Comparison of protein quality and digestibility between plant-based and meat-based burgers.

Amino acids Meat analogs Plant-based burgers Protein digestibility Protein quality

Journal

Food research international (Ottawa, Ont.)
ISSN: 1873-7145
Titre abrégé: Food Res Int
Pays: Canada
ID NLM: 9210143

Informations de publication

Date de publication:
10 2023
Historique:
received: 12 12 2022
revised: 13 06 2023
accepted: 27 06 2023
medline: 11 9 2023
pubmed: 10 9 2023
entrez: 10 9 2023
Statut: ppublish

Résumé

Nowadays, consumers are increasingly inclined toward plant-based meat analogues for sake of food security, safety, and sustainability. This growing interest, not only from consumers but also from food companies, brought the offer on the market to be wide and vast. From our previous study it emerged that the market supply, especially the Italian one, is diversified both in terms of protein sources and nutrient content. Although these products are increasingly consumed, for most of the meat analogues today on the market, little is still known about their actual protein quality and digestibility. To fill this gap, in this study different commercial plant-based burgers (2 soy-based and 2 pea-based) were selected and compared to two beef burgers, as controls, in terms of protein quality and digestibility. The findings of this study demonstrated the essential amino acidic profile lacks lysine for almost all burgers (including the meat-based ones) compared to the amino acid scoring pattern set by FAO/WHO (for older children and adults), even if the sum of essential amino acids was within the range of sufficiency. All samples showed good initial protein integrity with low hydrolysis (above 6%) and percentage of D-enantiomers (above 15%). The study of the digestibility, performed by the validated INFOGEST in vitro model, showed better protein solubilisation in the case of meat burgers (63 ± 3% and 61 ± 8%), but a good digestibility also in the case of plant-based ones (from 55% to 40%). The degree of hydrolysis of the solubilised proteins was very high in all samples (from 65% to 40%) indicating a very good protein accessibility to digestive enzymes. The analysis of the peptide fraction of digestates indicated a high prevalence of collagen proteins in beef burgers and of reserve proteins in plant-based burgers. This study showed that the differences between these products are mostly dependent on the quality of the raw materials used, rather than on the vegetal or animal protein source. Therefore, to have a product with a good protein quality and digestibility, independently from the protein origin, the consumer needs to make an accurate choice, carefully reading the ingredient list.

Identifiants

pubmed: 37689935
pii: S0963-9969(23)00728-7
doi: 10.1016/j.foodres.2023.113183
pii:
doi:

Substances chimiques

Lysine K3Z4F929H6
Amino Acids, Essential 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113183

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sara Cutroneo (S)

Food and Drug Department, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.

Barbara Prandi (B)

Food and Drug Department, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.

Andrea Faccini (A)

Interdepartmental Centre for Measurements, Parco Area delle Scienze, 23/A, 43124 Parma, Italy.

Nicoletta Pellegrini (N)

Department of Agricultural, Food, Environmental, and Animal Sciences, University of Udine, 33100 Udine, Italy.

Stefano Sforza (S)

Food and Drug Department, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.

Tullia Tedeschi (T)

Food and Drug Department, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy. Electronic address: tullia.tedeschi@unipr.it.

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Classifications MeSH