The importance of nuclear magnetic resonance (NMR) spectroscopy for the food industry, including the coffee industry, has led to several studies using this analytical tool to assess coffee in different scenarios. In this context, this chapter presents an overview of 1H NMR-based metabolomics analysis used in coffee quality control. Several articles using 1H NMR associated with multivariate data analysis have been published to investigate aspects related to quality, authenticity, sensory quality, production processes, and origin of coffee. In addition, the present review reports the main chemical shifts of the constituents present in the extracts of green and roasted coffee beans. The results presented confirm the potential and versatility of 1H NMR combined with chemometric tools for coffee analysis, playing an important role in distinguishing and identifying the origins, quality, and purity of coffee. Exploratory data analysis, classification, and calibration are the most used chemometric methods in metabolomics applied in the coffee field. The results show the potential of NMR and multivariate data analysis for coffee authentication.

Aline Coqueiro, M.R.B. (2022). Coffee Assessment Using 1H NMR Spectroscopy and Multivariate Data Analysis: A Review. singapore : Atta-ur-Rahman and M. Iqbal Choudhary (Eds. Bentham Science.

Coffee Assessment Using 1H NMR Spectroscopy and Multivariate Data Analysis: A Review

Manuela Mandrone;Ferruccio Poli;
2022

Abstract

The importance of nuclear magnetic resonance (NMR) spectroscopy for the food industry, including the coffee industry, has led to several studies using this analytical tool to assess coffee in different scenarios. In this context, this chapter presents an overview of 1H NMR-based metabolomics analysis used in coffee quality control. Several articles using 1H NMR associated with multivariate data analysis have been published to investigate aspects related to quality, authenticity, sensory quality, production processes, and origin of coffee. In addition, the present review reports the main chemical shifts of the constituents present in the extracts of green and roasted coffee beans. The results presented confirm the potential and versatility of 1H NMR combined with chemometric tools for coffee analysis, playing an important role in distinguishing and identifying the origins, quality, and purity of coffee. Exploratory data analysis, classification, and calibration are the most used chemometric methods in metabolomics applied in the coffee field. The results show the potential of NMR and multivariate data analysis for coffee authentication.
2022
Applications of NMR Spectroscopy
35
65
Aline Coqueiro, M.R.B. (2022). Coffee Assessment Using 1H NMR Spectroscopy and Multivariate Data Analysis: A Review. singapore : Atta-ur-Rahman and M. Iqbal Choudhary (Eds. Bentham Science.
Aline Coqueiro, Michel R. Baqueta, Manuela Mandrone, Ferruccio Poli, Patrícia Valderrama
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/846501
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact