Antioxidant and anti-inflammatory properties of sourdoughs containing selected Lactobacilli strains are retained in breads.


Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
30 Aug 2020
Historique:
received: 21 08 2019
revised: 06 02 2020
accepted: 29 03 2020
pubmed: 14 4 2020
medline: 21 7 2020
entrez: 14 4 2020
Statut: ppublish

Résumé

Sourdough fermentation influences several properties of leavened baked goods also because Lactic acid bacteria (LAB) and yeasts produce bioactive peptides with a positive effect on human health. In an early study, three Lactobacilli strains (L. farciminis H3 and A11 and L. sanfranciscensis I4) possessing different proteolytic activities were used to produce sourdoughs containing peptides equipped with anti-inflammatory and/or antioxidant properties. This work was aimed to assess whether these properties could be retained after cooking. The selected LABs were used to produce breads from which low molecular weight (LMW-) peptides were extracted. The results provide solid proofs of keeping both antioxidant and anti-inflammatory activities of peptides from cooked products. Sequences of LMW-peptides either from doughs and breads were determined by mass spectrometry: differences have been noticed in amino acidic composition and in sequences, however, all the strains produce peptides equipped with antioxidant and anti-inflammatory activities.

Identifiants

pubmed: 32283363
pii: S0308-8146(20)30572-0
doi: 10.1016/j.foodchem.2020.126710
pii:
doi:

Substances chimiques

Anti-Inflammatory Agents 0
Antioxidants 0
Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

126710

Informations de copyright

Copyright © 2020 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

Simone Luti (S)

Department of Biomedical Experimental and Clinical Sciences, Università di Firenze, viale Morgagni 50, 50134 Firenze, Italy. Electronic address: simone.luti@unifi.it.

Lorenzo Mazzoli (L)

Department of Biomedical Experimental and Clinical Sciences, Università di Firenze, viale Morgagni 50, 50134 Firenze, Italy. Electronic address: lorenzo.mazzoli@unifi.it.

Matteo Ramazzotti (M)

Department of Biomedical Experimental and Clinical Sciences, Università di Firenze, viale Morgagni 50, 50134 Firenze, Italy. Electronic address: matteo.ramazzotti@unifi.it.

Viola Galli (V)

Department of Agriculture, Food, Environment and Forestry, Università di Firenze, Piazzale delle Cascine, 18, 50144 Firenze, Italy. Electronic address: viola.galli@unifi.it.

Manuel Venturi (M)

FoodMicroTeam s.r.l, Via di Santo Spirito n. 14, Florence, Italy. Electronic address: manuel@foodmicroteam.it.

Giada Marino (G)

Plant Molecular Biology (Botany), Department Biology I, Ludwig-Maximilians-University München, 82152 Martinsried, Germany. Electronic address: Giada.Marino@biologie.uni-muenchen.de.

Martin Lehmann (M)

Plant Molecular Biology (Botany), Department Biology I, Ludwig-Maximilians-University München, 82152 Martinsried, Germany. Electronic address: martin.lehmann@lmu.de.

Simona Guerrini (S)

FoodMicroTeam s.r.l, Via di Santo Spirito n. 14, Florence, Italy. Electronic address: simona@foodmicroteam.it.

Lisa Granchi (L)

Department of Agriculture, Food, Environment and Forestry, Università di Firenze, Piazzale delle Cascine, 18, 50144 Firenze, Italy. Electronic address: lisa.granchi@unifi.it.

Paolo Paoli (P)

Department of Biomedical Experimental and Clinical Sciences, Università di Firenze, viale Morgagni 50, 50134 Firenze, Italy. Electronic address: paolo.paoli@unifi.it.

Luigia Pazzagli (L)

Department of Biomedical Experimental and Clinical Sciences, Università di Firenze, viale Morgagni 50, 50134 Firenze, Italy. Electronic address: luigia.pazzagli@unifi.it.

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Classifications MeSH