix with more extensive protein structure at high protein concentration. Furthermore, none of the chickpea-based samples melted under the testing conditions and all samples showed increasing values for adhesiveness, springiness and cohesiveness with increasing protein content. However, hardness was the highest for the sample with the lowest protein content, likely due to starch retrogradation. After storage, hardness increased further for all samples. This work improves our understanding of the role of chickpea protein in developing plant-based alternatives to cheese and the challenges therein. Elsevier 2022-10-05 /pmc/articles/PMC9619148/ /pubmed/36324865 http://dx.doi.org/10.1016/j.crfs.2022.09.028 Text en © 2022 The Author(s) 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 Articles from the special issue: Plant-Based Foods, edited by Xing Chen, Patrick Ruhs and Costas Nikiforid
Grasso, N.
Bot, F.
Roos, Y.H.
Crowley, S.V.
Arendt, E.K.
O'Mahony, J.A.
The influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese
title The influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese
title_full The influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese
title_fullStr The influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese
title_full_unstemmed The influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese
title_short The influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese
title_sort influence of protein concentration on key quality attributes of chickpea-based alternatives to cheese
topic Articles from the special issue: Plant-Based Foods, edited by Xing Chen, Patrick Ruhs and Costas Nikiforid
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619148/
https://www.ncbi.nlm.nih.gov/pubmed/36324865
http://dx.doi.org/10.1016/j.crfs.2022.09.028
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