A non-targeted metabolomic approach based on reversed-phase liquid chromatography-mass spectrometry to evaluate coffee roasting process

In this work, a non-targeted metabolomics approach based on the use of reversed-phase liquid chromatography coupled to a high-resolution mass spectrometer has been developed to provide the characterization of coffee beans roasted at three different levels (light, medium, and dark). In this way, it w...

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Detalhes bibliográficos
Autores: Pérez Miguez, Raquel, Sánchez López, Elena, Plaza del Moral, Merichel|||0000-0002-9636-6458, Castro Puyana, María|||0000-0003-1412-4103, Marina Alegre, María Luisa|||0000-0002-5583-1624
Formato: artículo
Fecha de publicación:2018
País:España
Recursos:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/48127
Acesso em linha:http://hdl.handle.net/10017/48127
https://dx.doi.org/10.1007/s00216-018-1405-z
Access Level:acceso abierto
Palavra-chave:Non-targeted metabolomics
Liquid chromatography
High-resolution mass spectrometry
Coffee beans
Roasting process
Química
Chemistry
Descrição
Resumo:In this work, a non-targeted metabolomics approach based on the use of reversed-phase liquid chromatography coupled to a high-resolution mass spectrometer has been developed to provide the characterization of coffee beans roasted at three different levels (light, medium, and dark). In this way, it was possible to investigate how metabolites change during the roasting process in order to identify those than can be considered as relevant markers. Twenty-five percent methanol was selected as extracting solvent since it provided the highest number of molecular features. In addition, the effect of chromatographic and MS parameters was evaluated in order to obtain the most adequate separation and detection conditions. Data were analyzed using both non-supervised and supervised multivariate statistical methods to point out the most significant markers that allow group discrimination. A total of 24 and 33 compounds in positive and negative ionization modes, respectively, demonstrated to be relevant markers; most of them were from the hydroxycinnamic acids family.