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 in | Foods Vol. 11; no. 4; p. 594 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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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). |
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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.) |
Author_xml | – sequence: 1 givenname: Kai Kai surname: Ma fullname: Ma, Kai Kai – sequence: 2 givenname: Maija surname: Greis fullname: Greis, Maija – sequence: 3 givenname: Jiakai surname: Lu fullname: Lu, Jiakai – sequence: 4 givenname: Alissa A. orcidid: 0000-0001-9525-5580 surname: Nolden fullname: Nolden, Alissa A. – sequence: 5 givenname: David Julian orcidid: 0000-0002-9016-1291 surname: McClements fullname: McClements, David Julian – sequence: 6 givenname: Amanda J. surname: Kinchla fullname: Kinchla, Amanda J. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35206070$$D View this record in MEDLINE/PubMed |
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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 |
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