Nuclear magnetic resonance as an analytical tool for monitoring the quality and authenticity of dairy foods

Celso F. Balthazar, Jonas T. Guimarães, Ramon S. Rocha, Tatiana C. Pimentel, Roberto P.C. Neto, Maria Inês B. Tavares, Juliana S. Graça, Elenilson G. Alves Filho, Mônica Q. Freitas, Erick A. Esmerino, Daniel Granato, Sueli Rodrigues, Renata S.L. Raices, Marcia C. Silva, Anderson S. Sant'Ana, Adriano G. Cruz

Research output: Contribution to journalReview articlepeer-review

Abstract

Background: In the last years, consumers are more conscious about nutrition, welfare, authenticity, and quality of dairy products. Nuclear magnetic resonance (NMR) technology has gained attention as a potential method for food quality and authenticity purposes. Scope and approach: This review aimed to comprehensively explain and discuss the use of NMR for quality and authenticity of milk and dairy products. Key findings and conclusions: The NMR technology showed to be an effective tool to ensure the authenticity and to control the quality of dairy products during the processing and storage. It may be used to measure the fat content of milk and dairy products, evaluate the geographic origin, the molecular water mobility and the water retention capacity of cheeses, study the water mobility in milk beverages, and quantify the bound water molecules in ice creams. Additionally, NMR can detect whey, urea, hydrogen peroxide, synthetic urine, and synthetic milk in raw milk. Furthermore, it can evaluate physicochemical and sensory parameters of the products. NMR is a non-destructive technique, no need sample preparation or solvent separation, is fast and simple, and has high instrumental stability. However, it has disadvantages, like the high costs of acquisition and maintenance. The characterization of dairy foods may benefit from the combination of NMR and chemometrics, mainly to deal with large data matrices and highlight differences/similarities among samples.

Original languageEnglish
Pages (from-to)84-91
Number of pages8
JournalTrends in Food Science and Technology
Volume108
DOIs
Publication statusPublished - Feb 2021
Externally publishedYes

Keywords

  • Dairy foods
  • Nuclear magnetic resonance
  • Quality

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