Introducing comprehensive multiphase NMR for the analysis of food: Understanding the hydrothermal treatment of starch-based foods.

Comprehensive multiphase NMR Hydrothermal treatment Starch-based foods Structural changes

Journal

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

Informations de publication

Date de publication:
15 Dec 2022
Historique:
received: 29 01 2022
revised: 27 06 2022
accepted: 25 07 2022
pubmed: 2 8 2022
medline: 1 9 2022
entrez: 1 8 2022
Statut: ppublish

Résumé

Cooking is essential for preparing starch-based food, however thermal treatment promotes the complexation of biopolymers, impacting their final properties. Comprehensive Multiphase (CMP) NMR allows all phases (liquids, gels, and solids) to be differentiated and monitored within intact samples. This study acts as a proof-of-principle to introduce CMP-NMR to food research and demonstrate its application to monitor the various phases in spaghetti, black turtle beans, and white long-grain rice, and how they change during the cooking process. When uncooked, only a small fraction of lipids and structurally bound water show any molecular mobility. Once cooked, little "crystalline solid" material is left, and all components exhibit increased molecular dynamics. Upon cooking, the solid-like components in spaghetti contains signals consistent with cellulose that were buried beneath the starches in the uncooked product. Thus, CMP-NMR holds potential for the study of food and related processes involving phase changes such as growth, manufacturing, and composting.

Identifiants

pubmed: 35914461
pii: S0308-8146(22)01762-9
doi: 10.1016/j.foodchem.2022.133800
pii:
doi:

Substances chimiques

Starch 9005-25-8

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

133800

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Andersson Barison (A)

NMR Centre, Department of Chemistry, Federal University of Paraná, Curitiba, Paraná, Brazil.

Rajshree Ghosh Biswas (RG)

Environmental NMR Centre, Department of Physical and Environmental Sciences, University of Toronto, Scarborough, Ontario, Canada.

Paris Ning (P)

Environmental NMR Centre, Department of Physical and Environmental Sciences, University of Toronto, Scarborough, Ontario, Canada.

Flávio Vinícius Crizóstomo Kock (FVC)

Environmental NMR Centre, Department of Physical and Environmental Sciences, University of Toronto, Scarborough, Ontario, Canada; Nuclear Magnetic Resonance Laboratory, Federal University of São Carlos, São Carlos, São Paulo, Brazil.

Ronald Soong (R)

Environmental NMR Centre, Department of Physical and Environmental Sciences, University of Toronto, Scarborough, Ontario, Canada.

Maria Carolina Bezerra Di Medeiros (MCB)

Nuclear Magnetic Resonance Laboratory, Federal University of São Carlos, São Carlos, São Paulo, Brazil; Nuclear Magnetic Resonance Laboratory, Institute of Chemistry, Federal University of Goiás, Goiânia, Goiás, Brazil.

Andre Simpson (A)

Environmental NMR Centre, Department of Physical and Environmental Sciences, University of Toronto, Scarborough, Ontario, Canada. Electronic address: andre.simpson@utoronto.ca.

Luciano Morais Lião (LM)

Nuclear Magnetic Resonance Laboratory, Institute of Chemistry, Federal University of Goiás, Goiânia, Goiás, Brazil. Electronic address: lucianoliao@ufg.br.

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Classifications MeSH