Functional Performance of Plant Proteins

Increasingly, consumers are moving towards a more plant-based diet. However, some consumers are avoiding common plant proteins such as soy and gluten due to their potential allergenicity. Therefore, alternative protein sources are being explored as functional ingredients in foods, including pea, chi...

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Published inFoods Vol. 11; no. 4; p. 594
Main Authors Ma, Kai Kai, Greis, Maija, Lu, Jiakai, Nolden, Alissa A., McClements, David Julian, Kinchla, Amanda J.
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 18.02.2022
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Abstract Increasingly, consumers are moving towards a more plant-based diet. However, some consumers are avoiding common plant proteins such as soy and gluten due to their potential allergenicity. Therefore, alternative protein sources are being explored as functional ingredients in foods, including pea, chickpea, and other legume proteins. The factors affecting the functional performance of plant proteins are outlined, including cultivars, genotypes, extraction and drying methods, protein level, and preparation methods (commercial versus laboratory). Current methods to characterize protein functionality are highlighted, including water and oil holding capacity, protein solubility, emulsifying, foaming, and gelling properties. We propose a series of analytical tests to better predict plant protein performance in foods. Representative applications are discussed to demonstrate how the functional attributes of plant proteins affect the physicochemical properties of plant-based foods. Increasing the protein content of plant protein ingredients enhances their water and oil holding capacity and foaming stability. Industrially produced plant proteins often have lower solubility and worse functionality than laboratory-produced ones due to protein denaturation and aggregation during commercial isolation processes. To better predict the functional performance of plant proteins, it would be useful to use computer modeling approaches, such as quantitative structural activity relationships (QSAR).
AbstractList Increasingly, consumers are moving towards a more plant-based diet. However, some consumers are avoiding common plant proteins such as soy and gluten due to their potential allergenicity. Therefore, alternative protein sources are being explored as functional ingredients in foods, including pea, chickpea, and other legume proteins. The factors affecting the functional performance of plant proteins are outlined, including cultivars, genotypes, extraction and drying methods, protein level, and preparation methods (commercial versus laboratory). Current methods to characterize protein functionality are highlighted, including water and oil holding capacity, protein solubility, emulsifying, foaming, and gelling properties. We propose a series of analytical tests to better predict plant protein performance in foods. Representative applications are discussed to demonstrate how the functional attributes of plant proteins affect the physicochemical properties of plant-based foods. Increasing the protein content of plant protein ingredients enhances their water and oil holding capacity and foaming stability. Industrially produced plant proteins often have lower solubility and worse functionality than laboratory-produced ones due to protein denaturation and aggregation during commercial isolation processes. To better predict the functional performance of plant proteins, it would be useful to use computer modeling approaches, such as quantitative structural activity relationships (QSAR).
Increasingly, consumers are moving towards a more plant-based diet. However, some consumers are avoiding common plant proteins such as soy and gluten due to their potential allergenicity. Therefore, alternative protein sources are being explored as functional ingredients in foods, including pea, chickpea, and other legume proteins. The factors affecting the functional performance of plant proteins are outlined, including cultivars, genotypes, extraction and drying methods, protein level, and preparation methods (commercial versus laboratory). Current methods to characterize protein functionality are highlighted, including water and oil holding capacity, protein solubility, emulsifying, foaming, and gelling properties. We propose a series of analytical tests to better predict plant protein performance in foods. Representative applications are discussed to demonstrate how the functional attributes of plant proteins affect the physicochemical properties of plant-based foods. Increasing the protein content of plant protein ingredients enhances their water and oil holding capacity and foaming stability. Industrially produced plant proteins often have lower solubility and worse functionality than laboratory-produced ones due to protein denaturation and aggregation during commercial isolation processes. To better predict the functional performance of plant proteins, it would be useful to use computer modeling approaches, such as quantitative structural activity relationships (QSAR).Increasingly, consumers are moving towards a more plant-based diet. However, some consumers are avoiding common plant proteins such as soy and gluten due to their potential allergenicity. Therefore, alternative protein sources are being explored as functional ingredients in foods, including pea, chickpea, and other legume proteins. The factors affecting the functional performance of plant proteins are outlined, including cultivars, genotypes, extraction and drying methods, protein level, and preparation methods (commercial versus laboratory). Current methods to characterize protein functionality are highlighted, including water and oil holding capacity, protein solubility, emulsifying, foaming, and gelling properties. We propose a series of analytical tests to better predict plant protein performance in foods. Representative applications are discussed to demonstrate how the functional attributes of plant proteins affect the physicochemical properties of plant-based foods. Increasing the protein content of plant protein ingredients enhances their water and oil holding capacity and foaming stability. Industrially produced plant proteins often have lower solubility and worse functionality than laboratory-produced ones due to protein denaturation and aggregation during commercial isolation processes. To better predict the functional performance of plant proteins, it would be useful to use computer modeling approaches, such as quantitative structural activity relationships (QSAR).
Author Ma, Kai Kai
Greis, Maija
Lu, Jiakai
McClements, David Julian
Kinchla, Amanda J.
Nolden, Alissa A.
AuthorAffiliation 1 Department of Food Science, University of Massachusetts, Amherst, MA 01003, USA; kkm5269@psu.edu (K.K.M.); mgreis@umass.edu (M.G.); jiakailu@umass.edu (J.L.); anolden@umass.edu (A.A.N.); mcclemen@umass.edu (D.J.M.)
2 Department of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland
AuthorAffiliation_xml – name: 2 Department of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland
– name: 1 Department of Food Science, University of Massachusetts, Amherst, MA 01003, USA; kkm5269@psu.edu (K.K.M.); mgreis@umass.edu (M.G.); jiakailu@umass.edu (J.L.); anolden@umass.edu (A.A.N.); mcclemen@umass.edu (D.J.M.)
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Issue 4
Keywords functional properties
plant-based foods
pulse proteins
legume protein
protein isolates
meat analogs
plant proteins
Language English
License https://creativecommons.org/licenses/by/4.0
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Snippet Increasingly, consumers are moving towards a more plant-based diet. However, some consumers are avoiding common plant proteins such as soy and gluten due to...
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SubjectTerms Allergenicity
Biopolymer denaturation
Chickpeas
computers
Consumers
Cultivars
Drying
Foaming
Food
Food plants
Food science
functional properties
Genotypes
Gluten
Ingredients
legume protein
Legumes
meat analogs
Nutrient content
oils
peas
Performance prediction
Physicochemical properties
plant proteins
plant-based diet
Plant-based foods
protein content
Protein denaturation
protein isolates
protein solubility
Protein sources
Proteins
pulse proteins
Review
Solubility
Structure-activity relationships
Veganism
Vegetarianism
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Title Functional Performance of Plant Proteins
URI https://www.ncbi.nlm.nih.gov/pubmed/35206070
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