The consumers’ interest towards beer consumption has been on the rise during the past decade: new approaches and ingredients get tested, expanding the traditional recipe for brewing beer. As a consequence, the field of “beeromics” has also been constantly growing, as well as the demand for quick and exhaustive analytical methods. In this study, we propose a combination of nuclear magnetic resonance (NMR) spectroscopy and chemometrics to characterize beer. 1H‐NMR spectra were collected and then analyzed using chemometric tools. An interval‐based approach was applied to extract chemical features from the spectra to build a dataset of resolved relative concentrations. One aim of this work was to compare the results obtained using the full spectrum and the resolved approach: with a reasonable amount of time needed to obtain the resolved dataset, we show that the resolved information is comparable with the full spectrum information, but interpretability is greatly improved.

A Metabolomic Approach to Beer Characterization / Cavallini, Nicola; Savorani, Francesco; Bro, Rasmus; Cocchi, Marina. - In: MOLECULES. - ISSN 1420-3049. - 26:5(2021), pp. 1472-1487. [10.3390/molecules26051472]

A Metabolomic Approach to Beer Characterization

Cocchi, Marina
2021

Abstract

The consumers’ interest towards beer consumption has been on the rise during the past decade: new approaches and ingredients get tested, expanding the traditional recipe for brewing beer. As a consequence, the field of “beeromics” has also been constantly growing, as well as the demand for quick and exhaustive analytical methods. In this study, we propose a combination of nuclear magnetic resonance (NMR) spectroscopy and chemometrics to characterize beer. 1H‐NMR spectra were collected and then analyzed using chemometric tools. An interval‐based approach was applied to extract chemical features from the spectra to build a dataset of resolved relative concentrations. One aim of this work was to compare the results obtained using the full spectrum and the resolved approach: with a reasonable amount of time needed to obtain the resolved dataset, we show that the resolved information is comparable with the full spectrum information, but interpretability is greatly improved.
2021
8-mar-2021
26
5
1472
1487
A Metabolomic Approach to Beer Characterization / Cavallini, Nicola; Savorani, Francesco; Bro, Rasmus; Cocchi, Marina. - In: MOLECULES. - ISSN 1420-3049. - 26:5(2021), pp. 1472-1487. [10.3390/molecules26051472]
Cavallini, Nicola; Savorani, Francesco; Bro, Rasmus; Cocchi, Marina
File in questo prodotto:
File Dimensione Formato  
molecules-26-01472.pdf

Open access

Tipologia: Versione pubblicata dall'editore
Dimensione 1.41 MB
Formato Adobe PDF
1.41 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1237397
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 14
social impact