Literature DB >> 30447115

The potentiality of NMR-based metabolomics in food science and food authentication assessment.

Roberto Consonni1, Laura Ruth Cagliani1.   

Abstract

In the last years, there was an increasing interest on nuclear magnetic resonance (NMR) spectroscopy, whose applications experienced an exponential growth in several research fields, particularly in food science. NMR was initially developed as the elective technique for structure elucidation of single molecules and nowadays is playing a dominant role in complex mixtures investigations. In the era of the "omics" techniques, NMR was rapidly enrolled as one of the most powerful methods to approach metabolomics studies. Its use in analytical routines, characterized by rapid and reproducible measurements, would provide the identification of a wide range of chemical compounds simultaneously, disclosing sophisticated frauds or addressing the geographical origin, as well as revealing potential markers for other authentication purposes. The great economic value of high-quality or guaranteed foods demands highly detailed characterization to protect both consumers and producers from frauds. The present scenario suggests metabolomics as the privileged approach of modern analytical studies for the next decades. The large potentiality of high-resolution NMR techniques is here presented through specific applications and using different approaches focused on the authentication process of some foods, like tomato paste, saffron, honey, roasted coffee, and balsamic and traditional balsamic vinegar of Modena, with a particular focus on geographical origin characterization, ageing determination, and fraud detection.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  13C; 1H; NMR; authentication; balsamic and traditional balsamic vinegar; honey; metabolomics; roasted coffee; saffron; tomato paste

Mesh:

Year:  2018        PMID: 30447115     DOI: 10.1002/mrc.4807

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  8 in total

1.  NMR and HPLC profiling of bee pollen products from different countries.

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Journal:  Food Chem (Oxf)       Date:  2022-07-06

2.  Mixture Analyses of Air-sampled Pollen Extracts Can Accurately Differentiate Pollen Taxa.

Authors:  Leszek J Klimczak; Cordula Ebner von Eschenbach; Peter M Thompson; Jeroen T M Buters; Geoffrey A Mueller
Journal:  Atmos Environ (1994)       Date:  2020-07-06       Impact factor: 4.798

Review 3.  MEATabolomics: Muscle and Meat Metabolomics in Domestic Animals.

Authors:  Susumu Muroya; Shuji Ueda; Tomohiko Komatsu; Takuya Miyakawa; Per Ertbjerg
Journal:  Metabolites       Date:  2020-05-11

Review 4.  The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science.

Authors:  Jun Kikuchi; Shunji Yamada
Journal:  RSC Adv       Date:  2021-09-13       Impact factor: 4.036

Review 5.  Possibilities of Liquid Chromatography Mass Spectrometry (LC-MS)-Based Metabolomics and Lipidomics in the Authentication of Meat Products: A Mini Review.

Authors:  Putri Widyanti Harlina; Vevi Maritha; Ida Musfiroh; Syamsul Huda; Nandi Sukri; Muchtaridi Muchtaridi
Journal:  Food Sci Anim Resour       Date:  2022-09-01

Review 6.  Spectroscopic techniques for authentication of animal origin foods.

Authors:  Vandana Chaudhary; Priyanka Kajla; Aastha Dewan; R Pandiselvam; Claudia Terezia Socol; Cristina Maria Maerescu
Journal:  Front Nutr       Date:  2022-09-20

7.  PSYCHE-A Valuable Experiment in Plant NMR-Metabolomics.

Authors:  Pauline Stark; Caroline Zab; Andrea Porzel; Katrin Franke; Paride Rizzo; Ludger A Wessjohann
Journal:  Molecules       Date:  2020-11-04       Impact factor: 4.411

8.  Use of elemental profiles to verify geographical origin and botanical variety of Spanish honeys with a protected denomination of origin.

Authors:  Michele Ghidotti; Yiannis Fiamegos; Catalina Dumitrascu; María Beatriz de la Calle
Journal:  Food Chem       Date:  2020-10-15       Impact factor: 7.514

  8 in total

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